| Subject | Computer Vision and Pattern Recognition |
| Specific subject area | Human Fall Detection in Indoor Videos |
| Type of data | Raw Video (mp4), Text files (csv) |
| Data collection | The video dataset clips were captured using the integrated webcam of the HP 348 G5 laptop. The details are given below:
|
| Data source location | Department of Computer Science and Application, Gour Mahavidyalaya, Malda, India. |
| Data accessibility | Repository name: ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos: 2.1 Data identification number: 10.5281/zenodo.13354453 Direct URL to data: https://doi.org/10.5281/zenodo.13354453 |
| Related research article | Alam, E., Sufian, A., Dutta, P., & Leo, M. (2023). Real-Time human fall detection using a lightweight pose estimation technique. In International Conference on Computational Intelligence in Communications and Business Analytics (pp. 30–40). Cham: Springer Nature Switzerland. |
Official websites use .gov
A
.gov website belongs to an official
government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you've safely
connected to the .gov website. Share sensitive
information only on official, secure websites.