Assistive Multimodal Wearable for Open Air Digit Recognition Using Machine Learning
To increase access to digital systems for populations suffering from upper limb motor impairment we present an assistive wearable device to capture gestures performed in air. These open air gestures provide an interface for users who are unable to exhibit the fine motor control needed for standardiz...
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Published in | International IEEE/EMBS Conference on Neural Engineering (Online) pp. 1 - 4 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
24.04.2023
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Subjects | |
Online Access | Get full text |
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