Human Activity Sensing: Corpus and Applications (Springer Series in Adaptive Environments) - Softcover

Softcover

ISBN 10: 3030130037 ISBN 13: 9783030130039

Publisher: Springer, 2020

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 title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 3030130037
• ISBN 13: 9783030130039
• Binding: Paperback
• Edition number: 1
• Number of pages: 262
• Editor: Kawaguchi Nobuo, Nishio Nobuhiko, Roggen Daniel, Inoue Sozo, Pirttikangas Susanna, Van Laerhoven Kristof