Paper Info
Title
Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction.
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.
Year
DOI
Venue
2017
10.1145/3056540.3076199
PETRA
Keywords
Field
DocType
Emotion Recognition, Affective Facial Expressions, Human-Robot Interaction
Facial Action Coding System,Computer science,Cognitive psychology,Human–computer interaction,Emotional expression,Artificial intelligence,Human–robot interaction,Computer vision,Facial expression,Simple Features,Probabilistic classification,Affect (psychology),Cross-validation
Conference
Citations 
PageRank 
References 
2
0.47
8
Authors
3
Name
Order
Citations
PageRank
Diego R. Faria19514.96
Mario Vieira220.47
Fernanda da C. e C. Faria331.54