Intelligent sensing glove and method for recognizing anti-terrorist operation gestures

Abstract

The invention relates to a multi-sensing intelligent sensing glove, belongs to the technical field of anti-terrorist equipment, and aims at solving the technical problem that the present intelligent gloves for anti-terrorist operations are complicated in system structure, relatively low in gesture recognition correctness and high in cost. The intelligent sensing glove comprises 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 play module, a power supply and thelike. According to special demands of anti-terrorist units, the intelligent sensing glove is capable of realizing middle and long-distance information transmission demands under severe environment; the glove can be used for recognizing common operation gestures, is relatively low in algorithm requirement, simple in method and high in recognition speed, and is capable of expanding the application occasions of tactic gestures and realizing communication between team members more rapidly and effectively so as to enable the task completion to be more effective; and meanwhile the glove is small inmass, portable 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 thin-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 essential skill for counter-terrorism team members. Sign language commands are usually used to communicate among team members on the counter-terrorism scene. The team members cannot quickly and accurately identify each other's gestures, which will seriously affect the overall cooperation and coordination of the team. Therefore, how to realize the timely communication of anti-terrorist forces in extreme environments has become an urgent problem to be solved in anti-terrorist operations. [0003] With the continuous improvement of social science and technology level and the continuous development of artificia...

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

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