Lang, C. and Wachsmuth, S. and Wersing, H. and Hanheide, Marc (2010) Facial expressions as feedback cue in human-robot interaction: a comparison between human and automatic recognition performances. In: Conference of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010, 13-18 June 2010, San Francisco, CA.
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Facial expressions are one important nonverbal communication cue, as they can provide feedback in conversations between people and also in human-robot interaction. This paper presents an evaluation of three standard pattern recognition techniques (active appearance models, gabor energy filters, and raw images) for facial feedback interpretation in terms of valence (success and failure) and compares the results to the human performance. The used database contains videos of people interacting with a robot by teaching the names of several objects to it. After teaching, the robot should term the objects correctly. The subjects reacted to its answer while showing spontaneous facial expressions, which were classified in this work. One main result is that an automatic classification of facial expressions in terms of valence using simple standard pattern recognition techniques is possible with an accuracy comparable to the average human classification rate, but with a high variance between different subjects, likewise to the human performance. Â© 2010 IEEE.
|Item Type:||Conference or Workshop contribution (Paper)|
|Additional Information:||Conference Code: 81678|
|Keywords:||Active appearance models, Automatic classification, Automatic recognition, Classification rates, Facial Expressions, Gabor energy, Human -robot interactions, Human performance, Non-verbal communications, Raw images, Standard pattern, Communication, Computer vision, Human computer interaction, Man machine systems, Technical presentations, Human robot interaction|
|Subjects:||G Mathematical and Computer Sciences > G400 Computer Science|
G Mathematical and Computer Sciences > G410 Computer Architectures & Operating Systems
G Mathematical and Computer Sciences > G740 Computer Vision
|Divisions:||College of Science > School of Computer Science|
|Deposited By:||Marc Hanheide|
|Deposited On:||08 Apr 2013 16:12|
|Last Modified:||08 Apr 2013 16:12|
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