RaITIn: Radar-Based Identification for Tangible Interactions


Radar is primarily used for applications like tracking and large-scale ranging, and its use for object identification has been rarely explored. This paper introduces RaITIn, a radar-based identification (ID) method for tangible interactions. Unlike conventional radar solutions, RaITIn can track and identify objects on a tabletop scale. We use frequency modulated continuous wave (FMCW) radar sensors to classify different objects embedded with low-cost radar reflectors of varying sizes on a tabletop setup. We also introduce Stackable IDs, where different objects can be stacked and combined to produce unique IDs. The result allows RaITIn to accurately identify visually identical objects embedded with different low-cost reflector configurations. When combined with a radar’s ability for tracking, it creates novel tabletop interaction modalities. We discuss possible applications and areas for future work.

In CHI Conference on Human Factors in Computing Systems Extended Abstracts
Tamil Selvan Gunasekaran
Tamil Selvan Gunasekaran
Master Student

My research interests include Assistive Augmentation, Machine Learning and Interactive Sensing.