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国际学术会议模板

data from disparate sources and contexts
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Research Challenges for Healthcare Cont.
Empowering people – providers and consumers – improves healthcare quality
An open system model Globalization
abc
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1
Research Challenges for Healthcare
From Data to Knowledge to Action: Enabling EvidenceBased Healthcare
• Biomedical data, personal data (e.g., 24x7 activity and
deploy speech recognition and images to reduce the positive rate and false negative rate.
• The privacy protection is also considered in HONEY. • Our evaluation shows that HONEY provides reliable,
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Implementation(Cont.)
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Experiments & Results
-Determination of the Threshold of SVM Result 1: Distinguish between Fall and non-Fall accurately.
-The accuracy of Speech Recognition: Result 2: Maintain high accuracy in quiet and noisy environments.
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Experiments & Results(Cont.)
Result 1
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Experiments & Results(Cont.)
Result 2
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Experiments & Results(Cont.)
Result 3
File Size Resolution Upload Time(s) Download Total Time(s)
• Researchers with different backgrounds and roles • Policy and Investment • Privacy and Security
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Evidence-Based Healthcare: Fall Detection
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Our System: HONEY
• Human-computer interaction research • The discourse between a patient and a doctor
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Research Challenges for Healthcare Cont.
Computer-based knowledge system
physiology traces), and relevant contextual data (e.g., indoor and outdoor air quality, exposures to toxins)
• Extraction, storage, and fusion of multiple classes of
safe, and responsive fall detection in home environment.
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(MB)
Time(s)
640×480
97.4
2267
389
2656
352×288
40.6
945
162
1107
320×240
30.8
717
123
840
176×144
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12.3
28649Fra bibliotek335
Conclusion
• In order to improve the performance and accuracy, we
• Human learning and reasoning • Decision-making • Physical motion significantly enhances human
capabilities
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Research Challenges for Healthcare Cont.
Healthcare is a complex, large-scale, adaptive distributed evolving system
HONEY: HOme healthcare sentiNEl sYstem
HONEY: 3-steps detection
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Implementation
FallSensor:HTC Smartphone
Homeserver:Laptop,Microphone,Camera
CloudPIS:Hadoop DFS
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