Results 31 to 40 of about 902,851 (265)
Sensors, 2021 This review presents the state of the art and a global overview of research challenges of real-time distributed activity recognition in the field of healthcare.
Rani Baghezza +3 more
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A Comprehensive Study of Activity Recognition Using Accelerometers
Informatics, 2018 This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world settings.
Niall Twomey +6 more
doaj +1 more source
Sensors, 2022 The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments.
Miguel Ortiz-Barrios +6 more
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Recognition of Daily and Sports Activities
2018 IEEE International Conference on Big Data (Big Data), 2018 Since being physically inactive was reported as one of the major risk factor of mortality, classifying daily and sports activities becomes a critical task that may improve human life quality. In this paper, the daily and sports activities dataset was used in order to evaluate and validate the employed approach.
Inanç N., Kayri M., Ertu?rul O.F.
openaire +4 more sources
Activity Discovery and Activity Recognition: A New Partnership [PDF]
IEEE Transactions on Cybernetics, 2013 Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time from streaming data, but this presents a number of challenges not faced by traditional offline approaches. Among these challenges is handling the large amount of data that does not belong
Diane J. Cook +2 more
openaire +3 more sources
Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar
Leida xuebaoThrough-wall human pose reconstruction and behavior recognition have enormous potential in fields like intelligent security and virtual reality. However, existing methods for through-wall human sensing often fail to adequately model four-Dimensional (4D)
Rui ZHANG +7 more
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Applied Sciences, 2017 The intuitiveness of tangible user interface (TUI) is not only for its operator. It is quite possible that this type of user interface (UI) can also have an effect on the experience and learning of observers who are just watching the operator using it ...
Kazuo Isoda +8 more
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DiagnosticsBackground: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized ...
Mst Alema Khatun +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
On-Device Deep Personalization for Robust Activity Data Collection
Sensors, 2020 One of the biggest challenges of activity data collection is the need to rely on users and keep them engaged to continually provide labels. Recent breakthroughs in mobile platforms have proven effective in bringing deep neural networks powered ...
Nattaya Mairittha +2 more
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