Improving the adaptation process for a new smart home user

Conference paper

Ali, S., Augusto, J. and Windridge, D. 2019. Improving the adaptation process for a new smart home user. Bramer, M. and Petridis, M. (ed.) 39th SGAI International Conference on Artificial Intelligence. Cambridge, UK 17 - 19 Dec 2019 Springer. https://doi.org/10.1007/978-3-030-34885-4_32
TypeConference paper
TitleImproving the adaptation process for a new smart home user
AuthorsAli, S., Augusto, J. and Windridge, D.
Abstract

Artificial Intelligence (AI) has been around for many years and plays a vital role in developing automatic systems that require decision using a data- or model-driven approach. Smart homes are one such system; in them, AI is used to recognize user activities, which is a fundamental task in smart home system design.There are many approaches to this challenge, but data-driven activity recognition approaches are currently perceived the most promising to address the sensor selection uncertainty problem. However, a smart home using a data-driven approach exclusively cannot immediately provide its new occupant with the expected functionality, which has reduced the popularity of the datadriven approach. This paper proposes an approach to develop an integrated personalized system using a user-centric approach comprising survey, simulation, activity recognition and transfer learning. This system will optimize the behaviour of the house using information from the user’s experience and provide required services. The proposed approach has been implemented in a smart home and validated with actual users. The validation results indicate that users benefited from smart features as soon as they move into the new home

KeywordsSmart home; User adaptation; Activity recognition; Transfer learning
Research GroupResearch Group on Development of Intelligent Environments
Conference39th SGAI International Conference on Artificial Intelligence
Proceedings Title Artificial Intelligence XXXVI 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings
SeriesLecture Notes in Artificial Intelligence
EditorsBramer, M. and Petridis, M.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030348847
Electronic9783030348854
PublisherSpringer
Publication dates
Online19 Nov 2019
Publication process dates
Deposited18 Oct 2019
Submitted06 Jul 2019
Accepted11 Sep 2019
Output statusPublished
Accepted author manuscript
Copyright Statement

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-34885-4_32

Additional information

Paper published as:
Ali S.M.M., Augusto J.C., Windridge D. (2019) Improving the Adaptation Process for a New Smart Home User. In: Bramer M., Petridis M. (eds) Artificial Intelligence XXXVI. SGAI 2019. Lecture Notes in Computer Science, vol 11927. Springer, Cham

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-34885-4_32
Web of Science identifierWOS:000582555200032
Web address (URL) of conference proceedingshttps://doi.org/10.1007/978-3-030-34885-4
LanguageEnglish
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A comprehensive classification of deep learning libraries
Pandey, H. and Windridge, D. 2019. A comprehensive classification of deep learning libraries. Yang, X.S., Sherratt, S., Dey, N. and Joshi, A. (ed.) 3rd International Congress on Information and Communication Technology. London, UK 27 - 28 Feb 2018 Singapore Springer. pp. 427-435 https://doi.org/10.1007/978-981-13-1165-9_40
Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment
Ospan, B., Khan, N., Augusto, J., Quinde, M. and Nurgaliyev, K. 2018. Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment. 2018 International Conference on Computing and Network Communications (CoCoNet). Astana, Kazakhstan 15 - 17 Aug 2018 IEEE Computer Society. pp. 36-44 https://doi.org/10.1109/CoCoNet.2018.8476898
RC-ASEF: An open-source tool-supported requirements elicitation framework for context-aware systems development
Alegre, U., Augusto, J. and Evans, C. 2018. RC-ASEF: An open-source tool-supported requirements elicitation framework for context-aware systems development. Annals of Computer Science and Information Systems. 15, pp. 829-838. https://doi.org/10.15439/2018F136
Edit distance Kernelization of NP theorem proving for polynomial-time machine learning of proof heuristics
Windridge, D. and Kammueller, F. 2020. Edit distance Kernelization of NP theorem proving for polynomial-time machine learning of proof heuristics. FICC 2019: Future of Information and Communications Conference. San Francisco, USA 14 - 15 Mar 2019 Springer. pp. 271-283 https://doi.org/10.1007/978-3-030-12385-7_22
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics (ICMLC). 2, pp. 799-806. https://doi.org/10.1109/ICMLC.2016.7872990
Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams
Dafoulas, G., Cardoso Maia, C., Ali, A. and Augusto, J. 2018. Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams. EDULEARN18: 10th annual International Conference on Education and New Learning Technologies. Palma de Mallorca, Spain 02 - 04 Jul 2018 IATED. pp. 11156-11162 https://doi.org/10.21125/edulearn.2018.2759
Personalisation of context-aware solutions supporting asthma management
Quinde, M., Khan, N. and Augusto, J. 2018. Personalisation of context-aware solutions supporting asthma management. 16th International Conference on Computers Helping People with Special Needs. University of Linz, Austria 11 - 13 Jul 2018 Springer. pp. 510-519 https://doi.org/10.1007/978-3-319-94274-2_75
On the intrinsic limits to representationally-adaptive machine-learning
Windridge, D. 2015. On the intrinsic limits to representationally-adaptive machine-learning. ArXiv e-prints.
