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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

User Mood Detection in a Social Network Messenger Based on Facial Cues

verfasst von : Payam Jome Yazdian, Hadi Moradi

Erschienen in: Ubiquitous Computing and Ambient Intelligence

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a mood detection approach which is crucial for human-computer and human-human interaction. In the proposed method, the facial emotional changes are observed through a camera while users use a social network messenger. The advantage of this approach, over the previously proposed approaches, is in its natural setup in which people facially express their feelings, while they read and interact in the social network. This setup eliminates the need for artificial stimulus since social networks are normally filled with different stimulus. The proposed approach is implemented on the Telegram social media messenger. The results show good performance in determining the mood of users. A very promising usage of the proposed approach is in helping human-human relation by providing the mood of one person to another person before an encounter.

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Vorheriges Kapitel Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition
Nächstes Kapitel 3D Kinect-Based Gaze Region Estimation in a Driving Simulator
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Metadaten
Titel
User Mood Detection in a Social Network Messenger Based on Facial Cues
verfasst von
Payam Jome Yazdian
Hadi Moradi
Copyright-Jahr
2017
Buch
Ubiquitous Computing and Ambient Intelligence

Print ISBN: 978-3-319-67584-8

Electronic ISBN: 978-3-319-67585-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-67585-5_75