Nine-Axis Sensor for Athlete Physical Training Load Characteristics.

Meifu Liang,Yamei Li,Ningning Zhao

doi:10.1155/2022/1538331

Abstract

In order to understand the characteristic data of athletes' training load, a method based on nine-axis sensor was proposed. Twenty-seven male college athletes were tested twice with a time interval of more than 48 hours. In part 1, participants take the 1 Repetition Maximum (1RM) test. The results show that maximum strength is one of the basic factors to develop the output power of athletes. In the process of skeletal muscle contraction, the curve of speed, force, and power is closely related. When the external load is 10%∼70%, the average power increases with the increase in the average force, it increases with the decrease in the average speed, and at 70%1RM, the average power reaches the peak and then decreases at an inflection point. It is proved that the accurate weight ratio of strength training is the basis of winning athletes, the focus of high level physical coach, and the premise of scientific sports training.

Highlights

With the continuous reduction of the volume of electronic hardware and the improvement of chip computing speed, more and more domestic and foreign researchers have begun to study the motion posture of the human body [1].e nine-axis inertial sensor is composed of three-axis acceleration, three-axis gyroscope, and three-axis magnetometer and is first applied in the military space field [2]
Determination of OPL for Bench Press rowing. e output power characteristics of horizontal push and tossing under different loads are as shown in Figure 2. e average output power and the maximum output power of bench press throwing increased with the increase in training load intensity, and the output power reached the peak when the training load intensity was 70%1 Repetition Maximum (1RM); that is, the OPL of bench press throwing was 70%1RM
When the load intensity was 70%1RM, the average output power was significantly higher than that of 10%1RM (P < 0.01), 30%1RM (P < 0.05), and 90%1RM (P < 0.01), but there was no significant difference between the average output power and that of 50%1RM (P > 0.05)

Summary

Introduction

With the continuous reduction of the volume of electronic hardware and the improvement of chip computing speed, more and more domestic and foreign researchers have begun to study the motion posture of the human body [1].e nine-axis inertial sensor is composed of three-axis acceleration, three-axis gyroscope, and three-axis magnetometer and is first applied in the military space field [2]. With the continuous reduction of the volume of electronic hardware and the improvement of chip computing speed, more and more domestic and foreign researchers have begun to study the motion posture of the human body [1]. With the development of micromechanical and electronic technology, the volume of inertial sensors is getting smaller and smaller, the cost is getting lower and lower, and the chip processing speed is getting faster and faster, and they begin to be applied in the field of motion attitude recognition [3]. Many foreign companies have carried out research and development of PD quantitative evaluation products, such as the Research Kit launched by Apple, which aims to provide corresponding interfaces for PD patient data collection [4]. Global Kinetics, an Australian technology company, has a related product, which can collect data on the bradykinesia symptoms of PD patients for 10 days, so that doctors can fine-tune therapeutic drugs [6]

Methods

Results

Discussion

Conclusion