Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

ACM Transactions on Embedded Computing Systems (TECS), 2022

2 September 2022

Daniele Jahier Pagliari

BDL

HAI

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Papers citing "Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks"

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-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition

Mishal Fatima

Shashank Agnihotri

Marius Bock

Kanchana Vaishnavi Gandikota

Kristof Van Laerhoven

Michael Moeller

Margret Keuper

154

26 Sep 2025

Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications

450

20 Aug 2025

DiTMoS: Delving into Diverse Tiny-Model Selection on MicrocontrollersAnnual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2024

208

14 Mar 2024

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-dronesDesign, Automation and Test in Europe (DATE), 2024

Beatrice Alessandra Motetti

Luca Crupi

Mustafa Omer Mohammed Elamin Elshaigi

Matteo Risso

Daniele Jahier Pagliari

Daniele Palossi

Luca Bompani

225

26 Jan 2024

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge NodesIEEE Internet of Things Journal (IEEE IoT J.), 2023

Daniele Jahier Pagliari

179

16 Jun 2023