Results 91 to 100 of about 3,499 (212)

Analisi cinematica markerless del nuoto: validazione di MediaPipe per il tracciamento degli arti superiori [PDF]

open access: yes
LAUREA MAGISTRALENegli ultimi anni, l’analisi del movimento umano ha assunto un ruolo sempre più centrale, diventando uno strumento fondamentale per la valutazione funzionale e il monitoraggio dei progressi riabilitativi. I sistemi di analisi markerless
Frigerio, Luca, BUZZONI, ALESSANDRO
core  

Detekce skeletu pomocí MediaPipe jako nástroj pro analýzu muskuloskeletálních poruch

open access: yes
Skeleton detection, also known as human pose estimation (HPE), is becoming more and more popular as it can be applied in a range of applications such as game entertainment, human-machine interaction, VR-based projects, medical rehabilitation, etc. Thanks
Mareš, Jan   +4 more
core   +1 more source

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

open access: yesInternational 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   +10 more
doaj   +1 more source

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

open access: yesApplied 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   +3 more
doaj   +1 more source

Gesture Recognition using MediaPipe and OpenCV

open access: yes
In this paper, we try to recreate a simple gesture-recognition model attached to a camera that would then be used to interact with a computer such as clicking and scrolling on websites. In order to do this, we used mediapipe's basic online gesture recognition AI and colab's capture video code in order to capture images that would then be fed into the ...
openaire   +2 more sources

Extracting Sign Language Articulation from Videos with MediaPipe.

open access: yes, 2023
This paper concerns evaluating methods for extracting phonological information of Swedish Sign Language signs from video data with MediaPipe’s pose estimation. The methods involve estimating i) the articulation phase, ii) hand dominance (left vs. right), iii) the number of hands articulating (one- vs.
openaire   +3 more sources

Hand Gesture Based Slide Control Using Computer Vision And Mediapipe

open access: yes
: This paper presents an advanced vision-based gesture-controlled presentation system using computer vision and MediaPipe frameworks. Traditional presentation methods depend on physical devices like keyboards or remotes, limiting natural interaction. Our
Siddhesh Shashikant Patil   +3 more
core   +1 more source

Arabic Sign Language Recognition with Deep Learning Models and Keypoint Landmarks

open access: yesELCVIA 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   +2 more
doaj   +1 more source

Klasifikasi dan deteksi pose pilates menggunakan mediapipe dan random forest classifier [PDF]

open access: yes
Pilates merupakan latihan yang fokus pada kekuatan inti, fleksibilitas, keseimbangan, dan postur tubuh. Tantangan utama dalam latihan ini adalah memastikan gerakan dilakukan dengan teknik yang benar untuk menghindari cedera dan meningkatkan efektivitas ...
Salsabila, Chaerunnisa   +3 more
core   +1 more source

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

open access: yesInternational 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   +7 more
doaj   +1 more source

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