Human Activity Sensing - Corpus and Applications (Paperback, 1st ed. 2019)

Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur. This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Series in Adaptive Environments
Release date:	September 2020
First published:	2019
Editors:	Nobuo Kawaguchi • Nobuhiko Nishio • Daniel Roggen • Sozo Inoue • Susanna Pirttikangas • Kristof Van Laerhoven
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	250
Edition:	1st ed. 2019
ISBN-13:	978-3-03-013003-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-013003-7
Barcode:	9783030130039

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