Computer Vision for Hand Gesture Recognition
Description :
This book discusses the use of the Long Short-Term Memory (LSTM) method for hand gesture recognition as an interactive learning medium for the Indonesian Sign Language System (SIBI) based on desktops and webcams. The discussion begins with the need for interactive sign language learning media, then moves on to concepts of computer vision, preprocessing, sequences, LSTM, system implementation, and performance evaluation.
With a systematic and easy-to-follow writing style, this book explains how hand gestures can be transformed into visual data and sequence data. Readers are invited to understand why LSTM is relevant for reading movement transitions, how gesture datasets are constructed, how models are trained, and how test results need to be critically analyzed.