@inbook {HB08-1, title = {The Sense of Touch and its Rendering: Progresses in Haptics Research}, series = {Springer Tracts in Advanced Robotics (STAR)}, volume = {45/2008}, year = {2008}, pages = {39 - 60}, publisher = {Springer}, organization = {Springer}, type = {Chapter}, chapter = {The Role of Tactile Flow in Processing Dynamic Haptic Stimuli}, address = {Berlin, Heidelberg}, abstract = {

Dynamic stimuli in visual and tactile sensory modalities share fundamental psychophysical features that can be explained by similar computational models. In vision, information about relative motion between objects and the observer are mainly processed by optic flow, which is a 2D field of velocities associated with variation of brightness patterns in the image plane. It provides important information about cues for region and boundary segmentation, shape recovery, and so on. For instance, radial patterns of optic flow are often used to estimate time before contact with an approaching object. We put forward the hypothesis that a similar behavior can be present in the tactile domain, in which an analogous paradigm to optic flow might exist. Moreover, as optic flow is also invoked to explain several visual illusions, including the well-known "barber-pole" effect and Ouchi

}, keywords = {Haptics, Robotics}, author = {E. P. Scilingo and N. Sgambelluri and A. Bicchi}, editor = {A. Bicchi and M. Buss and M. Ernst and A. Peer} } @inbook {HB08-2, title = {The Sense of Touch and its Rendering: Progresses in Haptics Research}, series = {Springer Tracts in Advanced Robotics (STAR)}, volume = {45/2008}, year = {2008}, pages = {155-178}, publisher = {Springer}, organization = {Springer}, type = {Chapter}, chapter = {Rheological Device}, address = {Berlin, Heidelberg}, abstract = {

In this work we investigate the possibility of mimicking haptic perception by using rheological materials. An analysis of the rheological behaviour of some "smart fluids", such as Electro-rheological Fluids (ERFs) and Magneto-rheological Fluids (MRFs), is provided to design new haptic interfaces capable of reproducing shape and compliance of some virtual objects. Some theoretical design considerations are discussed and supported by magnetic simulations implemented by means of a numerical code. Several prototypes were designed and realized through a progressive enhancement of performance up to a final 3D immersive device. Furthermore, to assess performance a set of psychophysical tests was carried out and experimental results in terms of softness and shape recognition are reported.

}, keywords = {Haptics, Robotics}, author = {N. Sgambelluri and E. P. Scilingo and R. Rizzo and A. Bicchi}, editor = {A. Bicchi and M. Buss and M. Ernst and A. Peer} } @article {VHTRTZGCSSGPSBPDRL08, title = {Sensing Glove for Brain Studies: Design and assessment of its Compatibility for fMRI with a Robust Test}, journal = {IEEE - ASME Transactions on Mechatronics}, volume = {13}, number = {3}, year = {2008}, pages = {345-354}, abstract = {

In this paper, we describe a biomimetic-fabric-based sensing glove that can be used tomonitor hand posture and gesture. Our device is made of a distributed sensor network of piezoresistive conductive elastomers integrated into an elastic fabric. This solution does not affect natural movement and hand gestures, and can be worn for a long time with no discomfort. The glove could be fruitfully employed in behavioral and functional studies with functional MRI (fMRI) during specific tactile or motor tasks. To assess MR compatibility of the system, a statistical test on phantoms is introduced. This test can also be used for testing the compatibility of mechatronic devices designed to produce different stimuli inside the MR environment. We propose a statistical test to evaluate changes in SNR and time-domain standard deviations between image sequences acquired under different experimental conditions. fMRI experiments on subjects wearing the glove are reported. The reproducibility of fMRIresults obtained with andwithout the glove was estimated. A good similarity between the activated regions was found in the two conditions.

}, keywords = {Haptics, Robotics}, author = {N. Vanello and V. Hartwig and M. Tesconi and E. Ricciardi and A. Tognetti and G. Zupone and R. Gassert and D. Chapuis and N. Sgambelluri and E. P. Scilingo and G. Giovannetti and V. Positano and M. F. Santarelli and A. Bicchi and P. Pietrini and D. De Rossi and L. Landini} }