The 21st International Conference on Pervasive Computing and Communications (PerCom 2023) will be held on March 13th-17th in Atlanta, USA.
PerCom is the premier annual scholarly venue in pervasive computing and communications.
The following presentation will be delivered.

This paper is the results of joint research between Yahoo Japan Corporation and Nishio Research Group (Ritsumeikan University).

In our group, this research is main conducted by two students (Ph.D. Sugasaki-san & Master course student Nomura-san). Also, Nomura-san will make presentation at the conference!

Device-Free Multi-Person Indoor Localization Using the Change of ToF

Device-free indoor localization does not require the target persons to possess a localization device, such as a smartphone, which can support the localization of all persons in the environment. Many methods using RSSI (Received Signal Strength Indicator) and Wi-Fi CSI (Channel State Information) have been proposed as device-free indoor localization using radio waves. However, RSSI is easily affected by environmental factors, such as multipath propagation. Wi-Fi CSI also has the disadvantage that there is no standard, so it relies on special hardware and software.

Therefore, we propose device-free multi-person indoor localization using ToF (Time of Flight) information, which is less susceptible to noise. ToF information in indoor localization has mainly been used for highly accurate estimation of the receiver position, while this paper proposes a new application.
In addition, distance measurements using ToF of Wi-Fi and UWB have been standardized and can be implemented with commercial equipment, which is highly practical.

In this research, we considered the change in the distance measurement due to radio wave occlusion by a human body and built a device-free indoor localization system that can estimate multi-person position even if the model is trained on the data of only one person. In addition, we evaluated its effectiveness.

—-
Presentation information(Program)

March 15th (Wed) 16:00-17:30 Session 6: Sensing
Device-Free Multi-Person Indoor Localization Using the Change of ToF
Atsushi Nomura (Tokyo Institute of Technology, Japan), Masato Sugasaki (Tokyo Institute of Technology, Japan), Kota Tsubouchi (Yahoo Japan Corporation, Japan), Nobuhiko Nishio (Ritsumeikan University, Japan), Masamichi Shimosaka (Tokyo Institute of Technology, Japan)