Sunghoon Lee

Bio-Inspired Self-Supervised Learning for Wrist-worn IMU Signals

Wearable accelerometers have enabled large-scale health and wellness monitoring, yet learning robust human-activity representations has been constrained by the scarcity of labeled data. While self-supervised learning offers a potential remedy, existing approaches treat sensor streams as unstructured…