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Federated Learning for IoMT-Enhanced Human Activity Recognition with Hybrid LSTM-GRU Networks. [PDF]
Sensors (Basel)Albogamy FR.
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A diffusion model for inertial based time series generation on scarce data availability to improve human activity recognition. [PDF]
Sci RepOppel H, Munz M.
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Human activity recognition from textile electrocardiograms
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022Textile sensors for physiological signals bear the potential of unobtrusive and continuous application in daily life. Recently, textile electrocardiography (ECG) sensors became available which are of particular interest for physical activity monitoring due to the high effect of exercise on the heart rate.
Arne, Klingenberg +5 more
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Human Activity Recognition Based on Dynamic Active Learning
IEEE Journal of Biomedical and Health Informatics, 2021Activity of daily living is an important indicator of the health status and functional capabilities of an individual. Activity recognition, which aims at understanding the behavioral patterns of people, has increasingly received attention in recent years. However, there are still a number of challenges confronting the task.
Bi, Haixia +3 more
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Continuous human activity recognition
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005Effectively recognizing human activities requires at least 32 joint related degrees of freedom to be estimated so as to reliably track the human body in 3D. The particle filter is robust to distracting clutter by maintaining multiple hypotheses for each of these joint angles.
R.D. Green, L. Guan
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Blind Modalities for Human Activity Recognition
2023Human Activity Recognition (HAR) has attracted considerable interest due to its ability to facilitate automation in various application areas, including but not limited to smart homes, active assisted living, and security. At present, optical modalities such as RGB, depth, and thermal imaging are prevalent in the field due to the effectiveness of deep ...
Julian, Strohmayer, Martin, Kampel
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1997
A fundamental goal of work in recognition is to discover easily-computed visual features which are efficient indices of members of the class which is to be recognized. The hypothesis behind work in motion-based recognition is that features describing motion in the input can be efficient indices for large classes of objects and activities of interest to
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A fundamental goal of work in recognition is to discover easily-computed visual features which are efficient indices of members of the class which is to be recognized. The hypothesis behind work in motion-based recognition is that features describing motion in the input can be efficient indices for large classes of objects and activities of interest to
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Opportunistic Human Activity Recognition
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2016A lot of research has been done for human activity recognition. But most of it uses a static and immutable set of sensors known beforehand. This approach does not work when applied to a ubiquitous or mobile system, since we cannot know which sensors will be available in the users’ surroundings.
Gioanni, Luis +3 more
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Recognition of Human Activities
2011Computer Vision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the early 1960s. At the time, it was thought to be an easy problem with a solution probably possible over a summer.
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