[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Biometric information recognition using artificial intelligence algorithms: A performance comparison
SB Abdullahi, C Khunpanuk, ZA Bature… - IEEE …, 2022 - ieeexplore.ieee.org
Addressing crime detection, cyber security and multi-modal gaze estimation in biometric
information recognition is challenging. Thus, trained artificial intelligence (AI) algorithms …
information recognition is challenging. Thus, trained artificial intelligence (AI) algorithms …
Hand gesture detection for sign language using neural network with mediapipe
A Alvin, NH Shabrina, A Ryo… - … Jurnal Sistem Komputer, 2021 - ejournals.umn.ac.id
The most popular way of interfacing with most computer systems is a mouse and keyboard.
Hand gestures are an intuitive and effective touchless way to interact with computer systems …
Hand gestures are an intuitive and effective touchless way to interact with computer systems …
The Development of Hand Gestures Recognition Research: A Review
AN Aziz, A Kurniawardhani - International Journal of Artificial Intelligence …, 2022 - ijair.id
This paper contains a review of the literature published in the last 5 years that discusses the
topic of hand gesture recognition. The focus in this paper leads the reader to see the …
topic of hand gesture recognition. The focus in this paper leads the reader to see the …
Content based image retrieval using two color feature extraction
FA Mufarroha, DR Anamisa… - Journal of physics …, 2020 - iopscience.iop.org
Abstract Content Based Image Retrieval (CBIR) is a process to search for an image based
on the content or features that are inside. Nowadays, many image retrieval applications …
on the content or features that are inside. Nowadays, many image retrieval applications …
基于气压肌动图和改进神经模糊推理系统的手势识别研究
汪雷, 黄剑, 段涛, 伍冬睿, 熊蔡华, 崔雨琦 - 自动化学报, 2022 - aas.net.cn
手势识别是人机交互领域的重要研究内容, 为截肢患者控制智能假肢手提供基础.
当前主流方法之一是利用表面肌电图(Electromyogram, EMG) 识别手部运动意图 …
当前主流方法之一是利用表面肌电图(Electromyogram, EMG) 识别手部运动意图 …
[PDF][PDF] Alphabet Sign Language Recognition Using K-Nearest Neighbor Optimization.
F Utaminingrum, IK Somawirata, GD Naviri - J. Comput., 2019 - academia.edu
Hand gesture recognition is an interesting and challenging study, especially for human
interaction with computer. There are many method can used for hand gesture recognizing …
interaction with computer. There are many method can used for hand gesture recognizing …
Indonesian license plate recognition based on area feature extraction
F Damayanti, S Herawati, I Imamah… - Telkomnika …, 2019 - telkomnika.uad.ac.id
The main principle of license plate recognition is to recognize the characters in the license
plate which indicates the identity of the vehicle. This research will provide a system which …
plate which indicates the identity of the vehicle. This research will provide a system which …
[PDF][PDF] A real-time hand-signs segmentation and classification system using fuzzy rule based RGB model and grid-pattern analysis.
Hand-signs segmentation and classification in cluttered and dynamic background is
extremely challenging, especially when there are variation of illumination in the …
extremely challenging, especially when there are variation of illumination in the …
Temperature Controller Using the Takagi-Sugeno-Kang Fuzzy Inference System for an Industrial Heat Treatment Furnace
The industrial welding industry has a high energy consumption due to the heating processes
carried out. The heat treatment furnaces used for reheating equipment made of steel require …
carried out. The heat treatment furnaces used for reheating equipment made of steel require …