Towards the development of affective facial expression recognition for human-robot interaction

Faria, Diego Resende; Vieira, Mario and Faria, Fernanda C.C. Towards the development of affective facial expression recognition for human-robot interaction. IN: ACM PETRA'17: 10th International Conference on PErvasive Technologies Related to Assistive Environments (NOTION: Human Behaviour Monitoring, Interpretation and Understanding). New York, NY (US): ACM.

Abstract

Affective facial expression is a key feature of non-verbal behavior and is considered as a symptom of an internal emotional state. Emotion recognition plays an important role in social communication: human-human and also for human-robot interaction. This work aims at the development of a framework able to recognise human emotions through facial expression for human-robot interaction. Simple features based on facial landmarks distances and angles are extracted to feed a dynamic probabilistic classification framework. The public online dataset Karolinska Directed Emotional Faces (KDEF) [12] is used to learn seven different emotions (e.g. Angry, fearful, disgusted, happy, sad, surprised, and neutral) performed by seventy subjects. Offline and on-the-fly tests were carried out: leave-one-out cross validation tests using the dataset and on-the-fly tests during human-robot interactions. Preliminary results show that the proposed framework can correctly recognise human facial expressions with potential to be used in human-robot interaction scenarios.

Publication DOI: https://doi.org/10.1145/3056540.3076199
Divisions: Engineering & Applied Sciences
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Additional Information: -
Event Title: 10th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017
Event Type: Other
Event Dates: 2017-06-21 - 2017-06-23
Uncontrolled Keywords: affective facial expressions,emotion recognition,human-robot interaction,Human-Computer Interaction,Computer Networks and Communications,Computer Vision and Pattern Recognition,Software

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