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