fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees

fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees

Prosthetic arms are designed to assist amputated individuals in the performance of the activities of daily life. Brain machine interfaces are currently employed to enhance the accuracy as well as number of control commands for upper limb prostheses. However, the motion prediction for prosthetic arms...

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Bibliographic Details
Main Authors: Neelum Yousaf Sattar, Zareena Kausar, Syed Ali Usama, Umer Farooq, Muhammad Faizan Shah, Shaheer Muhammad, Razaullah Khan, Mohamed Badran
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
artificial neural network (ANN)
functional near-infrared spectroscopy (fNIRS)
machine learning
upper-limb prosthesis
transhumeral amputee
Online Access:https://www.mdpi.com/1424-8220/22/3/726

Internet

https://www.mdpi.com/1424-8220/22/3/726

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