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A Web Service-based framework model for people-centric sensing applications applied to social networking
David Nunes1, Thanh-Dien Tran, Duarte Raposo
1Department of Informatics Engineering, University of Coimbra, Pólo II, Pinhal de Marrocos, Coimbra 3030-290, Portugal. dsnunes@student.dei.uc.pt
Sensors (Basel, Switzerland)
|March 23, 2012
Summary
This study introduces a RESTful Web Service model for people-centric sensing, integrating mobile phones and sensors into social networks. It addresses challenges like privacy and connectivity to enhance social networking with real-time user activity and location data.
Area of Science:
- Computer Science
- Ubiquitous Computing
Background:
- Social networks have grown significantly with internet evolution.
- Integrating mobile phones and sensors into social networks enables people-centric sensing systems.
- Technical challenges include privacy, activity detection, connectivity, and sensor/network heterogeneity.
Purpose of the Study:
- To present a RESTful Web Service-based model for people-centric sensing frameworks.
- To utilize sensors and mobile phones for detecting user activities and locations.
- To share this sensed information among friends within a social networking site.
Main Methods:
- Developed a RESTful Web Service-based model.
- Integrated mobile phones and sensors for data collection.
- Implemented a framework for sharing sensed data within social networks.
Main Results:
- Demonstrated a functional prototype for people-centric sensing.
- Showcased the sharing of user activities and locations within a social network.
- Provided screenshot results of the experimental prototype.
Conclusions:
- RESTful Web Services offer a viable technical solution for people-centric sensing frameworks.
- The proposed model effectively detects and shares user activities and locations.
- This approach has the potential to expand social networking usage by incorporating real-world context.
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