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

A smart phone-based attitude recognition and remote training method and system

A technology for smart phones, training systems, applied in the direction of electrically operated teaching aids, sports accessories, instruments, etc.

Inactive Publication Date: 2016-07-06
HANGZHOU DIANZI UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above two types of methods need to deploy specific basic equipment to assist gesture recognition. For example, visual recognition needs to set up a corresponding number of cameras, and wireless signal recognition methods need to deploy a certain number of wireless signal transceiver base stations. There are certain limitations in practical applications.

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
  • A smart phone-based attitude recognition and remote training method and system
  • A smart phone-based attitude recognition and remote training method and system
  • A smart phone-based attitude recognition and remote training method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described below in conjunction with accompanying drawing.

[0028] Such as figure 1 As shown, the system of the present invention includes: a remote network display terminal, a local network display terminal, a server and a smart phone. The smartphone is the data collection center, which needs to be equipped with a three-axis acceleration sensor and a compass; the server is the data processing and transmission center, which receives and processes the information transmitted by the smartphone; the local and remote network display terminals are the data display center, which mainly displays the user's track information.

[0029] The user holds the smart phone; the smart phone collects the three-dimensional coordinate information of the user's arm movement and the movement speed on the X, Y, and Z axes through the three-axis acceleration sensor; through the compass, collects the direction information of the user's arm movement; The w...

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 gesture recognition and remote training method and system based on a smart phone. The present invention includes a remote network display terminal, a local network display terminal, a server and a smart phone. The smart phone is a data collection center equipped with a three-axis acceleration sensor and a compass; the server is a data processing and transmission center that receives information transmitted by the smart phone and performs Processing; the local and remote network display terminals are data display centers, which mainly display the track information of the user; the processing of the server includes the process of generating the track of the trainer's gesture motion and analyzing and comparing the trainer's gesture track and the coach's gesture track, The process of finding out the differences in the trajectories of gestures between the trainee and the trainer. The invention provides convenience for coaches to attend classes and students to learn remotely, and realizes "teaching and training anytime and anywhere".

Description

technical field [0001] The invention belongs to the technical field of computer applications, and relates to a gesture recognition and remote training method and system based on a smart phone. Background technique [0002] At present, the system of human gesture recognition is mainly based on the method of visual processing and signal strength of wireless signal. However, the above two types of methods need to deploy specific basic equipment to assist gesture recognition. For example, visual recognition needs to set up a corresponding number of cameras, and wireless signal recognition methods need to deploy a certain number of wireless signal transceiver base stations, which have certain limitations in practical applications. With the rapid development of smart phone technology, built-in powerful accelerometer and compass, it is possible to build a gesture recognition and training system without the need for other infrastructure. Contents of the invention [0003] Aiming ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): A63B69/00A63B71/00G09B5/02
Inventor 曾虹戴国骏胡译丹石恒智郭鸿杰许方镇王哲潘李凡
Owner HANGZHOU DIANZI UNIV
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