Learning ADL daily routines with spatiotemporal neural networks

Learning ADL daily routines with spatiotemporal neural networks

The activities of daily living (ADLs) refer to the activities performed by individuals on a daily basis and are the indicators of a person’s habits, lifestyle, and wellbeing. Learning an individual’s ADL daily routines has significant value in the healthcare domain. Specifically, ADL recognition and...

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Bibliographic Details
Main Authors: GAO, Shan, TAN, Ah-hwee, SETCHI, Rossi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
ADL sequence
fusion ART
activity pattern
spatiotemporal features
Databases and Information Systems
Digital Communications and Networking
Online Access:https://ink.library.smu.edu.sg/sis_research/5177
https://ink.library.smu.edu.sg/context/sis_research/article/6180/viewcontent/NimbusRomNo9L_Regu.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/5177
https://ink.library.smu.edu.sg/context/sis_research/article/6180/viewcontent/NimbusRomNo9L_Regu.pdf

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