2011 | OriginalPaper | Chapter
Human Activity Recognition from Accelerometer Data Using a Wearable Device
Authors : Pierluigi Casale, Oriol Pujol, Petia Radeva
Published in: Pattern Recognition and Image Analysis
Publisher: Springer Berlin Heidelberg
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Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous computing, context-aware computing and multimedia. Recently, recognizing everyday life activities becomes one of the challenges for pervasive computing. In our work, we developed a novel wearable system easy to use and comfortable to bring. Our wearable system is based on a new set of 20 computationally efficient features and the Random Forest classifier. We obtain very encouraging results with classification accuracy of human activities recognition of up to 94%.