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Design, Implementation and Evaluation of CenceMe Application. COSC7388 – Advanced Distributed Computing Presentation By Sushil Joshi. Outline. Introduction Architectural Design Limitations Split level classification Architectural Diagram Classifier Phone Classifier
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Design, Implementation and Evaluation of CenceMe Application
Mobile application that infers personal presence and updates the status to social networks.
Sensor devices like microphone, accelerometer, GPS, camera and bluetooth inbuilt in Nokia N95.
An always-on application needs to use energy in as efficient way as possible.
Information and process flow in CenseMe System
Symbian OS Exception handlers
API limitations – e.g. Missing JME API to access N95 internal accelerometer
Energy Management Limitations
DFT of audio sample from noisy environment as registered by Nokia N95 microphone
DFT of human voice sample registered by Nokia N95 microphone
Discriminant analysis clustering which determines the dashed lines (threshold between talking and non-talking)
Data collected by Nokia N95 on-board accelerometer for different activities like sitting and walking.
Primitive indicates voice
Primitive indicates no voice
Social Context classifier
Mobility Mode Detector
Historical trend of user data to identify behaviorial pattern. e.g. Nerdy, party animal, health conscious.
Table 2 indicates false positives which could be attributed to either sensors grasping human voice from background or due to assymetric strategy for conversation classification.
Conversation classifier accuracy in different ambience
Conversation Classifier accuracy with varying duty cycle
Accuracy of activity classification vs different positioning of mobile phone
Power consumption during sampling/upload interval
Screen saver mode turned on while using Nokia Energy Profiler so as to decouple energy used to light up the LCD screen.
More likely to be used by population who already use social networking.
Far less deletion of random images compared to uploads.
Location feature mostly used.
Can reveal lifestyle trends e.g less physical activity
Miluzzo, Emiliano, Lane, Nicholas D., Fodor, Krist\'of, sPeterson, Ronald, Lu, Hong, Musolesi, Mirco, Eisenman, Shane B., Zheng, Xiao, Campbell, Andrew T., Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application, SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems, pp. 337--350, ACM, New York, NY, USA, 2008.
 Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, and Andrew T. Campbell, CenceMe – Injecting Sensing Presence into Social Networking Applications