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An overview of Human Action Recognition in sports based on Computer Vision [PDF]
Heliyon, 2022 Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and tennis to detect players and recognize their actions and teams' activities during training, matches, warm-ups, or competitions.
Kristina Host, Marina Ivašić-Kos
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Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities [PDF]
Sensors, 2023 Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A
Md Golam Morshed +3 more
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A large-scale fMRI dataset for human action recognition [PDF]
Scientific Data, 2023 Human action recognition is a critical capability for our survival, allowing us to interact easily with the environment and others in everyday life. Although the neural basis of action recognition has been widely studied using a few action categories ...
Ming Zhou +5 more
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LightGBM-Based Human Action Recognition Using Sensors [PDF]
SensorsIn recent years, research on human activity recognition (HAR) on smartphones has received extensive attention due to its portability. However, the discrimination issues between similar activities such as leaning forward and walking forward, as well as ...
Yinuo Liu, Ziwei Chen
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A Comprehensive Survey of Vision-Based Human Action Recognition Methods
Sensors, 2019 Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision.
Hong-Bo Zhang +6 more
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A Two-Stream Method for Human Action Recognition Using Facial Action Cues [PDF]
SensorsHuman action recognition (HAR) is a critical area in computer vision with wide-ranging applications, including video surveillance, healthcare monitoring, and abnormal behavior detection. Current HAR methods predominantly rely on full-body data, which can
Zhimao Lai, Yan Zhang, Xiubo Liang
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MF-Match: A Semi-Supervised Model for Human Action Recognition [PDF]
SensorsHuman action recognition (HAR) technology based on radar signals has garnered significant attention from both industry and academia due to its exceptional privacy-preserving capabilities, noncontact sensing characteristics, and insensitivity to lighting ...
Tianhe Yun, Zhangang Wang
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Deep Learning based Human Action Recognition [PDF]
ITM Web of Conferences, 2021 Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications.
Pandey Ritik +3 more
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An Overview of the Vision-Based Human Action Recognition Field
Mathematical and Computational Applications, 2023 Artificial intelligence’s rapid advancement has enabled various applications, including intelligent video surveillance systems, assisted living, and human–computer interaction.
Fernando Camarena +3 more
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I3D-Shufflenet Based Human Action Recognition
Algorithms, 2020 In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu +6 more
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