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

• I2Cdevlib-Core_ID11
• I2Cdevlib-MPU6050_ID107

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.