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

Static Gestures
Dynamic Gestures
ASL Alphabet [Under development]
ASL Words [Under development]

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.