Results 11 to 20 of about 684,631 (253)
Wearable Multifunctional Sensors for Human Activity Recognition [PDF]
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
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
A Review on Video-Based Human Activity Recognition
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
Window Size Impact in Human Activity Recognition
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
Human Activity Recognition via Attention-Augmented TCN-BiGRU Fusion [PDF]
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
Human Activity Recognition with Noise-Injected Time-Distributed AlexNet [PDF]
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
MediaPipe with GNN for Human Activity Recognition [PDF]
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]
: 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
Abstract: Human Activity Recognition (HAR) is one of the active research areas in computer vision as well as human computer interaction. However, it remains a very complex task, due to unresolvable challenges such as sensor motion, sensor placement, cluttered background, and inherent variability in the way activities are conducted by different humans ...
Morsing, Lukas Hedegaard +2 more
+4 more sources
Confidence-Calibrated Human Activity Recognition
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

