Details
| Original language | English |
|---|---|
| Title of host publication | IUI '11 |
| Subtitle of host publication | Proceedings of the 16th international conference on Intelligent user interfaces |
| Pages | 371-374 |
| Number of pages | 4 |
| Publication status | Published - 13 Feb 2011 |
| Externally published | Yes |
| Event | 2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11 - Palo Alto, CA, United States Duration: 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.
Keywords
- Gesture recognition, Gesture-based interaction, Nearest neighbor approach, Rotation invariance, Template matching
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
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IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces. 2011. p. 371-374.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -