Hand gestures have become a natural way to communicate with digital systems, but making machines understand those gestures with precision remains a technical challenge. While cameras and wearable devices have been used to translate hand movements into commands, both solutions come with trade-offs. Optical systems often falter in poor lighting or cluttered environments, while wearable devices can feel invasive and uncomfortable. As technology advances, the need for a more seamless, reliable way to interpret human gestures has grown more pressing.
