Amy Lin
Papers
1
Total Citations
1
H-Index
1
About
Amy Lin is an emerging researcher at the intersection of animal behavior science and artificial intelligence, with a particular focus on applying machine learning techniques to understand non-human cognition and responsiveness. Her most notable work, "Understanding Dog Behavior through Visual and Auditory Sensing Using Machine Learning" (2023), represents a pioneering contribution to the field of computational animal ethology. In this study, Lin advances the methodology of behavioral analysis by collecting multi-modal data — combining both video and audio inputs — captured from a dog's egocentric perspective, a novel approach that distinguishes her work from prior research relying on single-modality observation. By modeling the association between a dog's reactions and its surrounding environmental stimuli, she bridges the gap between sensor technology, machine learning, and animal behavior research. Though early in her citation trajectory with 1 citation to date, Lin's interdisciplinary approach signals meaningful potential for impact across fields including human-animal interaction, assistive robotics, and veterinary science. Her work lays important groundwork for future researchers seeking to decode animal perception through an AI-driven lens.
Research Focus
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Top Papers
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