Coretex Docs
CtrlK
LearnTutorialsPython libraryFAQ
  • Welcome to Coretex.ai!
  • Getting started
    • πŸŽ“Learn Coretex
      • πŸ‘₯Organization
      • πŸ–₯️Project and Task
      • πŸ”Type
        • πŸƒMotion Recognition
        • πŸ“·Computer Vision
        • πŸ‘©β€πŸ”¬Bioinformatics
        • πŸ€·β€β™‚οΈOther
      • πŸ“šDataset
      • ☁️Node
      • πŸš€Endpoints
    • πŸ‘©β€πŸ’»Tutorials
      • 🀩Run your first workflow
      • πŸ›ΈMigrate your tasks to Coretex
      • πŸ’»Local Datasets and Runs
      • 🧬Microbiome analysis using Qiime2
      • πŸ‘¨β€πŸ”¬DNA forensics
      • πŸ“·Hand recognition
      • ⛹️‍♂️IMU activity recognition
      • πŸ”“User-Owned AI
    • ❓FAQ
  • Advanced
    • πŸ–₯️Coretex CLI
      • πŸ“€Coretex CLI Setup
      • πŸ”§Setting up Coretex Node
      • 🧊Kubernetes Cluster Node
      • πŸ““Troubleshooting
    • πŸ“‹Data handling in Coretex
    • πŸ‘Best Practices
    • πŸ”‘Encryption protocol
Powered by GitBook
On this page
  • Description
  • Applications
  • Tutorials

Was this helpful?

  1. Getting started
  2. πŸŽ“Learn Coretex
  3. πŸ”Type

πŸƒMotion Recognition

Description

A user annotates IMU data by marking the timestamps when desired activity occurred. A model can be trained to recognize those activities in new, unseen data.

Applications

Physical therapy, body tracking, predictive maintenance, sports medicine and any field that utilizes motion data analysis.

Tutorials

⛹️‍♂️IMU activity recognition
PreviousTypeNextComputer Vision

Last updated 11 months ago

Was this helpful?