When side-channel attacks break the black-box property of embedded artificial intelligence

B Coqueret, M Carbone, O Sentieys… - Proceedings of the 16th …, 2023 - dl.acm.org
Artificial intelligence, and specifically deep neural networks (DNNs), has rapidly emerged in
the past decade as the standard for several tasks from specific advertising to object …

Wireless wearable sensor paired with machine learning for the quantification of tissue oxygenation

JP Cascales, DA Greenfield… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The accurate knowledge of tissue oxygenation can be decisive for diagnostic applications in
burns, limb injuries, and surgical interventions. Medical devices created for oxygenation …

Smart food waste management: embedded machine learning vs cloud based solutions

R Zingg, P Andermatt… - … smart cities and …, 2021 - digitalcollection.zhaw.ch
In Switzerland, 2.8 million tons of food are lost or wasted across all stages of food production-
every year. This equates to approximately 330 kg of food waste per person. By analysing …

Simulation of machine learning inferences in real-time operating system to improve direction finding in an embedded environment

N Nizharadze, M Mahlig, T Merk - 2023 13th International …, 2023 - ieeexplore.ieee.org
Bluetooth Low Energy (BLE) offers an inexpensive low-power technology for precise indoor
positioning. However, multipath propagation and signal scattering deteriorate localization …

A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification

T Addabbo, E Landi, R Moretti, L Parri… - … on Metrology for …, 2023 - ieeexplore.ieee.org
This paper discusses the development of wearable devices for monitoring vibrations
induced on the hand-arm system, and the challenges involved in modifying measurement …

MicroAI: embedded artificial intelligence for human activity recognition on smart glasses

PE Novac - 2022 - theses.hal.science
With the growth of the senior population, elderly care becomes an important topic in the
society. One aspect of elderly care is fall prevention, which is still a challenging task …

MicroIA: intelligence artificielle embarquée pour la reconnaissance d'activités physiques sur lunettes intelligentes

PE Novac - 2022 - theses.fr
Le vieillissement de la population pose de nouveaux défis à notre société en termes de
services de soins aux personnes âgées. L'un des aspects est la prévention de la chute, dont …