3D Gesture recognition: an evaluation of user and system performance

Michael Wright, Chun-Jung Lin, Eamonn O'Neill, Darren Cosker, Peter Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)
139 Downloads (Pure)

Abstract

We report a series of empirical studies investigating gesture as an interaction technique in pervasive computing. In our first study, participants generated gestures for given tasks and from these we identified archetypal common gestures. Furthermore, we discovered that many of these user-generated gestures were performed in 3D. We implemented a computer vision based 3D gesture recognition system and applied it in a further study in which participants used the common gestures generated in the first study. We investigated the trade off between system performance and human performance and preferences, deriving design recommendations. We achieved 84% recognition accuracy by our prototype 3D gesture recognition system after tuning it through the use of simple heuristics. The most popular gestures from Study 1 were regarded by participants in Study 2 as best matching the task they represented, and they produced the fewest recall errors.
Original languageEnglish
Title of host publicationPervasive Computing - 9th International Conference, Pervasive 2011, San Francisco, USA, June 12-15, 2011. Proceedings
EditorsK Lyons, J Hightower, E M Huang
Place of PublicationBerlin
PublisherSpringer
Pages294-313
Number of pages20
ISBN (Electronic)9783642217265
ISBN (Print)9783642217258
DOIs
Publication statusPublished - 2011
Event9th International Conference on Pervasive Computing, Pervasive 2011, June 12, 2011 - June 15, 2011 - San Francisco, CA, USA United States
Duration: 1 Jun 2011 → …

Publication series

NameLecture Notes in Computer Science
Volume6696
ISSN (Print)0302-9743

Conference

Conference9th International Conference on Pervasive Computing, Pervasive 2011, June 12, 2011 - June 15, 2011
CountryUSA United States
CitySan Francisco, CA
Period1/06/11 → …

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  • Cite this

    Wright, M., Lin, C-J., O'Neill, E., Cosker, D., & Johnson, P. (2011). 3D Gesture recognition: an evaluation of user and system performance. In K. Lyons, J. Hightower, & E. M. Huang (Eds.), Pervasive Computing - 9th International Conference, Pervasive 2011, San Francisco, USA, June 12-15, 2011. Proceedings (pp. 294-313). (Lecture Notes in Computer Science; Vol. 6696). Springer. https://doi.org/10.1007/978-3-642-21726-5_19