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About Detection of Eye Contact With Deep Neural Networks Is As Accurate As Human Experts
The document describes a study that developed a deep neural network model to automatically detect eye contact in egocentric video with an accuracy equivalent to human experts. The neural network was trained on a dataset of over 4 million annotated images of 103 subjects, including those with Autism Spectrum Disorder. The network achieved a precision of 0.936 and recall of 0.943, performing as well as 10 human coders, in identifying moments of eye contact from video recorded by glasses with a camera. This demonstrates that deep learning can produce automated coding of eye contact reliability comparable to humans.
Detailed Information
| Author: | ['Zaidggg ggg Ggit'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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