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- W2472914663 abstract "Abstract 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." @default.
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- W2472914663 date "2016-11-01" @default.
- W2472914663 modified "2023-09-24" @default.
- W2472914663 title "Activity testing model for automatic correction of hand pointing" @default.
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- W2472914663 doi "https://doi.org/10.1016/j.ipl.2016.06.008" @default.
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