激光飞秒手势识别算法建模及其简易导航微系统实现
2022,30(7):246-254
摘要：为了解决演示场合展示办公应用的高性价比手势导航产品系统的需求，提出并阐述了基于高性能的激光飞秒测距传感和人工智能深度学习自适应进行手势识别的算法模型，做到了准确可靠、工效卓著和低成本，有力的突破了现有传统手势识别的局限。以此激光飞秒手势识别为核心，结合Lora短距离无线传输、WinUSB便捷接口和视窗控制软件处理的组合优势，独辟蹊径，实现了高性价比的简易导航微产品系统，使手势识别走向大众化常规应用，达到了教学、论坛、会展、会议等演示办公廉价便捷运用的期求。
关键词：激光飞秒测距;人工智能深度学习;BP_NN;手势识别算法模型;LoRa长距离无线通信;WinUSB接口;视窗展示控制
Modeling of Laser Femtosecond Gesture Recognition Algorithm and Implementation of Simple Navigation Microsystem
Abstract：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.
Key words：Laser femtosecond ranging; Artificial intelligence deep learning; Back Propagation Neural Networks; Gesture recognition; LoRa long-range wireless communication; WinUsb interface; Window display control.
收稿日期：2022-01-28
基金项目：江西省教育厅科研项目：GJJ206302手势飞行导航简易微系统构造
