Comprehensive evaluation and training system for human jump indexes based on multi-modal signal

Abstract

A comprehensive evaluation and training system for human jump index based on multi-modal signal is composed of a motion information collection module, a motion information processing module, a motioninformation evaluation module and a motion training guidance module, which can analyze and train a human lower limb explosive force, speed and other motion indexes. The device is designed based on nine-axis sensor, which overcomes the shortcomings of single data dimension, big error of evaluation result and single evaluation of traditional evaluation device. In the human-computer interaction interface of the information evaluation module, subjects can clearly see the multi-dimensional motion data and analysis results, and store and share them to the evaluation center. In the human-computer interaction interface of the training instruction module, the instructor can also set the movement parameters by himself, display the movement effect through VR technology, and make the best human jump training scheme. The device has the advantages of small volume, low cost of use and maintenance, high reliability, and is suitable for the evaluation and training of human jumping movement indexes.

Description

technical field [0001] The invention belongs to the field of evaluation and training of human body lower limb movement indexes, in particular to a human body jumping index comprehensive evaluation and training system based on multi-sensor data sharing, information fusion and human-computer interaction. Background technique [0002] In our country, whether it is the physical examination of middle school and college entrance examination or the national student physical health standard test, the standing long jump is set as one of the compulsory items, as an important item to evaluate the human body movement indicators such as the strength of the lower limbs and explosive power of students; and currently Most of the movements used to evaluate and train these jumping indicators are vertical jumps. The more commonly used methods for testing the level of vertical jumping include vertical jumping, vertical jumping, timing, etc. There are many indicators of human jumping movement, an...

AI Technical Summary

Problems solved by technology

[0002] In our country, whether it is the physical examination of middle school and college entrance examination or the national student physical health standard test, the standing long jump is set as one of the compulsory items, as an important item to evaluate the human body movement indicators such as the strength of the lower limbs and explosive power of students; and currently Most of the movements used to evaluate and train these jumping indicators are vertical jumps. The more commonly used methods for testing the level of vertical jumping include vertical jumping, vertical jumping, timing, etc. There are many indicators of human jumping movement, and an important jumping indicator is explosive power. , but these can only indirectly measure the level of explosive power of athletes, and cannot rule out the influence of body weight and leg length on the measured explosive power level; there are also deficiencies in other indicators of jumping sports such as speed, height, etc., and the measurement speed can only be measured The average speed can be obtained, but the real-time display of the speed cannot be achieved. The measurement height can only measure the place that the hand can touch, and ignores the influence of the body posture on the jumping movement, which is not conducive to accurately evaluating the jumping movement level of the athlete. Propose a suitable and effective training plan; therefore, the existing human body jumping index evaluation and training methods are seriously deficient

[0003] The evaluation and training of human jumping indicators require suitable, effective and accurate small-scale test system devices. However, due to the unreasonable design of sensors and measurement methods, the evaluation results of human jumping indicators are limited. The error is very large, which has a great negative impact on improving the jumping ability of the human body. At the same time, the current relatively accurate human body jumping index evaluation system is bulky, inconvenient to carry, complicated to operate, and not easy to promote; therefore, it is urgent to develop a method for The jumping process of the human body, a comprehensive evaluation and training system for human body jumping indicators that can directly evaluate the explosive power level of the lower limbs, high precision, and small size

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