Researchers from Yonsei University in South Korea and the Swiss Federal Institute of Technology Lausanne have released a dataset of 13,000 videos to improve the ability of AI to recognize human emotions. The researchers annotated the clips, which are from television shows such as Friends, according to seven emotion categories, including happy, disgust, and neutral. The researchers also released a dataset of 70,000 annotated images from the video dataset.
Improving the Ability of AI Systems to Recognize Human Emotion
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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