International Conference · 2025

Device-Independent Wireless Sensing: Time-Series Analysis of Continuous Round Trip Time for Indoor Environment

Haruki Yonekura , Hamada Rizk , Hirozumi Yamaguchi

The 19th International Symposium on Spatial and Temporal Data. Doctoral Symposium. 2025.

Published Version (DOI)

DOI: 10.1145/3748777.3748809

Abstract

Accurate monitoring of indoor environments via wireless sensing is essential for applications such as adaptive crowd flow control, energy management in smart buildings, and rapid response in healthcare and emergency scenarios.Traditional vision-based methods suffer from lighting issues, occlusion, and privacy concerns, while RSSI-based approaches are vulnerable to multipath fading and device inconsistencies, and CSI-based systems lack interoperability.We present a device-free and device-independent framework that continuously records round-trip signal delays as a rich time series, supporting both occupancy estimation and spatial localization without specialized hardware.A deep feature extraction strategy suppresses environmental noise and non-line-of-sight distortions, delivering accurate real-time performance on commodity WiFi equipment even in cluttered spaces.This approach establishes a foundation for ubiquitous privacy-preserving indoor environment monitoring with potential extensions to multimodal sensor fusion and integration with next-generation wireless standards.

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