SmartKom-Home: The Interface to Home Entertainment

Portele, Thomas; Goronzy, Silke; Emele, Martin C.; Kellner, Aaron; Torge, Sunna; Vrugt, Jürgen te

doi:10.1007/3-540-36678-4_31

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Service robots could recently attract the attention of both academic and industry domains [1], [2], [3], [4], [5]. These robots are designed to assist humans performing services (i.e., medical services [5]).…”

Section: Introductionmentioning

confidence: 99%

UML-based robotic speech recognition development: A case study

Abdelhamid

Abdulla

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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The development of automatic speech recognition (ASR) systems plays a crucial role in their performance as well as their integration with spoken dialogue systems for controlling service robots. However, to the best of our knowledge, there is no research in the literature addressing the development of ASR systems and their integration with service robots from the software engineering perspective. Therefore, we propose in this paper a set of software engineering diagrams supporting a rapid development of ASR systems for controlling service robots. The proposed diagrams are presented in terms of a case study based on our speech recognition system, called RoboASR. The internal structure of this system is composed of five threads running concurrently to optimally carry out the various speech recognition processes along with the interaction with the dialogue manager of service robots. The diagrams proposed in this paper are presented in terms of the COMET method which is designed for describing practical and concurrent systems.

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Section: Introductionmentioning

confidence: 99%

UML-based robotic speech recognition development: A case study

Abdelhamid

Abdulla

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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“…Researchers have looked at more advanced interfaces to entertainment listings (e.g. [1,2,3,6]), and there are companies that offer speech input (e.g. Amulet, Invoca); but none of these efforts have focused on usability for people with disabilities.…”

Section: Introductionmentioning

confidence: 99%

Epg

Johnston

Stent

2010

Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility

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Over the last 10 years, in-home entertainment options have expanded dramatically. However, interfaces to listing data are still very limited. For people with visual disabilities, or those with limited hand mobility, it can be difficult or impossible to use the 'guide' provided by many cable and satellite television companies. In this demo, we present the assistive technology features of AT&T's Electronic Program Guide (EPG) prototype. These features include: speech in put for listing search, speech commands for browsing search results, and text to speech for browsing search results. In addition, EPG uses commodity hardware and software to reduce barriers to entry.

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“…The SmartKom architecture provides infrastructure support for multi-modal (e.g., speech, gesture) dialogue, utilizing a large number of components to interact with humans [14]. SmartKom, based on the distributed integration platform MULTI-PLATFORM [13], has been demonstrated in a variety of scenarios, including the SmartKom-Home interface to home entertainment systems [24], with functionality similar to the multimedia-related examples presented here (i.e., requests for information about upcoming shows, etc.). SmartKom is a mixed-initiative architecture that a Clearly, the system must determine where to send the request, however the topic of the current paper is the infrastructure, not the reasoning ability.…”

Section: Introductionmentioning

confidence: 99%

Natural Language Interactions in Distributed Networks of Smart Devices

Schermerhorn

Scheutz

2008

Int. J. Semantic Computing

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Advances in sensing and networking hardware have made the prospect of ambient intelligence more realistic, but the challenge of creating a software framework suitable for ambient intelligence systems remains. We present ADE, the Agent Development Environment, a distributed agent infrastructure with built-in natural language processing capabilities connected to a sophisticated goal manager that controls access to the world via multiple server interfaces for sensing and actuating devices. Unlike other ambient intelligence infrastructures, ADE includes support for multiple autonomous robots integrated into the system. ADE allows developers of ambient intelligence environments to implement agents of varying complexity to meet the varying requirements of each scenario, and it provides facilities to ensure security and fault tolerance for distributed computing. Natural language processing is conducted incrementally, as utterances are acquired, allowing fast, accurate responses from system agents. We describe ADE and a sample of the many experiments and demonstrations conducted using the infrastructure, then an example architecture for a "smart home" is proposed to demonstrate ADE's utility as an infrastructure for ambient intelligence.

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SmartKom-Home: The Interface to Home Entertainment

Cited by 7 publications

References 3 publications

UML-based robotic speech recognition development: A case study

UML-based robotic speech recognition development: A case study

Epg

Natural Language Interactions in Distributed Networks of Smart Devices

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