Proteomic identification and characterization of hepatic glyoxalase 1 dysregulation in non-alcoholic fatty liver disease
Spanos, C., Maldonado, E., Fisher, C., Leenutaphong, P., Oviedo-Orta, E., Windridge, D. and Salguero, F. 2018. Proteomic identification and characterization of hepatic glyoxalase 1 dysregulation in non-alcoholic fatty liver disease. Proteome Science. 16 (1). https://doi.org/10.1186/s12953-018-0131-y
A survey on the evolution of the notion of context-awareness
Augusto, J., Aztiria, A., Kramer, D. and Alegre, U. 2017. A survey on the evolution of the notion of context-awareness. Applied Artificial Intelligence. 31 (7-8), pp. 613-642. https://doi.org/10.1080/08839514.2018.1428490
Interaction patterns for smart spaces: a confident interaction design solution for pervasive sensitive IoT services
Vega-Barbas, M., Pau, I., Augusto, J. and Seoane, F. 2018. Interaction patterns for smart spaces: a confident interaction design solution for pervasive sensitive IoT services. IEEE Access. 6, pp. 1126-1136. https://doi.org/10.1109/ACCESS.2017.2777999
Data governance in the health industry: investigating data quality dimensions within a big data context
Juddoo, S., George, C., Duquenoy, P. and Windridge, D. 2018. Data governance in the health industry: investigating data quality dimensions within a big data context. Applied System Innovation. 1 (4), pp. 1-16. https://doi.org/10.3390/asi1040043
Quantum error-correcting output codes
Windridge, D., Mengoni, R. and Nagarajan, R. 2018. Quantum error-correcting output codes. International Journal of Quantum Information. 16 (8). https://doi.org/10.1142/S0219749918400038
Representational fluidity in embodied (artificial) cognition
Windridge, D. and Thill, S. 2018. Representational fluidity in embodied (artificial) cognition. Biosystems. 172, pp. 9-17. https://doi.org/10.1016/j.biosystems.2018.07.007
Sensorial computing
Varsani, P., Moseley, R., Jones, S., James-Reynolds, C., Chinellato, E. and Augusto, J. 2018. Sensorial computing. in: Filimowicz, M. and Tzankova, V. (ed.) New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies Cham, Switzerland Springer. pp. 265-284
Investigating the role of biometrics in education – the use of sensor data in collaborative learning
Dafoulas, G., Cardoso Maia, C., Samuels-Clarke, J., Ali, A. and Augusto, J. 2018. Investigating the role of biometrics in education – the use of sensor data in collaborative learning. 12th International Conference on e-Learning. Madrid, Spain 17 - 19 Jul 2018 IADIS. pp. 115-123
Engineering intelligent environments: preliminary findings of a systematic review
Santokhee, A., Augusto, J. and Evans, C. 2018. Engineering intelligent environments: preliminary findings of a systematic review. 2nd Workshop on Citizen Centric Smart Cities Solutions (CCSCS'18), The 14th International Conference on Intelligent Environments. Rome, Italy 25 - 28 Jun 2018 IOS Press Ebook. pp. 57-66 https://doi.org/10.3233/978-1-61499-874-7-57
Perspectives on engineering more usable context-aware systems
Alegre, U., Augusto, J. and Evans, C. 2018. Perspectives on engineering more usable context-aware systems. Journal of Ambient Intelligence and Humanized Computing. 9 (5), pp. 1593-1609. https://doi.org/10.1007/s12652-018-0863-7
An improved block matching algorithm for motion estimation in video sequences and application in robotics
Bhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A. 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering. 68, pp. 92-106. https://doi.org/10.1016/j.compeleceng.2018.03.045
Using argumentation to manage users' preferences
Oguego, C., Augusto, J., Muñoz, A. and Springett, M. 2018. Using argumentation to manage users' preferences. Future Generation Computer Systems. 81, pp. 235-243. https://doi.org/10.1016/j.future.2017.09.040
A survey on managing users' preferences in ambient intelligence
Oguego, C., Augusto, J., Muñoz Ortega, A. and Springett, M. 2018. A survey on managing users' preferences in ambient intelligence. Universal Access in the Information Society. 17 (1), pp. 97-114. https://doi.org/10.1007/s10209-017-0527-y
The user-centred intelligent environments development process as a guide to co-create smart technology for people with special needs
Augusto, J., Kramer, D., Alegre, U., Covaci, A. and Santokhee, A. 2018. The user-centred intelligent environments development process as a guide to co-create smart technology for people with special needs. Universal Access in the Information Society. 17 (1), pp. 115-130. https://doi.org/10.1007/s10209-016-0514-8
Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines
Attfield, S., Hewitt, D., Xu, K., Passmore, P., Wagstaff, A., Phillips, G., Windridge, D., Dash, G., Chapman, R. and Mason, L. 2016. Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. IEEE VAST Challenge 2016. Baltimore, MD, USA 23 Oct 2016
Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management
Dafoulas, G., Cardoso Maia, C., Ali, A., Augusto, J. and Lopez, V. 2017. Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management. IE 2017 - 13th International Conference on Intelligent Environments (IE’17). Seoul, Korea (South) 21 - 25 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 114-121 https://doi.org/10.1109/IE.2017.40
Security and privacy requirements engineering for human centric IoT systems using eFRIEND and Isabelle
Kammueller, F., Augusto, J. and Jones, S. 2017. Security and privacy requirements engineering for human centric IoT systems using eFRIEND and Isabelle. IEEE/ACIS 15th International Conference on Software Engineering Research, Management and Application, SERA2017. University of Greenwich, London, United Kingdom 07 - 09 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SERA.2017.7965758
Improved multi-user interaction in a smart environment through a preference-based conflict resolution virtual assistant
Nurgaliyev, K., Di Mauro, D., Khan, N. and Augusto, J. 2017. Improved multi-user interaction in a smart environment through a preference-based conflict resolution virtual assistant. 13th International Conference on Intelligent Environments (IE’17). Seoul, South Korea 23 - 25 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 100-107 https://doi.org/10.1109/IE.2017.21
New methods for stress assessment and monitoring at the workplace
Carneiro, D., Novais, P., Augusto, J. and Payne, N. 2019. New methods for stress assessment and monitoring at the workplace. IEEE Transactions on Affective Computing. 10 (2), pp. 237-254. https://doi.org/10.1109/TAFFC.2017.2699633
Is Context-aware Reasoning = Case-based Reasoning?
Khan, N., Alegre, U., Kramer, D. and Augusto, J. 2017. Is Context-aware Reasoning = Case-based Reasoning? Tenth Interdisciplinary Conference on Modelling and Using Context. Paris, France 20 - 23 Jun 2017 Springer. pp. 418-431 https://doi.org/10.1007/978-3-319-57837-8_35
A framework for distributed interaction in intelligent environments
DiMauro, D., Augusto, J., Origlia, A. and Cutugno, F. 2017. A framework for distributed interaction in intelligent environments. AmI 2017: 2017 European Conference on Ambient Intelligence. Malaga, Spain 26 - 28 Apr 2017 Springer. pp. 136-151 https://doi.org/10.1007/978-3-319-56997-0_11
Supporting context-aware engineering based on stream reasoning
Kramer, D. and Augusto, J. 2017. Supporting context-aware engineering based on stream reasoning. CONTEXT'17: 10th International and Interdisciplinary Conference on Modeling and Using Context. Paris, France 20 - 23 Jun 2017 Springer. pp. 440-453 https://doi.org/10.1007/978-3-319-57837-8_37
Quantum Bootstrap Aggregation
Windridge, D. and Nagarajan, R. 2017. Quantum Bootstrap Aggregation. de Barros, J., Coecke, B. and Pothos, E. (ed.) Quantum Interaction. San Francisco, CA, USA 20 - 22 Jul 2016 Springer. pp. 115-121 https://doi.org/10.1007/978-3-319-52289-0_9
Hamming distance kernelisation via topological quantum computation
Di Pierro, A., Mengoni, R., Nagarajan, R. and Windridge, D. 2017. Hamming distance kernelisation via topological quantum computation. Martín-Vide C., Neruda R. and Vega-Rodríguez M. (ed.) 6th International Conference on the Theory and Practice of Natural Computing. Prague, Czech Republic 18 - 20 Dec 2017 Springer. pp. 269-280 https://doi.org/10.1007/978-3-319-71069-3_21
Emergent intentionality in perception-action subsumption hierarchies
Windridge, D. 2017. Emergent intentionality in perception-action subsumption hierarchies. Frontiers in Robotics and AI. 4. https://doi.org/10.3389/frobt.2017.00038
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Tirunagari, S., Poh, N., Wells, K., Bober, M., Gorden, I. and Windridge, D. 2017. Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications. 28 (3-4), pp. 393-407. https://doi.org/10.1007/s00138-017-0835-5
A generalised framework for saliency-based point feature detection
Brown, M., Windridge, D. and Guillemaut, J. 2017. A generalised framework for saliency-based point feature detection. Computer Vision and Image Understanding. 157, pp. 117-137. https://doi.org/10.1016/j.cviu.2016.09.008
