A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language

被引：0

作者：

Gurbuz, Sevgi Z. ^{[1
]}

Gurbuz, Ali C. ^{[2
]}

Malaia, Evie A. ^{[3
]}

Griffin, Darrin J. ^{[4
]}

Crawford, Chris ^{[5
]}

Rahman, M. Mahbubur ^{[1
]}

Aksu, Ridvan ^{[1
]}

Kurtoglu, Emre ^{[1
]}

Mdrafi, Robiulhossain ^{[2
]}

Anbuselvam, Ajaymehul ^{[5
]}

Macks, Trevor ^{[1
]}

Ozcelik, Engin ^{[1
]}

机构：

[1] Univ Alabama, Dept Elect & Comp Engn, Tuscaloosa, AL 35487 USA

[2] Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS USA

[3] Univ Alabama, Dept Commun Disorders, Tuscaloosa, AL USA

[4] Univ Alabama, Dept Commun Studies, Tuscaloosa, AL USA

[5] Univ Alabama, Dept Comp Sci, Tuscaloosa, AL 35487 USA

来源：

2020 IEEE INTERNATIONAL RADAR CONFERENCE (RADAR) | 2020年

基金：

美国国家科学基金会;

关键词：

American Sign Language; radar micro-Doppler; RF sensing; gesture recognition;

D O I：

10.1109/radar42522.2020.9114818

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Although users of American Sign Language (ASL) comprise a significant minority in the U.S. and Canada, people in the Deaf community have been unable to benefit from many new technologies, which depend upon vocalized speech,and are designed for hearing individuals. While video has led to tremendous advances in ASL recognition, concerns over invasion of privacy have limited its use for in-home smart environments. This work presents initial work on the use of RF sensors, which can protect user privacy, for the purpose of ASL recognition. The new offerings of 2D/3D RF data representations and optical flow are presented. The fractal complexity of ASL is shown to be greater than that of daily activities-a relationship consistent with linguistic analysis conducted using video.

引用

页码：232 / 237

页数：6

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