Human activity sensing: corpus and applications

Kawaguchi, N, Nishio, N, Roggen, D, Inoue, S, Pirttikangas, S and Van Laerhoven, K, eds. (2019) Human activity sensing: corpus and applications. Springer Series in Adaptive Environments . Springer. ISBN 9783030130008

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Abstract

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.

Item Type: Edited Book
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Sensor Technology Research Centre
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
T Technology
Related URLs:
Depositing User: Daniel Roggen
Date Deposited: 24 Jun 2019 14:54
Last Modified: 07 May 2020 14:52
URI: http://sro.sussex.ac.uk/id/eprint/84478
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