Zhu Qiwen, Sun Jun, H. Xueqin, Zhou Hongmei, Tang Yongming
{"title":"基于Android和电容式触摸屏的不同触摸对象识别算法研究","authors":"Zhu Qiwen, Sun Jun, H. Xueqin, Zhou Hongmei, Tang Yongming","doi":"10.1109/ICSENST.2016.7796300","DOIUrl":null,"url":null,"abstract":"Nowadays, touch panel technology has become the mainstream of human-computer interaction. Based on a smart phone equipped with Atmel's latest touch chip - maxTouch874 and the Eclipse software, a system that can gather the original signals from self-capacitance and mutual-capacitance is developed. The recognition of four kinds of touch objects is achieved with the different characteristics of different touch objects. The test result verifies the accuracy of the algorithm.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Study on different touch object recognition algorithm based on Android and capacitive touch panel\",\"authors\":\"Zhu Qiwen, Sun Jun, H. Xueqin, Zhou Hongmei, Tang Yongming\",\"doi\":\"10.1109/ICSENST.2016.7796300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, touch panel technology has become the mainstream of human-computer interaction. Based on a smart phone equipped with Atmel's latest touch chip - maxTouch874 and the Eclipse software, a system that can gather the original signals from self-capacitance and mutual-capacitance is developed. The recognition of four kinds of touch objects is achieved with the different characteristics of different touch objects. The test result verifies the accuracy of the algorithm.\",\"PeriodicalId\":297617,\"journal\":{\"name\":\"2016 10th International Conference on Sensing Technology (ICST)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Conference on Sensing Technology (ICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENST.2016.7796300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2016.7796300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on different touch object recognition algorithm based on Android and capacitive touch panel
Nowadays, touch panel technology has become the mainstream of human-computer interaction. Based on a smart phone equipped with Atmel's latest touch chip - maxTouch874 and the Eclipse software, a system that can gather the original signals from self-capacitance and mutual-capacitance is developed. The recognition of four kinds of touch objects is achieved with the different characteristics of different touch objects. The test result verifies the accuracy of the algorithm.