activity
20222026
most citedHuman Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

52 citations · 94 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2026

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7

Low-resolution infrared (IR) array sensors represent an interesting solution for privacy-preserving human sensing in embedded systems. In this letter, we describe a smart multi-pix…

cs.LG2024★ 1 cited

HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays

Matteo Risso, Chen Xie, Francesco Daghero +6

Low-resolution infrared (IR) array sensors enable people counting applications such as monitoring the occupancy of spaces and people flows while preserving privacy and minimizing e…

cs.LG2022★ 52 cited

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

Francesco Daghero, Alessio Burrello, Chen Xie +6

Human Activity Recognition (HAR) based on inertial data is an increasingly diffused task on embedded devices, from smartphones to ultra low-power sensors. Due to the high computati…

cs.LG2022★ 20 cited

Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors

Francesco Daghero, Chen Xie, Daniele Jahier Pagliari +6

Human Activity Recognition (HAR) is a relevant inference task in many mobile applications. State-of-the-art HAR at the edge is typically achieved with lightweight machine learning…

cs.LG2022

Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs

Chen Xie, Francesco Daghero, Yukai Chen +6

Low-resolution infrared (IR) array sensors offer a low-cost, low-power, and privacy-preserving alternative to optical cameras and smartphones/wearables for social distance monitori…