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» Predicting mobility events on personal devices
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85
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PERCOM
2010
ACM
14 years 8 months ago
Predicting mobility events on personal devices
High-end mobile phones are quickly becoming versatile sensing platforms, capable of continuously capturing the dynamic context of their owners through various sensors. A change in...
Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niem...
80
Voted
ICMB
2006
IEEE
138views Business» more  ICMB 2006»
15 years 4 months ago
me-Commerce: An Infrastructure for Personal Predictive Mobile Commerce
Given mobile phone penetration statistics and current mobile phone technical specifications, it is apparent that in developed countries, the majority of citizens carry not just mo...
Andreas Komninos, Peter Barrie, Julian Newman, Stu...
99
Voted
IEAAIE
2007
Springer
15 years 4 months ago
Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices
Mobile devices are treasure boxes of personal information containing user’s context, personal schedule, diary, short messages, photos, and videos. Also, user’s usage informatio...
Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang
89
Voted
PUC
2007
154views more  PUC 2007»
14 years 9 months ago
Point-of-capture archiving and editing of personal experiences from a mobile device
Personal experience computing is an emerging research area in computing support for capturing, archiving, editing, and utilizing of digital personal experiences. This paper presen...
Chon-in Wu, Chao-ming Teng, Yi-Chao Chen, Tung-yun...
DCOSS
2010
Springer
15 years 3 months ago
MetroTrack: Predictive Tracking of Mobile Events Using Mobile Phones
We propose to use mobile phones carried by people in their everyday lives as mobile sensors to track mobile events. We argue that sensor-enabled mobile phones are best suited to de...
Gahng-Seop Ahn, Mirco Musolesi, Hong Lu, Reza Olfa...