Abstract
Our current research focuses on the investigation of new algorithmic paradigms for the data-driven generation of sensory feedback. The key notion is the collection of all relevant data characterizing an object as well as the interaction during a recording stage via multimodal sensing suites. The recorded data are then processed in order to convert the raw signals into abstract descriptors. This abstraction then also enables us to provide feedback for interaction which has not been observed before. We have developed a first integrated prototype implementation of the envisioned data-driven visuo-haptic acquisition and rendering system. It allows users to acquire the geometry and appearance of an object. In this chapter we outline the individual components and provide details on necessary extensions to also accommodate interaction scenarios involving deformable objects.
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Acknowledgements
This work was partly supported by the ImmerSence project within the 6th Framework Programme of the European Union, FET—Presence Initiative, contract number IST-2006-027141, see also www.immersence.info.
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Harders, M., Hoever, R., Pfeifer, S., Weise, T. (2012). Data-Driven Visuo-Haptic Rendering of Deformable Bodies. In: Peer, A., Giachritsis, C. (eds) Immersive Multimodal Interactive Presence. Springer Series on Touch and Haptic Systems. Springer, London. https://doi.org/10.1007/978-1-4471-2754-3_8
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DOI: https://doi.org/10.1007/978-1-4471-2754-3_8
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