A New Data Collection Interface for Dynamic Sign Language Recognition with Leap Motion Sensor

Burçak Demircioğlu Kam; Hatice Köse

doi:10.1007/978-3-030-65060-5_28

A New Data Collection Interface for Dynamic Sign Language Recognition with Leap Motion Sensor

Burçak Demircioğlu Kam^*, Hatice Köse

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

Özet

This paper presents a new data collection tool for sign language recognition with Leap Motion Controller. The main motivation of this study is to develop assistive technology in order to support hearing-impaired people. This study is a part of RoboRehab project where we aim to develop an affectively aware robotic rehabilitation platform to assist hearing-impaired children in hospitals. The tool is cost efficient and has a simple and user-friendly interface design. The study involves a set of 12 dynamic two-handed signs (words) from Turkish Sign Language (TID).

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Springer Series in Design and Innovation
Yayınlayan	Springer Nature
Sayfalar	353-361
Sayfa sayısı	9
DOI'lar	https://doi.org/10.1007/978-3-030-65060-5_28
Yayın durumu	Yayınlandı - 2021

Yayın serisi

Adı	Springer Series in Design and Innovation
Hacim	13
ISSN (Basılı)	2661-8184
ISSN (Elektronik)	2661-8192

Bibliyografik not

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Finansman

This project is funded under the grant TUBITAK 118E214.

Finansörler	Finansör numarası
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu	118E214

Belgeye Erişim

10.1007/978-3-030-65060-5_28

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "A New Data Collection Interface for Dynamic Sign Language Recognition with Leap Motion Sensor",

abstract = "This paper presents a new data collection tool for sign language recognition with Leap Motion Controller. The main motivation of this study is to develop assistive technology in order to support hearing-impaired people. This study is a part of RoboRehab project where we aim to develop an affectively aware robotic rehabilitation platform to assist hearing-impaired children in hospitals. The tool is cost efficient and has a simple and user-friendly interface design. The study involves a set of 12 dynamic two-handed signs (words) from Turkish Sign Language (TID).",

keywords = "Assistive technology, Data processing, Deep learning, Human–machine interaction, Leap motion, Machine learning, Sign language, Sign recognition",

author = "{Demircioğlu Kam}, Bur{\c c}ak and Hatice K{\"o}se",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2021",

doi = "10.1007/978-3-030-65060-5_28",

language = "English",

series = "Springer Series in Design and Innovation",

publisher = "Springer Nature",

pages = "353--361",

booktitle = "Springer Series in Design and Innovation",

address = "Switzerland",

}

TY - CHAP

T1 - A New Data Collection Interface for Dynamic Sign Language Recognition with Leap Motion Sensor

AU - Demircioğlu Kam, Burçak

AU - Köse, Hatice

PY - 2021

Y1 - 2021

N2 - This paper presents a new data collection tool for sign language recognition with Leap Motion Controller. The main motivation of this study is to develop assistive technology in order to support hearing-impaired people. This study is a part of RoboRehab project where we aim to develop an affectively aware robotic rehabilitation platform to assist hearing-impaired children in hospitals. The tool is cost efficient and has a simple and user-friendly interface design. The study involves a set of 12 dynamic two-handed signs (words) from Turkish Sign Language (TID).

AB - This paper presents a new data collection tool for sign language recognition with Leap Motion Controller. The main motivation of this study is to develop assistive technology in order to support hearing-impaired people. This study is a part of RoboRehab project where we aim to develop an affectively aware robotic rehabilitation platform to assist hearing-impaired children in hospitals. The tool is cost efficient and has a simple and user-friendly interface design. The study involves a set of 12 dynamic two-handed signs (words) from Turkish Sign Language (TID).

KW - Assistive technology

KW - Data processing

KW - Deep learning

KW - Human–machine interaction

KW - Leap motion

KW - Machine learning

KW - Sign language

KW - Sign recognition

UR - http://www.scopus.com/inward/record.url?scp=85130925354&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-65060-5_28

DO - 10.1007/978-3-030-65060-5_28

M3 - Chapter

AN - SCOPUS:85130925354

T3 - Springer Series in Design and Innovation

SP - 353

EP - 361

BT - Springer Series in Design and Innovation

PB - Springer Nature

ER -

A New Data Collection Interface for Dynamic Sign Language Recognition with Leap Motion Sensor

Özet

Yayın serisi

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap