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Yoshimasa Ohmoto

Biographic Data

ID7966178
NAMEYoshimasa Ohmoto
GIVEN NAMESYoshimasa
FAMILY NAMEOhmoto
SIGNATUREOHMOTO Y
AFFILIATIONSShizuoka University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Acoustic features of emotional expression in 5-year-old children with autism spectrum disorder

    Open Access•Daichi Okuizumi, Kazunori Terada et al.•ARTICLE•Frontiers in Psychiatry•2025

    By focusing on the relationship between acoustic features and emotional expression setting and by restricting the age of participants, our results demonstrate the trend of acoustic features in children with ASD. To deepen the understanding of the relationship between f0 and emotion, future studies investigating prosody in a range of emotional expression settings are needed

  • Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait

    Open Access•Yoshimasa Ohmoto, Kazunori Terada et al.•ARTICLE•Frontiers in Psychiatry•2024

    Results indicate the effectiveness of evaluating movement in OLST by using movies and machine learning for predicting high autistic trait. In addition, they emphasize the significance of specifically focusing on shoulder and waist movements, which facilitate the efficient predicting high autistic trait. Finally, studies incorporating a broader range of balance cues are necessary to comprehensively determine the effectiveness of utilizing balance …

  • Real-time system for measuring gaze direction and facial features

    Open Access•Yoshimasa Ohmoto, Kazuhiro Ueda et al.•ARTICLE•AI & Society•2009

No prominent works on this page.

  • Real-time system for measuring gaze direction and facial features

    Open Access•Yoshimasa Ohmoto, Kazuhiro Ueda et al.•ARTICLE•AI & Society•2009

  • Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait

    Open Access•Yoshimasa Ohmoto, Kazunori Terada et al.•ARTICLE•Frontiers in Psychiatry•2024

    Results indicate the effectiveness of evaluating movement in OLST by using movies and machine learning for predicting high autistic trait. In addition, they emphasize the significance of specifically focusing on shoulder and waist movements, which facilitate the efficient predicting high autistic trait. Finally, studies incorporating a broader range of balance cues are necessary to comprehensively determine the effectiveness of utilizing balance …

  • Acoustic features of emotional expression in 5-year-old children with autism spectrum disorder

    Open Access•Daichi Okuizumi, Kazunori Terada et al.•ARTICLE•Frontiers in Psychiatry•2025

    By focusing on the relationship between acoustic features and emotional expression setting and by restricting the age of participants, our results demonstrate the trend of acoustic features in children with ASD. To deepen the understanding of the relationship between f0 and emotion, future studies investigating prosody in a range of emotional expression settings are needed

Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Autism (2 works) · Autism spectrum disorder (2 works) · Autism Spectrum Disorder Research (2 works) · Developmental psychology (2 works) · Audiology (1 work) · Cerebral Palsy and Movement Disorders (1 work) · Child and Animal Learning Development (1 work)

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