A joint study of the challenges, opportunities, and roadmap of mlops and aiops: A systematic survey

J Diaz-De-Arcaya, AI Torre-Bastida, G Zárate… - ACM Computing …, 2023 - dl.acm.org
Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

[HTML][HTML] Human pose estimation using deep learning: a systematic literature review

E Samkari, M Arif, M Alghamdi… - Machine Learning and …, 2023 - mdpi.com
Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …

[HTML][HTML] Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker

S Kim, S Park, S Lee, SH Seo, HS Kim, Y Cha… - Scientific Reports, 2023 - nature.com
The aim of this study is to compare variable importance across multiple measurement tools,
and to use smart insole and artificial intelligence (AI) gait analysis to create variables that …

[HTML][HTML] Unified end-to-end YOLOv5-HR-TCM framework for automatic 2D/3D human pose estimation for real-time applications

HC Nguyen, TH Nguyen, R Scherer, VH Le - Sensors, 2022 - mdpi.com
Three-dimensional human pose estimation is widely applied in sports, robotics, and
healthcare. In the past five years, the number of CNN-based studies for 3D human pose …

[HTML][HTML] Estimating ground reaction forces from two-dimensional pose data: a biomechanics-based comparison of alphapose, blazepose, and openpose

M Mundt, Z Born, M Goldacre, J Alderson - Sensors, 2022 - mdpi.com
The adoption of computer vision pose estimation approaches, used to identify keypoint
locations which are intended to reflect the necessary anatomical landmarks relied upon by …

[HTML][HTML] Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation

T Baumgartner, B Paassen, S Klatt - Scientific Reports, 2023 - nature.com
Collecting large datasets for investigations into human locomotion is an expensive and labor-
intensive process. Methods for 3D human pose estimation in the wild are becoming …

Intelligent wearable systems: Opportunities and challenges in health and sports

L Yang, O Amin, B Shihada - ACM Computing Surveys, 2024 - dl.acm.org
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions

PK Mishra, A Mihailidis, SS Khan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The existing methods for video anomaly detection mostly utilize videos containing
identifiable facial and appearance-based features. The use of videos with identifiable faces …

[HTML][HTML] Analysis of competition and training videos of speed climbing athletes using feature and human body keypoint detection algorithms

D Pandurevic, P Draga, A Sutor, K Hochradel - Sensors, 2022 - mdpi.com
Compared to 25 years ago, the climbing sport itself has changed dramatically. From a rock
climbing modification to a separation in three independent disciplines, the requirements to …

[HTML][HTML] Joint graph convolution networks and transformer for human pose estimation in sports technique analysis

H Cheng, J Wang, A Zhao, Y Zhong, J Li… - Journal of King Saud …, 2023 - Elsevier
Human pose estimation has various applications in domains such as sports technology
analysis, virtual reality, and education. However, most previous studies focused on the …