THU-HRIA dataset(Human-Robot Interactive Action Dataset From The Perspective Of Service Robot)

Most of the existing human action datasets are common human actions in daily scenes（e.g. NTU RGB+D series, Kinetics series）, not created for Human-Robot Interaction(HRI), and most of them are not collected based on the perspective of the service robot, which can not meet the needs of vision-based interactive action recognition. This dataset is named as “Human-Robot Interactive Action Dataset From The Perspective Of Service Robot (THU-HRIA dataset) “ ,which is created for indoor service robot action interaction, collected by Tsinghua University. THU-HRIA Dataset uses a kinectV2 as multimodal sensor data collector, which can collect  RGB, infrared, depth, bodypoints and other forms of data. In terms of specific content, the THU-HRIA dataset includes 8 common actions in both daily restaurant scene and robot interactive scene, totally 576 action samples. The eight action classes are: 1- waving ; 2- calling gesture; 3- beckoning; 4- stepping back; 5-eating; 6- pass by; 7-fall; 8:using phone. For each action, we set different specifications like distance, situation and repetition. Please see the description for more details.