高フレームレート超音波イメージングによる義手制御のプロトタイプシステム
A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control
超音波イメージングを用いて筋活動を認識し、4種類の手のジェスチャーを90%以上の精度で分類して仮想ロボットハンドを制御するプロトタイプシステムを開発した。
著者: Ayush Singh, Pisharody Harikrishnan Gopalkrishnan, Mahesh Raveendranatha Panicker
分類: cs.RO, cs.CV
原文アブストラクト
The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a challenge. Surface electromyography (sEMG), the most popular option, has a variety of difficult-to-fix issues (electrode displacement, sweat, fatigue). The ultrasound imaging-based methodology offers a means of recognising complex muscle activity and configuration with a greater SNR and less hardware requirements as compared to sEMG. In this study, a prototype system for high frame rate ultrasound imaging for prosthetic arm control is proposed. Using the proposed framework, a virtual robotic hand simulation is developed that can mimic a human hand as illustrated in the link [10]. The proposed classification model simulating four hand gestures has a classification accuracy of more than 90%.