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Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition
Sensors, 2022 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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Applications of mobile activity recognition [PDF]
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012 Activity Recognition (AR), which identifies the activity that a user performs, is attracting a tremendous amount of attention, especially with the recent explosion of smart mobile devices. These ubiquitous mobile devices, most notably but not exclusively smartphones, provide the sensors, processing, and communication capabilities that enable the ...
Jeffrey W. Lockhart +2 more
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StreamAR: incremental and active learning with evolving sensory data for activity recognition [PDF]
, 2012 Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat +11 more
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Privacy‐preserving remote sensing images recognition based on limited visual cryptography
CAAI Transactions on Intelligence Technology, 2023 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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Entropy, 2022 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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CoRR, 2019 To coordinate with other systems, agents must be able to determine what the systems are currently doing and predict what they will be doing in the future---plan and goal recognition. There are many methods for plan and goal recognition, but they assume a passive observer that continually monitors the target system. Real-world domains, where information
Christopher Amato, Andrea Baisero
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Performance metrics for activity recognition [PDF]
ACM Transactions on Intelligent Systems and Technology, 2011 In this article, we introduce and evaluate a comprehensive set of performance metrics and visualisations for continuous activity recognition (AR). We demonstrate how standard evaluation methods, often borrowed from related pattern recognition problems, fail to capture common artefacts found in continuous AR—specifically event fragmentation, event ...
Jamie A. Ward +2 more
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Human Activity Recognition by Sequences of Skeleton Features
Sensors, 2022 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
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KCAR : a knowledge-driven approach for concurrent activity recognition [PDF]
, 2015 Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing.
Ye, Juan +4 more
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Are Smart Homes Adequate for Older Adults with Dementia?
Sensors, 2022 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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