Sensing Applications as a Driver for TinyML Solutions

Explore the intersection of sensing applications and TinyML solutions in this 27-minute conference talk from the tinyML Summit 2022. Delve into how new generations of sensors with microcontrollers and computing capabilities enable local machine learning in ultra-low power contexts. Discover examples and use cases in motion learning, sports analytics, and environmental sensing using intelligent Micro-Electro-Mechanical Systems (MEMS). Learn about the importance of incorporating domain knowledge into ML for optimizations in memory footprint, signal processing, and algorithm selection. Gain insights into emerging TinyML ecosystems and platforms, and understand how various communities can contribute to this field. The talk covers topics such as smart sensors, swimming applications, gas sensing, domain knowledge integration, and Arduino-based projects, providing a comprehensive overview of the current state and future potential of TinyML in sensing applications.

Intro
Context
Smart Sensors
What does it mean for you
Why would you want to do that
Examples
Swimming
Preconfigured Patterns
Gas Sensing
Raw Data
New Opportunities
Domain Knowledge
Table Tennis
Arduino
BME 68080
Community
Questions
Sponsors