Sign Language Prediction Model using Convolution Neural Network.
The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to a major gap in the communication sector where the deaf community is left out leading to inequality. The study used primary and secondary data sources to obtain information about this problem, which incl...
Saved in:
| Main Authors: | Rebeccah Ndungi, Samuel Karuga |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
State Islamic University Sunan Kalijaga
2022-02-01
|
| Series: | IJID (International Journal on Informatics for Development) |
| Subjects: | |
| Online Access: | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/3284 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SIGN LANGUAGES AS CONVENTIONAL SYSTEMS IN COMMUNICATION OF DEAF PEOPLE
by: Diyana Georgieva
Published: (2023-11-01) -
Kenyan sign language word-based pose datasetZenodo
by: Ezekiel Maina, et al.
Published: (2025-06-01) -
Language cognizance and sign language awareness on the part of deaf individuals at 2 nd level primary schools for hearing impaired individuals in the Czech Republic
by: Pavel Kučera, et al.
Published: (2014-12-01) -
The Structure and Geography of the ASL Signing Community in the Mid-Nineteenth Century: The Hartford Gatherings of 1850 and 1854
by: Justin M. Power, et al.
Published: (2025-08-01) -
Survey on Hand Gesture Recognition From Visual Input
by: Manousos Linardakis, et al.
Published: (2025-01-01)