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n order to meet the demand of high cost performance gesture navigation product system for office application in demonstration occasions, an algorithm model of gesture recognition based on high-performance laser femtosecond ranging sensor and artificial intelligence deep learning adaptation is proposed and described, which is accurate, reliable, efficient and low-cost, and effectively breaks through the limitations of existing traditional gesture recognition. Taking laser femtosecond gesture recognition as the core, combined with the combined advantages of Lora short-distance wireless transmission, WinUsb convenient interface and window control software processing, we have developed a unique way to realize a cost-effective simple navigation micro product system, which makes gesture recognition popular and conventional applications, and meets the expectation of cheap and convenient use of demonstration office such as teaching, forum, exhibition and conference.