New software allows nonspecialists to intuitively train machines using gestures

In each image of the HuTics custom data set, the users’ hands are visualized in blue and the object in green. HuTics is used to train a machine learning model. Credit: ©2022 Yatani and Zhou

Many computer systems that people interact with on a daily basis require knowledge about certain aspects of the world, or models, to work. These systems have to be trained, often needing to learn how to recognize objects from video or image data. This data frequently contains superfluous content that reduces the accuracy of models. So, researchers found a way to incorporate natural hand gestures into …

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