Results 91 to 100 of about 4,892 (216)

Enhancement of Recurrent Neural Networks (RNN) applied in hand gesture recognition for American Sign Language (ASL) alphabet recognition

International Student Research Review
This study focused on improving Recurrent Neural Network (RNN) algorithms to recognize American Sign Language (ASL) alphabets to better hand segmentation, feature extraction, and time modeling to obtain better accuracy and robustness in the real-time ...
Jenny R. Jimenez , Augustin Brain C. Sabordio   +1 more
doaj   +1 more source

Pengenalan Kata Kolok Secara Real Time Menggunakan Mediapipe dan Algoritma Long Short-Term Memory (LSTM)

SINTECH (Science and Information Technology) Journal
Sign language is the primary form of communication for individuals who are deaf or mute. In the Bengkala community, there exists a unique sign language known as Kolok.
I. Made, Panji Prayoga, G. Ayu, Agung Diatri Indradewi, Putu Gede Hendra Suputra   +4 more
semanticscholar   +1 more source

Sentiment Analysis on Android Applications using MediaPipe for Text Classification

Sistemasi: Jurnal Sistem Informasi
Sentiment analysis is an important process for understanding public opinion on various issues discussed on social media. This study aims to develop an Android application that utilizes MediaPipe for text classification based on sentiment.
Kadek Febry Ardika, Joko Dwi Santoso
doaj   +1 more source

Dynamic Sign Language Recognition in Bahasa using MediaPipe, Long Short-Term Memory, and Convolutional Neural Network

Journal of Information Systems Engineering and Business Intelligence
Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditions or with ...
Ivana Valentina Lemmuela, M. Ayub, Oscar Karnalim   +2 more
semanticscholar   +1 more source

A Real-Time Sign Language Learning System Using LSTM and Mediapipe

International Journal for Research in Applied Science and Engineering Technology
Sign language is a vital communication method for individuals with hearing and speech impairments, yet real-time recognition remains challenging due to gesture variability, occlusions, and motion tracking issues. This study presents a deep learning-based
B. J
semanticscholar   +1 more source

Analysis of Driver Drowsiness Detection System Based on Landmarks and MediaPipe

Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi
Driver drowsiness is one of the leading causes of traffic accidents, especially during long-distance journeys. This study developed a detection system based on landmarks and the MediaPipe framework to analyze drowsiness through eye blink duration.
Fawaidul Badri, Sulistya Umie Ruhmana Sari, Shipun Anuar Bin Hamzah   +2 more
semanticscholar   +1 more source

Virtual Try-On System Using MediaPipe and OpenCV for AI-Based Clothing Overlay

International Journal for Sciences and Technology
Artificial Intelligence (AI) integration in fashion has created virtual try-on systems that improve the shopping experience of users in online shopping spaces.
N. Krishnapriya, Mr. Dhruv Panchal, Asst. Prof Jui Khammar, Dr. Dulari Bhatt   +3 more
semanticscholar   +1 more source

IPN HandS: Efficient Annotation Tool and Dataset for Skeleton-Based Hand Gesture Recognition

Applied Sciences
Hand gesture recognition (HGR) heavily relies on high-quality annotated datasets. However, annotating hand landmarks in video sequences is a time-intensive challenge.
Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Hiroki Takahashi   +3 more
doaj   +1 more source

Real-Time ISL Recognition Using CNN and MediaPipe

International Journal For Multidisciplinary Research
Communication barriers often isolate the deaf and mute community due to a lack of universal understanding of sign language, limiting their ability to interact effectively in society.
Sakshi Huse, Rohini Makode, Tejas Nachane, Tejas Wankhade   +3 more
semanticscholar   +1 more source

Arabic Sign Language Recognition with Deep Learning Models and Keypoint Landmarks

ELCVIA Electronic Letters on Computer Vision and Image Analysis
Communication is a fundamental aspect of human interaction, essential for expressing emotions and building relationships. While individuals with typical hearing rely on spoken language, the deaf and mute community communicates through visual gestures ...
Farah Alshanik, Saif Aljunidi, Ethar Qawasmeh   +2 more
doaj   +1 more source