GigaFlex: Wireless Sensing of Muscular Dynamics using Chaos theory

We are working on the first contactless radar system that can measure muscle vibrations to infer muscle force and detect fatigue.

We present GigaFlex, the first contactless system that measures muscle vibrations using mmWave radar to infer muscle force and detect fatigue. GigaFlex draws on algorithmic foundations from Chaos theory to model the deterministic patterns of microscopic muscle vibrations and extend them to the radar domain.

We will design a radar processing architecture that systematically infuses principles from Chaos theory and nonlinear dynamics throughout the sensing pipeline, spanning localization, segmentation, and learning, to estimate muscle forces during static and dynamic weight-bearing exercises

This project opens new opportunities for physiological sensing of complex, non-periodic biosignals including eye movements, uterine contractions, and neural rhythms.