ASL Fingerspelling Recognition
- 作者: Nahapetyan VE1
-
隶属关系:
- Peoples’ Friendship University of Russia
- 期: 编号 2 (2013)
- 页面: 105-113
- 栏目: Articles
- URL: https://journals.rcsi.science/2658-4670/article/view/328612
- ID: 328612
如何引用文章
全文:
详细
A method is proposed and software is developed for automatic recognition of gestures used in ASL fingerspelling. Static gestures are captured using the new generation 3D sensor Asus Xtion Pro Live. Gesture recognition is achieved by extracting and further comparing the normalized geometric skeletons of the hand. Hand skeletons are compared using Dynamic Time Warping algorithm, which has polynomial complexity.
关键词
作者简介
V Nahapetyan
Peoples’ Friendship University of Russia
Email: vahagnahapetyan@gmail.com
Information Technology Department
补充文件
