Multi-touch

Résumé

Un dispositif tactile multipoint (ou multi-touch en anglais) est à la fois une technique d’interaction humain-ordinateur et le matériel qui la met en application (écran tactile). Ce dispositif sert à interagir avec le matériel informatique par le biais de plusieurs points de contact (souvent avec plusieurs doigts). Caractéristiques Le dispositif se compose d’un pavé tactile ou d’une surface tactile transparente appliquée sur un écran tactile, qui reconnaissent des points de contact simultanés et multiples, ainsi que d’un logiciel qui interprète ces contacts simultanés. Ceci inclut en général la position (et éventuellement le degré de pression) de chaque point de contact de façon indépendante, ce qui permet d’effectuer des gestes et d’interagir avec plusieurs doigts ou avec les mains, et de créer une interaction riche par des gestes intuitifs. Implémentation et technologies Les systèmes multi-touch ont été implémentés en fonction de différents paramètres, comme

Source officielle

https://fr.wikipedia.org/wiki/Multi-touch

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On developing a voice-enabled interface for interactive tour-guide robots

Andrzej Drygajlo, Plamen Prodanov

This paper considers design methodologies in order to develop voice-enabled interfaces for tour-guide robots deployed at the Robotics Exposition of the Swiss National Exhibition (Expo.02). Human–robot voice communication presents new challenges for design of fully autonomous mobile robots, in that interactivity must be robot-initiated in conversation and within a dynamic adverse environment.We approached these general problems for a voice-enabledinterface, tailored to limited computational resources of one on-board processor,when integrating smart speech signal acquisition, automatic speech recognition and synthesis, as well as a dialogue system into the multi-modal, multi-sensor interface for the expo tour-guide robot. We also focus on particular issues that needed to be addressed in voice-based interaction when planning specific tasks and research experiments for Expo.02, where tour-guide robots had to interact with hundreds of thousands of visitors over 6 months, 7 days a week, 10 h per day.

2003

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This paper considers design methodologies in order to develop voice-enabled interfaces for tour-guide robots to be deployed at the Robotics Exposition of the Swiss National Exhibition (Expo.02). Human-robot voice communication presents new challenges for design of fully autonomous mobile robots, in that interactivity must be robot-initiated in conversation and within a dynamic adverse environment. We approached these general problems for a voice enabled interface, tailored to limited computational resources of one on-board processor, when integrating smart speech signal acquisition, automatic speech recognition and synthesis, as well as dialogue system into the multi-modal, multi-sensor interface for the expo tour-guide robot. We also focus on particular issues that need to be addressed in voice-based interaction when planning specific tasks and research experiments for Expo.02 where tour-guide robots will interact with hundred of thousands of visitors during six months, seven days a week, ten hours per day.

2002

Chargement

A Mixed-State I-Particle Filter for Multi-Camera Speaker Tracking

Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez

Tracking speakers in multi-party conversations represents an important step towards automatic analysis of meetings. In this paper, we present a probabilistic method for audio-visual (AV) speaker tracking in a multi-sensor meeting room. The algorithm fuses information coming from three uncalibrated cameras and a microphone array via a mixed-state importance particle filter, allowing for the integration of AV streams to exploit the complementary features of each modality. Our method relies on several principles. First, a mixed state space formulation is used to define a generative model for camera switching. Second, AV localization information is used to define an importance sampling function, which guides the search process of a particle filter towards regions of the configuration space likely to contain the true configuration (a speaker). Finally, the measurement process integrates shape, color, and audio observations. We show that the principled combination of imperfect modalities results in an algorithm that automatically initializes and tracks speakers engaged in real conversations, reliably switching across cameras and between participants.

2003

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