Lydia Rockers

Researcher

University of Arkansas at Fayetteville

unknown

2 h-index 2 pubs 14 cited

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Biography and Research Information

OverviewAI-generated summary

Lydia Rockers' research investigates the application of advanced computational techniques to address complex health and behavioral challenges. Her recent work includes the development of video-based autism detection systems utilizing deep learning methodologies. Rockers also studies emotional responses, specifically examining the effects of different response conditions on emotions evoked by food images, as measured by the Valence × Arousal Circumplex-Inspired Emotion Questionnaire (CEQ).

Her scholarly output, while nascent, reflects a focus on interdisciplinary approaches that bridge technology and human well-being. Rockers has a h-index of 2 and has published 2 papers, accumulating 14 citations. She collaborates with researchers at the University of Arkansas at Fayetteville, including Han‐Seok Seo, Xuan-Bac Nguyen, Khoa Luu, and Asmita Singh, on shared publications.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 14

Selected Publications

  • Video-Based Autism Detection with Deep Learning (2024) DOI
  • The Effect of Response Conditions on Food Images-Evoked Emotions Measured Using the Valence × Arousal Circumplex-Inspired Emotion Questionnaire (CEQ) (2023) DOI

Collaborators

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