Add resource "Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application" Accepted
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Add Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application
- Title
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- Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application
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- Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application
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- Paper
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- 2008-11
- Description
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- We present the design, implementation, evaluation, and user ex periences of theCenceMe 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.
- Current
- 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.
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- http://portal.acm.org/citation.cfm?doid=1460412.1460445
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- ISBN: 9781595939906, DOI: 10.1145/1460412.1460445
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Add Mobile phone based sensing software
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- Mobile phone based sensing software
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- Mobile phone–based sensing software is a class of software for mobile phones that uses the phone's sensors to acquire data about the user. Some applications of this software include mental health and overall wellness monitoring. This class of software is important because it has the potential of providing a practical and low-cost approach to deliver psychological interventions for the prevention of mental health disorders, as well as bringing such interventions to populations that have no access to traditional health care. A number of terms are used for this approach, including "personal sensing", "digital phenotyping", and "context sensing". The term "personal sensing" is used in this article, as it conveys in simple language the aim of sensing personal behaviors, states, and conditions.
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- https://en.wikipedia.org/?curid=54340116
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Add Mobile phone based sensing software treated in Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application
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Add Mobile app development parent of Mobile phone based sensing software
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