Results 41 to 50 of about 2,295 (204)
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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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
doaj +1 more source
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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Testing of body position estimation efficiency using the OpenPose library
, 2022 Jedan od postupaka računalnog vida je detekcija položaja tijela. OpenPose je biblioteka koja položaj tijela procjenjuje identificiranjem ključnih točaka na tijelu. Brojni su izazovi s kojima se OpenPose susreće pa je korisno odrediti u kojim uvjetima on
Marinčić, Lucija
core +1 more source
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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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
doaj +1 more source
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
doaj +1 more source
Meikuang AnquanA lightweight human pose recognition model based on OpenPose improvement is proposed to address the difficulty of intelligent supervision of abnormal behaviors of coal mine workers.
Liang YANG +3 more
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Butterworth filter in output from OpenPose.
, 2022 Butterworth filter with 1 Hz, 2 Hz and 3 Hz cut off frequencies (c/o freq.) applied to the OpenPose signal of the thumb interphalangeal joint angle for one representative participant.
Letizia Gionfrida (14053664) +3 more
core +1 more source
Sensors, 2023 Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-
Najeeb ur Rehman Malik +3 more
doaj +1 more source