Several decades of research into detecting lies has resulted in a large number of available of techniques among both behavioral and physiological channels. However only in the recent past, have researchers started to focus more on ways to detect ill-intent. Persons lying under high stakes situations show detectable changes in behavior. Similarly while lying to conceal ones true intent, one exhibits similar characteristics. This work presents a fast, convenient and discrete way of monitoring facial physiology using thermal imaging to detect when a person is lying about their intentions. Its application is suitable for screening in airports, border crossing and other venues with large transit volumes.
Walking is a fundamental human activity and its diminution a potential morbidity factor. Recent developments in mobile computing have enabled ubiquitous monitoring of walking activity via the smartphone accelerometers. Typically, walking apps map accelerometer values to caloric values through calibration algorithms. However, these calibration algorithms assume a flat surface, which is not always true and can introduce significant errors. In this paper, we outline a novel calibration method that estimates surface inclination for uphill walking, thus, improving the caloric estimation in walking apps.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.