A non-contact physical fitness testing system and testing method based on depth images

Abstract

The invention relates to a non-contact physical fitness testing system and testing method based on a depth image. The system is formed by a physical fitness testing control module, a sit-up testing module, a push-up testing module, a voice recognition module, and a test feedback module. The depth image is obtained through using a Kinect somatosensory interactive device, a finite state machine framework is used to count the motion of a tested human body, a voice recognition algorithm is used to automatically start or end a physical fitness test, and a related test result is fed to a user at the same time. According to the system and the method, the capture and recognition of the depth image are fused, the limb information of the user is obtained under the premise that the limb of the user does not carry any apparatus, and the precise exercise test counting is carried out. In addition, the system can record automatically according to the matching of a user voice signal, other human intervention is not needed in a detection process, at the same time the related test result can be fed to the user according to detection data, the user can achieve the maximum physical potential of the user, the exercise efficiency and effect are improved, and a self monitoring platform is provided for non-professional sports players.

Description

technical field [0001] The invention relates to a non-contact physical fitness test system based on a depth image, which is a non-wearing somatosensory interactive physical fitness test system and belongs to the technical field of computer applications. Background technique [0002] With the improvement of the quality of life, people pay more and more attention to exercises to improve their physical fitness. Among them, strength training plays an extremely important role in reducing fat and shaping the human body. At present, the vast majority of strength training is measured based on wearable devices. Such equipment includes: electromagnetic induction type, GPS measurement type, etc. Electromagnetic induction equipment is to wear a receiving or transmitting device on the tester, use a computer and other measuring instruments to transmit or receive signals and count through the presence or absence of signals. This kind of equipment has disadvantages such as the signal is ...

AI Technical Summary

Problems solved by technology

At present, the physical fitness test system based on the Kinect somatosensory interactive device usually directly uses the SDK that comes with the Kinect somatosensory interactive device to detect and recognize the human body.

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