Yasemin Vardar
Papers
3
Total Citations
37
H-Index
3
About
Yasemin Vardar is a leading researcher in the field of haptics and tactile perception, with a focus on understanding how the human brain interprets touch during natural interactions. Her work bridges the gap between physical finger-surface dynamics and the abstract perceptual representations that underlie texture recognition. In her highly cited 2022 paper, "Learning to Feel Textures," Vardar pioneered methods to predict perceptual similarities from unconstrained finger movements, shedding light on how sensory information is aggregated to form texture percepts—a contribution that has garnered 27 citations and is foundational for future haptic technologies. She further expanded this line of inquiry with the SENS3 database (2024), a multisensory resource capturing finger-surface interactions and corresponding sensations, providing an invaluable tool for the community. In applied domains, Vardar has designed and evaluated a multi-finger skin-stretch tactile interface for hand rehabilitation robots, demonstrating how tactile feedback can enhance motor control in neurorehabilitation. Her work not only advances fundamental science but also translates into tangible improvements in assistive robotics, making her a pivotal figure in haptics research.
Research Focus
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Top Papers
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