Deep Learning for Human Activity Recognition

Deep Learning for Human Activity Recognition
Author :
Publisher : Springer Nature
Total Pages : 150
Release :
ISBN-10 : 9789811605758
ISBN-13 : 9811605750
Rating : 4/5 (750 Downloads)

Book Synopsis Deep Learning for Human Activity Recognition by : Xiaoli Li

Download or read book Deep Learning for Human Activity Recognition written by Xiaoli Li and published by Springer Nature. This book was released on 2021-02-17 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D