Improved Prosthetic Hand Control with Synchronous Use of Voice Recognition and Inertial Measurements

Prosthetic Hand Control

This paper presents a five-fingered underactuated prosthetic hand controlled by surface electromyographic (EMG) signals. The prosthetic hand control part is based on an EMG motion pattern classifier which combines variable learning rate (VLR) based neural network with parametric Autoregressive (AR) model and wavelet transform. This motion pattern classifier can successfully identify flexion and...

the relationship between locus of control, efl reading and writing achievement, and use of language learning strategies

تاثیر منبع کنترل رفتار بر روی موفقیت تحصیلی زبان آموزان انگلیسی بندرت در ایران ارزیابی شده است. هدف این تحقیق ارزیابی رابطه بین منبع کنترل رفتار زبان آموزان انگلیسی و موفقیت آنها در مهارت های خواندن و نوشتن زبان انگلیسی است. محقق همچنین رابطه بین منبع کنترل رفتار و راهبردهای یادگیری زبان انگلیسی را در این تحقیق جستجو می کند. بدین منظور محقق ابتدا نسخه فارسی پرسشنامه منبع کنترل رفتار (duttweiler...

Design and implementation of a voice-controlled prosthetic hand

Current hand prostheses are mostly driven by electromyography (EMG) signal, and existing experiments have proved that multichannel EMG signal controls are not suitable due to early fatigue problems and high effort requirements to perform even simple activities. Therefore, in this study we present a new voicecontrolled active hand prosthesis to perform several basic tasks. We first designed a no...

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Control of a Multi-finger Prosthetic Hand

Our novel prosthetic hand is controlled by extrinsic flexor muscles and tendons of the metacarpal-phalangeal joints. The hand uses tendon-activated pneumatic (TAP) control and has provided most subjects, including amputees and those with congenital limb absence, control of multiple fingers of the hand. The TAP hand restores a degree of natural control over force, duration, and coordination of m...