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News/Evaluating the Effect of Frame Rate in Sequence-Based Classification of Autism-Related Self-Stimulatory Hand Idiosyncrasies
arxiv
PublishedJuly 10, 2026 at 4:00 AM
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Evaluating the Effect of Frame Rate in Sequence-Based Classification of Autism-Related Self-Stimulatory Hand Idiosyncrasies

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Publisher summary· verbatim

arXiv:2607.07957v1 Announce Type: new Abstract: Autism spectrum disorder (ASD) affects over 75 million individuals worldwide, yet scalable computational methods for remote behavioral screening remain limited. This study addresses two complementary challenges in automated detection of autism-related

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Discussion
Mentioned models
04
  • 01
    LSTM
  • 02
    GRU
  • 03
    CNN
  • 04
    I3D
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#autism#machine learning#computer vision#healthcare

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Mentioned models
04
  • 01
    LSTM
  • 02
    GRU
  • 03
    CNN
  • 04
    I3D
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#autism#machine learning#computer vision#healthcare

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