Chen Lv

Vision-Based Human Activity Recognition

Buch

This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human-machine interaction applications. In HAR, various human activities such as walking, r… Mehr

CHF 65.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen

V103: Folgt in ca. 5 Arbeitstagen

Produktdetails

Weitere Autoren: Hu, Zhongxu

ISBN: 978-981-1922-89-3
EAN: 9789811922893
Produktnummer: 38780713
Verlag: Springer Nature Singapore
Sprache: Englisch
Erscheinungsjahr: 2022
Seitenangabe: 132 S.
Masse: H23.5 cm x B15.5 cm x D0.7 cm 213 g
Auflage: 1st ed. 2022
Abbildungen: Paperback
Gewicht: 213

Über den Autor

Zhongxu Hu is currently a research fellow within the Department of Mechanical and Aerospace Engineering of Nanyang Technological University in Singapore. His current research interests include human-machine interaction, computer vision, and deep learning applied to human behavior analysis and autonomous vehicles in multiple scenarios. He has contributed more than 20 papers in high-level international journals.Dr. Hu serves as a lead guest editor for Computational Intelligence and Neuroscience and an academic editor/Editorial Board for Automotive Innovation, Journal of Electrical and Electronic Engineering, and is also an active reviewer for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Electronics, IEEE Intelligent Transportation Systems Magazine, Journal of Intelligent Manufacturing, and Journal of Advanced Transportation et al. Chen Lv is currently an assistant professor at Nanyang Technology University, Singapore. His research focuses on advanced vehicle and human-machine systems, where he has contributed 2 books, 2 chapters, and over 100 papers and obtained 12 granted patents and 1 technology disclosure.Dr. Lv serves as academic editor/editorial board member for IEEE Transactions on Intelligent Transportation Systems, SAE International Journal of Electrified Vehicles, International Journal of Vehicle Autonomous Systems, Automotive Innovation, etc., and guest editor for IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, IEEE Intelligent Transportation Systems Magazine, Applied Energy, IEEE Sensors Journal, etc. He received many awards and honors, selectively including the Highly Commended Paper Award of IMechE UK in 2012, Japan NSK Outstanding Mechanical Engineering Paper Award in 2014, China SAE Outstanding Paper Award in 2015, the 1st Class Award of Automotive Industry Scientific and Technological Invention in 2015, Tsinghua University Outstanding Doctoral Thesis Award in 2016, Seal of Excellence of EU H2020 Marie Sklodowska-Curie Actions in 2017, Best Workshop/Special Session Paper Award of IEEE Intelligent Vehicle Symposium in 2018, Automotive Innovation Best Paper Award in 2020, and the winner of INTERPRET Challenge of NeurIPS 2020 competition.