1. BuzzWatch: Uncovering Multi-scale Temporal Patterns in Mosquito Behavior Through Continuous Long-term Monitoring

    This article has 4 authors:
    1. Théo Maire
    2. Zhong Wan
    3. Louis Lambrechts
    4. Felix JH Hol
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This paper reports a useful low-cost platform for studying mosquito behaviors such as flight activity, sugar feeding, and host-seeking responses over the course of several weeks, and demonstrates key applications of this platform. While the authors provide a biological proof of principle, the evidence that supports the validation of the tracking algorithm is incomplete; it lacks biological replicates, independent confirmation of the tracking algorithm, and data on mosquito survival.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  2. ASBAR: an Animal Skeleton-Based Action Recognition framework. Recognizing great ape behaviors in the wild using pose estimation

    This article has 4 authors:
    1. Michael Fuchs
    2. Emilie Genty
    3. Klaus Zuberbühler
    4. Paul Cotofrei
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important study presents a new framework (ASBAR) that combines open-source toolboxes for pose estimation and behavior recognition to automate the process of categorizing behaviors in wild apes from video data. The authors present compelling evidence that this pipeline can categorize simple wild ape behaviors from out-of-context video at a similar level of accuracy as previous models, while simultaneously vastly reducing the size of the model. The study's results should be of particular interest to primatologists and other behavioral biologists working with natural populations.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 2 listsLatest version Latest activity
Previous Page 5 of 22 Next