Using Data for Increased Realism with Haptic Modeling and Devices

This seminar examines data-driven methods for creating realistic haptic and multimodal interactions in virtual reality and mobile applications. It covers recording force, vibration, and sound data from physical interactions, modeling friction and texture, and using human preferences to tune haptic models.

Syllabus

Introduction.
HAPTOGRAPHY.
HAPTIC RECORDING DEVICE.
HAPTIC TEXTURE RECORDING PROCEDURE.
RECORDED DATA.
SOUND MODELING.
SYNTHESIZING A NEW SOUND OUTPUT.
OLD WAY: HAND TUNING MODELS.
NEW WAY: PREFERENCE-DRIVEN TUNING.
HAPTIC MODELS: FRICTION AND TEXTURE.
TEXTURE GENERATIVE MODEL.
PREFERENCE-DRIVEN MODELING FRAMEWORK.
TUNING TEXTURE MODELS.
REALISM OF MODELS.
ENCOUNTERED-TYPE HAPTIC DEVICE.
COMPARING TO TRADITIONAL RENDERING METHODS.
RESULTS: REALISM.
DATA-DRIVEN SOCIAL TOUCH.
EMOTION ACCURACY.
REAL-TIME TRANSMISSION OF TOUCH.
STUDYING EFFECT OF SPEED ON EMOTION.