• DocumentCode
    1795856
  • Title

    The design, implementation and evaluation of a relaxation service with facial emotion detection

  • Author

    Tivatansakul, Somchanok ; Ohkura, Michiko

  • Author_Institution
    Grad. Sch. of Eng., Shibaura Inst. of Technol., Tokyo, Japan
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    40
  • Lastpage
    47
  • Abstract
    Even though current research includes many proposals for systems that provide assistance and services to people in healthcare fields, such systems generally emphasize the support of 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, we proposed a healthcare system that focuses on emotional aspects by integrating emotion detection from facial expressions to recognize the current emotional states of users. When they are experiencing negative emotions, our system suggests that they take a break and provides appropriate services (including relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional state. This paper presents a prototype of a relaxation service with real-time facial emotion detection, describes its design and implementation, and experimentally evaluates user feelings while they experience our relaxation service with real-time facial emotion detection.
  • Keywords
    augmented reality; design engineering; emotion recognition; face recognition; health care; Kinect; augmented reality; emotional aspects; emotional state; facial expressions; healthcare fields; healthcare system; mental health problems; negative emotional health; physical health; real-time facial emotion detection; relaxation service; Emotion recognition; Face; Face recognition; Feature extraction; Medical services; Real-time systems; Support vector machines; E-Healthcare; Emotion Recognition; Facial Expression; Relaxation Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Healthcare and e-health (CICARE), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CICARE.2014.7007832
  • Filename
    7007832