Estimation of physical activities of people in offices from time-series point-cloud data

This paper proposes an edge computing system that enables estimating physical activities of people in offices from time-series point-cloud data, obtained by using a light-detection-and-ranging (LIDAR) sensor network. The paper presents that the proposed system successfully constructs the model for e...

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Bibliographic Details
Published inarXiv.org
Main Authors Kizawa, Koki, Shinkuma, Ryoichi, Trovato, Gabriele
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.11.2022
Subjects
Cloud computing
Edge computing
Estimation
Lidar
Offices
Time series
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Summary:This paper proposes an edge computing system that enables estimating physical activities of people in offices from time-series point-cloud data, obtained by using a light-detection-and-ranging (LIDAR) sensor network. The paper presents that the proposed system successfully constructs the model for estimating the number of typed characters from time-series point-cloud data, through an experiment using real LIDAR sensors.
ISSN:2331-8422