Real-Time 3D Motion Analysis with Instant Feedback for Exercise Training

AI-generated visualisation of the inventionAI
Publication: DE102020100366A1
Published: 2021-07-15
Family Size: 1
Granted: No

Simple SummaryContent extracted from patent full text and abstract with AI.

The patent describes a method for analyzing 3D motion and providing immediate feedback during training exercises. Using a 3D sensor, it captures image and depth data of a person performing exercises. These raw data are processed to extract joint points and to break the motion into elementary exercises with time normalization, enabling detailed motion analysis and real-time feedback.

Use CasesContent extracted from patent full text and abstract with AI.

  • Fitness studios for personal training and performance improvement
  • Rehabilitation clinics for monitoring patient exercises
  • Sports coaching to optimize athletes’ movements
  • Home exercise platforms that guide users in real-time
  • Ergonomic assessment in workplace health programs
  • Physical therapy sessions for tracking recovery progress

BenefitsContent extracted from patent full text and abstract with AI.

  • Provides immediate, actionable feedback to users
  • Improves training effectiveness by precise motion analysis
  • Reduces risk of injury through accurate movement guidance
  • Automates and objectifies movement assessment
  • Enables remote monitoring and coaching possibilities
  • Adapts to different exercises and user needs due to flexible motion breakdown

Technical Classifications (CPCs)

Main Classifications

Health, Food & Consumer Tech

Physics & Measurement

Sub Classifications

Computing & Calculating

Medical & Vet Science

CPC Codes

A61B5/1128A61B5/743G06T7/0016G06T7/251G06T13/40G06V10/32G06V10/98G06V40/23

Inventors & Applicants

Applicants

Univ Chemnitz Tech

Patent Abstract

The invention relates to a method for 3D motion analysis and immediate feedback for training exercises, wherein a person is captured by means of a 3D sensor, wherein raw data in the form of image data and depth data of the person are captured by means of the 3D sensor and these data are forwarded to a processing unit and processed therein, wherein joint points are extracted from the raw data and a division into elementary exercises and their temporal normalization for a subsequent motion analysis is performed.

Key Information

Publication No.

DE102020100366A1

Family ID

76542628

Publication Date

2021-07-15

Application No.

DE102020100366A

Application Date

2020-01-09

Priority Date

2020-01-09

Granted

No

Possible Cooperation

For further information please contact the transfer office.