Creating an ambient intelligence network using insight and merged reality technologies

Conference paper


Moseley, R. 2017. Creating an ambient intelligence network using insight and merged reality technologies. 2017 Computing Conference. London, UK 18 - 20 Jul 2017 IEEE. pp. 469-474 https://doi.org/10.1109/sai.2017.8252139
TypeConference paper
TitleCreating an ambient intelligence network using insight and merged reality technologies
AuthorsMoseley, R.
Abstract

Humans live and work in environments which are essentially “dumb”, though recently, due to information networks, devices within these areas have increasingly become connected. The system presented here builds on previous work to create an ambient intelligence zone using facets of a merged reality system and a new process based on recognition/insight patterns. When combined, agents within the system communicate and react as one to form a responsive ambient intelligence at a given location

KeywordsAmbient Intelligence; Robot Autonomy; Merged Realities; Intelligent Systems
Research GroupIntelligent Environments group
LanguageEnglish
Conference2017 Computing Conference
Page range469-474
Proceedings Title2017 Computing Conference
ISBN
Electronic9781509054435
Paperback9781509054442
PublisherIEEE
Publication dates
Print20 Jul 2017
Online11 Jan 2018
Publication process dates
Deposited15 Dec 2016
Accepted14 Nov 2016
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/sai.2017.8252139
Web of Science identifierWOS:000426944400057
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/8240022/proceeding
Permalink -

https://repository.mdx.ac.uk/item/86vx3

Download files


Accepted author manuscript
  • 41
    total views
  • 10
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application
Fatima, S., Augusto, J., Moseley, R., Urbonas, P., Elliott, A. and Payne, N. 2023. Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application. Entertainment Computing. 46. https://doi.org/10.1016/j.entcom.2023.100571
Gamification for healthier lifestyle – user retention
Fatima, S., Augusto, J., Moseley, R. and Urbonas, P. 2022. Gamification for healthier lifestyle – user retention. 3rd Workshop on Smart Data Integration and Processing on Service Based Environments (STRAPS 2021). Dubai, UAE 22 Nov 2021 Springer. pp. 217-227 https://doi.org/10.1007/978-3-031-14135-5_17
Context-aware support for cardiac health monitoring using federated machine learning
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2021. Context-aware support for cardiac health monitoring using federated machine learning. Bramer, M. and Ellis, R. (ed.) 41st SGAI International Conference on Artificial Intelligence (AI-2021). Cambridge, England 14 - 16 Dec 2021 Springer. pp. 267-281 https://doi.org/10.1007/978-3-030-91100-3_22
Advanced cybersecurity technologies
Moseley, R. 2021. Advanced cybersecurity technologies. Boca Raton, United States CRC Press.
Context-aware approach for cardiac rehabilitation monitoring
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2020. Context-aware approach for cardiac rehabilitation monitoring. Iglesias, C., Novella, J., Ricci, A., Pinto, D. and Roman, D. (ed.) 4th International Workshop on Citizen-Centric Smart Cities Services (CCSCS 2020). Madrid, Spain 22 - 23 Jun 2020 IOS Press. pp. 167-176 https://doi.org/10.3233/AISE200039
Context-aware system for cardiac condition monitoring and management: a survey
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2020. Context-aware system for cardiac condition monitoring and management: a survey. Behaviour and Information Technology. 41 (4), pp. 759-776. https://doi.org/10.1080/0144929X.2020.1836255
The space between worlds: Liminality, multidimensional Virtual Reality and Deep Immersion
Moseley, R. 2019. The space between worlds: Liminality, multidimensional Virtual Reality and Deep Immersion. Arai, K., Bhatia, R. and Kapoor, S. (ed.) Computing Conference 2019. London, United Kingdom 16 - 17 Jun 2019 Springer. pp. 548-562 https://doi.org/10.1007/978-3-030-22871-2_37
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 Springer. pp. 265-284
Deep immersion with Kasina: an exploration of meditation and concentration within virtual reality environments
Moseley, R. 2017. Deep immersion with Kasina: an exploration of meditation and concentration within virtual reality environments. 2017 Computing Conference. London, UK 18 - 20 Jul 2017 IEEE. pp. 523-529 https://doi.org/10.1109/SAI.2017.8252146
Immersive brain entrainment in virtual worlds: Actualizing meditative states
Moseley, R. 2016. Immersive brain entrainment in virtual worlds: Actualizing meditative states. Chen, L., Kapoor, S. and Bhatia, R. (ed.) 2015 Science and Information Conference (SAI). London, United Kingdom 28 - 30 Jul 2015 Springer. https://doi.org/10.1007/978-3-319-33353-3_17
Inducing targeted brain states utilizing merged reality systems
Moseley, R. 2015. Inducing targeted brain states utilizing merged reality systems. 2015 Science and Information Conference (SAI). London, United Kingdom 28 - 30 Jul 2015 IEEE. pp. 657-663
Merged reality systems: bringing together automation and tracking through immersive geospatial connected environments
Moseley, R. 2014. Merged reality systems: bringing together automation and tracking through immersive geospatial connected environments. 2014 Science and Information Conference (SAI). London, UK 27 - 29 Aug 2014 IEEE. pp. 732-735 https://doi.org/10.1109/sai.2014.6918268