By Paul P. Maglio, Teenie Matlock, Christopher S. Campbell, Shumin Zhai, Barton A. Smith (auth.), Tieniu Tan, Yuanchun Shi, Wen Gao (eds.)
Multimodal Interfaces represents an rising interdisciplinary study course and has develop into one of many frontiers in computing device technology. Multimodal interfaces goal at effective, handy and common interplay and verbal exchange among pcs (in their broadest experience) and human clients. they'll finally let clients to engage with pcs utilizing their daily talents. those court cases comprise the papers authorised for presentation on the 3rd overseas convention on Multimodal Interfaces (ICMI 2000) held in Beijing, China on 1416 O ctober 2000. The papers have been chosen from 172 contributions submitted world wide. each one paper used to be allotted for evaluate to 3 contributors 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 in accordance with the reviewers’ reviews and the need for a stability of themes. the choice to have a unmarried song convention resulted in a aggressive choice strategy and it's very most probably that a few solid submissions aren't integrated during this quantity. The papers gathered the following disguise quite a lot of issues comparable 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 signify the various newest development in multimodal interfaces research.
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Extra info for Advances in Multimodal Interfaces — ICMI 2000: Third International Conference Beijing, China, October 14–16, 2000 Proceedings
36 Trevor Darrell et al. It has long been known that multidimensional representations of acoustic signals can be useful for recognition and segmentation. Most typical is a representation which represents the signal in terms of frequency vs. time. Many acoustic events can be segregated in terms of pitch, such as classical musical instruments and human vowel sounds. While the cepstrum, spectrogram, and correlogram are all possible representations, we use a periodogram-based representation. 4 ms duration sampled at 30 Hz (commensurate with the video rate).
1 Basic Operation As our goal is to get to our destination, we do not need a vast vocabulary. Here, we define the various words recognized into to the following categories: objects, actions, directions, adjectives, adverbs, emergency words, numerals, colors, names of people and others. First we listen for the end of an utterance. The utterance (speech input) is converted into text. Next, we compare our existing vocabulary to the text and search for the words that were defined and we group them into the above categories.
The central processing module is the center of the system. It uses various information and knowledge to analyze the meanings of recognized voice input. It will send a command to the visual module and uses the result for analysis of meanings Human-Robot Interface Based on Speech Understanding Assisted by Vision 19 when it thinks visual information is needed. And it will send command to the speech module to make sentences when it thinks it needs to ask the user for additional information. It will send command to the action module when action is to be carried out by the robot.
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.)