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Wearable Multifunctional Sensors for Human Activity Recognition [PDF]

open access: yesSensors
Driven by the profound convergence of the Internet of Things (IoT) and ubiquitous computing, wearable multifunctional sensors have emerged as a key technology for high-precision human activity recognition (HAR).
Lu Zhang   +7 more
doaj   +2 more sources

A Review of Human Activity Recognition Methods

open access: yesFrontiers in Robotics and AI, 2015
Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas   +2 more
doaj   +3 more sources

Human Activity Recognition with Noise-Injected Time-Distributed AlexNet [PDF]

open access: yesBiomimetics
This study investigates the integration of biologically inspired noise injection with a time-distributed adaptation of the AlexNet architecture to enhance the performance and robustness of human activity recognition (HAR) systems.
Sanjay Dutta   +2 more
doaj   +2 more sources

Window Size Impact in Human Activity Recognition

open access: yesSensors, 2014
Signal segmentation is a crucial stage in the activity recognition process; however, this has been rarely and vaguely characterized so far. Windowing approaches are normally used for segmentation, but no clear consensus exists on which window size should
Oresti Banos   +4 more
doaj   +3 more sources

A Review on Video-Based Human Activity Recognition

open access: yesComputers, 2013
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications ...
Shian-Ru Ke   +5 more
doaj   +3 more sources

Human Activity Recognition via Attention-Augmented TCN-BiGRU Fusion [PDF]

open access: yesSensors
With the widespread application of wearable sensors in health monitoring and human–computer interaction, deep learning-based human activity recognition (HAR) research faces challenges such as the effective extraction of multi-scale temporal features and ...
Ji-Long He   +3 more
doaj   +2 more sources

MediaPipe with GNN for Human Activity Recognition [PDF]

open access: yesJournal of Universal Computer Science
Human interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities.
Nozha Jlidi   +3 more
doaj   +4 more sources

Human Activity Recognition: literature Review [PDF]

open access: yesمجلة التربية والعلم, 2021
: Human activity recognition has an important role in the interaction between human and human relationships because it provides information about a person's identity, personality, activities, psychological state, and health, all this information is ...
mais irreem atheed   +2 more
doaj   +1 more source

Human activity recognition

open access: yesInternational Journal of Scientific Research in Science, Engineering and Technology, 2022
The human activity monitoring system helps to differentiate a person's physical actions such as walking, clapping, shaking hands etc. Activity awareness is the foundation for the development of many potential applications for health, wellness and sports. HAR has a variety of uses because of its impact on health.
Morsing, Lukas Hedegaard   +2 more
  +4 more sources

Confidence-Calibrated Human Activity Recognition

open access: yesSensors, 2021
Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sensors.
Debaditya Roy   +2 more
doaj   +1 more source

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