Gesture recognition, as a significant development direction in the field of somatosensory interaction, holds broad application prospects in areas such as virtual reality, smart home technology, and healthcare. This article begins with the implementation process of somatosensory interaction technology, elaborating on three dimensions: sensor selection, data processing, and control methods. Based on this foundation, gesture recognition is categorized into dynamic and static gestures, and is analyzed from two perspectives: traditional control methods and learning-based approaches. Finally, by synthesizing current technological trends, future development directions are projected.