Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IUI '10 |
| Untertitel | Proceedings of the 15th international conference on Intelligent user interfaces |
| Seiten | 341-344 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 7 Feb. 2010 |
| Extern publiziert | Ja |
| Veranstaltung | 14th ACM International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China Dauer: 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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Mensch-Maschine-Interaktion
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- BibTex
- RIS
IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces. 2010. S. 341-344.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 -