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Sook-Ling Chua, Lee Kien Foo and Hans W. Guesgen
The smart home has begun playing an important role in supporting independent living by monitoring the activities of daily living, typically for the elderly who live alone. Activity recognition in smart homes has been studied by many researchers with much...
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Alaa E. Abdel Hakim and Wael Deabes
In supervised Activities of Daily Living (ADL) recognition systems, annotating collected sensor readings is an essential, yet exhaustive, task. Readings are collected from activity-monitoring sensors in a 24/7 manner. The size of the produced dataset is ...
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Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter Flach and Ian Craddock
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. In these environments, data c...
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Isibor Kennedy Ihianle, Usman Naeem, Syed Islam and Abdel-Rahman Tawil
Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired. Current knowledge-driven and ontology-based techniques model object concepts from assumptions an...
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Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, Sascha Feldhorst and Michael Ten Hompel
Human activity recognition (HAR) is a classification task for recognizing human movements. Methods of HAR are of great interest as they have become tools for measuring occurrences and durations of human actions, which are the basis of smart assistive tec...
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Daniela Micucci, Marco Mobilio and Paolo Napoletano
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually processed by machine-learning-based algorithms to classify human activities....
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Fais Al Huda,Herman Tolle,Rosa Andrie Asmara
Pág. pp. 67 - 77
Human activity recognition is one of the popular research fields. The results of this study can be applied to many other fields such as the military, commercialism, and health. With the advent of the wearable head mounted display device mainly like googl...
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