Results 71 to 80 of about 476 (129)

Comparative Analysis of 1D CNN Architectures for Guitar Chord Recognition from Static Hand Landmarks

Journal of Applied Informatics and Computing
Vision-based guitar chord recognition offers a promising alternative to traditional audio-driven methods, particularly for silent practice, classroom environments, and interactive learning applications.
Rafi Abhista Naya, Evan Tanuwijaya
doaj   +1 more source

Computer Automation Using Gesture Recognition and Mediapipe

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Automation is the use of technology to accomplish a task with as little human interaction as possible. In computing, automation is usually accomplished by a program, a script, or batch processing. Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures. Automation of tasks can be
openaire   +1 more source

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

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

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

JMIR Formative Research
BackgroundMarkerless motion tracking methods have promise for use in a range of domains, including clinical settings where traditional marker-based systems for human pose estimation are not feasible. Artificial intelligence (AI)–based systems can offer a
Vaidehi Wagh, Matthew W Scott, Sarah N Kraeutner   +2 more
doaj   +1 more source

Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe

International Islamic University Malaysia Engineering Journal
Frequent hospital visits for hand rehabilitation exercises, such as strengthening and opposition exercises, present significant challenges, especially for patients in remote areas.
Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin , Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki   +10 more
doaj   +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

Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study

Journal of NeuroEngineering and Rehabilitation
Emerging work supports the use of artificial intelligence-based markerless motion capture systems to complement standardized clinical measures when assessing post-stroke motor recovery. MediaPipe Pose Landmarker is an open-sourced, machine learning tool,
Vaidehi Wagh, Matthew W. Scott, Justin W. Andrushko, Christina B. Jones, Beverley C. Larssen, Lara A. Boyd, Sarah N. Kraeutner   +6 more
doaj   +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

Advancing Artistic Swimming Officiating and Performance Assessment: A Computer Vision Study Using MediaPipe

International Journal of Computer Science in Sport
Artistic Swimming (AS) requires complete execution and synchronization of movements for performance evaluation. The interest in objective and subjective performance analysis worldwide in sports via valid and reliable Artificial Intelligence (AI) tools is
Edriss Saeid, Caprioli Lucio, Campoli Francesca, Manzi Vincenzo, Padua Elvira, Bonaiuto Vincenzo, Romagnoli Cristian, Annino Giuseppe   +7 more
doaj   +1 more source