Gestures are the primary actions that manifest various human expressions and these manifestations are independent of age, gender, and health conditions. Considering the importance of gestures for communication with the surrounding environment, automatic detection of gestures using the intelligent electronic system is an interesting domain having application in diverse fields. As a fundamental use case, a “touchless“ system is an important application of the intelligent electronic gesture recognition approach. A touchless system is effective to communicate with a machine without having physical contact with it, a possible way to avoid the spread of viruses and bacterias such as COVID-19. Depending on the ambient conditions, the SARS CoV-2 virus has been found alive for hours or even days on surfaces, creating a huge risk of transmission through touching of these fomites followed by touching the mouth, nose, or eyes. In public places, these surfaces could range from elevator controls, doorknobs, banks, hospitals & restaurant service counter machines, ATMs, point-of-sale (POS), sanitizing and vending machines, and many more.
To prevent surface transmission, touchless sensing and operation of devices in the above scenarios through micro-gesture recognition (MGR) is a need of the hour. Therefore, this project aims to utilize the latest mm-wave radar technology at 60GHz and augment it with the power of AI to firstly develop a library of micro-gestures and secondly to integrate it with some public use devices to demonstrate touchless sensing.
The project output is in the form of a production-ready prototype with the following objectives:
Dr. Zaffar Haider Janjua
zaffar.haider@spcai.paf-iast.edu.pk
Google Scholar
Dr. Hammad M. Cheema
hammad.cheema@rimms.nust.edu.pk
Company: Renzym (Pvt.) Ltd
Name of Person: Yasir Javed
Co-Funding Provided (if any): Rs 0.5 Million in-kind