M. Sile O'Modhrain

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We describe the design of ComTouch, a device that augments remote voice communication with touch, by converting hand pressure into vibrational intensity between users in real-time. The goal of this work is to enrich inter-personal communication by complementing voice with a tactile channel. We present preliminary user studies performed on 24 people to(More)
This paper presents a novel coupling of haptics technology and music, introducing the notion of tactile composition or aesthetic composition for the sense of touch. A system that facilitates the composition and perception of intricate, musically structured spatio-temporal patterns of vibration on the surface of the body is described. An initial test of the(More)
We combine the functionality of a mobile Global Positioning System (GPS) with that of an MP3 player, implemented on a PocketPC, to produce a handheld system capable of guiding a user to their desired target location via continuously adapted music feedback. We illustrate how the approach to presentation of the audio display can benefit from insights from(More)
The increasing complexity and pervasiveness of handheld devices is demanding the development of interaction techniques explicitly tailored for mobile scenarios. This paper examines one such technique: the use of device orientation to navigate through one dimensional lists or menus. We describe a novel input mapping, directly relating list position to device(More)
The PebbleBox and the CrumbleBag are examples of a granular interaction paradigm, in which the manipulation of physical grains of arbitrary material becomes the basis for interacting with granular sound synthesis models. The sounds made by the grains as they are manipulated are analysed, and parameters such as grain rate, grain amplitude and grain density(More)
We describe the BodySpace system, which uses inertial sensing and pattern recognition to allow the gestural control of a music player by placing the device at different parts of the body. We demonstrate a new approach to the segmentation and recognition of gestures for this kind of application and show how simulated physical model-based techniques can shape(More)
This paper presents a novel algorithm that has been specifically designed for the recognition of multivariate temporal musical gestures. The algorithm is based on Dynamic Time Warping and has been extended to classify any N dimensional signal, automatically compute a classification threshold to reject any data that is not a valid gesture and be quickly(More)