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Displaying 1-7 out of 7 total
Cooperative Communities (CoCo): Exploiting Social Networks for Large-scale Modeling of Human Behavior
Found in: IEEE Pervasive Computing
By Nicholas Lane,Ye Xu,Hong Lu,Shane Eisenman,Tanzeem Choudhury,Andrew Campbell
Publication Date: September 2011
pp. N/A
Human behavior modeling at a large-scale and under real-world conditions is still an open problem. Existing classification models do not always perform well on a diverse population. Training personalized models that incorporate different contextual conditi...
 
From Smart to Cognitive Phones
Found in: IEEE Pervasive Computing
By Andrew Campbell,Tanzeem Choudhury
Issue Date:July 2012
pp. 7-11
As smartphones get smarter by pushing intelligence to the phone and computing cloud, they'll start to understand our life patterns, reason about our health and wellbeing, help us navigate our day, and intervene on our behalf. Here, the authors present vari...
 
Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns
Found in: Proceedings of the 17th annual international symposium on International symposium on wearable computers (ISWC '13)
By Andrew Campbell, Giuseppe Cardone, Hong Lu, Mu Lin, Nicholas Lane, Tanzeem Choudhury, Ye Xu, Zhenyu Chen
Issue Date:September 2013
pp. 69-76
Reliable smartphone app prediction can strongly benefit both users and phone system performance alike. However, real-world smartphone app usage behavior is a complex phenomena driven by a number of competing factors. In this pa- per, we develop an app usag...
     
CrowdWatch: enabling in-network crowd-sourcing
Found in: Proceedings of the second ACM SIGCOMM workshop on Mobile cloud computing (MCC '13)
By Andrew Campbell, Hilfi Alkaff, Karrie Karahalios, Klara Nahrstedt, Robin Kravets
Issue Date:August 2013
pp. 57-62
Proliferation of mobile smartphones has opened up possibilities of using crowd-sourcing to gather data from and so monitor large crowds. However, depending on the size of the crowd, current solutions either put unpredictable stress on the infrastructure an...
     
MobileQueue: an image-based queue card management system through augmented reality phones
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Andrew Campbell, Arvin Wen Tsui, Chuang-Wen You, Tsung-Hung Tsai, Wen-Huang Cheng
Issue Date:September 2012
pp. 651-652
We propose MobileQueue, a mobile queue-card management system that offers more freedom to customers by enabling image-based queue-card retrieving and service-information querying actions using mobile phones. MobileQueue interacts with cloud services allowi...
     
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
Found in: Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld '10)
By Andrew Campbell, Hong Lu, Mashfiqui Rabbi, Matthew K. Mukerjee, Rajeev D.S. Raizada, Shaohan Hu, Tanzeem Choudhury
Issue Date:August 2010
pp. 3-8
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control mobile phones for hands-free, silent and effortless human-mobile interaction. Until recently, devices for detecting neural signals have been costly, bulky an...
     
A QoS adaptive transport system: design, implementation and experience
Found in: Proceedings of the fourth ACM international conference on Multimedia (MULTIMEDIA '96)
By Andrew Campbell, Geoff Coulson
Issue Date:November 1996
pp. 117-127
This paper addresses the problem of how to automatically generate visual representations of recorded histories of distributed multimedia collaborations. The work reported here focuses mainly on what we consider to be an innovative approach to this problem,...
     
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