Subject-independent hand gesture recognition using normalization and machine learning algorithms

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...