IoT Based Sign Language Recognition System

Raveen Wijayawickrama; Ravini Premachandra; Thilan Punsara; Achintha Chanaka

IoT Based Sign Language Recognition System

Raveen Wijayawickrama * §

Contact

Ravini Premachandra

Contact

Thilan Punsara

Contact

Achintha Chanaka

Contact

§ Sri Lanka Institute of Information Technology

IoT Based Sign Language Recognition System

Article Fingerprint

ReserarchID

CSTG6E6Z

IoT Based Sign Language Recognition System Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

Abstract

Sign language is the key communication medium, which deaf and mute people use in their day-to-day life. Talking to disabled people will cause a difficult situation since a non-mute person cannot understand their hand gestures and in many instances mute people are hearing impaired. Same as Sinhala, Tamil, English, or any other language, sign language also tend to have differences according to the region. This paper is an attempt to assist deaf and mute people to develop an effective communication mechanism with non-mute people. The end product of this project is a combination of a mobile application that can translate the sign language into digital voice and IoT enabled, light-weighted wearable glove, which capable of recognizing twenty-six English alphabet, 0-9 numbers, and words. Better user experience provide with voice-to-text feature in mobile application to reduce the communication gap within mute and non-mute communities. Research findings and results from current system visualize the output of the product can be optimized up to 25%-35% with enhanced pattern recognition mechanism.

References

12 Cites in Article

Reference Format

Naalsund Solvang Iselin Ertzgaard,Tønder Kristin,Sofie,Giske Hansen,Hagan Sindberg,Mnyanyi Tobias Bang,Cosmas,Tron Tronstad,Nkya Vedul,Øygarden Aslam,Jon (2020). Prevalence of hearing impairment among primary school children in the kilimanjaro region within tanzania.
Mizanur Rahman,Md Salah Uddin,Md Samaun Hasan,Apurba Ghosh,Sadia Boby,Arif Ahmed,Shah Rahman,Shaikh Allayear (2020). Anatomical Analysis Between Two Languages Alphabets: Visually Typographic Test Transformation in Morphological Approaches.
Dolors Rodríguez-Martín,Catalina Rodríguez-García,Anna Falcó-Pegueroles (2018). Ethnographic analysis of communication and the deaf community’s rights in the clinical context.
Xu Li,Rongxing Lu,Xiaohui Liang,Xuemin Shen,Jiming Chen,Xiaodong Lin (2011). Smart community: an internet of things application.
Ying Wu,Thomas Huang (1999). Vision-Based Gesture Recognition: A Review.
Amy Cyphert (2020). Testbed-19: Machine Learning Models Engineering Report.
Rini Akmeliawati,Melanie Po-Leen,Ye Ooi,Kuang Chow (2007). Real-time malaysian sign language translation using colour segmentation and neural network.
Priyanka Lokhande,Riya Prajapati,Sandeep Pansare (2015). Data gloves for sign language recognition system.
Kirsten Ellis,Jan Barca (2012). Exploring Sensor Gloves for Teaching Children Sign Language.
Yun Li,Xiang Chen,Xu Zhang,Kongqiao Wang,Jane Wang (2012). A sign-component-based framework for chinese sign language recognition using accelerometer and semg data.
Aaisha Parveen,U Rohitha Microcontroller based hand gesture recognition system using flex sensor for disabled people.
A Cochocki,Rolf Unbehauen (1993). Neural networks for optimization and signal processing.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Raveen Wijayawickrama, Ravini Premachandra, Thilan Punsara, Achintha Chanaka. 2021. "IoT Based Sign Language Recognition System". Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 20 (GJCST Volume 20 Issue A1).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 20 Issue A1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-A Classification I.2.7

Submission ReceivedDecember 9, 2019
Peer Review Double Blind
Handling Editor
Accepted January 3, 2020
Published January 15, 2020

Version of record

v1.2

Issue date

January 9, 2021

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 144

Country: Sri Lanka

Subject: Global Journal of Computer Science and Technology

Authors: Raveen Wijayawickrama, Ravini Premachandra, Thilan Punsara, Achintha Chanaka (PhD/Dr. count: 0)

View Count (all-time): 524

Total Views (Real + Logic): 1960

Total Downloads (simulated): 164

Publish Date: 2020 01, Wed

Monthly Totals (Real + Logic):

Month 1: 24 views
Month 2: 44 views
Month 3: 47 views
Month 4: 35 views
Month 5: 50 views
Month 6: 52 views
Month 7: 54 views
Month 8: 37 views
Month 9: 17 views
Month 10: 34 views
Month 11: 47 views
Month 12: 30 views
Month 13: 40 views
Month 14: 27 views
Month 15: 37 views
Month 16: 22 views
Month 17: 36 views
Month 18: 24 views
Month 19: 26 views
Month 20: 28 views
Month 21: 34 views
Month 22: 49 views
Month 23: 19 views
Month 24: 19 views
Month 25: 38 views
Month 26: 27 views
Month 27: 29 views
Month 28: 38 views
Month 29: 23 views
Month 30: 24 views
Month 31: 23 views
Month 32: 45 views
Month 33: 42 views
Month 34: 32 views
Month 35: 40 views
Month 36: 40 views
Month 37: 34 views
Month 38: 23 views
Month 39: 44 views
Month 40: 23 views
Month 41: 47 views
Month 42: 26 views
Month 43: 35 views
Month 44: 17 views
Month 45: 23 views
Month 46: 24 views
Month 47: 20 views
Month 48: 22 views
Month 49: 32 views
Month 50: 46 views
Month 51: 40 views
Month 52: 42 views
Month 53: 46 views
Month 54: 32 views
Month 55: 51 views
Month 56: 35 views
Month 57: 31 views
Month 58: 32 views
Month 59: 14 views
Month 60: 24 views
Month 61: 29 views
Month 62: 41 views
Month 63: 47 views
Month 64: 55 views
Month 65: 27 views
Month 66: 26 views
Month 67: 29 views
Month 68: 16 views
Month 69: 43 views
Month 70: 32 views
Month 71: 36 views
Month 72: 22 views
Month 73: 34 views
Month 74: 19 views
Month 75: 29 views
Month 76: 38 views
Month 77: 37 views
Month 78: 43 views
Month 79: 51 views
Month 80: 42 views
Month 81: 44 views

Total Views: 2K

Total Downloads: 164

All Trends