Original paper
Subject-independent hand gesture recognition using normalization and machine learning algorithms
Abstract
Hand gestures can be recognized using the upper limb’s electromyography (EMG) that measures the electrical activity of the skeletal muscles. However, generalization of muscle activities for a particular hand gesture is challenging due to between-subject variations in EMG signals. To improve the gesture recognition accuracy without training the machine learning algorithm subject specifically, the time-domain EMG features are normalized to the...
Paper Details
Title
Subject-independent hand gesture recognition using normalization and machine learning algorithms
Published Date
Jul 1, 2018
Volume
27
Pages
69 - 76
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