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Wearable Tactile Sensor Brace for Motion Intent Recognition in Upper-Limb Rehabilitation

机译:可穿戴式触觉传感器支撑装置,用于上肢康复中的运动意图识别

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Motion intent recognition is an important part of autonomous rehabilitative and assistive devices. The focus of this paper is on upper limb motion intent detection for use in wearable rehabilitative devices. Our aim is to capture the tactile cues that arise during weak muscle contractions. We introduce the tactile arm brace (TAB) and analyse the various patterns recorded. Depending on the arm muscles that contract to perform a particular hand motion, different parts of the TAB will experience variations in the interaction forces. A study involving 12 healthy subjects was conducted using the TAB and a bespoke gripping device, designed and built to measure gripping forces. Tactile signatures on the brace change when the fingers extend or grip; this validates our hypothesis based on the forearm muscle physiology. Gripping models were generated to relate low-strength gripping, between 0kg and 2kg, and TAB force readings. The best recorded sensitivity (ratio between the gripper force and the FSR), found in the proximity of the posterior radial forearm, was 0.052. Using all TAB sensors, the K-fold cross validation method produced an RMSE of 5.48N.
机译:运动意图识别是自主康复和辅助设备的重要组成部分。本文的重点是用于可穿戴康复设备的上肢运动意图检测。我们的目的是捕获在肌肉收缩不足时出现的触觉提示。我们介绍了触觉臂支架(TAB)并分析了记录的各种模式。根据收缩以执行特定手势的手臂肌肉,TAB的不同部分会遇到交互作用力的变化。使用TAB和量身定制的抓握装置进行了一项涉及12名健康受试者的研究,该装置的设计和制造旨在测量抓握力。当手指伸出或紧握时,支架上的触觉特征会改变;这验证了我们基于前臂肌肉生理学的假设。生成了抓地力模型以关联0kg至2kg之间的低强度抓地力以及TAB力读数。在后radial骨前臂附近发现的最佳记录灵敏度(夹爪力和FSR之间的比率)为0.052。使用所有TAB传感器,K折交叉验证方法得出的RMSE为5.48N。

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