A formal methodology to design and deploy dependable wireless sensor networks
Testa, A., Cinque, M., Coronato, A. and Augusto, J. 2017. A formal methodology to design and deploy dependable wireless sensor networks. Sensors. 17 (1). https://doi.org/10.3390/s17010019
A stigmergic approach to indoor localization using bluetooth low energy beacons
Palumbo, F., Barsocchi, P., Chessa, S. and Augusto, J. 2015. A stigmergic approach to indoor localization using bluetooth low energy beacons. 3rd Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS). Karslrhue, Germany 25 - 28 Aug 2015 IEEE. pp. 1-6 https://doi.org/10.1109/AVSS.2015.7301734
Engineering context-aware systems and applications: a survey
Alegre, U., Augusto, J. and Clark, T. 2016. Engineering context-aware systems and applications: a survey. Journal of Systems and Software. 117, pp. 55-83. https://doi.org/10.1016/j.jss.2016.02.010
The heuristic strategies for assessing wireless sensor network: an event-based formal approach
Testa, A., Cinque, M., Coronato, A., De Pietro, G. and Augusto, J. 2015. The heuristic strategies for assessing wireless sensor network: an event-based formal approach. Journal of Heuristics. 21 (2), pp. 145-175. https://doi.org/10.1007/s10732-014-9258-x
Flexible context aware interface for ambient assisted living
McNaull, J., Augusto, J., Mulvenna, M. and McCullagh, P. 2014. Flexible context aware interface for ambient assisted living. Human-centric Computing and Information Sciences. 4 (1). https://doi.org/10.1186/2192-1962-4-1
Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT
Juneja, P., Evans, P., Windridge, D. and Harris, E. 2016. Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT. BMC Medical Imaging. 16 (1). https://doi.org/10.1186/s12880-016-0107-2
Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration
Avula, S., Spiteri, M., Kumar, R., Lewis, E., Harave, S., Windridge, D., Ong, C. and Pizer, B. 2016. Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration. Quantitative Imaging in Medicine and Surgery. 6 (5), pp. 535-544. https://doi.org/10.21037/qims.2016.10.11
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics. Jeju, South Korea 10 - 13 Jul 2016 IEEE. pp. 799-806 https://doi.org/10.1109/ICMLC.2016.7872990
Can DMD obtain a scene background in color?
Tirunagari, S., Poh, N., Bober, M. and Windridge, D. 2016. Can DMD obtain a scene background in color? 2016 International Conference on Image, Vision and Computing (ICIVC). Portsmouth, UK 03 - 05 Aug 2016 pp. 46-50 https://doi.org/10.1109/ICIVC.2016.7571272
An investigation into the efficacy of avatar-based systems for student advice
Currie, E., Harvey, P., Daryanani, P., Augusto, J., Arif, R. and Ali, A. 2016. An investigation into the efficacy of avatar-based systems for student advice. EAI Endorsed Transactions on e-Learning. 3 (11). https://doi.org/10.4108/eai.15-6-2016.151450
Co-creation of smart technology with (and for) people with special needs
Augusto, J., Kramer, D., Alegre, U., Covaci, A. and Santokhee, A. 2016. Co-creation of smart technology with (and for) people with special needs. 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion. Vila Real, Portugal 01 - 03 Dec 2016 Association for Computing Machinery (ACM). pp. 39-46 https://doi.org/10.1145/3019943.3019950
Enhancing student support with a virtual assistant
Harvey, P., Currie, E., Daryanani, P. and Augusto, J. 2016. Enhancing student support with a virtual assistant. Vincenti, G., Bucciero, A. and Vaz de Carvalho, C. (ed.) eLEOT 2015: 2nd EAI International Conference on e-Learning e-Education and Online Training. Novedrate, Italy 16 - 18 Sep 2015 Springer. pp. 101-109 https://doi.org/10.1007/978-3-319-28883-3_13
Kernel combination via debiased object correspondence analysis
Windridge, D. and Yan, F. 2016. Kernel combination via debiased object correspondence analysis. Information Fusion. 27, pp. 228-239. https://doi.org/10.1016/j.inffus.2015.02.002
Temporal reasoning for intuitive specification of context-awareness
Alegre, U., Augusto, J. and Aztiria, A. 2014. Temporal reasoning for intuitive specification of context-awareness. 10th International Conference on Intelligent Environments - IE'14. Shanghai, China 30 Jun - 04 Jul 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 234-241
Advancing ambient assisted living with caution
Huyck, C., Augusto, J., Gao, X. and Botia, J. 2015. Advancing ambient assisted living with caution. in: Helfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C. (ed.) Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers Springer.
Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI
Spiteri, M., Windridge, D., Avula, S., Kumar, R. and Lewis, E. 2015. Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI. Journal of Medical Imaging. 2 (4), p. 044502. https://doi.org/10.1117/1.JMI.2.4.044502
Assessing real world imagery in virtual environments for people with cognitive disabilities
Covaci, A., Kramer, D., Augusto, J., Rus, S. and Braun, A. 2015. Assessing real world imagery in virtual environments for people with cognitive disabilities. Intelligent Environments 2015. Prague, Czech Republic 15 - 17 Jul 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 41-48
Spatial health systems: the state of the art
Gottfried, B., Aghajan, H., Wong, K., Augusto, J., Guesgen, H., Kirste, T. and Lawo, M. 2014. Spatial health systems: the state of the art. in: Holzinger, A., Ziefle, M. and Roecker, C. (ed.) Smart health. State of the art Springer Verlag. pp. 41-70
Developing navigational services for people with Down's Syndrome
Kramer, D., Covaci, A. and Augusto, J. 2015. Developing navigational services for people with Down's Syndrome. 2015 International Conference on Intelligent Environments. Prague, Czech Republic 15 - 17 Jul 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 128-131 https://doi.org/10.1109/IE.2015.26
Context-awareness to increase inclusion of people with DS in society
Kramer, D., Augusto, J. and Clark, T. 2014. Context-awareness to increase inclusion of people with DS in society. AAAI 14: Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environments (ATSE 2014). Quebec City, Quebec, Canada 27 - 31 Jul 2014 Association for the Advancement of Artificial Intelligence (AAAI). pp. 27-31
Night optimised care technology for users needing assisted lifestyles
Augusto, J., Mulvenna, M., Zheng, H., Wang, H., Martin, S., McCullagh, P. and Wallace, J. 2014. Night optimised care technology for users needing assisted lifestyles. Behaviour and Information Technology. 33 (12), pp. 1261-1277. https://doi.org/10.1080/0144929X.2013.816773
Personalized smart environments to increase inclusion of people with Down's Syndrome
Augusto, J., Grimstad, T., Wichert, R., Schulze, E., Braun, A., Rødevand, G. and Ridley, V. 2013. Personalized smart environments to increase inclusion of people with Down's Syndrome. Augusto, J., Wichert, R., Collier, R., Keyson, D., Salah, A. and Tan, A. (ed.) International Joint Conference on Ambient Intelligence. Dublin, Ireland Springer International. https://doi.org/10.1007/978-3-319-03647-2_16
Reflections on ambient intelligence systems handling of user preferences and needs
Augusto, J. 2014. Reflections on ambient intelligence systems handling of user preferences and needs. The 10th International Conference on Intelligent Environments (IE'14). Shanghai, P.R. China 29 Jun - 04 Jul 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 369-371
AAL4DS (Can AAL technology help people with Down’s Syndrome to live better lives?)
Augusto, J. 2012. AAL4DS (Can AAL technology help people with Down’s Syndrome to live better lives?). Proceedings of AALForum2012 (Tomorrow in Sight: from Design to Delivery). Eindhoven, The Netherlands 26 Sep 2012 pp. 79-83
Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Hu, G. and Windridge, D. 2015. Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses. https://doi.org/10.48550/arXiv.1503.06316
Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children
Spiteri, M., Lewis, E., Windridge, D. and Avula, S. 2015. Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children. Medical imaging 2015: Computer-Aided Diagnosis. Orlando, Florida, United States 21 Feb 2015 Society of Photo-optical Instrumentation Engineers. https://doi.org/10.1117/12.2081591
Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics
Tirunagari, S., Poh, N., Bober, M. and Windridge, D. 2015. Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. 2015 IEEE International Workshop on Information Forensics and Security (WIFS). Rome, Italy 16 - 19 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-6 https://doi.org/10.1109/WIFS.2015.7368599
Globally optimal 2D-3D registration from points or lines without correspondences
Brown, M., Windridge, D. and Guillemaut, J. 2015. Globally optimal 2D-3D registration from points or lines without correspondences. 2015 IEEE International Conference on Computer Vision (ICCV). Santiago, Chile 07 - 13 Dec 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 2111-2119 https://doi.org/10.1109/ICCV.2015.244
A generalisable framework for saliency-based line segment detection
Brown, M., Windridge, D. and Guillemaut, J. 2015. A generalisable framework for saliency-based line segment detection. Pattern Recognition. 48 (12), pp. 3993-4011. https://doi.org/10.1016/j.patcog.2015.06.015
A novel Markov logic rule induction strategy for characterizing sports video footage
Windridge, D., Kittler, J., De Campos, T., Yan, F., Christmas, W. and Khan, A. 2015. A novel Markov logic rule induction strategy for characterizing sports video footage. IEEE MultiMedia. 22 (2), pp. 24-35. https://doi.org/10.1109/MMUL.2014.36
Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems
Da Lio, M., Biral, F., Bertolazzi, E., Galvani, M., Bosetti, P., Windridge, D., Saroldi, A. and Tango, F. 2015. Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems. IEEE Transactions on Intelligent Transportation Systems. 16 (1), pp. 244-263. https://doi.org/10.1109/TITS.2014.2330199
A group decision making model for partially ordered preference under uncertainty
Chen, S., Liu, J., Wang, H. and Augusto, J. 2015. A group decision making model for partially ordered preference under uncertainty. Information Fusion. 25, pp. 32-41. https://doi.org/10.1016/j.inffus.2014.11.001
Breast cancer data analytics with missing values: a study on ethnic, age and income groups
Tirunagari, S., Poh, N., Abdulrahman, H., Nemmour, N. and Windridge, D. 2015. Breast cancer data analytics with missing values: a study on ethnic, age and income groups. ArXiv e-prints: Quantitative Biology > Quantitative Methods. https://doi.org/10.48550/arXiv.1503.03680
eFRIEND: an ethical framework for intelligent environments development
Jones, S., Hara, S. and Augusto, J. 2015. eFRIEND: an ethical framework for intelligent environments development. Ethics and Information Technology. 17 (1), pp. 11-25. https://doi.org/10.1007/s10676-014-9358-1
Detection of face spoofing using visual dynamics
Tirunagari, S., Poh, N., Windridge, D., Iorliam, A., Suki, N. and Ho, A. 2015. Detection of face spoofing using visual dynamics. IEEE Transactions on Information Forensics and Security. 10 (4), pp. 762-777. https://doi.org/10.1109/TIFS.2015.2406533
Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation
Khan, A., Windridge, D. and Kittler, J. 2014. Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation. IEEE Transactions on Cybernetics. 44 (10), pp. 1910-1923. https://doi.org/10.1109/TCYB.2014.2299955
Requirements for context-aware systems
Evans, C., Brodie, L. and Augusto, J. 2014. Requirements for context-aware systems. 20th International Working Conference on Requirements Engineering: Foundations for Software Quality (REFSQ). Essen, Germany 07 - 10 Apr 2014 pp. 137-138
Requirements engineering for intelligent environments
Evans, C., Brodie, L. and Augusto, J. 2014. Requirements engineering for intelligent environments. The 10th International Conference on Intelligent Environments. Shanghai, China 29 Jun - 04 Jul 2014 pp. 154-161
A user-centric software development process
Augusto, J. 2014. A user-centric software development process. The 10th International Conference on Intelligent Environments (IE'14). Shanghai, P.R. China 29 Jun - 04 Jul 2014 pp. 252-255
Domain anomaly detection in machine perception: a system architecture and taxonomy
Kittler, J., Christmas, W., De Campos, T., Windridge, D., Yan, F., Illingworth, J. and Osman, M. 2014. Domain anomaly detection in machine perception: a system architecture and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36 (5), pp. 845-859. https://doi.org/10.1109/TPAMI.2013.209
Sensors for Ambient Assisted Living (AAL) and smart homes
Martinez Madrid, N., Martinez Fernandez, J., Seepold, R. and Augusto, J. 2013. Sensors for Ambient Assisted Living (AAL) and smart homes. in: Filippini, D. (ed.) Autonomous Sensor Networks: Collective Sensing Strategies for Analytical Purposes Springer.
Context-aware discovery of human frequent behaviours through sensor information interpretation
Aztiria, A. and Augusto, J. 2013. Context-aware discovery of human frequent behaviours through sensor information interpretation. in: Guesgen, H. and Marsland, S. (ed.) Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security IGI Global. pp. 14-32
A hierarchical human activity recognition framework based on automated reasoning
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. A hierarchical human activity recognition framework based on automated reasoning. IEEE International Conference on Systems, Man and Cybernetics (SMC2013). Manchester, UK 13 - 16 Oct 2013
A linguistic multi-criteria decision making approach based on logical reasoning
Chen, S., Liu, J., Wang, H. and Augusto, J. 2014. A linguistic multi-criteria decision making approach based on logical reasoning. Information Sciences. 258, pp. 266-276. https://doi.org/10.1016/j.ins.2013.08.040
Participatory research to design a novel system to support the night-time needs of people with dementia; NOCTURNAL
Martin, S., Augusto, J., McCullagh, P., Carswell, W., Zheng, H., Wang, H., Wallace, J. and Mulvenna, M. 2013. Participatory research to design a novel system to support the night-time needs of people with dementia; NOCTURNAL. International Journal of Environmental Research and Public Health. 10 (12), pp. 6764-6782. https://doi.org/10.3390/ijerph10126764
Self-aware trader: a new approach to safer trading
Martínez Fernández, J., Augusto, J., Trombino, G., Seepold, R. and Martinez Madrid, N. 2013. Self-aware trader: a new approach to safer trading. Journal of Universal Computer Science. 19 (15), pp. 2292-2319.
