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      JAABA: interactive machine learning for automatic annotation of animal behavior.

      Nature Methods

      growth & development, Mice, Artificial Intelligence, Behavior, Animal, Diagnosis, Computer-Assisted, methods, Drosophila melanogaster, Larva, Algorithms, Animals

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          Abstract

          We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. These manual labels are converted into classifiers that can automatically annotate behaviors in screen-scale data sets. Our general-purpose system can create a variety of accurate individual and social behavior classifiers for different organisms, including mice and adult and larval Drosophila.

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          Journal
          23202433
          10.1038/nmeth.2281

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