Results 21 to 30 of about 918,415 (266)
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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Active Goal Recognition Design [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting.
Kevin C. Gall, Wheeler Ruml, Sarah Keren
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Sensors, 2021 The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods.
Maike Stoeve +4 more
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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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A Transformer-Based Hybrid Model for Human Activity Recognition Using Smart Home Environmental Sensor Data [PDF]
مدیریت مهندسی و رایانش نرمWith the rapid expansion of smart homes, accurate and automatic recognition of human activities has become one of the key challenges in the fields of artificial intelligence and the Internet of Things. This technology has vital applications in areas such
Ronak Fatahi, Fatemeh Sadat Lesani
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A Hierarchy-Based System for Recognizing Customer Activity in Retail Environments
Sensors, 2021 Customer activity (CA) in retail environments, which ranges over various shopper situations in store spaces, provides valuable information for store management and marketing planning.
Jiahao Wen +3 more
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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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Micro Activities Recognition in Uncontrolled Environments
Applied Sciences, 2021 Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples.
Ali Abbas +3 more
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Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks
Sensors, 2021 Beginner table-tennis players require constant real-time feedback while learning the fundamental techniques. However, due to various constraints such as the mentor’s inability to be around all the time, expensive sensors and equipment for sports training,
Khaleel Asyraaf Mat Sanusi +3 more
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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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