TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices

Sizhen Bian, Mengxi Liu 0004, Vítor Fortes Rey, Daniel Geißler, Paul Lukowicz. TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices. In Michael Beigl, Sizhen Bian, Franca Delmastro, editors, Proceedings of the 2025 ACM International Symposium on Wearable Computers, ISWC 2025, Espoo, Finland, October 12-16, 2025. pages 163-169, ACM, 2025. [doi]

Abstract

Abstract is missing.