Strength training data acquisition device based on multi-sensing information fusion technology

Abstract

The invention discloses a strength training data acquisition device based on multi-sensing information fusion technology, which includes a base, a column, a first support plate, a fixed pulley, a second support plate, a visual sensor, a belt, a counterweight, a tension sensor, The handheld mechanism, the repeater module integrated with a single-chip microcomputer, and the data acquisition and display system. The single-chip microcomputer set in the repeater module processes the data of the tension sensor and the visual sensor, so as to accurately capture the bodybuilder's strength training load, speed, Displacement, time, frequency and other data, the data acquisition and display system is connected to the cloud server through the repeater module and the data is fed back to the cloud server expert system in real time, which provides an effective and safe sports training plan. The device has a simple structure, can accurately detect various parameters during strength training, and is convenient for an expert system to provide an effective and safe exercise training plan.

Description

technical field [0001] The invention relates to a data collection device, in particular to a strength training data collection device based on multi-sensing information fusion technology. Background technique [0002] With the rise of national fitness as a national strategy, people's enthusiasm for fitness is unprecedentedly high. However, compared with aerobic fitness, strength training has relatively little awareness and participation, especially in terms of data quantification and scientific guidance. lack. Compared with aerobic training, muscle strength training has risk factors such as ignorance of training methods, irregular movements, vulnerability to injury, and uncontrollable intensity. Therefore, it is of great significance to upgrade muscle strength training intelligently and digitally. The current domestic technologies and methods related to power data collection have the following problems: [0003] (1) The load of strength training cannot be accurately colle...

AI Technical Summary

Problems solved by technology

[0003] (1) The load of strength training cannot be accurately collected. In fact, due to the structure and angle of the strength equipment, the uneven force during the pulling process, and the difference in pulling speed, there is a deviation between the actual load of strength training and the standard load of the counterweight. , which also affects the accuracy of strength training data;

[0004] (2) There is a lack of more detailed characterization of the sports training plan, which cannot accurately reflect the strength training situation

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