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

2022/11/17 by Koki Kizawa, Kizawa, Koki, Ryoichi Shinkuma +3
Earth and Planetary Sciences · Engineering · Environmental Science · #3D Surveying and Cultural Heritage #Building Energy and Comfort Optimization #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Impact of Light on Environment and Health

paper · pdf · doi:10.48550/arxiv.2211.09334

openalex publication_date 2022/11/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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