Human Activity Sensing: Corpus and Applications
Nobuo Kawaguchi · Nobuhiko Nishio · Daniel Roggen · Sozo Inoue · Susanna Pirttikangas · Kristof Van Laerhoven
Sep 2019 · Springer Nature
Ebook
250
Pages
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About this ebook
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.
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