中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-time grasp type recognition using leap motion controller

文献类型:会议论文

作者Zou YY(邹媛媛)2,3; Liu, Honghai1; Zhang JL(张吉龙)4
出版日期2019
会议日期August 8-11, 2019
会议地点Shenyang, China
关键词Grasp type recognition Feature representation SVM Leap motion controller
页码472-480
英文摘要The recognition of grasp type is essential for a more detailed analysis of human action. In this paper, we propose a novel method for real-time grasp type recognition using Leap motion controller (LMC). Our proposal is based on the tracking data provided by the LMC sensor and a series of feature descriptors are introduced and extracted from LMC data. Combining the feature descriptors of relative positions of thumb, finger joint angles and finger directions lead to the best representation of the arrangement of the fingers. And then the grasp type classification can be achieved by using a SVM classifier. An experimental study of our approach is addressed and we show that recognition rate could be improved. The current implementation is also can satisfy the real-time requirements.
产权排序3
会议录Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
会议录出版者Springer Verlag
会议录出版地Berlin
语种英语
ISSN号0302-9743
ISBN号978-3-030-27534-1
WOS记录号WOS:000569253000042
源URL[http://ir.sia.cn/handle/173321/25495]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Zou YY(邹媛媛)
作者单位1.School of Computing, University of Portsmouth, Portsmouth PO1 3HE, United Kingdom
2.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China
3.National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang 110168, China
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Zou YY,Liu, Honghai,Zhang JL. Real-time grasp type recognition using leap motion controller[C]. 见:. Shenyang, China. August 8-11, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

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