Static Hand Gesture

Static hand gesture recognition aims to accurately identify non-moving hand poses using various sensor technologies and machine learning algorithms. Current research focuses on improving accuracy and efficiency using convolutional neural networks (CNNs), including specialized architectures like MobileNet, and exploring alternative sensor modalities such as radar (UWB and mmWave) to overcome limitations of camera-based systems. These advancements hold significant promise for enhancing human-computer interaction, particularly in robotics and assistive technologies, by providing intuitive and robust interfaces for controlling devices and conveying information.