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The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey
Sensors, 2022 Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing approaches.
Sizhen Bian +3 more
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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
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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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A CSI-Based Multi-Environment Human Activity Recognition Framework
Applied Sciences, 2022 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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A computer model of auditory efferent suppression: Implications for the recognition of speech in noise [PDF]
, 2010 The neural mechanisms underlying the ability of human listeners to recognize speech in the presence of background noise are still imperfectly understood.
Brown, GJ, Ferry, RT, Meddis, R
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Human Activity Recognition Methods
International Journal of Engineering and Advanced Technology, 2020 Human action in a video based application plays a significant role that alerts the researchers towards recognizing the motion of human. Other video applications also have video content extraction, summarization, and human computer interactions. The existing methods needs manual footnote of pertinent portion of actions of our interest.
Dhivya Karunya S, Krishna Kumar
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTThis 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
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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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Human Activity Recognition through Weighted Finite Automata
Proceedings, 2018 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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