【作者单位】1 Department of Computer Science and Technology, Tongji University, Shanghai, China 2 Complex Intelligent Network Institute, Henan University, Kaifeng, Henan, China 3 Department of Mathematics, Taiyuan Normal University, Taiyuan, Shanxi, China 4 Department of Computer Science, Brunel University, Uxbridge UB8 3PH, United Kingdom
【年份】2016
【卷号】Vol.116 No.11
【页码】653-659
【ISSN】0020-0190
【关键词】Activity testing Automatic correction Hand pointing Rehabilitation Design of algorithms
【摘要】 In this paper, an activity testing model was proposed to detect and assess automatic correction of hand pointing. The average recognition rate for automatic corrections of hand pointings was 98.2% using the acceleration data. Moreover, a score was ca...
