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3D hand gesture recognition from one example

Title
3D hand gesture recognition from one example
Authors
Sohn, Myoung-KyuLee, Sang-HeonKim, Dong-JuKim, ByungminKim, Hyunduk
DGIST Authors
Sohn, Myoung-Kyu; Lee, Sang-Heon; Kim, Dong-Ju; Kim, Byungmin; Kim, Hyunduk
Issue Date
2013
Citation
2013 IEEE International Conference on Consumer Electronics, ICCE 2013, 171-172
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
ISSN
0747-668X
Abstract
In a typical recognition system, the inclusion of more training data is likely to increase the recognition rate. However, it is not easy to obtain large training sets. Focusing on practical applicability such as controlling home appliances, we propose a hand gesture recognition method from one example that is computationally efficient and can be easily implemented. 3D hand motion trajectory is achieved from a depth camera and then normalized for translation invariant feature extraction. Based on the simple K-NN classifier, we develop a pattern matching method by combining the DTW (Dynamic Time Warping) algorithm and a statistical measure for similarity between two random vectors. We conducted computational experiments on hand gesture data and compared the results with those derived via conventional DTW recognition. © 2013 IEEE.
URI
http://hdl.handle.net/20.500.11750/3803
DOI
10.1109/ICCE.2013.6486844
Publisher
Wiley-VCH Verlag
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers
Convergence Research Center for Future Automotive Technology2. Conference Papers


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