Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89686
Title: Towards intelligent caring agents for Aging-In-Place : issues and challenges
Authors: Kang, Yilin
Wang, Di
Subagdja, Budhitama
Tan, Ah-Hwee
Zhang, Daqing
Keywords: DRNTU::Engineering::Computer science and engineering
Intelligent Agents
Issues And Challenges
Issue Date: 2014
Source: Wang, D., Subagdja, B., Kang, Y., Tan, A.-H., & Zhang, D. (2014). Towards intelligent caring agents for Aging-In-Place : issues and challenges. 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI). doi:10.1109/CIHLI.2014.7013393
Abstract: The aging of the world's population presents vast societal and individual challenges. The relatively shrinking workforce to support the growing population of the elderly leads to a rapidly increasing amount of technological innovations in the field of elderly care. In this paper, we present an integrated framework consisting of various intelligent agents with their own expertise and responsibilities working in a holistic manner to assist, care, and accompany the elderly around the clock in the home environment. To support the independence of the elderly for Aging-In-Place (AIP), the intelligent agents must well understand the elderly, be fully aware of the home environment, possess high-level reasoning and learning capabilities, and provide appropriate tender care in the physical, cognitive, emotional, and social aspects. The intelligent agents sense in non-intrusive ways from different sources and provide wellness monitoring, recommendations, and services across diverse platforms and locations. They collaborate together and interact with the elderly in a natural and holistic manner to provide all-around tender care reactively and proactively. We present our implementation of the collaboration framework with a number of realized functionalities of the intelligent agents, highlighting its feasibility and importance in addressing various challenges in AIP.
URI: https://hdl.handle.net/10356/89686
http://hdl.handle.net/10220/47038
DOI: 10.1109/CIHLI.2014.7013393
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/CIHLI.2014.7013393].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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