Non-contact physical fitness testing system and testing method based on depth image

A depth image, non-contact technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to recognize lying postures

Inactive Publication Date: 2017-07-07
BEIJING FORESTRY UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the physical fitness test system based on the Kinect somatosensory interactive device usually dire...

Method used

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  • Non-contact physical fitness testing system and testing method based on depth image
  • Non-contact physical fitness testing system and testing method based on depth image
  • Non-contact physical fitness testing system and testing method based on depth image

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Embodiment Construction

[0043] The present invention is described in detail below in conjunction with accompanying drawing

[0044] Such as figure 1 As shown, the non-contact physical fitness test system based on the depth image of the present invention is composed of a physical fitness test control module, a sit-up test module, a push-up test module, a voice recognition module and a test feedback module.

[0045] The whole implementation process is as follows:

[0046] (1) When the user uses it for the first time, guide the user to extract and record the command sound. The user input command includes two types: start command and end command; use the built-in SDK of the Kinect somatosensory interactive device to open the built-in microphone for recording and generate a WAVE file , and generate its waveform diagram, so as to perform preprocessing and feature extraction on the voice signal, and generate a user command template; when the user uses the system again, it will collect the user command voic...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06T7/64A63B71/06A63B23/12A63B23/02
CPCA63B23/0211A63B23/1236A63B71/0619A63B2220/805A63B2220/806G06T2207/10004G06T2207/10028G06T2207/20164G06T2207/30196
Inventor 王晗赵凯闫楚依杨天林旻王煜城杨敏
Owner BEIJING FORESTRY UNIVERSITY
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