Word level sign language recognition via handcrafted features
DS Ruiz, JA Olvera-López… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
The ability to be understood and convey feelings, requests or ideas through words (spoken
or written) is one of the most undervalue by all the humans who have the privilege to do it …
or written) is one of the most undervalue by all the humans who have the privilege to do it …
A Four-Stage Mahalanobis-Distance-Based Method for Hand Posture Recognition
D Warchoł, T Kapuściński - Applied Sciences, 2023 - mdpi.com
Automatic recognition of hand postures is an important research topic with many
applications, eg, communication support for deaf people. In this paper, we present a novel …
applications, eg, communication support for deaf people. In this paper, we present a novel …
A machine learning-driven web application for sign language learning
H Orovwode, O Ibukun, JA Abubakar - Frontiers in Artificial …, 2024 - frontiersin.org
Addressing the increasing demand for accessible sign language learning tools, this paper
introduces an innovative Machine Learning-Driven Web Application dedicated to Sign …
introduces an innovative Machine Learning-Driven Web Application dedicated to Sign …
[PDF][PDF] A Novel and Refined Contactless User Feedback System for Immediate On-Site Response Collection.
H Harrison, M Mamat, F Wong… - International Journal of …, 2024 - saiconferences.com
System (CUFS) that provides an innovative solution for capturing user feedback through
hand gestures. It comprises a User Feedback Device (UFD), a mobile application, and a …
hand gestures. It comprises a User Feedback Device (UFD), a mobile application, and a …