Details
| Original language | English |
|---|---|
| Title of host publication | IUI '10 |
| Subtitle of host publication | Proceedings of the 15th international conference on Intelligent user interfaces |
| Pages | 341-344 |
| Number of pages | 4 |
| Publication status | Published - 7 Feb 2010 |
| Externally published | Yes |
| Event | 14th ACM International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China Duration: 7 Feb 2010 → 10 Feb 2010 |
Abstract
We present the $3 Gesture Recognizer, a simple but robust gesture recognition system for input devices featuring 3D acceleration sensors. The algorithm is designed to be implemented quickly in prototyping environments, is intended to be device-independent and does not require any special toolkits or frameworks. It relies solely on simple trigonometric and geometric calculations. A user evaluation of our system resulted in a correct gesture recognition rate of 80%, when using a set of 10 unique gestures for classification. Our method requires significantly less training data than other gesture recognizers and is thus suited to be deployed and to deliver results rapidly.
Keywords
- 3D gestures, Classifier, Gesture recognition, Rapid prototyping, Recognition rates, User interfaces
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
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IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces. 2010. p. 341-344.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A $3 Gesture Recognizer
T2 - 14th ACM International Conference on Intelligent User Interfaces, IUI 2010
AU - Kratz, Sven
AU - Rohs, Michael
N1 - Copyright: Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/2/7
Y1 - 2010/2/7
N2 - We present the $3 Gesture Recognizer, a simple but robust gesture recognition system for input devices featuring 3D acceleration sensors. The algorithm is designed to be implemented quickly in prototyping environments, is intended to be device-independent and does not require any special toolkits or frameworks. It relies solely on simple trigonometric and geometric calculations. A user evaluation of our system resulted in a correct gesture recognition rate of 80%, when using a set of 10 unique gestures for classification. Our method requires significantly less training data than other gesture recognizers and is thus suited to be deployed and to deliver results rapidly.
AB - We present the $3 Gesture Recognizer, a simple but robust gesture recognition system for input devices featuring 3D acceleration sensors. The algorithm is designed to be implemented quickly in prototyping environments, is intended to be device-independent and does not require any special toolkits or frameworks. It relies solely on simple trigonometric and geometric calculations. A user evaluation of our system resulted in a correct gesture recognition rate of 80%, when using a set of 10 unique gestures for classification. Our method requires significantly less training data than other gesture recognizers and is thus suited to be deployed and to deliver results rapidly.
KW - 3D gestures
KW - Classifier
KW - Gesture recognition
KW - Rapid prototyping
KW - Recognition rates
KW - User interfaces
UR - http://www.scopus.com/inward/record.url?scp=77951101947&partnerID=8YFLogxK
U2 - 10.1145/1719970.1720026
DO - 10.1145/1719970.1720026
M3 - Conference contribution
AN - SCOPUS:77951101947
SN - 9781605585154
SP - 341
EP - 344
BT - IUI '10
Y2 - 7 February 2010 through 10 February 2010
ER -