Real-time hand gesture recognition - sign language to voice conversion

The book "Real-time hand gesture recognition - sign language to voice conversion" offers a comprehensive examination of an innovative system for real-time hand gesture recognition, specifically designed for translating American Sign Language (ASL) into voice signals. This project aims to provide an effective communication method for individuals with speech disabilities. By utilizing surface electromyography (EMG) to measure the electrical activity of the forearm muscles and an accelerometer to capture hand movements, a portable data collection device is employed to transmit the collected signals. The implementation of a pattern recognition algorithm in Matlab allows for the processing of these signals and the output of decisions based on the gestures performed. The book documents the tests conducted on subjects to identify one-handed and two-handed gestures to recognize various words and basic sentences in ASL. The experimental results are discussed in detail, providing valuable insights into the possibilities of gesture recognition.