2020
DOI: 10.1007/s10209-020-00760-5
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AnAbEL: towards empowering people living with dementia in ambient assisted living

Abstract: Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.

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Cited by 14 publications
(3 citation statements)
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“… [ 79 ] S57 AnAbEL: Towards empowering people living with dementia in ambient assisted living Gimenez Manuel, J.G., Augusto, J.C., and Stewart, J. [ 80 ] S58 Sensor failure detection in ambient assisted living using association rule mining ElHady, N.E., Jonas, S., Provost, J., and Senner, V. [ 81 ] S59 Deliberative Context-Aware Ambient Intelligence System for Assisted Living Homes Babli, M., Rincon, J.A., Onaindia, E., Carrascosa, C., and Julian, V. [ 82 ] S60 Evaluating the impact of different symmetrical models of ambient assisted living systems Alosaimi, W., Ansari, M.T.J., Alharbi, A., Alyami, H., Seh, A.H., Pandey, A.K., Agrawal, A. and Khan, R.A. [ 83 ] S61 FriendCare-AAL: a robust social IoT-based alert generation system for ambient assisted living Gulati, N., and Kaur, P.D. [ 84 ] …”
Section: Table A1mentioning
confidence: 99%
“… [ 79 ] S57 AnAbEL: Towards empowering people living with dementia in ambient assisted living Gimenez Manuel, J.G., Augusto, J.C., and Stewart, J. [ 80 ] S58 Sensor failure detection in ambient assisted living using association rule mining ElHady, N.E., Jonas, S., Provost, J., and Senner, V. [ 81 ] S59 Deliberative Context-Aware Ambient Intelligence System for Assisted Living Homes Babli, M., Rincon, J.A., Onaindia, E., Carrascosa, C., and Julian, V. [ 82 ] S60 Evaluating the impact of different symmetrical models of ambient assisted living systems Alosaimi, W., Ansari, M.T.J., Alharbi, A., Alyami, H., Seh, A.H., Pandey, A.K., Agrawal, A. and Khan, R.A. [ 83 ] S61 FriendCare-AAL: a robust social IoT-based alert generation system for ambient assisted living Gulati, N., and Kaur, P.D. [ 84 ] …”
Section: Table A1mentioning
confidence: 99%
“…An ancillary benefit of solving the challenge is the copious quantity of generated Data, giving insight into the User's behaviour (e.g., eating habit, sleeping pattern, activity pattern, etc.). This Data can provide valuable insights into the health (i.e., progression of diseases) of individuals with special needs, the energy utilisation patterns of the residents, enabling the optimisation of consumption [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…AmI has proven helpful for healthcare and senior citizens. It has been used in a broad spectrum of related applications, such as monitoring seniors and alerting caregivers, recognising seniors' activities, Alzheimer detection, managing stress, and empowering people living with the early stages of dementia with autonomy (Bozan et al 2019;Schmidt et al 2018;Giménez-Manuel et al 2022).…”
Section: C1 Introductionmentioning
confidence: 99%