Results 31 to 40 of about 670,504 (156)
Physical Human Activity Recognition Using Wearable Sensors
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal +5 more
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A CSI-Based Multi-Environment Human Activity Recognition Framework
Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems.
Baha A. Alsaify +4 more
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State of the art on technological trends for the analysis of behavior and human activities
The study of human behavior allows the knowledge about people's behaviors, behavior determined by multiple factors: cultural, social, psychological, genetic, religious, among others, which affect the relationships and interaction with the environment ...
Freddy Oswaldo Ovalles-Pabón
doaj
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
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Context-Aware Human Activity Recognition in Industrial Processes
The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes.
Friedrich Niemann +3 more
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Fast Human Activity Recognition in Lifelogging [PDF]
This paper addresses the problem of fast Human Activity Recognition (HAR) in visual lifelogging. We identify the importance of visual features related to HAR and we specifically evaluate the HAR discrimination potential of Colour Histograms and Histogram of Oriented Gradients.
Terziyski, Stefan +2 more
openaire +3 more sources
This research focuses on Human Activity Recognition (HAR) using sensor-based data, primarily from gyroscopes and accelerometers, to classify and analyze human movements in real time. With the increasing adoption of wearable devices and smart environments, HAR has gained significant importance in applications such as healthcare, fitness tracking, smart ...
Gabriele Schabacher, Sophie Spallinger
+7 more sources
Hidden Markov Mined Activity Model for Human Activity Recognition
Object-usage-based human activity recognition systems require activity data for learning. Acquiring such data from the real world is expensive and time consuming. To overcome such difficulties, the exploitation of web activity data is gaining popularity.
A. M. Jehad Sarkar
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Boosting Inertial-Based Human Activity Recognition With Transformers
Activity recognition problems such as human activity recognition and smartphone location recognition can improve the accuracy of different navigation or healthcare tasks, which rely solely on inertial sensors.
Yoli Shavit, Itzik Klein
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Human Activity Recognition through Weighted Finite Automata
This work addresses the problem of human activity identification in an ubiquitous environment, where data is collected from a wide variety of sources.
Sergio Salomón, Cristina Tîrnăucă
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