Learning frequent behaviours of the users in intelligent environments
Aztiria, A., Augusto, J., Basagoiti, R., Izaguirre, A. and Cook, D. 2013. Learning frequent behaviours of the users in intelligent environments. IEEE Transactions on Systems Man and Cybernetics: Systems. 43 (6), pp. 1265-1278. https://doi.org/10.1109/TSMC.2013.2252892
Intelligent environments: a manifesto
Augusto, J., Callaghan, V., Kameas, A., Cook, D. and Satoh, I. 2013. Intelligent environments: a manifesto. Human-centric Computing and Information Sciences. 3 (12). https://doi.org/10.1186/2192-1962-3-12
A saliency-based framework for 2D-3D registration
Brown, M., Guillemaut, J. and Windridge, D. 2014. A saliency-based framework for 2D-3D registration. 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014). Lisbon, Portugal 05 - 08 Jan 2014 SCITEPRESS - Science and Technology Publications. pp. 265-273 https://doi.org/10.5220/0004675402650273
Supervised selective kernel fusion for membrane protein prediction
Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. 2014. Supervised selective kernel fusion for membrane protein prediction. Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. (ed.) 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. pp. 98-109 https://doi.org/10.1007/978-3-319-09192-1_9
Challenges in designing an online healthcare platform for personalised patient analytics
Poh, N., Tirunagari, S. and Windridge, D. 2014. Challenges in designing an online healthcare platform for personalised patient analytics. 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD). Orlando, FL., USA 09 - 12 Dec 2014 IEEE. pp. 1-6 https://doi.org/10.1109/CIBD.2014.7011526
Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Aliabadi, K., Windridge, D. and Cooke, D. 2014. Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Orlando, FL., USA 09 - 12 Dec 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 304-309 https://doi.org/10.1109/CIDM.2014.7008682
Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs
Chernousova, E., Levdik, P., Tatarchuk, A., Mottl, V. and Windridge, D. 2014. Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs. 22nd International Conference on Pattern Recognition ICPR 2014. Stockholm, Sweden 24 - 28 Aug 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 3654-3659 https://doi.org/10.1109/ICPR.2014.628
Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection
Chernousova, E., Razin, N., Krasotkina, O., Mottl, V. and Windridge, D. 2014. Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection. in: Aleskerov, F., Goldengorin, B. and Pardalos, P. (ed.) Clusters, Orders, and Trees: Methods and Applications: In Honor of Boris Mirkin's 70th Birthday New York Springer.
Automatic annotation of tennis games: an integration of audio, vision, and learning
Yan, F., Kittler, J., Windridge, D., Christmas, W., Mikolajczyk, K., Cox, S. and Huang, Q. 2014. Automatic annotation of tennis games: an integration of audio, vision, and learning. Image and Vision Computing. 32 (11), pp. 896-903. https://doi.org/10.1016/j.imavis.2014.08.004
A kernel-based framework for medical big-data analytics
Windridge, D. and Bober, M. 2014. A kernel-based framework for medical big-data analytics. in: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges Springer. pp. 197-208
eFRIEND: an ethical framework for intelligent environment development
Jones, S., Augusto, J. and Hara, S. 2014. eFRIEND: an ethical framework for intelligent environment development. The 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments: PETRA 2014. Rhodes, Greece 27 - 30 May 2014 Association for Computing Machinery (ACM). https://doi.org/10.1145/2674396.2674410
Visualization of data for ambient assisted living services
Mulvenna, M., Carswell, W., McCullagh, P., Augusto, J., Zheng, H., Jeffers, P., Wang, H. and Martin, S. 2011. Visualization of data for ambient assisted living services. IEEE Communications Magazine. 49 (1), pp. 110-117. https://doi.org/10.1109/MCOM.2011.5681023
Mass function derivation and combination in multivariate data spaces
Wang, H., Liu, J. and Augusto, J. 2010. Mass function derivation and combination in multivariate data spaces. Information Sciences. 180 (6), pp. 813-819. https://doi.org/10.1016/j.ins.2009.08.027
Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system
Muñoz, A., Augusto, J., Villa, A. and Botía, J. 2011. Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system. Personal and Ubiquitous Computing. 15 (4), pp. 377-387. https://doi.org/10.1007/s00779-010-0361-1
