4.7 Article

Feature recognition in multiple CNNs using sEMG images from a prototype comfort test

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Article Computer Science, Interdisciplinary Applications

A hybrid approach to product prototype usability testing based on surface EMG images and convolutional neural network classification

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Summary: This study aimed to investigate the factors that affect resting comfort in a supine position and used a hybrid approach combining subjective questionnaires, surface EMG measurements, and deep learning algorithms to test the usability of a new product prototype. The results showed that the left and right sides of the neck had the highest impact on comfort, and the experimental group showed lower fatigue in the sternocleidomastoid compared to the control group.

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