Next Generation Compact 3D-Printed Prosthetic Arm Using AI Customized Dataset
Second Author's Department
Mechanical Engineering Department
Third Author's Department
Mechanical Engineering Department
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https://doi.org/10.1007/978-981-97-9327-3_28
Document Type
Research Article
Publication Title
Lecture Notes in Networks and Systems
Publication Date
1-1-2025
doi
10.1007/978-981-97-9327-3_28
Abstract
In this research, a 3D-printed bionic arm is designed, fabricated, and optimized for a right arm amputee. Nowadays, most of the available bionic arms on the market offer a wide range of features to help the amputee with their tasks, but unfortunately the product is either expensive and/or can be limited to the users that are only medically eligible. In this paper, the designed prototype succeed in tackling these problems by enhancing the control of the bionic arm through a designed mobile application which makes life easier. The user can control the artificial bionic arm through surface electromyography (EMG) signals acquired by multiple sensors placed on the residue muscles and through mobile application via Bluetooth. A number of experimental tests were undergone for the user and have shown high successful rates reaching 85–97%. The use of the 3D-printing technology offers attractive features such as being lightweight and a relatively low-cost product when compared to the market and enables each user to choose the outer casing design of the arm freely. The arm is designed to be compact, in accordance with the average male measurement. The mechanical design of the joints allows the arm 15–17 degrees of freedom, which enables the performance of at least 16 hand/arm gestures efficiently and is designed to save power and function up to 12 h continuously using only one battery. The arm is also designed to provide extra features by sending warnings and notifications to the mobile application whenever the hand touches hot objects, holds a heavy object, or any other errors.
First Page
335
Last Page
346
Recommended Citation
APA Citation
Ali, M.
Abed, M.
ElSemary, R.
Hossam, A.
...
(2025). Next Generation Compact 3D-Printed Prosthetic Arm Using AI Customized Dataset. Lecture Notes in Networks and Systems, 1179 LNNS, 335–346.
https://doi.org/10.1007/978-981-97-9327-3_28
MLA Citation
Ali, Mayar M., et al.
"Next Generation Compact 3D-Printed Prosthetic Arm Using AI Customized Dataset." Lecture Notes in Networks and Systems, vol. 1179 LNNS, 2025, pp. 335–346.
https://doi.org/10.1007/978-981-97-9327-3_28