TinyPDNet: Real-Time Activity Recognition in Parkinson's Disease with Ultra-Low-Power MCUs

The official implementation of the paper TinyPDNet: Real-Time Activity Recognition in Parkinson's Disease with Ultra-Low-Power MCUs accepted at the IEEE Sensor Applications Symposium (IEEE SAS 2026).

Installation

The code will be available soon.

Authors

Luigi Capogrosso¹, Farshad Firouzi², Michele Magno^3,1, Florenc Demrozi⁴

¹ Interdisciplinary Transformation University of Austria (IT:U)

² Arizona State University

³ ETH Zurich

⁴ University of Stavanger