Ordering based decision making: a survey
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. Ordering based decision making: a survey. Information Fusion. 14 (4), pp. 521-531. https://doi.org/10.1016/j.inffus.2012.10.005
Software simulation and verification to increase the reliability of intelligent environments
Augusto, J. and Hornos, M. 2013. Software simulation and verification to increase the reliability of intelligent environments. Advances in Engineering Software. 58, pp. 18-34. https://doi.org/10.1016/j.advengsoft.2012.12.004
Using patterns position distribution for software failure detection
Li, C., Chen, Z., Du, H., Wang, H., Wilkie, G., Augusto, J. and Liu, J. 2013. Using patterns position distribution for software failure detection. International Journal of Computational Intelligence Systems. 6 (2), pp. 234-243. https://doi.org/10.1080/18756891.2013.768442
A sensor technology survey for a stress aware trading process
Fernandez, J., Augusto, J., Seepold, R. and Madrid, N. 2012. A sensor technology survey for a stress aware trading process. Transactions on Systems, Man and Cybernetics - Part C. 42 (6), pp. 809-824. https://doi.org/10.1109/TSMCC.2011.2179028
Discovering frequent user-environment interactions in intelligent environments
Aztiria, A., Augusto, J., Basagoiti, R., Izaguirre, A. and Cook, D. 2012. Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing. 16 (1), pp. 91-103. https://doi.org/10.1007/s00779-011-0471-4
A linguistic truth-value temporal reasoning (LTR) system and its application to the design of an intelligent environment
Lu, Z., Augusto, J., Liu, J. and Wang, H. 2012. A linguistic truth-value temporal reasoning (LTR) system and its application to the design of an intelligent environment. International Journal of Computational Intelligence Systems. 5 (1), pp. 173-196. https://doi.org/10.1080/18756891.2012.670529
Static verification of wireless sensor networks with formal methods
Testa, A., Coronato, A., Cinque, M. and Augusto, J. 2012. Static verification of wireless sensor networks with formal methods. 8th International Conference on Signal Image Technology and Internet Based Systems (SITIS 2012). Naples, Italy 25 - 29 Nov 2012 pp. 587-594
Modeling eating disorders of cognitive impaired people
Coronato, A., De Pietro, G. and Augusto, J. 2012. Modeling eating disorders of cognitive impaired people. HumanCom'2012. Gwangju, South Korea pp. 165-172
High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP)
Abbey, C., Hope, C., Sterr, A., Elangovan, P., Geades, N., Windridge, D., Young, K., Wells, K. and Mello-Thoms, C. 2013. High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP). SPIE Proceedings Vol. 8673. https://doi.org/10.1117/12.2007557
An evidential reasoning based approach for decision making with partially ordered preference under uncertainty
Chen, S., Liu, J., Wang, H. and Augusto, J. 2013. An evidential reasoning based approach for decision making with partially ordered preference under uncertainty. 2013 International Conference on Machine Learning and Cybernetics. Tianjin, China 14 - 17 Jul 2013 IEEE. pp. 1712-1717 https://doi.org/10.1109/ICMLC.2013.6890874
Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene
Taya, S., Windridge, D. and Osman, M. 2012. Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene. PLoS ONE. 7 (6). https://doi.org/10.1371/journal.pone.0039060
A reasoning system for uncertain and dynamic environments
Lu, Z., Augusto, J., Liu, J., Wang, H. and Aztiria, A. 2012. A reasoning system for uncertain and dynamic environments. International Journal on Artificial Intelligence Tools. 21 (5). https://doi.org/10.1142/S0218213012500236
Data and information quality issues in ambient assisted living systems
McNaull, J., Augusto, J., Mulvenna, M. and McCullagh, P. 2012. Data and information quality issues in ambient assisted living systems. Journal of Data and Information Quality. 4 (1), pp. 1-15. https://doi.org/10.1145/2378016.2378020
Living without a safety net in an Intelligent Environment
Augusto, J., McCullagh, P. and Augusto-Walkden, J. 2011. Living without a safety net in an Intelligent Environment. ICST Transactions on Ambient Systems. 11 (10-12). https://doi.org/10.4108/trans.amsys.2011.e6
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
Poh, N., Windridge, D., Mottl, V., Tatarchuk, A. and Eliseyev, A. 2010. Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Transactions on Information Forensics and Security. 5 (3), pp. 461-469. https://doi.org/10.1109/TIFS.2010.2053535