2025 SMSI Bannerklein

A4.1 - Boosting Energy Efficient Machine Learning in Smart Sensor Systems

Event
SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg
Band
Lectures
Chapter
A4 - Smart Sensors
Author(s)
J. Wissing, S. Scheele - Fraunhofer IIS, Erlangen (Germany)
Pages
53 - 54
DOI
10.5162/SMSI2023/A4.1
ISBN
978-3-9819376-8-8
Price
free

Abstract

Smart intelligent sensor systems are key for many application areas in the domain of ubiquitous computing like embedded autonomous systems, wireless sensor networks, internet of things and wearables. In this article, we provide an overview of recent approaches to improve the design, structure and deployment of machine learning methods for smart sensor systems in order to make them as lightweight and energy efficient as possible. The techniques considered cover both hardware and software perspectives.

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