Results 31 to 40 of about 3,499 (212)
With the advancement of technology, human-robot interaction (HRI) is becoming more intuitive, including through hand gesture-based control. This study aims to develop a real-time hand gesture recognition system to control a quadcopter swarm within a ...
Ryan Satria Wijaya +3 more
doaj +1 more source
Motion analysis in sport climbing using Mediapipe
LAUREA MAGISTRALEL’analisi sportiva fornisce informazioni su alcuni aspetti di uno sport che sarebbero normalmente difficili da ottenere. L’analisi sportiva utilizza dati raccolti attraverso diversi approcci per migliorare le prestazioni o affrontare ...
ESMAIL, OMAR KHALED ALY
core
MediaPipe with GNN for Human Activity Recognition
Human interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities. This domain closely aligns with machine learning, involving the development of algorithms and models adept at learning to ...
Nozha Jlidi +3 more
openaire +2 more sources
AirStrum: A virtual guitar using real-time hand gesture recognition and strumming technique [PDF]
The efforts in the field of virtualizing the guitar into well-modelled software systems have faced a lot of practical limitations. The existing guitar simulation programs require additional devices such as Electromyography (EMG) controllers, or Musical ...
Beulah ARUL +2 more
doaj +1 more source
Indian Sign Language Recognition Using Mediapipe Holistic
Deaf individuals confront significant communication obstacles on a daily basis. Their inability to hear makes it difficult for them to communicate with those who do not understand sign language. Moreover, it presents difficulties in educational, occupational, and social contexts.
Velmathi G, Kaushal Goyal
openaire +3 more sources
ViSL One-shot: generating Vietnamese sign language data set
The development of methods for automatic recognition of objects in a video stream, in particular, recognition of sign language, requires large amounts of video data for training. An established method of data enrichment for machine learning is distortion
K. Dang, I. A. Bessmertny
doaj +1 more source
Sign Language Recognition: Can depth cameras be used to correct Mediapipe errors?
Mediapipe is increasingly deployed in Sign Language Recognition (SLR) pipelines. This paper highlights errors in Mediapipe that adversely affect the performance of these models. The use of depth cameras has been intuitively proposed for the correction of
Dr. Anthony Ventresque, FRANK FOWLEY
core +1 more source
Personalized Gym Trainer Using Mediapipe
Abstract: With the growing demand in personalised fitness experiences, this paper takes a fresh look at home workouts by creating a Personalised Gym Trainer with the Mediapipe library. This sophisticated device combines pose detection technology with voice assistance to provide users with real-time feedback and personalised instruction while exercising.
openaire +1 more source
Verification of Criterion-Related Validity for Developing a Markerless Hand Tracking Device
Physicians, physical therapists, and occupational therapists have traditionally assessed hand motor function in hemiplegic patients but often struggle to evaluate complex hand movements.
Ryota Suwabe +2 more
doaj +1 more source
A MediaPipe and CNN-Based Framework for Real-Time Sign Language Recognition and Translation [PDF]
This research is being aimed at the real-time sign language translation system developed in the absence of dedicated equipment like sensor gloves, under the sole observation of a standard camera and computer vision techniques.
More Priyanka +4 more
doaj +1 more source

