We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
This paper attempts to re-imagine ubiquitous computing for populations in low-income and information-challenged environments. We examine information infrastructures in midsized ur...
Nithya Sambasivan, Nimmi Rangaswamy, Ed Cutrell, B...
We performed a study of Facebook users to examine how they coped with limitations of the Facebook privacy settings interface. Students graduating and joining the workforce create ...
Serge Egelman, Andrew Oates, Shriram Krishnamurthi
Networking researchers have been using tools like wireshark and tcpdump to sniff packets on physical links that use different types of datalink protocols, e.g. Ethernet or 802.11,...
This paper presents a framework for the pervasive sharing of data using wireless networks. ‘FarCry’ uses the mobility of users to carry files between separated networks. Throu...
Paul Tennent, Malcolm Hall, Barry Brown, Matthew C...