Results 11 to 20 of about 671,529 (252)
Multi-Sensors for Human Activity Recognition
Sensors, 2023 Human activity recognition (HAR) has made significant progress in recent years, with growing applications in various domains, and the emergence of wearable and ambient sensors has provided new opportunities in the field [...]
Athina Tsanousa +3 more
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Human Activity Recognition (HAR) in Healthcare
Applied Sciences, 2023 Developments in the medical and technological fields have led to a longer life expectancy [...]
Luigi Bibbò, Marley M. B. R. Vellasco
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Lightweight human activity recognition learning model
工程科学学报, 2022 In the past few decades, smartphone-based human activity recognition research has played an important role in many fields, including smart buildings, healthcare, and the military.
Jing NAN +3 more
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Acoustic- and Radio-Frequency-Based Human Activity Recognition
Sensors, 2022 In this work, a hybrid radio frequency (RF)- and acoustic-based activity recognition system was developed to demonstrate the advantage of combining two non-invasive sensors in Human Activity Recognition (HAR) systems and smart assisted living.
Masoud Mohtadifar +2 more
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RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA
International Journal of Advanced Studies, 2022 The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity.
Anna V. Pyataeva +3 more
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Human Activity Recognition with Meta-learning and Attention [PDF]
Jisuanji kexue, 2023 With the in-depth research of deep learning technology,its application and development in the field of behavior recognition have been greatly promoted.Current research on behavior recognition based on deep learning usually requires a large training data ...
WANG Jiahao, ZHONG Xin, LI Wenxiong, ZHAO Dexin
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Human Activity Recognition [PDF]
, 2005 Motion is an important cue for the human visual system Mobiles have fascinated children, Zeno (circa 500 B.C.) studied moving arrows to pose a paradox and Zeke is investigating the human brain devoted to the understanding of motion. In computer vision research, motion has played an important role for the past thirty years.
Rama Chellappa +2 more
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Personalization in Human Activity Recognition
CoRR, 2020 2 ...
Anna Ferrari +3 more
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Indirect Recognition of Predefined Human Activities [PDF]
Sensors, 2020 The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants. KNX (Konnex) standard-based devices were selected for smart home automation and data collection.
Ojan Majidzadeh Gorjani +3 more
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LSTM-CNN Architecture for Human Activity Recognition
IEEE Access, 2020 In the past years, traditional pattern recognition methods have made great progress. However, these methods rely heavily on manual feature extraction, which may hinder the generalization model performance.
Kun Xia, Jianguang Huang, Hanyu Wang
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