Results 31 to 40 of about 5,171 (172)
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
doaj +1 more source
Multiview 3D Markerless Human Pose Estimation from OpenPose Skeletons [PDF]
, 2020 Despite the fact that marker-based systems for human motion estimation provide very accurate tracking of the human body joints (at mm precision), these systems are often intrusive or even impossible to use depending on the circumstances, e.g. markers cannot be put on an athlete during competition. Instrumenting an athlete with the appropriate number of
Maarten Slembrouck +8 more
openaire +1 more source
Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking. [PDF]
Autism ResABSTRACT Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements are early markers of restricted and repetitive behaviors (RRBs) in autism spectrum disorder (ASD). However, assessing mannerisms reliably is challenging.
Lemler C +8 more
europepmc +2 more sources
Computer Vision Technologies in Movement Disorders: A Systematic Review. [PDF]
Mov Disord Clin PractAbstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pecoraro PM +4 more
europepmc +2 more sources
A face recognition system for assistive robots [PDF]
, 2020 Assistive robots collaborating with people demand strong Human-Robot interaction capabilities. In this way, recognizing the person the robot has to interact with is paramount to provide a personalized service and reach a satisfactory end-user experience.
Chaves D +10 more
core +1 more source
Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks [PDF]
, 2017 This paper proposes a novel system to estimate and track the 3D poses of multiple persons in calibrated RGB-Depth camera networks. The multi-view 3D pose of each person is computed by a central node which receives the single-view outcomes from each ...
A Elhayek +15 more
core +2 more sources
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
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
doaj +1 more source
Emergent Leadership Detection Across Datasets [PDF]
, 2019 Automatic detection of emergent leaders in small groups from nonverbal behaviour is a growing research topic in social signal processing but existing methods were evaluated on single datasets -- an unrealistic assumption for real-world applications in ...
Bulling, Andreas, Müller, Philipp
core +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
doaj +1 more source