Emotional healthcare system: Emotion detection by facial expressions using Japanese database

Somchanok Tivatansakul, Michiko Ohkura, Supadchaya Puangpontip, Tiranee Achalakul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

Good emotional health is one important point to improve quality of life. On the other hand, bad emotional health can lead to social or mental health problems. To cope with the bad emotional health caused by negative emotions in daily life, we design a healthcare system that focuses on emotional aspects and provides services to improve user emotions. To improve them, we need to recognize their current emotional states. Therefore, our system integrates emotion detection to suggest appropriate services and is designed as a web-based system. While users use the system, facial expressions and speech are detected and analyzed to determine their emotions. When negative emotions are detected, our system suggests that users take a break and provides appropriate services (including relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional states. This paper focuses on feature extraction and the classification of emotion detection by facial expressions.

Original languageEnglish
Title of host publication2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-46
Number of pages6
ISBN (Electronic)9781479966912
DOIs
Publication statusPublished - 2014 Nov 14
Event2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014 - Colchester, United Kingdom
Duration: 2014 Sep 252014 Sep 26

Publication series

Name2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014 - Conference Proceedings

Conference

Conference2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014
CountryUnited Kingdom
CityColchester
Period14/9/2514/9/26

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Keywords

  • E-Healthcare
  • Emotion Recognition
  • Facial Expressions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

Tivatansakul, S., Ohkura, M., Puangpontip, S., & Achalakul, T. (2014). Emotional healthcare system: Emotion detection by facial expressions using Japanese database. In 2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014 - Conference Proceedings (pp. 41-46). [6958552] (2014 6th Computer Science and Electronic Engineering Conference, CEEC 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEEC.2014.6958552