Towards enhanced control of upper prosthetic limbs: A force-myographic approach
المؤلف | Rasouli, Mahdi |
المؤلف | Chellamuthu, Karthik |
المؤلف | Cabibihan, John-John |
المؤلف | Kukreja, Sunil L. |
تاريخ الإتاحة | 2021-09-01T10:02:42Z |
تاريخ النشر | 2016 |
اسم المنشور | Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics |
المصدر | Scopus |
الملخص | Reliable decoding of a user's intention is a key step to control prosthetic devices. Force myography (FMG) is often used to assess topographic force patterns resulting from volumetric changes of activated muscles. However, during limb position changes this approach may give deteriorating performance over time. To address this limitation, we developed a position-Aware platform that integrates an inertial measurement unit (IMU) and a force sensing array (FSA) with an advanced signal processing module. The module analyzes data using an artificial neural network (ANN) to predict an intended hand movement. Our results demonstrate that by utilizing multi-sensory information this decoding strategy provides a 90% accuracy. 2016 IEEE. |
اللغة | en |
الناشر | IEEE Computer Society |
الموضوع | Decoding Neural networks Prosthetics Robotics Signal processing Units of measurement Activated muscles Advanced signal processing Decoding strategy Inertial measurement unit Prosthetic devices Upper prosthetic limbs User's intentions Volumetric changes Artificial limbs |
النوع | Conference Paper |
الصفحات | 232-236 |
رقم المجلد | 2016-July |
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