Gesture recognition device based on arm muscle current detection and motion sensor

Abstract

The invention discloses a gesture recognition device based on arm muscle current signal detection and a motion sensor, and the gesture recognition device serving as a machine instruction input device can be used for any electronic system needing man-machine interaction. The device comprises a hand ring or an arm ring, wherein according to the shape, the hand ring or the arm ring can be worn on the wrist or the front arm, biological currents generated in the motion process of the arm muscles are extracted through one or more muscle skin current sensors tightly attached to the skin, the currents pass through an amplifier circuit, a filter circuit and an analog-digital conversion circuit, and characteristic parameters of gestures are extracted through real-time digital signal algorithm processing, and therefore the gestures are recognized. The recognized gestures are mapped to be all kinds of control instructions allowed to be configured, and the instructions are transmitted to a controlled mainframe in a wireless or wired mode through Bluetooth or others. The gestures are judged through the arm muscle currents and the motion sensor, and a bran-new man-machine interaction instruction input mode is achieved.

Description

technical field [0001] The invention relates to a novel human-computer interaction interface (HCI) control input device. The traditional human-computer control input method adopts: fingers directly operate the mouse, keyboard, buttons, touch screen, etc.; voice recognition; two-dimensional or three-dimensional machine vision to realize gesture or body posture recognition. In many cases, traditional human-computer interaction methods take up too much time with both hands, and are unnatural and difficult to operate; speech recognition and machine vision recognition can liberate hands to a certain extent, but they are greatly affected by environmental factors, such as in noisy environments In low-light environments, the detection results may be very unreliable, and users will interfere with other people during use; voice recognition also has the disadvantage of poor real-time performance. With the increasing abundance of electronic products used to transmit information, the dema...

AI Technical Summary

Problems solved by technology

The advantage of extracting the EMG signal on the skin surface is that it is not traumatic to the user, easy to use, and has a good user experience; the disadvantage is that because the current signal inside the muscle needs to pass through the human tissue to reach the skin surface, the finally extracted EMG signal is relatively weak, and at the same time Mixed with various interferences, there are higher algorithm requirements for subsequent signal processing

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