Hyewon Jeong
Hyewon Jeong has 2 papers in the ChatPPG research atlas (2024), linked to 1 model and 9 co-authors in the atlas. Main topics: motion, accelerometer, contrastive, gait, ssl, har.
Papers
- RelCon: Relative Contrastive Learning for a Motion Foundation Model2024 · arXiv preprint
RelCon is a self-supervised method for training a motion foundation model from wearable accelerometers. It first learns a distance measure that captures motif similarity and rotation invariance, then trains the model on relative similarity across time and people. Trained on 1 billion segments from 87,376 participants, it set state-of-the-art results on tasks including activity recognition and gait metrics.
- Published: arXiv preprint, 2024
- Pretraining: 1 billion segments
- Cohort: 87,376 participants
- RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data2024 · ICLR 2025
RelCon is a self-supervised relative contrastive method for training a motion foundation model on wrist accelerometer data, published at ICLR 2025. It first learns a distance measure that captures motif similarity and rotation invariance, then trains the model on relative similarity across time and between people. Trained on 1 billion segments from 87,376 participants, it set state-of-the-art results on tasks including activity recognition and gait metric regression.
- Published: ICLR 2025
- Pretraining: 1 billion segments, 87,376 participants
- Signals: wrist accelerometer