COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition

Baiyu Chen, Zechen Li, Flora D. Salim

Proc. ACM IMWUT 10· 2026
IMUDOI

Summary

Teacher/student-agnostic (video: VideoMAE, TimeSformer; time-series: MOMENT, Mantis). Reported to improve downstream egocentric HAR across several datasets, matching or beating fully supervised models, with strong cross-dataset generalisation.

Key facts

  • Venue: Proc. ACM IMWUT 10(2), published 2026-06-15 (CC BY 4.0); presented at UbiComp/ISWC 2026 (Shanghai, week of 2026-10-12)
  • Signals: accel, gyro
  • Form factor: head

Updated: Oct 12, 2026