Table 2.
URL from which the traces can be downloaded and file format of the dataset.
| Dataset | URL (Available on 28 March 2017) | File Type |
|---|---|---|
| DLR | http://www.dlr.de/kn/en/desktopdefault.aspx/tabid-8500/14564_read-36508/ | 2 Matlab files containing 1 matrix per subject and trial |
| MobiFall MobiAct | http://www.bmi.teicrete.gr/index.php/research/mobiact | 1 text file (with comma-separated values) per subject, activity and trial |
| TST Fall detection | http://www.tlc.dii.univpm.it/blog/databases4kinect | 1 binary file per subject, activity and trial |
| tFall | http://eduqtech.unizar.es/fall-adl-data/ | 1 file (extension .dat) with comma-separated values per subject, activity and trial |
| UR Fall Detection | http://fenix.univ.rzeszow.pl/~mkepski/ds/uf.html | 1 CSV file per subject, activity and trial |
| Cogent Labs | http://cogentee.coventry.ac.uk/datasets/fall_adl_data.zip | 1 text file (with comma-separated values) per subject including all the experiments |
| Gravity Project | https://github.com/SINTEF-SIT/project_gravity | 1 json file per subject, activity and trial |
| Graz | https://figshare.com/articles/Dataset_for_Mobile_Phone_Sensing_Based_Fall_Detection/1444405 | 1 SQLite database with 13 tables |
| UMAFall |
https://figshare.com/articles/UMA_ADL_FALL_Dataset_zip/4214283 http://webpersonal.uma.es/de/ECASILARI/Fall_ADL_Traces/UMA_FALL_ADL_dataset.html |
1 CSV file per subject, activity and trial |
| SisFall | http://sistemic.udea.edu.co/en/investigacion/proyectos/english-falls/ | 1 text file (with comma-separated values) per subject and activity type (ADL or fall) |
| UniMiB SHAR | http://www.sal.disco.unimib.it/technologies/unimib-shar/ | 3 Matlab files with the traces, the activity label and name of the activity |