Tuesday, July 16, 2024

EIT-based tactile sensor provides new approach to fine motor skills assessment

Researchers from SIT Japan showed a peg-shaped sensor for classifying adult pinching motions. Reconstructed images reach 79.4% accuracy, while voltage vectors achieve 91.4%, hinting at automated finger motion analysis potential. a) The microcontroller and sensing device are connected by a wire. (b) Hand model pinching the sensing device with two fingers from the horizontal direction and the reconstructed image. Credit: Hiroki Sato from SIT, Japan. Fine motor skills play a crucial role in human cognition, influencing everything from daily activities to the development of advanced tool-based civilizations. Yet, quantifying and Read More

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