Published May 13, 2019
| Version v3
EndoMondo / FitRec Fitness Tracking Data
Description
Description
EndoMondo / FitRec Datasets captures workout logs collected by Julian McAuley's lab (University of California San Diego): sequential sensor data from EndoMondo users, including heart rate, speed, GPS, sport type, gender, and weather conditions. It includes anonymized user IDs, workout IDs, latitude/longitude/altitude sequences with timestamps, heart rate sequences, and derived sequences, available across 1,104 users and 253,020 workouts.
Please cite the following if you use the data:
Modeling heart rate and activity data for personalized fitness recommendation
Jianmo Ni, Larry Muhlstein, Julian McAuley
WWW, 2019
DOI: https://doi.org/10.1145/3308558.3313643
Details
| Resource type | Open dataset |
| Title | EndoMondo / FitRec Fitness Tracking Data |
| Creators |
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| Publisher | University of California San Diego |
| Year of publication | 2019 |
| Research fields | Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Business Administration Other |
| Companies | EndoMondo |
| Size | 2.9 GB |
| Formats | JSON format (.json) |
| External resource | https://cseweb.ucsd.edu/~jmcauley/datasets/fitrec.html |
Additional details
Related works
- Is cited by
- Journal article: 10.1109/JBHI.2022.3185418 (DOI)
- Is described by
- Conference paper: 10.1145/3308558.3313643 (DOI)