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asl-dataglove's Introduction

Hand-Gesture-Recognition

The system can classify 14 static and 3 dynamic hand gestures in real-time.

Detailed Project Report

Developer

  • Farhan Fuad Abir
  • Md. Ahasan Atick Faisal

Datasets

Dependencies

Python 3.5

  • Numpy
  • Pandas
  • Pyserial
  • Matplotlib
  • Scikit-Learn
  • Jupyter Notebook

ESP-32

Gestures



Dataglove

It contains 5 flex sensors and 1 MPU6050 IMU sensor. A ESP32-based module is used as the processing unit.



Desktop Interface

It is developed using Processing.



The graphs show the sensor data in real-time. During Train mode, the software records sensor data in a csv file.

Video Demostration

License

This work is licensed under MIT License.

asl-dataglove's People

Contributors

farhanfuadabir avatar atick-faisal avatar

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Forkers

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