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Human Activity Dataset Generation

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

Abstract

This chapter presents the collection of stages required for the acquisition of the experimental HAR data used in this thesis. It includes aspects such as smart phone selection, trials with volunteers, signal conditioning and feature selection. It also describes the procedures concerning the dataset validation; internally through experimentation and externally via a HAR contest in which other research groups were encouraged to propose novel solutions to the recognition problem.

Keywords

Inertial Sensor Window Sample Learn Vector Quantization Human Activity Recognition Body Acceleration 
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.
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CETpDUniversitat Politècnica de CatalunyaBarcelonaSpain

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