Deep learning : real-time American Sign Language recognition and speech, 2018

Item — Call Number: MU Thesis Alj

Identifier: b7817592

Staff Only

Scope and Contents

From the Record Group:

The collection consists of theses written by students enrolled in the Monmouth University graduate Information Systems program. The holdings are bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2018

Creator

Aljawy, Zainy M. (Zainy Mohsen) (1986- ) (Author, Person)
Tepfenhart, William M. (1956-2019) (Thesis advisor, Person)

Conditions Governing Access

The collection is open for research use. Access is by appointment only.

Access to the collection is confined to the Monmouth University Library and is subject to patron policies approved by the Monmouth University Library.

Collection holdings may not be borrowed through interlibrary loan.

Research appointments are scheduled by the Monmouth University Library Archives Collections Manager (723-923-4526). A minimum of three days advance notice is required to arrange a research appointment for access to the collection.

Patrons must complete a Researcher Registration Form and provide appropriate identification to gain access to the collection holdings. Copies of these documents will be kept on file at the Monmouth University Library.

Extent

1 Items (print book) : 48 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

This thesis addresses the issue of recognizing the hand signs of American Sign Language utilizing deep learning artificial intelligence techniques. The recognition rates of sample data was measured after sample data was prepared in one of three ways: normalizing the image, coverting to binary black and white, and color with background removed. Of the three, this thesis showed that recognition is best with color and background removed.

Partial Contents

Abstract -- 1. Introduction -- 2. Literature review -- 3. Implementation methodology -- 4. Findings and results -- 5. Discussion and recommendations -- Conclusion -- References -- Appendix.