Results 101 to 110 of about 4,892 (216)

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

The Development and Validation of an Artificial Intelligence Model for Estimating Thumb Range of Motion Using Angle Sensors and Machine Learning: Targeting Radial Abduction, Palmar Abduction, and Pronation Angles

Applied Sciences
An accurate assessment of thumb range of motion is crucial for diagnosing musculoskeletal conditions, evaluating functional impairments, and planning effective rehabilitation strategies. In this study, we aimed to enhance the accuracy of estimating thumb
Yutaka Ehara, Atsuyuki Inui, Yutaka Mifune, Kohei Yamaura, Tatsuo Kato, Takahiro Furukawa, Shuya Tanaka, Masaya Kusunose, Shunsaku Takigami, Shin Osawa, Daiji Nakabayashi, Shinya Hayashi, Tomoyuki Matsumoto, Takehiko Matsushita, Ryosuke Kuroda   +14 more
doaj   +1 more source

Gesture Recognition using MediaPipe and OpenCV

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.

, 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 GESTURES PREDICTION USING MEDIAPIPE ALGORITHM

Hand Gesture Prediction Using MediaPipe – Description Hand Gesture Prediction using MediaPipe is a computer vision–based system that detects and classifies human hand gestures in real time using machine learning and landmark detection techniques. 1.
KAVYA, P, KALYAN, SWARNA, RAMAPRASAD, S, DHARMENDRA, NUVVURU   +3 more
openaire   +2 more sources

Sign Language Detection Using Mediapipe and ML

International Journal for Research in Applied Science and Engineering Technology
Sign language recognition systems are crucial for improving communication between the hearing and deaf communities. This paper explores the development of a real-time sign language detection system that uses a combination of computer vision techniques and machine learning algorithms.
openaire   +1 more source

Video-Based Arabic Sign Language Recognition with Mediapipe and Deep Learning Techniques. [PDF]

J Imaging
El-Rushaidat D, Almohammad N, Yeh R, Fayyad K.   +3 more
europepmc   +1 more source

Automatic pose estimation in newborn infants: Lessons from the Baby Grow study. [PDF]

Behav Res Methods
Sotoodeh MS, Ossmy O, Donati G, Hall J, Rowan H, Forrester GS.   +5 more
europepmc   +1 more source

Lightweight Visual Dynamic Gesture Recognition System Based on CNN-LSTM-DSA. [PDF]

Sensors (Basel)
Wang Z, Wu Z, Qi R, Dou X.
europepmc   +1 more source

Estimation of the Knee Joint with Single-Camera Smartphone. [PDF]

Sensors (Basel)
Russo M, Ricciardi C, Romano M, Santoriello V, Ponsiglione AM, Amato F, Spadea MF.   +6 more
europepmc   +1 more source