Paul P. Maglio, Teenie Matlock, Christopher S. Campbell,'s Advances in Multimodal Interfaces — ICMI 2000: Third PDF

By Paul P. Maglio, Teenie Matlock, Christopher S. Campbell, Shumin Zhai, Barton A. Smith (auth.), Tieniu Tan, Yuanchun Shi, Wen Gao (eds.)

ISBN-10: 3540411801

ISBN-13: 9783540411802

Multimodal Interfaces represents an rising interdisciplinary examine path and has turn into one of many frontiers in desktop technology. Multimodal interfaces objective at effective, handy and ordinary interplay and conversation among desktops (in their broadest feel) and human clients. they're going to finally allow clients to have interaction with pcs utilizing their daily abilities. those complaints contain the papers authorised for presentation on the 3rd foreign convention on Multimodal Interfaces (ICMI 2000) held in Beijing, China on 1416 O ctober 2000. The papers have been chosen from 172 contributions submitted around the world. each one paper was once allotted for evaluate to 3 individuals of this system Committee, which consisted of greater than forty prime researchers within the box. ultimate judgements of 38 oral papers and forty eight poster papers have been made according to the reviewers’ reviews and the will for a stability of themes. the choice to have a unmarried music convention resulted in a aggressive choice technique and it's very most probably that a few strong submissions aren't integrated during this quantity. The papers gathered right here conceal a variety of themes corresponding to affective and perceptual computing, interfaces for wearable and cellular computing, gestures and signal languages, face and facial features research, multilingual interfaces, digital and augmented fact, speech and handwriting, multimodal integration and alertness platforms. They symbolize a number of the newest growth in multimodal interfaces research.

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Additional resources for Advances in Multimodal Interfaces — ICMI 2000: Third International Conference Beijing, China, October 14–16, 2000 Proceedings

Example text

The following is an example. The robot is told to go to Mr. A, but it does not know where Mr. A is, and asks the user for information. There is a wall there and the user thinks that Mr. A might be behind it. The user wants the robot to go and look at the other side of the wall to see if it can find Mr. A there. Thus, he directs the robot there and the robot succeeds in finding Mr. A. We ask a person to wear a red jacket and use color detection here to search for the target. User Robot Robot Robot User User : : : : : : “Go to Mr.

The direction of the detected person is the direction where the robot should move and the command is sent to the action module. If no other command is given, the robot will continue to follow the user. In such a situation, when “come here” is being said again, analysis is possible even without new visual processing. Example 2 In a case when the user said, “Go to Mr. ” Human-Robot Interface Based on Speech Understanding Assisted by Vision 21 The robot does not know the location of Mr. A but it knows it can look for the human being on its own and thus its vision is initialized to search for the human being and goes towards him.

Further difficulties exist when we are trying to design models for exploring abstract data. Abstract data from a domain such as the stock market has no real-world model or analog about which we can structure the information in a way that is intuitive to the user. It is desirable to avoid some complex mapping between the display artifacts and data parameters. When the user wishes to explore this data and search for new patterns it is important they are not distracted from their 'data-mining' task.

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Advances in Multimodal Interfaces — ICMI 2000: Third International Conference Beijing, China, October 14–16, 2000 Proceedings by Paul P. Maglio, Teenie Matlock, Christopher S. Campbell, Shumin Zhai, Barton A. Smith (auth.), Tieniu Tan, Yuanchun Shi, Wen Gao (eds.)


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