A smart glove, method and system for calorie consumption and hand gesture recognition

Abstract

The invention provides a pair of intelligent gloves, method and system for calorie consumption and hand posture recognition. The pair of intelligent gloves comprises a processor module, a memory module, a communication module, an induction module, an early warning prompt module, a display module, a power module, a switch module and a cloud server. The memory module, the communication module, the induction module, the early warning prompt module, the display module, the power module, the switch module and the cloud server are respectively connected with the processor module. The induction module comprises a pressure sensor and an IMU. The pressure sensor and the IMU are respectively used for being responsible for sensing hand stress strength and IMU data in users' fitness process, collecting source data according to user strength training and sending the source data to the processor module. The processor module is responsible for preprocessing of the source data. According to the pair of intelligent gloves, in the strength training process, the detection accuracy rate of detected motions is high, the rate of false alarm is low, and alarm signals can be sent when the hand posture is deviated.

Description

technical field [0001] The present invention relates to an intelligent detection device, in particular to a smart glove used for measuring calorie consumption and hand posture recognition of strength training, and to a method and system for using the smart glove to recognize calorie consumption and hand posture . Background technique [0002] Nowadays, as the concept of healthy living becomes more and more popular, more and more fitness enthusiasts hope to be able to measure calorie consumption during strength training and subsequent diet adjustments. Energy consumption is not only a cumbersome procedure, but also requires additional equipment, so we urgently need to find a method that can conveniently and effectively detect calorie consumption and action recognition during strength training. [0003] In the daily fitness process, especially strength training, the human body will consume a lot of calories. In order to help the nutritional supplement and diet after training,...

AI Technical Summary

Problems solved by technology

[0004] In order to realize the preparation detection and calorie consumption during fitness, people have proposed the method of using treadmills, bicycles, and running shoes to detect calorie consumption. However, the detection systems built by these methods have various shortcomings. Calorie consumption is detected by specific sports calculation modules. When using these specific calculation modules for calorie calculation, the measurement module is not mobile and cannot be truly wearable. In current research and industry In production, there is no device that can achieve the above functions, and the existing methods of the latter cannot be widely applied to this scenario due to the particularity of the module

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