Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Numerous studies have demonstrated multiple health benefits of being outside and exposure to natural environments. It is essential to accurately measure the amount of time individuals spend outdoors to assess the impact of exposure to outdoor time on health. SenseCam is a wearable camera that automatically captures images. The annotated images provide an objective criterion for determining amount of time spent outdoors. In this paper we explored the use of SenseCam and Global Positioning System (GPS) devices to calculate time spent outdoors. We used the annotated SenseCam images to investigate the optimal threshold from the GPS data to best differentiate outdoor and indoor time. We analyzed the signal strength data recorded by the GPS with a Receiver Operating Characteristic (ROC) curve as well as a three-category logistic regression model. The ROC curve resulted in 79.4% sensitivity for indoor time and 84.1% specificity for outdoor time with an area under the curve of 0.927. Copyright 2013 ACM.

Original publication




Conference paper

Publication Date



1 - 7