An intelligent sensing glove and sensing method for gesture recognition in anti-terrorist operations

Abstract

The invention relates to the design of a multi-sensing intelligent perception glove, which belongs to the technical field of anti-terrorism equipment. It solves the technical problems of complex system structure, low accuracy of gesture recognition and high cost in the current smart gloves for anti-terrorism operations. The smart sensory glove of the present invention includes a switch, a sensor, a charge amplification circuit, a filter circuit, a digital conversion module, a microcontroller, an instruction display, a wireless communication module, a voice playback module, a power supply and other components. According to the special needs of the anti-terrorist troops, the intelligent sensing gloves of the present invention can realize the needs of medium and long-distance information transmission in harsh environments. The gloves can be used for common combat gesture recognition, the algorithm requirements are low, the method is simple, the recognition speed is fast, and the expansion The application of tactical gestures enables faster and more effective communication between team members, making tasks more efficient; at the same time, the gloves are small in weight, easy to wear, low in power consumption, and long in standby time.

Description

Technical field[0001]The invention relates to a multi-sensing intelligent sensing glove design, in particular to a piezoelectric film sensing glove design used for anti-terrorism combat gesture recognition, and belongs to the technical field of anti-terrorism equipment.Background technique[0002]Sign language for counter-terrorism operations has always been an indispensable skill for counter-terrorism team members. In the field of counter-terrorism, team members usually use sign language commands to communicate. However, in practice, due to the influence of harsh environments such as rain, snow, smog, and complex combat spaces, combat Team members cannot quickly and accurately recognize each other's gestures, which will seriously affect the team's overall cooperation and coordination. Therefore, how to realize the timely exchange of counter-terrorism forces in extreme environments has become an urgent problem in counter-terrorism operations.[0003]With the continuous improvement of so...

AI Technical Summary

Problems solved by technology

[0004] 1. Environmental adaptability: Deaf-mute gloves used for sign language recognition usually require a more complex motion capture system and high-precision sensors, usually costing tens of thousands of yuan, the accuracy of gesture recognition is low, and gesture movements are complex And it requires a large swing of the arm, which is not conducive to the concealment of the anti-terrorist combat team members, and cannot be applied to instant communication in complex environments

[0005] 2. Wearing and comfort issues: Data gloves using complex motion capture systems usually need to be equipped with a larger signal processing circuit. If worn on the waist, arms, etc., the comfort is poor and affects combat use.

[0006] 3. The problem of power consumption: the signal processing circuit with complex structure will greatly increase the power consumption and reduce the use and standby time, which is not conducive to long-term field combat use

[0007] 4. Concealment issues: In traditional combat sign language, commanders and fighters usually need to make large arm swings and other actions to send commands, which are easy to be detected or recognized by the enemy

Images