eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

Emotion Recognition in the Wild: Results and Limitations from Active and Healthy Ageing Cases in a Living Lab

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  • @INPROCEEDINGS{10.1007/978-3-319-49655-9_51,
        author={Evdokimos Konstantinidis and Antonis Billis and Theodore Savvidis and Stefanos Xefteris and Panagiotis Bamidis},
        title={Emotion Recognition in the Wild: Results and Limitations from Active and Healthy Ageing Cases in a Living Lab},
        proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
        proceedings_a={EHEALTH360},
        year={2017},
        month={1},
        keywords={Emotion Living lab AAL Elderly IoT},
        doi={10.1007/978-3-319-49655-9_51}
    }
    
  • Evdokimos Konstantinidis
    Antonis Billis
    Theodore Savvidis
    Stefanos Xefteris
    Panagiotis Bamidis
    Year: 2017
    Emotion Recognition in the Wild: Results and Limitations from Active and Healthy Ageing Cases in a Living Lab
    EHEALTH360
    Springer
    DOI: 10.1007/978-3-319-49655-9_51
Evdokimos Konstantinidis1,*, Antonis Billis1,*, Theodore Savvidis1,*, Stefanos Xefteris1,*, Panagiotis Bamidis1,*
  • 1: Aristotle University of Thessaloniki
*Contact email: evdokimosk@gmail.com, ampillis@med.auth.gr, teosavv@yahoo.gr, sxefteris@auth.gr, bamidis@med.auth.gr

Abstract

The work presented in this paper relies on the recognition of emotions during pilot trials with elderly people in an ecologically valid living lab. The emotion recognition is processed by cloud based service and the photos for processing are captured from Kinect based on the skeleton presence and information. The Kinect publishes its information to a channel where the clients subscribe efficiently either to the skeleton or the RGM images channel.