Mobile Networks and Applications

, Volume 18, Issue 1, pp 60-80

First online:

MobiSens: A Versatile Mobile Sensing Platform for Real-World Applications

  • Pang WuAffiliated withCarnegie Mellon University, Silicon Valley Campus Email author 
  • , Jiang ZhuAffiliated withCarnegie Mellon University, Silicon Valley Campus
  • , Joy Ying ZhangAffiliated withCarnegie Mellon University, Silicon Valley Campus

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We present the design, implementation and evaluation of MobiSens, a versatile mobile sensing platform for a variety of real-life mobile sensing applications. MobiSens addresses common requirements of mobile sensing applications on power optimization, activity segmentation, recognition and annotation, interaction between mobile client and server, motivating users to provide activity labels with convenience and privacy concerns. After releasing three versions of MobiSens to the Android Market with evolving UI and increased functionalities, we have collected 13,993 h of data from 310 users over five months. We evaluate and compare the user experience and the sensing efficiency in each release. We show that the average number of activities annotated by a user increases from 0.6 to 6. This result indicates the activity auto-segmentation/recognition feature and certain UI design changes significantly improve the user experience and motivate users to use MobiSens more actively. Based on the MobiSens platform, we have developed a range of mobile sensing applications including Mobile Lifelogger, SensCare for assisted living, Ground Reporting for soldiers to share their positions and actions horizontally and vertically, and CMU SenSec, a behavior-driven mobile Security system.


Mobile sensing Activity recognition Lifelogger Anomaly detection Human behavior modeling