Marcela D. Rodríguez
Luis A. Castro
Jesus Favela
ABSTRACT
This paper presents the InCense research toolkit to facilitate researchers with little or no technical background to implement a sensing application for mobile phones. To reach this end, InCense provides a GUI and an interactive ontology to enable users to define the configuration of the sensing application, i.e. what sensing components to add, and the flow of the sensing session. We illustrate the ease of use of the InCense platform through a scenario in which both opportunistic and participatory sensing paradigms are used.
- J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M. B. Srivastava, M. B. "Participatory Sensing," ACM SenSys Conf., Boulder, Colorado, USA, 2006.Google Scholar
- N. Eagle and A. Pentland, "Reality mining: sensing complex social systems," Personal Ubiquitous Computing, vol. 10, pp. 255--268, 2006. Google ScholarDigital Library
- T. Choudhury A. Pentland, "Sensing and Modeling Human Networks using the Sociometer," IEEE Symposium on Wearable Computers, 2003. Google ScholarDigital Library
- N. Zhao. "Full-featured pedometer design realized with 3- Axis digital accelerometer". Analog Dialogue, 44--06, 2010.Google Scholar
- C.E. Matthews. "Calibration of accelerometer output for adults". Med Sci Sports Exerc 37: S512--S522, 2005.Google ScholarCross Ref
- T.R. Gruber. "Toward principles for the design of ontologies used for knowledge sharing". Int. J. Hum.-Comput. Stud. 43, 5-6 (December 1995), 907--928. Google ScholarDigital Library
- Protégé, http://protege.stanford.edu/doc/tutorial/Google Scholar
- Eclipse, http://www.ibm.com/developerworks/Google Scholar
- J. Froehlich, M. Y. Chen, S. Consolvo, B. Harrison, and J. A. Landay, "MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones," ACM Conf. on MobiSys San Juan, Puerto Rico, 2007. Google ScholarDigital Library
- C. Cornelius, A. Kapadia, D. Kotz, D. Peebles, M. Shin, N. Triandopoulos, "Anonysense: privacy-aware people-centric sensing," ACM Conf. on Mobile systems, applications and services, CO, USA,2008. Google ScholarDigital Library
- J. Kukkonen, E. Lagerspetz, P. Nurmi, M. Andersson, "BeTelGeuse: A Platform for Gathering and Processing Situational Data," IEEE Perv. Comp., vol. 8, 49--56, 2009. Google ScholarDigital Library
- D. Bannach, O. Amft, P. Lukowicz, "Rapid Prototyping of Activity Recognition Applications," IEEE Perv. Comp., vol. 7, 22--31, 2008. Google ScholarDigital Library
Index Terms
- Using ontologies to reduce user intervention to deploy sensing campaigns with the InCense toolkit
Recommendations
Mobile Phone Sensing as a Service: Business Model and Use Cases
NGMAST '13: Proceedings of the 2013 Seventh International Conference on Next Generation Mobile Apps, Services and TechnologiesWith the ubiquity and ever-increasing capabilities of mobile devices and the integration of more and more sensors in them, such devices now have the potential to act not only as personal communication and computing platforms but also as sensing ...
Participant selection for data collection through device-to-device communications in mobile sensing
The appearance of smart mobile devices with communication, computation and sensing capability and increasing popularity of various mobile applications have caused the explosion of mobile data recently. In the same time, mobile sensing has been emerging ...
A review of mobile sensing systems, applications, and opportunities
AbstractMobile phones, vehicles, appliances, and other types of devices have sensors in the last few years. On the good side, this makes the world increasingly interconnected every day. However, this interconnection generates Big Data that cannot be ...
Comments