Myoelectric grip force prediction using deep learning for hand robot

Anam K, Ardhiansyah DD, Sasono MAH, Imron AMN, Rizal NA, Ramadhan ME, Muttaqin AZ, Castellini C, Sumardi (2025)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2025

Journal

IAES International Journal of Artificial Intelligence (IJ-AI) Institute of Advanced Engineering and Science (IAES)

Book Volume: 14

Pages Range: 3228-3240

Journal Issue: 4

URI: https://ijai.iaescore.com/index.php/IJAI/article/view/25140

DOI: 10.11591/ijai.v14.i4.pp3228-3240

Open Access Link: https://ijai.iaescore.com/index.php/IJAI/article/download/25140/14661

Abstract

Artificial intelligence (AI) has been widely applied in the medical world. One such application is a hand-driven robot based on user intention prediction. The purpose of this research is to control the grip strength of a robot based on the user’s intention by predicting the grip strength of the user using deep learning and electromyographic signals. The grip strength of the target hand is obtained from a handgrip dynamometer paired with electromyographic signals as training data. We evaluated a convolutional neural network (CNN) with two different architectures. The input to CNN was the root mean square (RMS) and mean absolute value (MAV). The grip strength of the hand dynamometer was used as a reference value for a low-level controller for the robotic hand. The experimental results show that CNN succeeded in predicting hand grip strength and controlling grip strength with a root mean square error (RMSE) of 2.35 N using the RMS feature. A comparison with a state-of-the-art regression method also shows that a CNN can better predict the grip strength.

Authors with CRIS profile

Claudio Castellini Assistive Intelligent Robotics Lab

Involved external institutions

Universitas Jember ID Indonesia (ID)

How to cite

APA:

Anam, K., Ardhiansyah, D.D., Sasono, M.A.H., Imron, A.M.N., Rizal, N.A., Ramadhan, M.E.,... Sumardi, . (2025). Myoelectric grip force prediction using deep learning for hand robot. IAES International Journal of Artificial Intelligence (IJ-AI), 14(4), 3228-3240. https://doi.org/10.11591/ijai.v14.i4.pp3228-3240

MLA:

Anam, Khairul, et al. "Myoelectric grip force prediction using deep learning for hand robot." IAES International Journal of Artificial Intelligence (IJ-AI) 14.4 (2025): 3228-3240.

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