A novel method to infer the finger flexing motions of various arm postures is proposed.From the gyroscope signal,the authors recognized forearm posture using K-means clustering method.Then finger motion inferred.For finger motion inference,Gaussian model of information entropy and maximum likelihood method was utilized.Experimentally it is obtained that the average recognition rate with the forearm posture inference is much higher than those without the inference by 30.7%.
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机译：The Disciplinary Precepts in the Tiantai pusajie shu 天台菩萨戒疏 by Mingkuang 明旷: Beginning from the Discussion on the Recognition of the Ten Types of Precepts from the Da zhidu lun 大智度论
