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Online Recognition with Postural Transition Awareness

  • Jorge Luis Reyes OrtizEmail author
Chapter
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Part of the Springer Theses book series (Springer Theses)

Abstract

This chapter introduces an online HAR system for the classification of human activities using smartphones which deals with recurring postural transitions while sequences of activities are carried out (PTA-HAR). For its implementation, the linear SVMs presented in Chap.  6 are combined with temporal filters that use activity probability estimations within a limited time window. The benefits of these approaches are presented through experimentation with the HAR dataset and compared against the previously presented HAR systems.

Keywords

Postural Transition Signal Conditioning Transition Filter Transitory Event Activity Probability Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CETpDUniversitat Politècnica de CatalunyaBarcelonaSpain

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