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
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.
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