A method and device for identifying user's hand behavior using capacitance detection

Abstract

The invention discloses a device for detecting and identifying user hand behaviors by using a capacitor. The device comprises a plurality of capacitor plates, a plurality of conductor areas formed by conductive fibers, a capacitive sensor, a signal processor and a wireless communication module, wherein the conductor areas are used for generating changing capacitor plate signals according to hand behaviors; the capacitive sensor is used for collecting the capacitor plate signals of the plurality of capacitor plates and transmitting the capacitor plate signals to the signal processor; the signal processor is used for analyzing and processing the received capacitor plate signals and judging and obtaining hand behavior data corresponding to the capacitor plates and attributes and shape data of a target object; and the wireless communication module is used for transmitting the hand behavior data and the attributes and shape data of the target object analyzed and obtained by the signal processor to an upper computer. The invention further discloses a method for detecting and identifying the user hand behaviors by using the capacitor. According to the device and the method, a real-time attitude when a hand of a user is close to and in contact with the target object, and the conductivity, outline shape and size of the target object can be detected and identified.

Description

technical field [0001] The invention relates to the technical field of gesture detection, in particular to a method and a device for recognizing user's hand behavior by using capacitance detection. Background technique [0002] With the development of communication technology and human-computer interaction technology, mobile terminal devices such as mobile phones and tablets have become indispensable items in everyone's work and life. These hand-held products have increasingly rich functions and support the interaction methods of touch screen and air gestures, but at the same time, they also put forward higher requirements for the accuracy and efficiency of user's hand movements. In order to understand the specific activities of users in the process of using handheld electronic products, the user's hand activities are usually collected through observation records or video analysis, and the main hand movements are extracted as the basis for the interaction design of handheld ...

AI Technical Summary

Problems solved by technology

CN205644089U discloses a system that utilizes an EMG armband to detect and recognize gestures, but it cannot detect distance and speed changes between hands and target objects; CN105929936A discloses a comprehensive variety of sensors (including one or more motion Detector, gyroscope, the gesture detection method and system of the hand of proximity detector), but fail to detect for the association between hand and target object; CN101655757B proposes a kind of gesture detection method for touchpad, but its to Hand behavior in the air cannot be effectively detected; CN205540578U discloses a control glove based on hand recognition, which comprehensively utilizes infrared pair tubes, voltage comparators, single-chip microcomputers, and Bluetooth modules, but mainly detects the bending degree of fingers; CN205485911U announces a A wireless control gesture glove composed of a three-axis gyroscope and an accelerometer, which does not detect the conductivity and shape properties of the gesture contact object

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