Results 211 to 220 of about 648,888 (255)

Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum. [PDF]

Sci Rep
Maray M.
europepmc   +1 more source

TCN-MAML: A TCN-Based Model with Model-Agnostic Meta-Learning for Cross-Subject Human Activity Recognition. [PDF]

Sensors (Basel)
Lin CY, Lin CY, Liu YT, Chen YW, Ng HF, Shih TK.   +5 more
europepmc   +1 more source

Robust two stages federated learning for sensor based human activity recognition with label noise. [PDF]

Sci Rep
Sun H, Yao J, Li X, Liu Y, Gu H.
europepmc   +1 more source

Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition. [PDF]

Sensors (Basel)
Ko JE, Kim S, Sul JH, Kim SM.
europepmc   +1 more source

Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion. [PDF]

Sensors (Basel)
Vernikos I, Spyrou E.
europepmc   +1 more source

Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity-A Review. [PDF]

Sensors (Basel)
Ye X, Sakurai K, Nair NC, Wang KI.
europepmc   +1 more source

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Human activity recognition from textile electrocardiograms

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Textile 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, Valentin, Purrucker, Willi, Schuler, Nagarajan, Ganapathy, Nicolai, Spicher, Thomas M, Deserno   +5 more
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Human Activity Recognition Based on Dynamic Active Learning

IEEE Journal of Biomedical and Health Informatics, 2021
Activity 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, Perello Nieto, Miquel, Santos-Rodriguez, Raul, Flach, Peter A   +3 more
openaire   +3 more sources

Continuous human activity recognition

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005
Effectively 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

2023
Human 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
openaire   +2 more sources