Recognition of emotions in gait patterns by means of artificial neural nets

Janssen, Daniel, Schöllhorn, Wolfgang I., Lubienetzki, Jessica, Fölling, Karina, Kokenge, Henrike, & Davids, Keith W. (2008) Recognition of emotions in gait patterns by means of artificial neural nets. Journal of Nonverbal Behavior, 32(2), pp. 79-92.

View at publisher


This paper describes an application of emotion recognition in human gait by means of kinetic and kinematic data using artificial neural nets. Two experiments were undertaken, one attempting to identify participants’ emotional states from gait patterns, and the second analyzing effects on gait patterns of listening to music while walking. In the first experiment gait was analyzed as participants attempted to simulate four distinct emotional states (normal, happy, sad, angry). In the second experiment, participants were asked to listen to different types of music (excitatory, calming, no music) before and during gait analysis. Derived data were fed into different types of artificial neural nets. Results showed not only a clear distinction between individuals, but also revealed clear indications of emotion recognition in nets.

Impact and interest:

29 citations in Scopus
Search Google Scholar™
27 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 18098
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Emotion, Gait, Music, Neural network, Pattern recognition
DOI: 10.1007/s10919-007-0045-3
ISSN: 0191-5886
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > HUMAN MOVEMENT AND SPORTS SCIENCE (110600) > Motor Control (110603)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Exercise & Nutrition Sciences
Deposited On: 26 Apr 2009 22:14
Last Modified: 29 Feb 2012 13:43

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page