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

Stand: 2020-02-26 000000m 19:35:34 - Overview

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Name (Institute + Shorttitle)ISR-UoL 3D Social Activity Dataset 
Description (include details on usage, files and paper references)This is a social interaction dataset between two subjects. This dataset consists of RGB and depth images and tracked skeleton data (i.e. joints 3D coordinates and rotations) acquired by an RGB-D sensor. It includes 8 social activities: {handshake, greeting hug, help walk, help stand-up, fight, push, conversation, call attention}. Each activity was recorded in a period around 40 to 60 seconds of repetitions within the same session at a frame rate of 30 frames per second. The only exceptions are "help walking" (at a short distance) and "help stand-up", which were recorded 4 times to the same session, regardless of the time spent on it.

The activities were selected to address the assisted living scenario (e.g. happening in a healthcare environment: help walking, help stand-up and call attention), with potential harm situations, such as aggression (e.g. fighting, pushing), and casual activities of social interactions (e.g. handshake, greeting hug and conversation). The activities were performed by 6 persons, 4 males and  2 females with an average age of  29 years old, from different nationalities (Italian, Brazilian and Portuguese). A total of 10 different combinations of individuals (or sessions) were performed, with a variation of the roles (active or passive person) between the subjects. Each subject has participated at least with 3 combinations, acting each role at least once. Half of the recorded sessions have been performed by a pair of persons whom never met before the interaction, This was done in order to increase the generalization of the study regarding individual behaviour.

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References (SKIPPED)
Category (SKIPPED)Activity Recognition 
Tags (single words, spaced)Social, Activity, Interaction, Human, Indoor, Skeleton, RGBD, ROS action 
Last Changed2020-02-26 
Turing (2.12+3.25=?) :-)