Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-11-22 000000m 19:28:29 - Overview

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Attribute Current Content New
Name (Institute + Shorttitle)TST fall detection 
Description (include details on usage, files and paper references)It is composed of ADL (activity daily living) and fall actions simulated by 11 volunteers. The people involved in the test are aged between 22 and 39, with different height (1.62-1.97 m) and build. The actions performed by single person are separated in two main groups: ADL (Activity of Daily Living) and Fall. Each activity is repeated three times by each subject involved.

The stored data are:

- depth frames
- two raw acceleration streams, provided by SHIMMER devices connected to the waist and right wrist of the volunteer
- skeleton joints in depth and skeleton space
- time information useful for synchronization
The data base contains 264 di fferent actions for a total of 46k skeleton samples and 230k acceleration values. 
URL Linkhttp://www.tlc.dii.univpm.it/blog/databases4kinect 
Files (#)
References (SKIPPED)
Category (SKIPPED)fall detection - ADL 
Tags (single words, spaced)action recognition detection depth kinect wearable accelerometer human video 
Last Changed2017-11-22 
Turing (2.12+3.25=?) :-)