Haptic Based Sign Language Interpreter

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page CETE-IARJSET 22 Abstract: There is currently an abundance of systems available that is used to aid dumb/deaf people. These systems, though quite effective, are not very user friendly. We believe that, with the use of glove, signs can be translated with more accuracy and better consistency. In our paper, we are proposing a system which will prove to be an improvement to the existing system in terms of accuracy and ease of use. The use of the sensor glove would enable us to use sign language without relying on a computer. The sign language sensor glove proves to be very useful to aid in communication with the deaf. We believe that such a translator could be an effective means of communication to those who are using sign language in their daily life. The proposed scheme recognizes and interprets American Sign Language symbols that have static gestures. American Sign Language is a widely used and accepted standard for communication for people with hearing and speaking impairments. This project aims to alleviate these hurdles by acting as a bridge between Sign Language and Spoken Language to facilitate effective communication. We propose use of a sensor glove interfaced with a processor and display and audio devices which will translate the gestures made by the wearer to a commensurate word in the regular dialect. The model will also have provisions for the user to choose between 2 dialects and provide output based on the user's choice. Keywords: American Sign Language; Sensor Glove;Translate; Dialects; Microcontroller; Arduino IDE; accuracy. Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat