├── README.md ├── Skeleton based efficient fall detection_Eextended_Summary.pdf └── skeleton.rar /README.md: -------------------------------------------------------------------------------- 1 | # Fall-Detection-Dataset 2 | FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age. A total of 1008 depth videos and 3D coordinates (x, y, z) of 20 joints were recorded in total (6 actions × 8 repeat × 21 subjects). Each video duration is recorded as approximately 4-5 seconds, 320 × 240 resolution and 30 frames per second depending on the action feature. 3 | 4 | Dataset depth video size is about 7.5GB. Therefore, the dataset is not loaded. Dataset can be downloaded from the link below 5 | 6 | Download link 7 | 8 | https://bingol-my.sharepoint.com/:u:/g/personal/muzafferaslan_bingol_edu_tr/EQDUT1cQd5ZAk9kJWadtIEQBRVXKFLvpGcAhMZxsx7HiFw?e=Tx0WzG 9 | 10 | 11 | Please Citeation 12 | 13 | Aslan M., Akbulut Y., Sengor A., CevdetInce M. "Skeleton based efficient fall detection", 14 | J. Faculty Eng. Architecture Gazi Univ., 32 (4) (2017), pp. 1025-1034. 15 | (DOI: 10.17341/gazimmfd.369347), 16 | 17 | https://dergipark.org.tr/download/article-file/388197. 18 | -------------------------------------------------------------------------------- /Skeleton based efficient fall detection_Eextended_Summary.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MuzafferAslan23/Fall-Detection-Dataset/cf78569d27899385ef721266dea749fb73330df9/Skeleton based efficient fall detection_Eextended_Summary.pdf -------------------------------------------------------------------------------- /skeleton.rar: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MuzafferAslan23/Fall-Detection-Dataset/cf78569d27899385ef721266dea749fb73330df9/skeleton.rar --------------------------------------------------------------------------------