Djinn: Interaction Framework for Home Environment Using Speech and Vision

Kleindienst, Jan; Macek, Tomáš; Seredi, L.; Šedivý, Jan

doi:10.1007/978-3-540-24837-8_15

Cited by 2 publications

(4 citation statements)

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“…Such an environment is still a vision but it is one that struck a chord in the minds of researchers around the world and become the subject of several major industry initiatives. One such initiative is presented by Kleindienst, et al [20]. They use speech recognition and computer vision to model new generation of interfaces in the residential environment.…”

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confidence: 98%

The State-of-the-Art in Human-Computer Interaction

Sebe

Lew

Huang

2004

Computer Vision in Human-Computer Interaction

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Human computer interaction (HCI) lies at the crossroads of many scientific areas including artificial intelligence, computer vision, face recognition, motion tracking, etc. In recent years there has been a growing interest in improving all aspects of the interaction between humans and computers. It is argued that to truly achieve effective human-computer intelligent interaction (HCII), there is a need for the computer to be able to interact naturally with the user, similar to the way human-human interaction takes place.Humans interact with each other mainly through speech, but also through body gestures, to emphasize a certain part of the speech and display of emotions. As a consequence, the new interface technologies are steadily driving toward accommodating information exchanges via the natural sensory modes of sight, sound, and touch. In face-to-face exchange, humans employ these communication paths simultaneously and in combination, using one to complement and enhance another. The exchanged information is largely encapsulated in this natural, multimodal format. Typically, conversational interaction bears a central burden in human communication, with vision, gaze, expression, and manual gesture often contributing critically, as well as frequently embellishing attributes such as emotion, mood, attitude, and attentiveness. But the roles of multiple modalities and their interplay remain to be quantified and scientifically understood. What is needed is a science of human-computer communication that establishes a framework for multimodal "language" and "dialog", much like the framework we have evolved for spoken exchange.Another important aspect is the development of Human-Centered Information Systems. The most important issue here is how to achieve synergism between man and machine. The term "Human-Centered" is used to emphasize the fact that although all existing information systems were designed with human users in mind, many of them are far from being user friendly. What can the scientific/engineering community do to effect a change for the better?Information systems are ubiquitous in all human endeavors including scientific, medical, military, transportation, and consumer. Individual users use them for learning, searching for information (including data mining), doing research (including visual computing), and authoring. Multiple users (groups of users, and groups of groups of users) use them for communication and collaboration. And either single or multiple users use them for entertainment. An information system consists of two components: Computer (data/knowledge base, and information processing engine), and humans. It is the intelligent interaction between

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mentioning

confidence: 98%

The State-of-the-Art in Human-Computer Interaction

Sebe

Lew

Huang

2004

Computer Vision in Human-Computer Interaction

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“…Uno de los segmentos de la población que más se beneficiarán con la aparición de sistemas basados en la Inteligencia Ambiental serán los ancianos y personas con algún tipo de discapacidad (Kleindienst, et al, 2004) (Carretero, et al, 2005), contribuyendo a mejorar aspectos importantes en su calidad de vida, principalmente los cuidados médicos (Emiliani, et al, 2005).…”

Section: La Inteligencia Ambiental Y La Dependenciaunclassified

“…Los entornos automatizados se encuentran en el paradigma de la Inteligencia Ambiental, con áreas como la domótica (Carretero, et al, 2005) (Ducatel, et al, 2001a) (Grill, et al, 2005) que proporcionan la infraestructura tecnológica necesaria para lograr una adecuada interacción con el entorno. En años recientes se ha registrado un crecimiento considerable en el desarrollo de tecnologías de automatización y arquitecturas distribuidas (Carretero, et al, 2005) (Richter, et al, 2004) (Anastasopoulos, et al, 2005 gracias a la aparición de espacios inteligentes y la integración de dispositivos programables a través de redes computacionales (Rigole, et al, 2002), impulsando el desarrollo de la computación ubicua (Kleindienst, et al, 2004).…”

Section: La Inteligencia Ambiental Y La Dependenciaunclassified

“…), funciones de emergencia, apertura de puertas, y control de electrodomésticos. Esta propuesta se basa en una metodología de usuario central, integrando redes de datos, redes de control, tecnología de reconocimiento de voz, y recolección de información visual a través de cámaras de vídeo (Kleindienst, et al, 2004).…”

Djinn: Interaction Framework for Home Environment Using Speech and Vision

Cited by 2 publications

References 3 publications

The State-of-the-Art in Human-Computer Interaction

The State-of-the-Art in Human-Computer Interaction

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