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...

Full description

Saved in:
Bibliographic Details
Main Authors: Kizawa, Koki, Shinkuma, Ryoichi, Trovato, Gabriele
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Data models
Edge computing
Estimation
Laser radar
light detection and ranging
physical activity in office
Point cloud compression
time-series point-cloud data
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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:2331-9860
DOI:10.1109/CCNC51644.2023.10060097