5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing

Download3256 downloads
  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246161,
        author={Nicholas Lane and Mashfiqui Mohammod and Mu Lin and Xiaochao Yang and Hong Lu and Shahid Ali and Afsaneh Doryab and Ethan Berke and Tanzeem Choudhury and Andrew Campbell},
        title={BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={mobile phone sensing wellbeing},
        doi={10.4108/icst.pervasivehealth.2011.246161}
    }
    
  • Nicholas Lane
    Mashfiqui Mohammod
    Mu Lin
    Xiaochao Yang
    Hong Lu
    Shahid Ali
    Afsaneh Doryab
    Ethan Berke
    Tanzeem Choudhury
    Andrew Campbell
    Year: 2012
    BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.246161
Nicholas Lane1,*, Mashfiqui Mohammod1, Mu Lin1, Xiaochao Yang1, Hong Lu1, Shahid Ali2, Afsaneh Doryab3, Ethan Berke4, Tanzeem Choudhury1, Andrew Campbell1
  • 1: Dartmouth College
  • 2: Dartmouth Medical School
  • 3: IT University of Copenhagen
  • 4: Dartmouth Institue for Health Policy and Clinical Practice
*Contact email: niclane@cs.dartmouth.edu

Abstract

A key challenge for mobile health is to develop new technology that can assist individuals in maintaining a healthy lifestyle by keeping track of their everyday behaviors. Smartphones embedded with a wide variety of sensors are enabling a new generation of personal health applications that can actively monitor, model and promote wellbeing. Automated wellbeing tracking systems available so far have focused on physical fitness and sleep and often require external non-phone based sensors. In this work, we take a step towards a more comprehensive smartphone based system that can track activities that impact physical, social, and mental wellbeing – namely, sleep, physical activity, and social interactions – and provides intelligent feedback to promote better health. We present the design, implementation and evaluation of BeWell, an automated wellbeing app for the Android smartphones and demonstrate its feasibility in monitoring multi-dimensional wellbeing. By providing a more complete picture of health, BeWell has the potential to empower individuals to improve their overall wellbeing and identify any early signs of decline.