Li Deep Learning for Human Activity Recognition

Deep Learning for Human Activity Recognition

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

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Beschreibung

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. 

Autor*in

Xiaoli Li

Themen in »Deep Learning for Human Activity Recognition«

action recognition activity recognition artificial intelligence computer hardware computer systems computer vision data mining gesture recognition human activity recognition Human-Computer Interaction (HCI) image coding image processing machine learning motion estimation neural networks

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Details

ISBN: 9789811605758
Verlag: Springer Singapore
Erscheinung: 17.02.2021

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