Bing Ye
Bing Ye
Research Manager, IATSL, University of Toronto
Verified email at
Cited by
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Detecting agitation and aggression in people with dementia using sensors—a systematic review
SS Khan, B Ye, B Taati, A Mihailidis
Alzheimer's & Dementia 14 (6), 824-832, 2018
The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy
E Dolatabadi, YX Zhi, B Ye, M Coahran, G Lupinacci, A Mihailidis, ...
Proceedings of the 11th EAI International Conference on Pervasive Computing …, 2017
Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition
B Chikhaoui, B Ye, A Mihailidis
Journal of Ambient Intelligence and Humanized Computing 8 (6), 957-976, 2017
Daad: A framework for detecting agitation and aggression in people living with dementia using a novel multi-modal sensor network
SS Khan, T Zhu, B Ye, A Mihailidis, A Iaboni, K Newman, AH Wang, ...
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 703-710, 2017
Agitation detection in people living with dementia using multimodal sensors
SS Khan, S Spasojevic, J Nogas, B Ye, A Mihailidis, A Iaboni, A Wang, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Challenges in collecting big data in a clinical environment with vulnerable population: Lessons learned from a study using a multi-modal sensors platform
B Ye, SS Khan, B Chikhaoui, A Iaboni, LS Martin, K Newman, A Wang, ...
Science and engineering ethics 25 (5), 1447-1466, 2019
Ensemble learning-based algorithms for aggressive and agitated behavior recognition
B Chikhaoui, B Ye, A Mihailidis
Ubiquitous Computing and Ambient Intelligence, 9-20, 2016
Aggressive and agitated behavior recognition from accelerometer data using non-negative matrix factorization
B Chikhaoui, B Ye, A Mihailidis
Journal of Ambient Intelligence and Humanized Computing 9 (5), 1375-1389, 2018
Influence of multiple sclerosis on spatiotemporal gait parameters: A systematic review and meta-regression
JN Chee, B Ye, S Gregor, D Berbrayer, A Mihailidis, KK Patterson
Archives of Physical Medicine and Rehabilitation 102 (9), 1801-1815, 2021
A pilot study to detect agitation in people living with dementia using multi-modal sensors
S Spasojevic, J Nogas, A Iaboni, B Ye, A Mihailidis, A Wang, SJ Li, ...
Journal of Healthcare Informatics Research 5 (3), 342-358, 2021
Dementia care apps for people with dementia and informal caregivers: a systematic review protocol
B Ye, TV How, CH Chu, A Mihailidis
Gerontology 67 (5), 633-638, 2021
Sex and gender differences in technology needs and preferences among informal caregivers of persons with dementia
C Xiong, B Ye, A Mihailidis, JI Cameron, A Astell, E Nalder, A Colantonio
BMC geriatrics 20 (1), 1-12, 2020
Attitudes and perspectives of older adults on technologies for assessing frailty in home settings: a focus group study
C Bian, B Ye, A Hoonakker, A Mihailidis
BMC geriatrics 21 (1), 1-13, 2021
Technology for home-based frailty assessment and prediction: A systematic review
Stroke patients’ experiences in an adaptive healing room in a stroke rehabilitation unit
I Arbel, B Ye, A Mihailidis
HERD: Health Environments Research & Design Journal 13 (2), 170-185, 2020
Unsupervised deep learning to detect agitation from videos in people with dementia
SS Khan, PK Mishra, N Javed, B Ye, K Newman, A Mihailidis, A Iaboni
IEEE Access 10, 10349-10358, 2022
Towards a novel set of GPS‐derived metrics to identify the differences between mobility patterns of cognitively intact older adults and older adults with dementia: Mapping …
S Bayat, B Ye, E Stasiulis, MJ Rapoport, G Naglie, A Mihailidis
Alzheimer's & Dementia 16, e039485, 2020
Tracking agitation in people living with dementia in a care environment
SS Khan, T Sooriyakumaran, K Rich, S Spasojevic, B Ye, K Newman, ...
arXiv preprint arXiv:2104.09305, 2021
Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review
X Wang, Y Fu, B Ye, J Babineau, Y Ding, A Mihailidis
Journal of medical Internet research 24 (6), e34307, 2022
The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment
C Bian, B Ye, A Mihailidis
Sensors 22 (9), 2022
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