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Luís Fonseca, Fernando Ribeiro and José Metrôlho
In-bed posture classification has attracted considerable research interest and has significant potential to enhance healthcare applications. Recent works generally use approaches based on pressure maps, machine learning algorithms and focused mainly on f...
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Christine Dewi, Abbott Po Shun Chen and Henoch Juli Christanto
Hand detection is a key step in the pre-processing stage of many computer vision tasks because human hands are involved in the activity. Some examples of such tasks are hand posture estimation, hand gesture recognition, human activity analysis, and other...
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Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
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Yu-Shiuan Tsai and Si-Jie Chen
In terms of gait recognition, face recognition is currently the most commonly used technology with high accuracy. However, in an image, there is not necessarily a face. Therefore, face recognition cannot be used if there is no face at all. However, when ...
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Hengyi Ji, Jionghua Yu, Fengdan Lao, Yanrong Zhuang, Yanbin Wen and Guanghui Teng
The accurate and rapid detection of objects in videos facilitates the identification of abnormal behaviors in pigs and the introduction of preventive measures to reduce morbidity. In addition, accurate and effective pig detection algorithms provide a bas...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Sanjay Misra and Robertas Damasevicius
Posture detection targets toward providing assessments for the monitoring of the health and welfare of humans have been of great interest to researchers from different disciplines. The use of computer vision systems for posture recognition might result i...
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Debabrata Swain, Santosh Satapathy, Biswaranjan Acharya, Madhu Shukla, Vassilis C. Gerogiannis, Andreas Kanavos and Dimitris Giakovis
Activity recognition is the process of continuously monitoring a person?s activity and movement. Human posture recognition can be utilized to assemble a self-guidance practice framework that permits individuals to accurately learn and rehearse yoga postu...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Sanjay Misra and Robertas Damasevicius
Human posture classification (HPC) is the process of identifying a human pose from a still image or moving image that was recorded by a digicam. This makes it easier to keep a record of people?s postures, which is helpful for many things. The intricate s...
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Roseline Oluwaseun Ogundokun, Rytis Maskeliunas and Robertas Dama?evicius
With the advancement in pose estimation techniques, human posture detection recently received considerable attention in many applications, including ergonomics and healthcare. When using neural network models, overfitting and poor performance are prevale...
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Keison Tang, Arjun Kumar, Muhammad Nadeem and Issam Maaz
Sleep pattern and posture recognition have become of great interest for a diverse range of clinical applications. Autonomous and constant monitoring of sleep postures provides useful information for reducing the health risk. Prevailing systems are design...
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