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A probabilistic ontological framework for the recognition of multilevel human activities
A major challenge of ubiquitous computing resides in the acquisition and modelling of rich and heterogeneous context data, among which, ongoing human activities at different degrees of granularity.Expand
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User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach
Goal: To investigate the accuracy of template matching for classifying sports activities using the acceleration signal recorded with a wearable sensor. Methods: A population of 29 normal weight andExpand
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SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment
OBJECTIVE In an ageing world population more citizens are at risk of cognitive impairment, with negative consequences on their ability of independent living, quality of life and sustainability ofExpand
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Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment
According to the World Health Organization, the rate of people aged 60 or more is growing faster than any other age group in almost every country, and this trend is not going to change in a nearExpand
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Towards Activity Recognition Using Probabilistic Description Logics
A major challenge of pervasive context-aware computing and intelligent environments resides in the acquisition and modelling of rich and heterogeneous context data. Decisive aspects of thisExpand
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Recognizing interleaved and concurrent activities: A statistical-relational approach
A majority of the approaches to activity recognition in sensor environments are either based on manually constructed rules for recognizing activities or lack the ability to incorporate complexExpand
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Recognizing interleaved and concurrent activities using qualitative and quantitative temporal relationships
The majority of approaches to activity recognition in sensor environments are either based on manually constructed rules for recognizing activities or lack the ability to incorporate complex temporalExpand
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A Statistical-Relational Activity Recognition Framework for Ambient Assisted Living Systems
Smart environments with ubiquitous sensing technologies are a promising perspective for reliable and continuous healthcare systems with reduced costs. A primary challenge for such assisted livingExpand
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Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment
According to the World Health Organization, the rate of people aged 60 or more is growing faster than any other age group in almost every country, and this trend is not going to change in a nearExpand
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