Presentation | 2014-05-29 Healthcare System Focusing on Emotional Aspect using Augmented Reality : Emotion Detection by Facial Expression Somchanok TIVATANSAKUL, Gantaphon CHALUMPORN, Supadchaya PUANGPONTIP, Yada KANKANOKKUL, Tiranee ACHALAKUL, Michiko OHKURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Current research includes many proposals of systems that provide assistances and services to people in the healthcare fields; however, these systems emphasize the support physical rather than emotional aspects. Emotional health is as important as physical health. Negative emotional health can lead to social or mental health problems. To cope with negative emotional health in daily life, we propose a healthcare system that focuses on emotional aspects. This system provides services to improve user emotion. To improve user emotion, we need to recognize users' current emotional state. Therefore, our system integrates emotion detection to suggest the appropriate service. This system is designed as a web-based system. While users use the system, facial expression and speech are detected and analyzed and to determine the users' emotions. When negative emotions are detected, our system suggests that the users take a break by providing services (designed to provide relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional state. This paper focuses on feature extraction and classification of emotion detection by facial expression recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | E-Healthcare / Emotion Recognition / Facial Expression |
Paper # | HCS2014-21,HIP2014-21 |
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Committee | HCS |
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Conference Date | 2014/5/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Communication Science (HCS) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Healthcare System Focusing on Emotional Aspect using Augmented Reality : Emotion Detection by Facial Expression |
Sub Title (in English) | |
Keyword(1) | E-Healthcare |
Keyword(2) | Emotion Recognition |
Keyword(3) | Facial Expression |
1st Author's Name | Somchanok TIVATANSAKUL |
1st Author's Affiliation | Graduate School of Engineering, Shibaura Institute of Technology() |
2nd Author's Name | Gantaphon CHALUMPORN |
2nd Author's Affiliation | Department of Computer Engineering, King Mongkut's University of Technology Thonburi |
3rd Author's Name | Supadchaya PUANGPONTIP |
3rd Author's Affiliation | Department of Computer Engineering, King Mongkut's University of Technology Thonburi |
4th Author's Name | Yada KANKANOKKUL |
4th Author's Affiliation | Department of Computer Engineering, King Mongkut's University of Technology Thonburi |
5th Author's Name | Tiranee ACHALAKUL |
5th Author's Affiliation | Department of Computer Engineering, King Mongkut's University of Technology Thonburi |
6th Author's Name | Michiko OHKURA |
6th Author's Affiliation | College of Engineering, Shibaura Institute of Technology |
Date | 2014-05-29 |
Paper # | HCS2014-21,HIP2014-21 |
Volume (vol) | vol.114 |
Number (no) | 67 |
Page | pp.pp.- |
#Pages | 6 |
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