Optical-Tattoo Sensing for Non-Contact Control of Bionic Limbs: A Conceptual Framework

Conventional pattern recognition (PR) methods in bionic hand systems are reliant on contact-based sensors and remain vulnerable to the inherent instability of biological signals. This study presents an alternative method that uses a novel non-contact PR approach to classify the motion of individual...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Saeed Bahrami Moqadam, Ahmad Saleh Asheghabadi, Farzaneh Norouzi
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Interference pigments tattoos light-based non-contact sensors pattern recognition (PR) execution time (ET) light intensity (LI) data clustering (DC)
Online Access:	https://ieeexplore.ieee.org/document/11195833/