Study of Applying Eigenhands and Neural Network Classifiers to Gesture Recognition
碩士 === 國立中山大學 === 海下技術研究所 === 87 === Input devices play a key role in man-machine interfaces. It usually takes the operators some practice to get used to the input devices before they can command the system at wills. For more complex systems, e.g. an airplane, this training period can be significant...
Main Authors: | Wang, Tian-Peir, 王天培 |
---|---|
Other Authors: | Wang, Chau-Chang |
Format: | Others |
Language: | zh-TW |
Published: |
1999
|
Online Access: | http://ndltd.ncl.edu.tw/handle/93992799144842651630 |
Similar Items
-
Static Gesture Recognition by Using Neural Classifier and Polygon Approximation Technique
by: Lee, Wen-Hour, et al.
Published: (1996) -
An Application of Classifier Combination Methods in Hand Gesture Recognition
by: Guan-Wei Wang, et al.
Published: (2012-01-01) -
Recognition of Gestures using Artifical Neural Network
by: Marcel MORE, et al.
Published: (2013-12-01) -
sEMG-Based Gesture Recognition with Convolution Neural Networks
by: Zhen Ding, et al.
Published: (2018-06-01) -
Hand Gesture Recognition Based on Deep Neural Network
by: Wei-Feng Tsai, et al.
Published: (2018)