Human Health Analysis: Edge Machine Learning for Wearable Health Monitoring

Watch a 14-minute conference talk from the tinyML Summit 2023 exploring how edge machine learning is revolutionizing human health wearables. Learn about the challenges of processing, power, and connectivity in small wearable devices and discover how tinyML offers solutions by enabling on-device data processing and analysis. Explore real-world applications from companies like Oura, Know Labs, and Nowatch that demonstrate the potential of edge ML in health monitoring, from sleep pattern analysis to blood glucose monitoring and stress level sensing. Understand the data-centric approach needed to develop optimized algorithms that can effectively utilize specific processor and sensor architectures in wearable devices. Gain insights into how eliminating cloud-based processing enhances data privacy and security while maintaining ultra-compact mobility and providing real-time health analysis.