Deep Learning for Human Activity Recognition
Author | : Xiaoli Li |
Publisher | : Springer Nature |
Total Pages | : 139 |
Release | : 2021-02-17 |
ISBN-10 | : 9789811605758 |
ISBN-13 | : 9811605750 |
Rating | : 4/5 (750 Downloads) |
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 139 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.