iHEARu-PLAY, is a web-based multiplayer game for crowdsourced database collection and annotation. The platform offers audio, video, and image labelling for a diverse range of annotation tasks as well as audio-visual data collections. In addition, the platform ensures a high quality of annotations through an optimised data quality management, while the gamification aspect reduces the mental boredom of the annotators. Making use of the data quality management, user trustability-based machine learning algorithms are integrated resulting in an intelligent way of gathering annotations and at the same time reducing the manual annotation workload.
For more information, please visit the official iHEARu-PLAY platform:
https://www.ihearu-play.eu
Citing
If you use any code from iHEARu-PLAY in your research work, you are kindly asked to acknowledge the use of iHEARu-PLAY or its components in your publications.
S. Hantke, F. Eyben, T. Appel, and B. Schuller, "iHEARu-PLAY: "Introducing a game for crowdsourced data collection for affective computing." in Proceedings 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA 2015) held in conjunction with the 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), IEEE, Xi’an, P. R. China, 2015.
The research leading to iHEARu-PLAY has been supported by the European Community's Seventh Framework Programme under grant agreement No. 338164 (ERC Starting Grant iHEARu).
(C) 2018, published under GPL v3, please check the LICENSE.txt file for details. In case you have any questions, be kindly invited to contact Simone Hantke: Mail: contact@ihearu-play.eu
Thank you for your interest and reading this readme!