Adaptive TinyML with Shift-Aware Routing for Human Activity Recognition Under Distribution Shifts
Human activity recognition (HAR) on wearable and mobile devices requires models that can operate with limited computational resources while remaining reliable under changing real-world sensing conditions. However, most TinyML-based HAR systems follow the same computational path for every input, regardless of whether an...