Research On Interactive Control Technology For Smart Fabrics

In recent years,in the research and development of smart fabrics,fabric switches are used as the most typical touch devices in various wearable computer devices.This kind of smart fabric sends instructions and controls to various terminal devices by operating the switch buttons composed of the fabric,realizing the idea of ubiquitous connection of people and things proposed by the Internet of Things.However,the touch points provided by the fabric switch under a certain area are very limited.The user needs to accurately find the position of the switch button during operation.Therefore,this control strategy is not convenient and fast,and the possibility of accidental touch is high.The user's interactive experience Poor.This paper proposes a smart fabric with gesture recognition as a control strategy,which makes the interaction between users and the smart fabric more convenient and faster.In order to realize a smart fabric with gesture recognition as a control strategy,this article has studied and studied common touch devices on the market,such as the touch screen of a smart phone,to understand the working principle of mainstream touch devices on the market,and according to the characteristics of the fabric,imitate the phone capacitance The working principle of the integrated touch screen is designed as a multi-layer structure of smart fabrics with a grid of capacitive cells composed of weft conductive yarns and warp conductive yarns as a control strategy.Next,this article draws on the working principle of the coordinate detection circuit of the capacitive touch panel,and selects the SP5V210 single-chip microcomputer as the micro-control unit.Based on the traditional fast query algorithm for touch points,it uses a sliding filter algorithm to remove noise interference.Optimize it to enhance its anti-interference ability.Finally,this paper designs corresponding preset gestures according to the actual needs of smart fabrics with gesture recognition as a control strategy,and optimizes them on the basis of$1 unistroke recognizer algorithm.After programming in JAVA language,it runs on the Android simulator to confirm the algorithm It has enough accuracy to realize the function of interacting with the host computer or peripheral equipment by means of touch gestures on the smart fabric.