Objective: The OECD countries are facing a set of core challenges; an increasing elderly
population; increasing number of chronic and lifestyle-related diseases; expanding scope of …

Recent advances in small inexpensive sensors, low-power processing, and activity
modeling have enabled applications that use on-body sensing and machine learning to infer …

We present the design, implementation, evaluation, and user ex periences of theCenceMe
application, which represents the first system that combines the inference of the presence of …

The greatest contributor of CO2 emissions in the average American household is personal
transportation. Because transportation is inherently a mobile activity, mobile devices are well …

Top end mobile phones include a number of specialized (eg, accelerometer, compass, GPS)
and general purpose sensors (eg, microphone, camera) that enable new people-centric …

Personal, mobile displays, such as those on mobile phones, are ubiquitous, yet for the most
part, underutilized. We present results from a field experiment that investigated the …

This paper describes Mercury, a wearable, wireless sensor platform for motion analysis of
patients being treated for neuromotor disorders, such as Parkinson's Disease, epilepsy, and …

We present Darwin, an enabling technology for mobile phone sensing that combines
collaborative sensing and classification techniques to reason about human behavior and …

This article explores how placement variations in user-carried electronic appliances
influence human action recognition and how such influence can be mitigated. The authors …

Obesity is now considered a global epidemic and is predicted to become the number one
preventive health threat in the industrialized world. Presently, over 60% of the US adult …