This paper presents the design flow of an IoT human machine touchless interface. The device uses embedded computing in conjunction with the Leap Motion Controller to provide an accurate and intuitive touchless interface. Its main function is to augment current touchscreen devices in public spaces through a combination of computer vision technology, event driven programming, and machine learning. Especially following the COVID 19 pandemic, this technology is important for hygiene and sanitation purposes for public devices such as airports, food, and ATM kiosks where hundreds or even thousands of people may touch these devices in a single day. A prototype of the touchless interface was designed with a Leap Motion Controller housed on a Windows PC exchanging information with a Raspberry Pi microcontroller via internet connection.
@article{arxiv.2304.06152,
title = {Distributed Gesture Controlled Systems for Human-Machine Interface},
author = {Hans Johnson and Jafar Saniie},
journal= {arXiv preprint arXiv:2304.06152},
year = {2023}
}
Comments
5 Pages, Accepted for Publication in 2022 IEEE International Conference on Electro Information Technology (eIT)