An autonomous agent for learning spatiotemporal models of human daily activities

An autonomous agent for learning spatiotemporal models of human daily activities

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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