Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
about
Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures.The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function.A Smart-Home System to Unobtrusively and Continuously Assess Loneliness in Older Adults.Significant Change Spotting for Periodic Human Motion Segmentation of Cleaning Tasks Using Wearable Sensors.A Semantic Approach with Decision Support for Safety Service in Smart Home Management.Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity DataRecognition of Daily Gestures with Wearable Inertial Rings and Bracelets.How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.Smart Secure Homes: A Survey of Smart Home Technologies that Sense, Assess, and Respond to Security Threats.An IBeacon-Based Location System for Smart Home Control.Sensor Network Configuration Learning for Maximizing Application Performance.
P2860
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P2860
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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name
Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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type
label
Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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P2093
P2860
P1476
Analyzing Activity Behavior an ...... nt Using Smart Home Techniques
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P2093
Diane J Cook
Maureen Schmitter-Edgecombe
Prafulla Dawadi
P2860
P304
P356
10.1109/JBHI.2015.2461659
P577
2015-08-06T00:00:00Z