HRI30: An Action Recognition Dataset for Industrial Human-Robot Interaction
Authors/Creators
- 1. Istituto Italiano di Tecnologia and Politecnico di Milano
- 2. Politecnico di Milano
- 3. Istituto Italiano di Tecologia
Description
A thorough analysis of the existing human action recognition datasets demonstrates that only a few HRI datasets are available that target real-world applications, all of which are adapted to home settings. Therefore, given the shortage of datasets in industrial tasks, we aim to provide the community with a dataset created in a laboratory setting that includes actions commonly performed within manufacturing and service industries. In addition, the proposed dataset meets the requirements of deep learning algorithms for the development of intelligent learning models for action recognition and imitation in HRI applications.