Learning ADL Daily Routines with Spatiotemporal Neural Networks

• 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; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5635
• Institution: Singapore Management University

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. Consequently, learning an individual's ADL daily routines has significant value in the healthcare domain. Specifically,...