Utalk: Sri Lankan Sign Language Converter Mobile App using Image Processing and Machine Learning-Reference-Cited by-同舟云学术

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Utalk: Sri Lankan Sign Language Converter Mobile App using Image Processing and Machine Learning

Published:2020-12-10 Issue: Volume: Page:
ISSN:
Container-title:2020 2nd International Conference on Advancements in Computing (ICAC)
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Author:

Dissanayake I.S.M,Wickramanayake P.J,Mudunkotuwa M.A.S,Fernando P.W.N

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9357062/9357128/09357300.pdf?arnumber=9357300

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sign Language Translation Techniques Using Artificial Intelligence for the Hearing Impaired Community in Sri Lanka: A Review;2023 7th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI);2023-11-23

2. Interpretation of Sri Lankan Sign Language: A Wearable Sensor-based Approach;2023 International Research Conference on Smart Computing and Systems Engineering (SCSE);2023-06-29

3. Landscape of sign language research based on smartphone apps: coherent literature analysis, motivations, open challenges, recommendations and future directions for app assessment;Universal Access in the Information Society;2023-01-05

4. Hand Gesture Recognition Using FMCW Radar and Deep Learning for Understanding Deaf Sign Language;Lecture Notes in Electrical Engineering;2023

5. Hastha: Online Learning Platform for Hearing Impaired;2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer);2022-11-30

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