Results 41 to 50 of about 15,643,473 (301)
State of the art on technological trends for the analysis of behavior and human activities
Visión Electrónica, 2022 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
Sensors, 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
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Boosting Inertial-Based Human Activity Recognition With Transformers
IEEE Access, 2021 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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Fast Human Activity Recognition in Lifelogging [PDF]
, 2015 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
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Hidden Markov Mined Activity Model for Human Activity Recognition
International Journal of Distributed Sensor Networks, 2014 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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A Review of Human Activity Recognition Methods
Frontiers 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
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Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]
, 2013 Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett +7 more
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Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
IEEE Access, 2022 The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors.
Minjung Lee, Seoung Bum Kim
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Zero-Shot Human Activity Recognition Using Non-Visual Sensors
Sensors, 2020 Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose ...
Fadi Al Machot +2 more
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Code for human activity recognition
, 2022 The model used in this study for human activity recognition Some other baseline models
anna li (12472653) +1 more
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