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Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images. (arXiv:2201.11197v1 [cs.CV])
cs.LG updates on arXiv.org arxiv.org
Computer Vision (CV) classifiers which distinguish and detect nonverbal
social human behavior and mental state can aid digital diagnostics and
therapeutics for psychiatry and the behavioral sciences. While CV classifiers
for traditional and structured classification tasks can be developed with
standard machine learning pipelines for supervised learning consisting of data
labeling, preprocessing, and training a convolutional neural network, there are
several pain points which arise when attempting this process for behavioral
phenotyping. Here, we discuss the challenges and corresponding opportunities …
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