Title :
Making Sense of Sensor Data
Author_Institution :
Washington State Univ., Pullman
Abstract :
Sensors pervade our high-tech world - they link available computational power with physical applications. Sensors are rapidly catching up with computing devices in popularity and widespread use. As they become more varied and easy to use, the need to analyze sensor data grows. Scientists must understand sensor data for an extremely varied range of tasks, such as diagnosing automobiles, programming robots, analyzing traffic patterns, detecting terrorist threats, assuring the well-being of elderly persons living at home, and monitoring wildlife habitats.
Keywords :
data handling; ubiquitous computing; data analysis; multidimensional data; sensor data; Algorithm design and analysis; Clustering algorithms; Data analysis; Data compression; Filters; Multidimensional systems; Neural networks; Principal component analysis; Sensor phenomena and characterization; Singular value decomposition; Episode Discovery; Principle Components Analysis; Singular Value Decomposition; association analysis; clustering algorithms; data analysis; sensor data; sensors;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2007.37
