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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3446) Wearable Devices and Sensors (1497) Aging in Place (490) Mobile Devices and Apps for Seniors and Healthy Aging (383)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67373, first published .
Elderly woman in a white robe brushing her teeth in the mirror

Recognition of Basic Activities of Daily Living Using Wearable Devices for Older Adults: Scoping Review

Recognition of Basic Activities of Daily Living Using Wearable Devices for Older Adults: Scoping Review

Authors of this article:

Samantha J Ray1 Author Orcid Image ;   Josh Cherian2 Author Orcid Image ;   Amanda Mae Liberty1 Author Orcid Image ;   Tracy Anne Hammond3 Author Orcid Image ;   Paula K Shireman1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

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  1. Chowdhury R, Bari W, Hasan M, Hossain Z, Rahman M. Artificial Intelligence-Based Models for Predicting Disease Course Risk Using Patient Data. Computers 2026;15(2):113 View
  2. Moghadam P, Fekr A. AI-Driven Activity of Daily Living Monitoring: A Comprehensive Review of Ambient, Wearable, and Fusion-Based Sensing Technologies. Annals of Biomedical Engineering 2026 View
  3. Nazar F, Wu Y, Aljuaid H, Jalal A, Liu H. Multimodal healthcare system for human activity recognition using multiple features and advanced ensemble classifier. DIGITAL HEALTH 2026;12 View
  4. Martín Moreno V, Pérez Rico E, Martín Fernández A, Hurtado Gallar J, Sánchez González I, Sánchez Rodríguez E, Martínez Sanz M, Fernández Gallardo M, Marcos Guerra J, Cubero Sobrados M, Flórez Busto L, García Mateos A, Alonso Serna B, Vásquez Alay A. Association between the different basic activities of daily living on the Barthel index and community living, use of mobility aids, and the survival at 5 years. Frontiers in Public Health 2026;14 View

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  1. Chandrasekaran K, Buquicchio L, Agu E, Rundensteiner E. 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). A Personalized Transformer Neural Network for Accurate Recognition of Health-Indicative Complex Activities from Smartphone Sensors View