Results 11 to 20 of about 2,895,343 (277)
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
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Active learning enabled activity recognition [PDF]
© 2016 IEEE, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Hossain, H M Sajjad +2 more
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Detection and classification of acute psychological stress (APS) and physical activity (PA) in daily lives of people with chronic diseases can provide precision medicine for the treatment of chronic conditions such as diabetes.
Mohammad Reza Askari +4 more
doaj +1 more source
Activity and Fall detection have been a topic of keen interest in the field of ambient assisted living system research. Such systems make use of different sensing mechanisms to monitor human motion and aim to ascertain the activity being performed for ...
Abbas Shah Syed +3 more
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Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition
Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in machine learning, aided in part by the ready availability of detailed motion capture data from smartphones, fitness trackers, and smartwatches.
Fayez Alharbi +2 more
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Privacy‐preserving remote sensing images recognition based on limited visual cryptography
With the arrival of new data acquisition platforms derived from the Internet of Things (IoT), this paper goes beyond the understanding of traditional remote sensing technologies.
Denghui Zhang +4 more
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Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
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With advancement in the field of health and medicine, new and better sensors are being developed which help monitor various aspects of an individual’s health. To provide the users with effective analysis related to their health using these sensors, an optimized and accurate solution is required.
Chetashri Bhadane +3 more
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Human Activity Recognition by Sequences of Skeleton Features
In recent years, much effort has been devoted to the development of applications capable of detecting different types of human activity. In this field, fall detection is particularly relevant, especially for the elderly.
Heilym Ramirez +4 more
doaj +1 more source
Are Smart Homes Adequate for Older Adults with Dementia?
Smart home technologies can enable older adults, including those with dementia, to live more independently in their homes for a longer time. Activity recognition, in combination with anomaly detection, has shown the potential to recognise users’ daily ...
Gibson Chimamiwa +4 more
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