Activity testing model for automatic correction of hand pointing

作者：Song, Yalin; Sun, Yaoru^*; Zhang, Hong; Wang, Fang

来源：Information Processing Letters, 2016, 116(11): 653-659.

DOI：10.1016/j.ipl.2016.06.008

• Activity testing
• Automatic correction
• Hand pointing
• Rehabilitation
• Design of algorithms

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 calculated using the activity data of successful recognition and it provided sufficient estimation for the performance level of automatic correction. Experimental results showed that our model was effective and it could be applied to neurorehabilitation.

• 单位
  同济大学; 太原师范学院; 河南大学