Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IUI '11 |
| Untertitel | Proceedings of the 16th international conference on Intelligent user interfaces |
| Seiten | 371-374 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 13 Feb. 2011 |
| Extern publiziert | Ja |
| Veranstaltung | 2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11 - Palo Alto, CA, USA / Vereinigte Staaten Dauer: 13 Feb. 2011 → 16 Feb. 2011 |
Abstract
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor's desirable properties, such as high recognition rate, low computational and low memory requirements, ease of implementation, ease of customization, and low number of required training samples. Protractor 3D is based on a closed-form solution to finding the optimal rotation angle between two gesture traces involving quaternions. It uses a nearest neighbor approach to classify input gestures. It is thus well-suited for application in resource-constrained mobile devices. We present the design of the algorithm and a study that evaluates its performance.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Mensch-Maschine-Interaktion
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces. 2011. S. 371-374.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Protractor3D
T2 - 2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11
AU - Kratz, Sven
AU - Rohs, Michael
N1 - Copyright: Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/2/13
Y1 - 2011/2/13
N2 - Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor's desirable properties, such as high recognition rate, low computational and low memory requirements, ease of implementation, ease of customization, and low number of required training samples. Protractor 3D is based on a closed-form solution to finding the optimal rotation angle between two gesture traces involving quaternions. It uses a nearest neighbor approach to classify input gestures. It is thus well-suited for application in resource-constrained mobile devices. We present the design of the algorithm and a study that evaluates its performance.
AB - Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor's desirable properties, such as high recognition rate, low computational and low memory requirements, ease of implementation, ease of customization, and low number of required training samples. Protractor 3D is based on a closed-form solution to finding the optimal rotation angle between two gesture traces involving quaternions. It uses a nearest neighbor approach to classify input gestures. It is thus well-suited for application in resource-constrained mobile devices. We present the design of the algorithm and a study that evaluates its performance.
KW - Gesture recognition
KW - Gesture-based interaction
KW - Nearest neighbor approach
KW - Rotation invariance
KW - Template matching
UR - http://www.scopus.com/inward/record.url?scp=79952751600&partnerID=8YFLogxK
U2 - 10.1145/1943403.1943468
DO - 10.1145/1943403.1943468
M3 - Conference contribution
AN - SCOPUS:79952751600
SN - 9781450304191
SP - 371
EP - 374
BT - IUI '11
Y2 - 13 February 2011 through 16 February 2011
ER -