An autonomous agent for learning spatiotemporal models of human daily activities

• Main Authors: GAO, Shan, TAN, Ah-Hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Fusion ART; Activity pattern; spatiotemporal features; Artificial Intelligence and Robotics; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/5611; https://ink.library.smu.edu.sg/context/sis_research/article/6614/viewcontent/Autonomous_Agent_for_Learning_Spatiotemporal_Models_of_Human_Daily_Activities.pdf
• Institution: Singapore Management University

Activities of Daily Living (ADLs) refer to activities performed by individuals on a daily basis. As ADLs are indicatives of a person’s habits, lifestyle, and well being, learning the knowledge of people’s ADL routine has great values in the healthcare and consumer domains. In this paper, we propose...