15399151
Sonic interaction design: sound, information and experience
Sonic Interaction Design (SID) is an emerging field that is positioned at the intersection of auditory display, ubiquitous computing, interaction design, and interactive arts. SID can be used to describe practice and inquiry into any of various roles that sound may play in the interaction loop between users and artifacts, services, or environments, in applications that range from the critical functionality of an alarm, to the artistic significance of a musical creation. This field is devoted to the privileged role the auditory channel can assume in exploiting the convergence of computing, communication, and interactive technologies. An over-emphasis on visual displays has constrained the development of interactive systems that are capable of making more appropriate use of the auditory modality. Today the ubiquity of computing and communication resources allows us to think about sounds in a proactive way. This workshop puts a spotlight on such issues in the context of the emerging domain of SID.
40071496
tacTilesfor Ambient Intelligence and Interactive Sonification
In this paper we introduce tacTiles, a novel wireless modular tactile sensitive surface element attached to a deformable textile, designed as a lay-on for surfaces such as chairs, sofas, floor or other furniture. tacTilescan be used as interface for human-computer interaction or ambient information systems. We give a full account on the hardware and show applications that demonstrate real-time sonification for process monitoring and biofeedback. Finally we sketch ideas for using tacTiles paired with sonification for interaction games.
944953
The Sonification of Rhythms in Human Electroencephalogram
We use sonification of temporal information extracted from scalp EEG to characterize the dynamic properties of rhythms in certain frequency bands. Sonification proves particularly useful in the simultaneous monitoring of several EEG channels. Our results suggest sonification as an important tool in the analysis of multivariate data with subtle correlation differences.
1385818
Gestural Interactions for Multi-parameter Audio Control and Audification
This paper presents an interactive multi-modal system for real-time multi-parametric gestural control of audio processing applications. We claim that this can ease the use / control of different tasks and for this we present the following as a demonstration: (1) A musical application, i.e. the multi-parametric control of digital audio effects, and (2) a scientific application, i.e. the interactive navigation of audifications. In the first application we discuss the use of PCA-based control axes and clustering to obtain dimensionality reduced control variables. In the second application we show how the tightly closed human-computer loop actively supports the detection and discovery of features in data under analysis.
5897687
Polyrhythmic organization of coupled nonlinear oscillators
We study the rhythmic organization of coupled nonlinear oscillators. If oscillators with non-identical internal frequency are coupled, they generate a great variety of periodic and chaotic rhythmic patterns. Sonification of these patterns suggests their characterization in terms of polyrhythms: each oscillatory unit subdivides "measures" of equal or varying length differently. For the case of two coupled oscillators, the organization of these polyrhythms is exemplified as a function of the internal frequency ratio and the coupling strength. Some sonification strategies are presented which aid to detect complex rhythmic relationships between oscillators. The results may be of importance for the analysis of complex multivariate time series like human EEG.
36348317
Identification of discriminative features in the EEG
An important step for the correlation of EEG signals with cognitive processes is the identification of discriminative features in the EEG signal. In this paper we utilize independent component analysis (ICA) for feature extraction and selection. Our specific ICA technique is based on a nonparametric source representation which in particular allows for modelling of multimodal feature distributions as generally required for the analysis of mixed data from different experiment conditions. To demonstrate the potential of the resulting ICA feature selection scheme we report results from an analysis of psycholinguistic experiments on the discrimination of speech perception from perception of so-called pseudo speech signals and demonstrate how the obtained ICA features can be further analyzed with the technique of sonification. Our results correlate well with results from coherence analysis and strongly indicate that these new methods are well suited for uncovering cognitively relevant features in EEG signals.
23819859
Curve and surface design: H. Hagen (Ed.) SIAM, USA (1992), 219 pp, ISBN 089871-281-5
42941157
On a tolerance problem of parametric curves and surfaces
Abstract This paper gives bounds for the moduli of continuity of parametric curves and surfaces.
35470477
A new insight into the Gn continuity of polynomial surfaces
Abstract A theorem of Degen describes the structure of G 1 and G 2 connection between two polynomial surfaces. This is based on common vector polynomials and an irreducibility condition of one of these vector functions related to the common boundary. In this paper Degen's results are reformulated, a new proof and a new interpretation is given which makes it possible to generalize the previous results to G n continuity. Surprisingly, in case of G n continuity, there is no need to add further conditions than for the G 1 G 2 cases, still exists a common G n continuous polynomial virtual patch with polynomial reparametrizations.
39788442
Best Fit Surface Curvature at Vertices of Topologically Irregular Curve Networks
128210111
NURBS for curve and surface design: G. Farin(Ed.) SIAM, 1991, 161 pp, ISBN 0-89871-286-6