Gesture and air-writing recognition with high resolution SONAR

Speaker: A Anil Kumar

Abstract

Human computer interaction based on gestures forms an important and popular approach among the various other modalities. While camera-based gesture recognition is widely used, privacy restrictions and other limitations such as dependence on lighting prohibit its usage in several applications. Lately, the SONAR-based approach is gaining a lot of attention as microphones and speakers are ubiquitous. In this talk, we will describe our recent works on gesture and air writing recognition based on SONAR. Further, our economical spiked neural network-based classifier implementation shall also be briefly provided.

Bio

A. Anil Kumar received his Ph.D. degree in electrical and electronic engineering from Nanyang Technological University, Singapore in 2011. Presently, he is a Senior Scientist with TCS Research & Innovation, Bangalore, India; Prior to TCS, he was with Accord software and systems Pvt. Ltd, Bangalore, India during 2002 - 2005, Panasonic Singapore laboratories pte. Ltd, Singapore during 2010 - 2011 and with Temasek Laboratories@Nanyang Technological University, Singapore during 2011 - 2015. His research interests lie in the broad areas of signal processing, communications and machine learning.