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Gesture Tracker (WIP)

Application designed to expand OpenNetics capabilities. A user-friendly interface for reading and analysing serial data, this tool helps create .ges gesture files, holding machine learning models for gesture recognition.

App Window

Key Features

  • Real-Time Data Monitoring: Connect to OpenNetics device and view live sensor data. The application plots the data on a graph, while simultaneously displaying the raw readings on the screen.
  • Data Exporting: Save read data to a .txt file for future analysis or backup purposes.
  • Gesture Recording: Capture and repeat a flow of sensor data by manually invoking gestures. This feature allows for the collection of consistent data samples, and generating models based on them.
  • Machine Learning Integration: Transform recorded gesture data into a standardised .ges file that can be utilised in various programming projects. This simplifies the process of implementing pattern recognition in server applications.

Contributing

Contributions are welcome! Feel free to submit issues or pull requests to enhance the functionality of Gesture Tracker.

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read raw sensor values and create their machine learning models

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