12168310
Hand Postures for Sonification Control
Sonification is a rather new technique in human-computer interaction which addresses auditory perception. In contrast to speech interfaces, sonification uses non-verbal sounds to present information. The most common sonification technique is parameter mapping where for each data point a sonic event is generated whose acoustic attributes are determined from data values by a mapping function. For acoustic data exploration, this mapping must be adjusted or manipulated by the user. We propose the use of hand postures as a particularly natural and intuitive means of parameter manipulation for this data exploration task. As a demonstration prototype we developed a hand posture recognition system for gestural controlling of sound. The presented implementation applies artificial neural networks for the identification of continuous hand postures from camera images and uses a real-time sound synthesis engine. In this paper, we present our system and first applications of the gestural control of sounds. Techniques to apply gestures to control sonification are proposed and sound examples are given.
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.
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.
5682288
Guest Editors' Introduction: An Introduction to Interactive Sonification
The research field of sonification, a subset of the topic of auditory display, has developed rapidly in recent decades. It brings together interests from the areas of data mining, exploratory data analysis, human-computer interfaces, and computer music. Sonification presents information by using sound (particularly nonspeech), so that the user of an auditory display obtains a deeper understanding of the data or processes under investigation by listening.
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.
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.
42092183
Degree elevation for generalized Poisson functions
In this note a common generalization is given for the Bezier and Poisson functions. Further it is proved that the degree elevated control polygon converges to the function.
8720995
On the derivatives of second and third degree rational Bézier curves
In this note, an estimate of Floater on the derivatives of rational Bezier curves is improved when the degree of the curve is 2 or 3.
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.
46596104
On the smoothness of offset surfaces
It is proved that the geometric continuity of the offset of a composite base surface is the same as that of the base surface.
19159245
Improving and Extending the Lim/Lee Exponentiation Algorithm
. In [5] Lim and Lee present an algorithm for fast exponentiation in a given group which is optimized for a limited amount of storage. The algorithm uses one precomputation for several computations in order to minimize the average time needed for one exponentiation. This paper generalizes the previous work proposing several improvements and a method for fast precomputation. The basic Lim/Lee algorithm is improved by determining the optimal segmentation of the exponent. Finally, it is shown that the improved Lim/Lee algorithm is faster than the previous one in average case.