Mobile Hand Gesture Controlled Application using Transfer Learning

Anna Preczyńska, Krzysztof Lichy, Piotr Lipiński, Barbara Morawska
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Abstract

An increasing number of companies move to a touchless user interface, partly because of the pandemic's impact and the restricted rules of using public access objects. The market for Zero User Interface is increasing and industrial implementations are growing and promising. Currently, the knowledge of keeping yourself healthy and clean is essential to prevent the spread of Covid-19 disease. A proposed project – a hand gesture-controlled application to properly guide the user through the handwashing process can increase the overall level of hygiene in public. The solution is realized with a transfer learning method based on EfficientNet Lite models making it possible to run on Android, iOS, embedded Linux devices, and microcontrollers.
使用迁移学习的移动手势控制应用程序
越来越多的公司转向非接触式用户界面,部分原因是大流行的影响以及使用公共访问对象的限制规则。零用户界面的市场正在增长,工业实现也在增长,前景广阔。目前,保持健康和清洁的知识对于预防Covid-19疾病的传播至关重要。一个建议的项目-一个手势控制的应用程序,以正确地指导用户完成洗手过程,可以提高公共场所的整体卫生水平。该解决方案是通过基于EfficientNet Lite模型的迁移学习方法实现的,使其能够在Android、iOS、嵌入式Linux设备和微控制器上运行。
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