Sit-to-Stand Intention Estimation Method Using the Angle of Forward Trunk Inclination and Leg Electromyograms

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• 作者：Yusuke Kato^* ; ^{kato.yusuke001@jp.panasonic.com" class="auth_mail" title="E-mail the corresponding author} ; Tsuyoshi Inoue^* ; ^{inoue.tsuyoshi001@jp.panasonic.com" class="auth_mail" title="E-mail the corresponding author} ; Hiroyuki Motoyama^* ; ^{motoyama.hiroyuki@jp.panasonic.com" class="auth_mail" title="E-mail the corresponding author} ; Jun Ozawa^* ; ^{ozawa.jun@jp.panasonic.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Sit-to-stand Assistive Technology ; Human Machine Systems ; EMG ; AFI
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：19
• 页码：261-265
• 全文大小：1162 K

文摘

In this study, we propose a sit-to-stand intention estimation method and verify its effectiveness. The proposed method uses the trunk forward inclination in sit-to-stand movements and the order of the associated activity of the lower limb muscles to estimate the sit-to-stand intention without learning data or recalibrating. The evaluation results of the proposed method on three subjects, who performed the sitto-stand movements, including three types of noisy movements, shows that the movement is predicted 211 ms before it commences with a 98.3% accuracy.