Recognition of Dynamic Filipino Sign Language using MediaPipe and Long Short-Term Memory
Author:
Affiliation:
1. Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9984157/9984211/09984599.pdf?arnumber=9984599
Reference15 articles.
1. Vehicle and Weather Detection Using Real Time Image Processing Using Optical Flow and Color Histogram
2. Study on Hand Keypoint Framework for Sign Language Recognition
3. A YOLO-Based Approach for Aedes Aegypti Larvae Classification and Detection
4. Gender Identification Using Keras Model Through Detection of Face
5. Thai Sign Language Recognition: an Application of Deep Neural Network
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1. A Machine Learning Model for converting Visual Indian Sign Language to Text;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02
2. Development of Vision-Based Mobile Application for Filipino Sign Language Recognition Using Machine Learning;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19
3. Long Short-Term Memory-based Static and Dynamic Filipino Sign Language Recognition;2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2023-06-17
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