An Autonomous Agent for Learning Spatiotemporal Models of Human Daily Activities

• Main Authors: Gao, Shan, Tan, Ah-Hwee
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: Activity pattern; spatiotemporal features; Fusion ART
• Online Access: https://hdl.handle.net/10356/81332; http://hdl.handle.net/10220/40734; http://www.ifaamas.org/proceedings.html
• Institution: Nanyang Technological 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, w...