Basics of sensory data

Mark Hoogendoorn; Burkhardt Funk

doi:10.1007/978-3-319-66308-1_2

Basics of sensory data

Mark Hoogendoorn^*, Burkhardt Funk

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	Machine Learning for the Quantified Self
Subtitle of host publication	On the Art of Learning from Sensory Data
Publisher	Springer/Verlag
Chapter	2
Pages	15-24
Number of pages	10
ISBN (Electronic)	9783319663081
ISBN (Print)	9783319663074
DOIs	https://doi.org/10.1007/978-3-319-66308-1_2
Publication status	Published - 1 Jan 2018

Publication series

Name	Cognitive Systems Monographs
Volume	35
ISSN (Print)	1867-4925
ISSN (Electronic)	1867-4933

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10.1007/978-3-319-66308-1_2

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Basics of sensory data

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