Projects per year
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 language | English |
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Title of host publication | Pervasive Computing - 9th International Conference, Pervasive 2011, San Francisco, USA, June 12-15, 2011. Proceedings |
Editors | K Lyons, J Hightower, E M Huang |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 294-313 |
Number of pages | 20 |
ISBN (Electronic) | 9783642217265 |
ISBN (Print) | 9783642217258 |
DOIs | |
Publication status | Published - 2011 |
Event | 9th 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
Name | Lecture Notes in Computer Science |
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Volume | 6696 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 9th International Conference on Pervasive Computing, Pervasive 2011, June 12, 2011 - June 15, 2011 |
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Country/Territory | USA United States |
City | San Francisco, CA |
Period | 1/06/11 → … |
Bibliographical note
Conference paper from the 9th International Conference on Pervasive Computing, Pervasive 2011. 12-15 June 2011. San Francisco, CA, United States.Fingerprint
Dive into the research topics of '3D Gesture recognition: an evaluation of user and system performance'. Together they form a unique fingerprint.Projects
- 1 Finished
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Mobile VCE Strategic Partnership: User Interaction
O'Neill, E. (PI) & Johnson, P. (CoI)
Engineering and Physical Sciences Research Council
1/01/09 → 31/12/12
Project: Research council