Results 101 to 110 of about 3,499 (212)

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

Технология подготовки набора данных на основе MediaPipe для перевода текста на узбекский жестовый язык

This paper discusses the problem of creating a multimodal dataset based on MediaPipe technology for automatic translation of Uzbek sign language into text and speech.
Джураев, Д.Б.
core   +1 more source

Markerless 3D motion capture based on MediaPipe

LAUREA MAGISTRALEIl tracciamento del movimento umano è il processo di acquisizione e ricostruzione del movimento umano. Ad oggi, lo standard di riferimento è rappresentato dai sistemi marker-based, che applicano markers riflettenti su punti di ...
Balbi, Carola
core  

Validation of a MediaPipe system for markerless motion analysis during virtual reality rehabilitation [PDF]

LAUREA MAGISTRALEL’analisi del movimento ha acquisito crescente rilevanza in vari ambiti disciplinari nel corso degli ultimi anni. I sistemi markerless e le unità di misura inerziale (IMUs), offrono vantaggi significativi rispetto ai metodi tradizionali
FRANCIA, CARLALBERTO
core  

Практичне використання технології Mediapipe hands для детектування рухових розладів верхніх кінцівок

MediaPipe Hands представляє собою компонент в рамках комплексного проєкту MediaPipe, розробленого та підтримуваного корпорацією Google, що спрямований на реалізацію алгоритмів штучного інтелекту на мобільних ...
Андрущенко, М. А.
core  

Hand Gesture Recognition Using Mediapipe and Classification Neural Network

U ovom radu predstavljamo sustav za prepoznavanje gesti ruke koji koristi MediaPipe Hands biblioteku za detekciju landmarkova i klasifikacijsku neuronsku mrežu za prepoznavanje 10 različitih gesti. Sustav omogućava prepoznavanje gesti u realnom vremenu s
Tomljanović, Luka
core   +1 more source

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

Prayer pose classification using mediapipe and Tensor flow

This paper explores the utilization of MediaPipe and TensorFlow for yoga pose classification and discusses the potential applications of these methods in other pose classification tasks such as prayer pose classification.
Sairafi, Noor
core  

Integrating skeleton based representations for robust yoga pose classification using deep learning models. [PDF]

Sci Rep
Mohiuddin M, Hossain SMM, Khanam S, Barua P, Barua A, Hossain MDT.   +5 more
europepmc   +1 more source

Face acupoint recognition and localization based on geometric topological relationships. [PDF]

J Tradit Chin Med
Yifan D, Hongxing Z, Qiang HE.
europepmc   +1 more source