电容式触摸 3D手势 参考设计

AI 生成的摘要: The guide explains how to develop 3D gesture recognition applications using AI with capacitive touch sensors via the QE for Capacitive Touch tool. It supports devices with capacitive touch IP in RX, RA, and RL78 families and Renesas Synergy™ platform. Key features include gesture data recording, AI model generation through automated deep learning, and real-time monitoring and tuning to improve recognition accuracy. The tool simplifies AI development without requiring specialized skills. The operating environment includes e2 studio IDE, GNU Arm toolchain, and specific evaluation boards and emulators. The guide covers setup, tuning, gesture recording, learning, coding, and monitoring workflows.

AI 生成的摘要: 3D Monitor is a Windows 10 application that connects to the 3D Gesture Demo Set via a COM port to display real-time gesture data. It shows numerical and graphical values for 4-electrode counts, reference values, 3D position calculations, gesture recognition results, and noise environment judgments. Users can save communication logs and prepare header files for pre-measured values. The tool requires no installation and operates at a default baud rate of 38400.