非特定人手语识别进展及关键问题研究思路  

Development in Signer-Independent Sign Language Recognition and the Ideas of Solving Some Key Problems

作　　者：姜峰[1] 高文[1] 王春立[2] 姚鸿勋[1] 赵德斌[1] 

机构地区：[1]哈尔滨工业大学计算机学院,黑龙江哈尔滨150001 [2]中国科学院计算技术研究所,北京100080

出　　处：《软件学报》2007年第3期477-489,共13页Journal of Software

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos.60332010;60603023(国家自然科学基金);the Program for New Century Excellent Talents in University under Grant No.NCET-05-03 34(新世纪优秀人才支持计划)

摘　　要：非特定人手语识别是推动手语系统实用化所必须解决的问题.在非特定人手语识别研究中,训练数据的缺乏和非特定人手语数据的差异性矛盾给原有研究框架的有效性带来了挑战.提出了非特定人手语识别新的研究框架,并给出了解决问题的策略与思路.这些问题的解决将对中国手语识别及其他相关领域具有非常重要的意义.Signer-Independent sign language recognition is an unavoidable problem that must be solved in order to promote the practicality of sign language systems. In the signer-independent sign language recognition research, the lack of training data and the signer-independent sign language data variation bring a challenge to the effectivity of the existent research frame. This paper proposes a new research frame for signer-independent sign language recognition, and provides the strategy and ideas to solve the problem. Finding resolution to these problems is significant not only to the research on Chinese sign language recognition but also to other related fields.

关 键 词：手语识别 非特定人 数据生成 力效分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]