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Human Activity Sensing

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Human Activity Sensing Synopsis

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.

About This Edition

ISBN: 9783030130039
Publication date: 24th September 2020
Author: Nobuo Kawaguchi
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 250 pages
Series: Springer Series in Adaptive Environments
Genres: Human–computer interaction
Data mining
Expert systems / knowledge-based systems
Applied computing
Computer hardware