In the HEART-MET Activity Recognition Challenge, the task is to recognize human activities from videos. The videos are recorded from robots operating in a domestic environment and include activities such as reading a book, drinking water, falling on the floor, etc.
HEART-MET is one of the competitions in the METRICS project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 871252. The competition aims to benchmark assistive robots performing healthcare-related tasks in unstructured domestic environments.
Activity recognition is an important skill for a robot that is operating in an assistive capacity for persons who may have care needs. In addition to recognizing daily living activities, it is important for the robot to detect activities or events in which the robot may need to offer help or call for assistance. The datasets for this challenge are collected from real robots performing activity recognition in domestic environments with several different volunteers performing the activities.
In order to participate:
- Create an account on Codalab: https://codalab.lisn.upsaclay. en/
- Join the Activity recognition challenge: https://codalab.lisn.upsaclay.fr/competitions/8189
- Download the datasets provided in the link on Codalab
- Submit results for the validation/test set on Codalab
Please, visit the page https://codalab.lisn.upsaclay.fr/competitions/8189 for further details.
17.10.2022 – Start of competition
17.11.2022 – Start of test phase of Codalab stage
23.11.2022 – End of Codalab stage
30.11.2022 – Deadline for submission of code and report
03.12.2022 – Winners of the Codalab stage are announced
The winner of this challenge will be given a chance to participate in the workshop of ICSR2022 entitled “Evaluating Social Assistive Robots in Healthcare”. Also, the ICSR2022 registration fee will be provided.