Facial expressions as feedback cue in human-robot interaction: a comparison between human and automatic recognition performances

Lang, C., Wachsmuth, S., 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.

Full content URL: http://www.scopus.com/inward/record.url?eid=2-s2.0...

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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. © 2010 IEEE.

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
ID Code:8323
Deposited On:08 Apr 2013 16:12

Repository Staff Only: item control page