Deep Learning for Human Activity Recognition

Discover the cutting-edge insights in "Deep Learning for Human Activity Recognition," authored by Xiaoli Li and published by Springer Verlag in 2021. This first edition, comprising 139 pages, presents the refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition (DL-HAR 2020), which took place alongside IJCAI-PRICAI 2020 in Kyoto, Japan.

Delve into the latest research and advancements in the field of human activity recognition through deep learning techniques. This book is an essential resource for researchers, practitioners, and students interested in artificial intelligence and its applications in understanding human behavior. Enhance your knowledge and stay ahead in the rapidly evolving world of machine learning with this informative and engaging publication.