Couplable Components for Data Processing in Mobile Sensing Campaigns

In mobile sensing, modern phones allow scientists obtain the information about the participants and their surroundings. At times, obtaining raw sensor data from mobile devices demands their collection through sensing campaigns. Often, processing these data requires data processing components in the mobile device. Some of the data processing components pertain to mathematical functions that can be reused to form other functions. These types of functions are usually crafted at a design stage by the programmers. In this work, we present a novel way in which components can be coupled at the design of the sensing campaign, without the need to redeploy the app. That is, scientists can couple two existing data processing components into a new, high-level component. The results of this paper can facilitate code re-use, code maintenance, and flexibility to a mobile sensing campaign.

[1]  Ramachandran Ramjee,et al.  Nericell: using mobile smartphones for rich monitoring of road and traffic conditions , 2008, SenSys '08.

[2]  Emiliano Miluzzo,et al.  EyePhone: activating mobile phones with your eyes , 2010, MobiHeld '10.

[3]  Denzil Ferreira,et al.  AWARE: Mobile Context Instrumentation Framework , 2015, Front. ICT.

[4]  Fanglin Chen,et al.  Unobtrusive sleep monitoring using smartphones , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[5]  Andrew T. Campbell,et al.  BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing , 2014, Mobile Networks and Applications.

[6]  Daniel Gatica-Perez,et al.  Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones , 2011, 2011 15th Annual International Symposium on Wearable Computers.

[7]  Shaohan Hu,et al.  NeuroPhone: brain-mobile phone interface using a wireless EEG headset , 2010, MobiHeld '10.

[8]  David W. McDonald,et al.  Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.

[9]  Luis-Felipe Rodríguez,et al.  Component-Based Model for On-Device Pre-processing in Mobile Phone Sensing Campaigns , 2016, UCAmI.

[10]  Qian-Li Xue,et al.  Life-space constriction, development of frailty, and the competing risk of mortality: the Women's Health And Aging Study I. , 2007, American journal of epidemiology.

[11]  James A. Landay,et al.  MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones , 2007, MobiSys '07.

[12]  Luís A. Castro,et al.  Behavioral data gathering for assessing functional status and health in older adults using mobile phones , 2014, Personal and Ubiquitous Computing.

[13]  Ramachandran Ramjee,et al.  Nericell: rich monitoring of road and traffic conditions using mobile smartphones , 2008, SenSys '08.

[14]  Deborah Estrin,et al.  AndWellness: an open mobile system for activity and experience sampling , 2010, Wireless Health.