The paper aims to apply the deep learning-based image visualization technology to extract, recognize, and analyze human skeleton movements and evaluate the effect of the deep learning-based human-computer interaction (HCI) system. Dance education is researched. Firstly, the Visual Geometry Group Network (VGGNet) is optimized using Convolutional Neural Network (CNN). Then, the VGGNet extracts the human skeleton movements in the OpenPose database. Secondly, the Long Short-Term Memory (LSTM) network is optimized and recognizes human skeleton movements. Finally, an HCI system for dance education is designed based on the extraction and recognition methods of human skeleton movements. Results demonstrate that the highest extraction accuracy is 96%, and the average recognition accuracy of different dance movements is stable. The effectiveness of the proposed model is verified. The recognition accuracy of the optimized F-Multiple LSTMs is increased to 88.9%, suitable for recognizing human skeleton movements. The dance education HCI system's interactive accuracy built by deep learning-based visualization technology reaches 92%; the overall response time is distributed between 5.1 s and 5.9 s. Hence, the proposed model has excellent instantaneity. Therefore, the deep learning-based image visualization technology has enormous potential in human movement recognition, and combining deep learning and HCI plays a significant role.
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http://dx.doi.org/10.1155/2022/2538896 | DOI Listing |
JSLS
January 2025
Western New York Urology Associates, Cheektowaga, New York, USA. (Dr. Eddib).
Background: Sacrocolpopexy has become a favored treatment of pelvic organ prolapse due to its durability and efficacy. Sacrocolpopexy has not been standardized and there is no categorization scheme to facilitate communication or research efforts for the procedure. A systematic review was conducted to facilitate construction of a classification system for sacrocolpopexy based on extent of vaginal dissection described in the medical literature.
View Article and Find Full Text PDFJ Oral Facial Pain Headache
June 2024
Department of Maxillofacial Surgery, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania.
Osteoma is a rare benign tumor primarily affecting the craniofacial skeleton. Coronary osteomas in the coronoid process are uncommon and asymptomatic until they affect mandibular function. This report presents a case of coronoid osteoma with its diagnosis, treatment and surgical approach.
View Article and Find Full Text PDFJ Oral Facial Pain Headache
June 2024
Department of Dentistry, Brazilian Centre for Evidence Based Research, Federal University of Santa Catarina, 88040-900 Florianópolis, SC, Brazil.
To synthesize scientific knowledge regarding the prevalence of neuropathies and nerve injuries caused by dental implant placement in mandible and the available management. Observational and interventional studies evaluating neuropathies occurrence in adults who underwent dental implant surgery were included. Any neuropathy diagnostic was accepted.
View Article and Find Full Text PDFJ Oral Facial Pain Headache
December 2024
Department of Medical Biotechnologies, School of Dentistry, University of Siena, 53100 Siena, Italy.
To assess the correlation between awake bruxism (AB) behaviors and psychological status in a group of healthy young adults. Participants were recruited at the University of Siena, Siena, Italy, by advertising the initiative. The reported frequency of AB behaviors was evaluated through the Oral Behavior Checklist (OBC).
View Article and Find Full Text PDFMed Sci Sports Exerc
February 2025
Cognition, Neuroplasticity, & Sarcopenia (CNS) Laboratory, Institute of Exercise & Rehabilitation Science, University of Central Florida, Orlando, FL.
Purpose: Reduced force control after anterior cruciate ligament (ACL) injury and reconstruction may contribute to poor function. Various metrics (linear and nonlinear) have been employed to quantify force control. The aims of this review were to synthesize evidence assessing knee extensor and flexor force control after ACL injury (ACLD) or reconstruction (ACLR) and to investigate the potential effects of injury management (e.
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