—The recent arrival of 6LoWPAN, an IPv6 variant for low-power wireless devices, allows for the development of IPbased applications for low-power wireless networks like sensor net...
Marcel Bosling, Torsten Redmann, Jean Tekam, Elias...
The rapid growth of location-based applications has spurred extensive research on localization. Nonetheless, indoor localization remains an elusive problem mostly because the accu...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...
A growing class of smartphone applications are tasking applications that run continuously, process data from sensors to determine the user’s context (such as location) and activ...
Lenin Ravindranath, Arvind Thiagarajan, Hari Balak...
Mobile technology has significant potential to help revolutionize personal wellness and the delivery of healthcare. Mobile phones, wearable sensors, and home-based tele-medicine ...
Jacob Sorber, Minho Shin, Ronald A. Peterson, Cory...
We show that accelerometer readings are a powerful side channel that can be used to extract entire sequences of entered text on a smartphone touchscreen keyboard. This possibility...
Emmanuel Owusu, Jun Han, Sauvik Das, Adrian Perrig...
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
We present a novel method to upsample mobile LiDAR data using panoramic images collected in urban environments. Our method differs from existing methods in the following aspects: ...
Ruisheng Wang, Jeff Bach, Jane Macfarlane, Frank P...
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines o...
The use of depth is becoming increasingly popular in real-time computer vision applications. However, when using real-time stereo for depth, the quality of the disparity image is ...