عرض بسيط للتسجيلة

المؤلفRasouli, Mahdi
المؤلفChellamuthu, Karthik
المؤلفCabibihan, John-John
المؤلفKukreja, Sunil L.
تاريخ الإتاحة2021-09-01T10:02:42Z
تاريخ النشر2016
اسم المنشورProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/BIOROB.2016.7523629
معرّف المصادر الموحدhttp://hdl.handle.net/10576/22363
الملخصReliable 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.
اللغةen
الناشرIEEE Computer Society
الموضوعDecoding
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
العنوانTowards enhanced control of upper prosthetic limbs: A force-myographic approach
النوعConference Paper
الصفحات232-236
رقم المجلد2016-July
dc.accessType Abstract Only


الملفات في هذه التسجيلة

الملفاتالحجمالصيغةالعرض

لا توجد ملفات لها صلة بهذه التسجيلة.

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة