Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application

Resource | v2 | updated by jjones |
Type Paper
Created 2008-11
Identifier ISBN: 9781595939906, DOI: 10.1145/1460412.1460445


We present the design, implementation, evaluation, and user ex periences of the CenceMe application, which represents the first system that combines the inference of the presence of individuals using off-the-shelf, sensor-enabled mobile phones with sharing of this information through social networking applications such as Facebook and MySpace. We discuss the system challenges for the development of software on the Nokia N95 mobile phone. We present the design and tradeoffs of split-level classification, whereby personal sensing presence (e.g., walking, in conversation, at the gym) is derived from classifiers which execute in part on the phones and in part on the backend servers to achieve scalable inference. We report performance measurements that characterize the computational requirements of the software and the energy consumption of the CenceMe phone client.


about Mobile phone based sensing software

Mobile phone–based sensing software is a class of software for mobile phones that uses the phone's se...

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6.5 /10
useless alright awesome
from 2 reviews
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1 0

6 rating 4 level 7 clarity 2 user's background

Fairly detailed.
Well, it's historic now.
This is one of the first applications on off-the-shelf mobile sensing. It's interesting to see what problems were faced, how they were handled and especially how this relates to this time (2020)
0 0

7 rating 7 level 5 clarity 3 user's background

Comprehensive app for mobile sensing
Very old now, lots of stuff probably doesn't apply anymore