Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.
- Form factor
- Head
- Signals
- IMU, Video
- License
- MIT
- Type
- Task model
- Form factor
- Head
- Parameters
- Not reported
- Architecture
- Not reported
- Venue
- Not reported
- Year
- Not reported
- arXiv
- Not reported
- DOI
- Not reported
- Weights
- Not released
- Licence
- MIT (opens in a new tab)
- Caveats
- Not reported
- Datasets
- Not reported
- Added
- Oct 19, 2026
- Updated
- Oct 19, 2026
Original description
The /dataset folder contains the train, val, and test splits for each dataset, along with our preprocessing scripts. Specifically, ego4d_subset_ids.txt is a subset of all available IMU-containing IDs, which we obtained by applying the official Ego4D filter from their website. This represents the complete subset of data that we can access.
There's a lot of outstanding work on time-series and human activity recognition! Here's an incomplete list. Checkout Table 1 in our paper for IMU-based Human Activity Recognition comparisons with these studies:
If you find this repository useful for your research, please consider citing our paper:
Verbatim fromGitHub· Description from the repository README; licence: MIT
How it works
- Inputs
- IMU, Video
- Approach
- code release · no weights
Datasets
Papers· 1
Cite
APA
COMODO. (n.d.).
BibTeX
@misc{comodocomodo,
title = {{COMODO}}
}Built from the hub record. Check it against the publisher before submitting.
History
Added to the ChatPPG research hub