activity
20242026
collaborators

7 papers

cs.RO2026

An Interpretable Deep Learning Framework for Material Perception and Classification from Multisensory Tactile Data

Li Zou, Dave Hogendoorn, Yasemin Vardar

Human tactile perception relies on complex multisensory cues. Yet the relationship between tactile signals and perceptual representations remains poorly understood, limiting the in…

cs.HC2026

Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models

Jagan K. Balasubramanian, Yasemin Vardar

Modern audio-visual media rely on compact representations for efficient storage and transmission, whereas realistic digital touch still depends on high-resolution tactile recording…

cs.RO2026

Learning to Feel Materials from Multisensory Tactile Data via Interpretable Models

Li Zou, Yasemin Vardar

Human tactile perception of materials relies on complex multisensory touch cues, yet the relationship between low-level tactile signals and perceptual representations remains poorl…

cs.HC2026

Why Modeling Human Haptic Material Perception with AI Is Difficult

Yasemin Vardar

Touch plays a central role in how humans perceive and recognize materials through physical contact. Despite decades of research, the mechanisms by which tactile signals are transfo…

cs.HC2025

Sliding Speed Influences Electrovibration-Induced Finger Friction Dynamics on Touchscreens

Jagan K Balasubramanian, Daan M Pool, Yasemin Vardar

Electrovibration technology enables tactile texture rendering on capacitive touchscreens by modulating friction between the finger and the screen through electrostatic attraction f…

eess.SY2024

FITS: Ensuring Safe and Effective Touchscreen Use in Moving Vehicles

Daan M. Pool, Yasemin Vardar

Touch interfaces are replacing physical buttons, dials, and switches in the new generation of cars, aircraft, and vessels. However, vehicle vibrations and accelerations perturb fin…