Buttonless Remote Control with TinyML - Build a Gesture-Based Device Controller

Learn how to create a buttonless remote control system using TinyML in this technical talk featuring experts from Neuton.AI and Silicon Labs. Explore the development of compact neural networks for recognizing complex hand gestures with minimal memory and energy consumption on edge devices. Discover how to implement a universal gesture-based remote control system that can interface with Bluetooth-enabled media systems and presentation slides without physical contact. Master the implementation of Neuton's Gesture Recognition Model on Silicon Labs xG24 Dev Kit, capable of recognizing eight distinct gestures with 99% accuracy while maintaining a tiny footprint of only 4.2KB Flash and 1.4KB RAM. Dive deep into the solution creation process, explore various TinyML use cases, and gain insights into Silicon Labs' product offerings for implementing gesture-based control systems in resource-constrained environments.