Results 31 to 40 of about 8,090,223 (299)
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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An Efficient Human Activity Recognition Technique Based on Deep Learning [PDF]
, 2019 In this paper, we present a new deep learning-based human activity recognition technique. First, we track and extract human body from each frame of the video stream. Next, we abstract human silhouettes and use them to create binary space-time maps (BSTMs)
KHELALEF, Aziz +5 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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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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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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Location-based concept in activity log ontology for activity recognition in smart home domain [PDF]
, 2012 Activity recognition plays an important role in several researches. Nevertheless, the existing researches suffer various kinds of problems when human has a different lifestyle.
Lim, Azman Osman +11 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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