DocumentCode :
88774
Title :
AIWAC: affective interaction through wearable computing and cloud technology
Author :
Min Chen ; Yin Zhang ; Yong Li ; Hassan, Mohammad ; Alamri, Atif
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
22
Issue :
1
fYear :
2015
fDate :
Feb-15
Firstpage :
20
Lastpage :
27
Abstract :
To reduce the heavy burden from rapidly growing demands of healthcare service, wearable computing-assisted healthcare has been proposed for health monitoring and remote medical care. Although the provisioning of healthcare services can be significantly enhanced via wearable-enabled technologies, great challenges arise due to the lack of a human-centric mechanism for affective interaction. In this article, we propose a novel architecture, Affective Interaction through Wearable Computing and Cloud Technology (AIWAC), which includes three components: collaborative data collection via wearable devices, enhanced sentiment analysis and forecasting models, and controllable affective interactions. Based on the proposed architecture, we present our AIWAC testbed, design a practical mechanism for wearable computing-based emotional interaction, and discuss its open problems, which inspire potential research as a new direction.
Keywords :
cloud computing; groupware; health care; ubiquitous computing; wearable computers; AIWAC; affective interaction; cloud technology; collaborative data collection; emotional interaction; forecasting model; health monitoring; healthcare service; human-centric mechanism; remote medical care; sentiment analysis; wearable computing; wearable device; Biomedical monitoring; Data models; Medical services; Physiology; Psychology; Sentiment analysis; Social network services; Wearable computers;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE
Publisher :
ieee
ISSN :
1536-1284
Type :
jour
DOI :
10.1109/MWC.2015.7054715
Filename :
7054715
Link To Document :
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