Using Data for Increased Realism with Haptic Modeling and Devices

Learn about cutting-edge haptic technology and data-driven approaches to creating realistic touch sensations in this Stanford seminar. Explore the process of haptography, including recording textures with specialized devices and synthesizing new haptic outputs. Discover how preference-driven modeling and machine learning techniques are revolutionizing haptic model tuning, surpassing traditional hand-tuned methods. Examine the development of encountered-type haptic devices and their advantages over conventional rendering methods. Delve into the fascinating world of data-driven social touch, investigating emotion accuracy in touch communication and the real-time transmission of tactile sensations. Gain insights into ongoing research on the relationship between touch speed and emotional conveyance in this comprehensive 56-minute presentation on advanced haptic modeling and devices.