Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart 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
  • Non-contact physical fitness testing system and testing method based on depth image

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com