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Article

Machine-Learning-Based Muscle Control of a 3D-Printed Bionic Arm

1
College of Engineering and Technology, American University of the Middle East, Al-Eqaila 54200, Kuwait
2
University-Paris-Est, LiSSi, (UPEC), 94400 Vitry-sur-Seine, France
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3144; https://doi.org/10.3390/s20113144
Received: 12 April 2020 / Revised: 26 May 2020 / Accepted: 28 May 2020 / Published: 2 June 2020
(This article belongs to the Special Issue Wearable Sensors for Healthcare)
In this paper, a customizable wearable 3D-printed bionic arm is designed, fabricated, and optimized for a right arm amputee. An experimental test has been conducted for the user, where control of the artificial bionic hand is accomplished successfully using surface electromyography (sEMG) signals acquired by a multi-channel wearable armband. The 3D-printed bionic arm was designed for the low cost of 295 USD, and was lightweight at 428 g. To facilitate a generic control of the bionic arm, sEMG data were collected for a set of gestures (fist, spread fingers, wave-in, wave-out) from a wide range of participants. The collected data were processed and features related to the gestures were extracted for the purpose of training a classifier. In this study, several classifiers based on neural networks, support vector machine, and decision trees were constructed, trained, and statistically compared. The support vector machine classifier was found to exhibit an 89.93% success rate. Real-time testing of the bionic arm with the optimum classifier is demonstrated. View Full-Text
Keywords: Myo armband; bionic arm; prosthetic; gesture; recognition; robotics; machine learning Myo armband; bionic arm; prosthetic; gesture; recognition; robotics; machine learning
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MDPI and ACS Style

Said, S.; Boulkaibet, I.; Sheikh, M.; Karar, A.S.; Alkork, S.; Nait-ali, A. Machine-Learning-Based Muscle Control of a 3D-Printed Bionic Arm. Sensors 2020, 20, 3144. https://doi.org/10.3390/s20113144

AMA Style

Said S, Boulkaibet I, Sheikh M, Karar AS, Alkork S, Nait-ali A. Machine-Learning-Based Muscle Control of a 3D-Printed Bionic Arm. Sensors. 2020; 20(11):3144. https://doi.org/10.3390/s20113144

Chicago/Turabian Style

Said, Sherif; Boulkaibet, Ilyes; Sheikh, Murtaza; Karar, Abdullah S.; Alkork, Samer; Nait-ali, Amine. 2020. "Machine-Learning-Based Muscle Control of a 3D-Printed Bionic Arm" Sensors 20, no. 11: 3144. https://doi.org/10.3390/s20113144

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