Springer Series in Adaptive Environments: Corpus and Applications

Kawaguchi, Nobuo; Nishio, Nobuhiko; Roggen, Daniel; Inoue, Sozo; Pirttikangas, Susanna; Van Laerhoven, Kristof

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.

Details

Published by: Springer

Publication Date: 2020-09-24

Format: Paperback

ISBN-13: 9783030130039

DOI: 10.1007/978-3-030-13001-5

Dimensions: 235cm x155cm

Pages: 250