Sensor-based swimming stroke analyzer and sensor-based swimming stroke analysis method

Abstract

The invention relates to a sensor-based swimming stroke analyzer and a sensor-based swimming stroke analysis method. The sensor-based swimming stroke analysis method comprises the following steps: (1)a palm data acquisition device which comprises a sensor module is worn on the palm of a trainer, and the sensor module comprises a triaxial accelerometer, a gyroscope sensor, and a wireless communication module; (2) a bone conduction sensor device is worn on the head of the trainer; (3) analysis is carried out; (4) the bone conduction sensor device is utilized for feedback of analytical data by voice in time. The invention uses the triaxial accelerometer and the gyroscope sensor to obtain swimming stroke characteristic data, and analyzes basic parameters (such as stroke frequency, stroke length, stroke speed and efficiency) of swimming training by processing and converting acquired data sensed by the triaxial accelerometer and the gyroscope sensor into graphical data, and the gyroscope sensor is used for measuring the inclination angle and rotational angle of the bottom of a swimmer.

Description

technical field [0001] The invention relates to the technical field of swimming teaching methods, specifically, it shows a sensor-based swimming posture analysis device and analysis method. Background technique [0002] In the highly competitive swimming competition, the gap between the trainers is getting smaller and smaller, and the victory or defeat is often only within milliseconds; therefore, introducing scientific methods and techniques to capture, analyze, and fine-tune swimming movements in training has become an important issue for elite swimmers. However, it is still rare to apply related technologies to swimming training, mainly because research training tools must be waterproof, and the technology of how to transmit data in water is an insurmountable problem. Swimming training is based on the combination of movements and related theories of movement structure. Swimmers overcome the resistance in the water by manipulating body limbs to move forward. Therefore, und...

AI Technical Summary

Problems solved by technology

In terms of dynamics, it mainly analyzes parameters such as the speed, stroke frequency, stroke width and efficiency of the trainer. In the research of image analysis, it mainly analyzes the three-dimensional movement of the trainer in the water, and discusses the relationship between body rotation, balance and streamline position and swimming. The relationship between speed, however, there are still some difficulties to be overcome when using dynamics or image analysis methods in swimming training and research. For example, at least two or more underwater cameras are required when using image analysis, and it takes a long time to process the digitization process. ; Actions in water may also be caused by human errors such as light refraction or skin markings, and it is impossible to use optical or motion capture systems to assist motion capture, and there may even be concerns about missing data points due to visual occlusion caused by viewing angles

[0004] In addition, both of these two research methods have the problem of delayed feedback, and trainers and coaches cannot immediately know the lack of movement; however, real-time feedback information is very important for swimming teaching and swimming training. Excellent coaches and teachers, It can provide high-quality feedback information in the shortest time, which will help the trainer or learner to immediately correct and improve the lack of movement

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