Activity recognition with smartphone support.

[1]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[2]  M. Roizen.  Forecasting the Future of Cardiovascular Disease in the United States: A Policy Statement From the American Heart Association , 2012 .

[3]  Surapa Thiemjarus,et al.  Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location , 2011, 2011 International Conference on Body Sensor Networks.

[4]  Christian Peter,et al.  Mobile physical activity recognition of stand-up and sit-down transitions for user behavior analysis , 2010, PETRA '10.

[5]  Jun Yang,et al.  Toward physical activity diary: motion recognition using simple acceleration features with mobile phones , 2009, IMCE '09.

[6]  Chris D. Nugent,et al.  Connectivity for Healthcare and Well-Being Management: Examples from Six European Projects , 2009, International journal of environmental research and public health.

[7]  Rita Furst Seifert,et al.  Distinguishing the economic costs associated with type 1 and type 2 diabetes. , 2009, Population health management.

[8]  Alastair Gray,et al.  Economic burden of cardiovascular diseases in the enlarged European Union. , 2006, European heart journal.

[9]  Scott E Crouter,et al.  A novel method for using accelerometer data to predict energy expenditure. , 2006, Journal of applied physiology.

[10]  J. Callaghan.  Medical engineering & physics. , 2005, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[11]  David W. Mizell,et al.  Using gravity to estimate accelerometer orientation , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..