Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition

作者: Pavel Dohnálek , Petr Gajdoš , Tomáš Peterek

DOI: 10.1007/978-3-319-00542-3_49

关键词:

摘要: Human physical activity monitoring is a relatively new problem drawing much attention over the last years due to its wide application in medicine, homecare systems, prisoner etc. This paper presents Orthogonal Matching Pursuit as method for recognition and proposes modification that significantly increases accuracy. Both methods show promising results both total differentiation between certain activities even without necessity of prior data preprocessing. The were tested on raw sensor data.

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