Active Prosthesis of Human Hand
| Autor: | Muhammad Ehsan Ul Haq Zaheer, Ahmad Huzaifa, Usama Azhar, Mian Muhammad Sharjeel Safdar, Arshad Ali, Tanveer Abbas |
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| Rok vydání: | 2020 |
| Předmět: |
Focus (computing)
medicine.medical_specialty medicine.diagnostic_test Computer science medicine.medical_treatment Active systems Electromyography Prosthesis Signal body regions Finger movement medicine.anatomical_structure Physical medicine and rehabilitation Forearm medicine Single degree of freedom |
| Zdroj: | 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS). |
| Popis: | This paper presents an EMG based active system for a prosthetic hand. The dominant muscles for each finger movements are identified by the anatomical study of the arm. EMG signals are recorded on these muscles and analyzed. Threshold-based detection is used for the classification of different finger movements. The recovered signals are used as a control for the prosthetic hand. The focus of the study is the control of a prosthetic hand with five fingers each with a single degree of freedom by using separate EMG signal for each finger obtained from a unique location of the forearm so as to bypass extensive classification techniques and achieve accuracy. |
| Databáze: | OpenAIRE |
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