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PERCOM
2011
ACM
12 years 8 months ago
Tracking vehicular speed variations by warping mobile phone signal strengths
—In this paper, we consider the problem of tracking fine-grained speeds variations of vehicles using signal strength traces from GSM enabled phones. Existing speed estimation te...
Gayathri Chandrasekaran, Tam Vu, Alexander Varshav...
ISWC
2003
IEEE
13 years 10 months ago
SenSay: A Context-Aware Mobile Phone
SenSay is a context-aware mobile phone that adapts to dynamically changing environmental and physiological states. In addition to manipulating ringer volume, vibration, and phone ...
Daniel P. Siewiorek, Asim Smailagic, Junichi Furuk...
AAAI
2010
13 years 6 months ago
Activity and Gait Recognition with Time-Delay Embeddings
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Jordan Frank, Shie Mannor, Doina Precup
SIGKDD
2010
259views more  SIGKDD 2010»
12 years 11 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
ESORICS
2012
Springer
11 years 7 months ago
Secure Proximity Detection for NFC Devices Based on Ambient Sensor Data
In certain applications, it is important for a remote server to securely determine whether or not two mobile devices are in close physical proximity. In particular, in the context ...
Tzipora Halevi, Di Ma, Nitesh Saxena, Tuo Xiang