A Framework for Fall Detection Based on OpenPose Skeleton and LSTM/GRU Models
Applied Sciences, 2020 Falling is one of the causes of accidental death of elderly people over 65 years old in Taiwan. If the fall incidents are not detected in a timely manner, it could lead to serious injury or even death of those who fell.
Chuan-Bi Lin +3 more
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IoT-based 3D pose estimation and motion optimization for athletes: Application of C3D and OpenPose
Alexandria Engineering JournalThis study proposes the IoT-Enhanced Pose Optimization Network (IE-PONet) for high-precision 3D pose estimation and motion optimization of track and field athletes.
Fei Ren, Chao Ren, Tianyi Lyu
semanticscholar +2 more sources
Two-dimensional video-based analysis of human gait using pose estimation.
PLoS Computational Biology, 2021 Human gait analysis is often conducted in clinical and basic research, but many common approaches (e.g., three-dimensional motion capture, wearables) are expensive, immobile, data-limited, and require expertise.
Jan Stenum +2 more
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Application of OpenPose and deep learning for intelligent surveillance reconnaissance system
선진국방연구, 2020 In this study, defense surveillance reconnaissance systems were implemented through deep learning networks such as OpenPose and deep neural networks (DNN), convolutional neural networks (CNN), and long short-term memory (LSTM).
Kyujung Choi, Suyeong Oh, Chaebong Sohn
doaj +3 more sources
3D Tracking of Human Motion Using Visual Skeletonization and Stereoscopic Vision
Frontiers in Bioengineering and Biotechnology, 2020 The design of markerless systems to reconstruct human motion in a timely, unobtrusive and externally valid manner is still an open challenge. Artificial intelligence algorithms based on automatic landmarks identification on video images opened to a new ...
Matteo Zago +5 more
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Sensors, 2022 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 biomechanists for musculoskeletal modelling, has gained increasing traction in
Marion Mundt +3 more
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A Study on How to Utilize Digital Twin-based Machine Learning and Openpose for Poppy Robot’s Motion Control [PDF]
한국정밀공학회지The key components of smart manufacturing, a central concept in the era of the 4th Industrial Revolution, consist of digital twin technology, AI, and computer vision technology. In this study, these technologies were utilized to govern the Poppy robot, a
Bum Jin Kim, Seok Kim, Young Tae Cho
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Life Signs Detector Using a Drone in Disaster Zones
Remote Sensing, 2019 In the aftermath of a disaster, such as earthquake, flood, or avalanche, ground search for survivors is usually hampered by unstable surfaces and difficult terrain.
Ali Al-Naji +3 more
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Anthropometric Ratios for Lower-Body Detection Based on Deep Learning and Traditional Methods
Applied Sciences, 2022 Lower-body detection can be useful in many applications, such as the detection of falling and injuries during exercises. However, it can be challenging to detect the lower-body, especially under various lighting and occlusion conditions.
Jermphiphut Jaruenpunyasak +2 more
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Feasibility of OpenPose markerless motion analysis in a real athletics competition
Frontiers in Sports and Active LivingThis study tested the performance of OpenPose on footage collected by two cameras at 200 Hz from a real-life competitive setting by comparing it with manually analyzed data in SIMI motion.
Neil J. Cronin +6 more
semanticscholar +1 more source