Published in Frontiers in Artificial Intelligence
Introduction Falls have been acknowledged as a major public health issue around the world. Early detection of fall risk is pivotal for preventive measures. Traditional clinical assessments, although reliable, are resource-intensive and may not always be feasible. Methods This study explores the efficacy of artificial intelligence (AI) in predicting...
BACKGROUND: Movement disorders in children and adolescents with dyskinetic cerebral palsy (CP) are commonly assessed from video recordings, however scoring is time-consuming and expert knowledge is required for an appropriate assessment. OBJECTIVE: To explore a machine learning approach for automated classification of amplitude and duration of dist...
While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use contexts. To allow the development and assessment of physical rehabilitation by an intelligent tutoring system, we identify in this article four challenges to address and propos...
Odhad a sledování lidské pozice jsou základní úkoly v počítačovém vidění. Cílem této práce je poskytnout srovnání některých dostupných metod pro odhad a sledování pozic a vytvořit aplikaci pro jejich vizualizaci. Nejprve je popsán problém odhadu pozice spolu s vybranými metodami, vybranými datovými soubory a jejich metrikami přesnosti. Dále je obdo...
Published in Ergonomics
The aim is to develop a computer-based assessment model for novel dynamic postural evaluation using RULA. The present study proposed a camera-based, three-dimensional (3D) dynamic human pose estimation model using 'BlazePose' with a data set of 50,000 action-level-based images. The model was investigated using the Deep Neural Network (DNN) and Tran...
Published in Frontiers in Digital Health
In recent years the healthcare industry has had increased difficulty seeing all low-risk patients, including but not limited to suspected osteoarthritis (OA) patients. To help address the increased waiting lists and shortages of staff, we propose a novel method of automated biomarker identification and quantification for the monitoring of treatment...
Published in Sensors (Basel, Switzerland)
Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors' ability to monitor patients' recovery progress in person. Deep Learning methods offer a solution by enabling doctors to optimize their time with each patient and disting...
Published in Sensors (Basel, Switzerland)
Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human-computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature level, which is vulnerable to three problems: object occlusion, keypoints ghost, and neighbor po...
Published in Journal of Physics: Conference Series
The lightweight of human pose estimation model is one current research hotspot in the field of computer vision. The emphasis of current research is to promise lightweight model while improving the network performance. In view of computing and processing performance of monocular static image pose estimation method deployed in mobile devices, a distr...
Analýza pohybu kojenců je důležitá při diagnostice motorických a kognitivních vývojových poruch, jako je například dětská mozková obrna. Automatizovaná extrakce pohybu kojenců z RGB videí by mohla usnadnit včasnou a vzdálenou diagnostiku těchto poruch před osobním posouzením vyškoleným odborníkem. K dispozici jsou techniky odhadu polohy člověka ze ...
