40% off Popular Science books & eBooks—Save on general interest titles now!

Communications in Computer and Information Science
cover

Deep Learning for Human Activity Recognition

Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings

Editors: Xiaoli, L., Wu, M., Chen, Z., Zhang, L. (Eds.)

Buy this book

eBook $59.99
price for USA in USD
  • ISBN 978-981-16-0575-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $74.99
price for USA in USD
  • ISBN 978-981-16-0574-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. 
The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. 

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Human Activity Recognition Using Wearable Sensors: Review, Challenges, Evaluation Benchmark

    Pages 1-15

    Abdel-Salam, Reem (et al.)

  • Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks

    Pages 16-29

    Watanabe, Takumi (et al.)

  • Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition

    Pages 30-42

    Luo, Jinqi (et al.)

  • Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics

    Pages 43-56

    Nguyen, Huy Thong (et al.)

  • Resource-Constrained Federated Learning with Heterogeneous Labels and Models for Human Activity Recognition

    Pages 57-69

    Gudur, Gautham Krishna (et al.)

Buy this book

eBook $59.99
price for USA in USD
  • ISBN 978-981-16-0575-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $74.99
price for USA in USD
  • ISBN 978-981-16-0574-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Deep Learning for Human Activity Recognition
Book Subtitle
Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings
Editors
  • Li Xiaoli
  • Min Wu
  • Zhenghua Chen
  • Le Zhang
Series Title
Communications in Computer and Information Science
Series Volume
1370
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-16-0575-8
DOI
10.1007/978-981-16-0575-8
Softcover ISBN
978-981-16-0574-1
Series ISSN
1865-0929
Edition Number
1
Number of Pages
XII, 139
Number of Illustrations
2 b/w illustrations, 49 illustrations in colour
Topics