Modeling and gesture action identification method of wireless data glove

Abstract

The invention discloses a modeling and gesture action identification method of a wireless data glove. The method comprises a glove, a bend sensor, a microcontroller, a battery module, a wireless transmission module and a wireless receiving module, wherein the bend sensor generates a resistance value change signal according to different bending degrees of fingers and transmits the resistance value change signal to a microprocessor, the resistance value change signal is processed by the microprocessor and is then sent to the wireless transmission module, and the wireless transmission module sends the resistance value change signal to PC (Personal Computer) equipment through the wireless receiving module; and the battery module supplies power to a whole circuit. The modeling and gesture action identification method of the wireless data glove gives a prototype design method which carries out multi-sensor configuration on a common glove on the basis of the acquisition and transmission characteristics and the physical dimensions of the bend sensor and a ZigBee wireless sensor, and a circuit wiring and bend sensor calibration method adaptive to the prototype design method is developed.

Description

technical field [0001] The invention relates to a wireless data glove modeling and gesture recognition method, in particular to a bending sensor-based wireless data glove modeling and gesture recognition method. Background technique [0002] With the development of social life and the continuous improvement of computer science and technology, the human-computer interaction between users and computers has been paid more and more attention, and has become an important direction in the field of scientific research. In the human-computer interaction, people are trying to get rid of the computer-centered interaction mode and turn to the human-centered interaction mode, from the user adapting to the working mode of the computer to the computer adapting to the user's natural needs. [0003] Gestures are widely used in daily life as a natural and intuitive way of communication. As an important medium of communication between people, gestures contain vivid and rich information. The...

AI Technical Summary

Problems solved by technology

[0004] 1. Price issue: With the increasing demand for motion capture and animation products, it has brought good market prospects for the application of data gloves, but a set of motion capture systems for gestures costs 30,000 to 50,000, which makes some film production and hobbies discouraged

[0005] 2. Wearing and operating comfort issues: Although some products adopt wireless operation methods, the communication connection with the computer still adopts the traditional wired transmission method. Although the operation and communication can be realized in a wireless way, it needs to be equipped with additional receiving equipment on the arm or waist, which is inconvenient to wear

In addition, the operating time of most glove products is 4-6 hours. When the battery is exhausted, it needs to be charged, which also brings some inconvenience to the operation.

[0006] 3. System integration and openness: For different reasons such as technical protection, almost all data glove manufacturers currently close the software and hardware interfaces. Only by using their proprietary SDK development kits can the work be completed. Although the interface is closed The operator does not need to care about the details of the interface, which simplifies the operation, but the developer cannot deeply understand the content behind the interface, nor can he freely customize the required operations without the manufacturer

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