Description: 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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EAN: 9783030130039
UPC: 9783030130039
ISBN: 9783030130039
MPN: N/A
Book Title: Human Activity Sensing: Corpus and Applications (S
Item Length: 23.4 cm
Number of Pages: 250 Pages
Language: English
Publication Name: Human Activity Sensing: Corpus and Applications
Publisher: Springer Nature Switzerland Ag
Publication Year: 2020
Subject: Computer Science
Item Height: 235 mm
Item Weight: 409 g
Type: Textbook
Author: Nobuhiko Nishio, Nobuo Kawaguchi, Kristof Van Laerhoven, Daniel Roggen, Susanna Pirttikangas, Sozo Inoue
Item Width: 155 mm
Format: Paperback
