Basics of sensory data

Mark Hoogendoorn*, Burkhardt Funk

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

A typical quantified self/sensory dataset is introduced in this chapter. Popular sensors are briefly highlighted and a procedure is provided to transform raw sensory datasets into a suitable format to enable the application of machine learning techniques. The dataset introduced in this chapter is used to illustrate the approaches explained in the remainder of the chapters.

Original languageEnglish
Title of host publicationMachine Learning for the Quantified Self
Subtitle of host publicationOn the Art of Learning from Sensory Data
PublisherSpringer/Verlag
Chapter2
Pages15-24
Number of pages10
ISBN (Electronic)9783319663081
ISBN (Print)9783319663074
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameCognitive Systems Monographs
Volume35
ISSN (Print)1867-4925
ISSN (Electronic)1867-4933

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