2018英特爾ISEF獲獎(jiǎng)作品摘要 機(jī)器人與智能機(jī)器（人工智能） Intel Finalist Abstract Robotics and Intelligent Machines (AI)

獲獎(jiǎng)作品基本信息

年份	2018
學(xué)科	機(jī)器人與智能機(jī)器 Robotics and Intelligent Machines
國(guó)家/州	United States of America

獲獎(jiǎng)作品名稱

Myelofon: The Way of Expressing Thoughts for People with Speech Disorders

獲獎(jiǎng)作品摘要

Nowadays there are 360 million people with speech disturbances worldwide. Despite the existence of sign language and methods of its interpretation the issue of communication with deaf-mute people remains acute. The goal of our project is to create a device recognizing sign language (ASL) and translating it into English. Myelofon uses a controller, consisting of a set of infrared cameras and LEDs to register the positions of the user's hands. Then the data is processed by the computer unit. The source code of the program is written in Python v2.7. We decided to use mathematical algorithms that separate the hands from a complex environment using a differential Sobel operator. This method of detecting among the background noise allows Myelofon to recognize the hands. To reproduce spoken language, we used the Naive Bayes tokenization algorithm from the Natural Language Toolkit (NLTK), that allowed us to separate the input data by the presence or absence of certain elements in their composition. The accuracy of the sentences is provided by using of NLTK morphological analyzers. Myelofon takes the sample and finds the most common two and three word expressions. The information about hand position is updated 200 times per second, Myelofon recognizes the gestures with up to 98% precision (during the test in normal light conditions). The algorithm is resistant to background interference in field of view of the controller (120 degrees in-depth, 150 degrees in width). Myelofon is capable of simulating a natural language with up to 95% accuracy (correctly formulated sentences in the test), and allows us to greatly simplify communication with the deaf-mute community. In future we want to continue expanding Myelofon's word bank and making it more comfortable for users.

高中生科研學(xué)術(shù)活動(dòng) 英特爾 Intel ISEF 簡(jiǎn)介

英特爾國(guó)際科學(xué)與工程大獎(jiǎng)賽，簡(jiǎn)稱 "ISEF"，由美國(guó) Society for Science and the Public（科學(xué)和公共服務(wù)協(xié)會(huì)）主辦，英特爾公司冠名贊助，是全球規(guī)模最大、等級(jí)最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動(dòng)學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會(huì)科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動(dòng)的“世界杯”之美譽(yù)，旨在鼓勵(lì)學(xué)生團(tuán)隊(duì)協(xié)作，開拓創(chuàng)新，長(zhǎng)期專一深入地研究自己感興趣的課題。

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英特爾 ISEF 學(xué)術(shù)活動(dòng)詳細(xì)介紹

英特爾 ISEF 全程指導(dǎo)方案

· 數(shù)學(xué) · 物理 · 化學(xué) · 生物 · 計(jì)算機(jī) · 工程 ·

學(xué)科簡(jiǎn)介：機(jī)器人與智能機(jī)器 Robotics and Intelligent Machines

Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.

Subcategories:

Biomechanics?(BIE):?Studies and apparatus which mimic the role of mechanics in biological systems.

Cognitive Systems?(COG):?Studies/apparatus that operate similarly to the ways humans think and process information. Systems that provide for increased interaction of people and machines to more naturally extend and magnify human expertise, activity, and cognition.

Control Theory?(CON):?Studies that explore the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. ?This includes new theoretical results and the applications of new and established control methods, system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation.

Machine Learning?(MAC):?Construction and/or study of algorithms that can learn from data.

Robot Kinematics?(KIN):?The study of movement in robotic systems.

Other?(OTH):?Studies that cannot be assigned to one of the above subcategories.?If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.