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INFOCOM
2008
IEEE
13 years 11 months ago
An Empirical Activity Model for WLAN Users
Abstract—Understanding user behavior in wireless environments is useful for a variety of reasons ranging from the design of better sleep algorithms for components of mobile devic...
Caleb T. Phillips, Suresh Singh
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
CG
2007
Springer
13 years 4 months ago
Visual analysis of users' performance data in fitness activities
This paper presents a tool for the visual analysis of fitness performance data, such as running speed and heart rate. The tool, called MOPET Analyzer, provides a set of interacti...
Daniele Nadalutti, Luca Chittaro
CHI
2011
ACM
12 years 8 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
IJCAI
2003
13 years 6 months ago
Non-Invasive Brain-Actuated Control of a Mobile Robot
Recent experiments have indicated the possibility to use the brain electrical activity to directly control the movement of robotics or prosthetic devices. In this paper we report ...
José del R. Millán, Fréd&eacu...