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.