sensor-tokenization

STELLA is an efficient sensor-to-LLM translation framework for on-device human activity recognition that compresses multi-channel inertial sensor data into compact latent tokens, achieving new state-of-the-art performance across seven public HAR datasets while supporting on-device personalization and real-time inference.