Method for predicting continuous complex motion intention of human body based on electromyographic signal on surface layer

Abstract

The invention provides a method for predicting continuous complex motion intention of the human body based on an electromyographic signal on a surface layer. By collecting the electromyographic signalon the surface layer of the upper limb of the human body, signal processing such as noise removal is carried out, the features of the electromyographic signal on the surface layer are extracted, theelectromyographic signal on the surface layer can be utilized to accurately predict three-dimensional coordinates of the upper limbs of the human body, the obtained three-dimensional position coordinates are transmitted to a robot control system, a robot performs action and feeds back to the upper limbs of the human body to achieve man-machine collaborative operation, and the problem that the simple gesture classification of the electromyographic signal on the surface layer is not suitable for continuous complex motion of the robot.

Description

Technical field [0001] The present invention relates to the technical field of human-computer interaction, and more specifically to a method for predicting the intention of continuous complex motion of the human body based on surface electromyographic signals. Background technique [0002] For patients with muscle fatigue, myasthenia gravis, muscle rigidity and muscle atrophy, the loss of mobility has become a problem for these patients. Surface EMG signal is a non-invasive measurement method of EMG information, and its application can effectively increase the patient's range of movement and self-care ability. EMG signals can establish a direct information communication channel between human limbs and external devices (such as computers, smart wheelchairs, smart vehicles and robots), and can directly transmit the intention of human limbs to external control through surface EMG signals unit. Electromyographic signals have been widely used in clinical medicine, rehabilitation med...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a method for predicting the human body's continuous and complex movement intention based on surface electromyography signals, which can predict the movement intention of the human forearm by measuring and processing the surface electromyography signals generated by the forearm movement, and control the robot to perform continuous complex movements. motion, which solves the problem that simple surface EMG gesture classification is not suitable for continuous complex motion of robots

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