@inproceedings{2a86298ded224566a5ba8b7cfe48c58b,
title = "Center of pressure estimation and gait pattern recognition using shoes with photo-reflective sensors",
abstract = "Gait analysis is an important issue in various fields. In this paper, we developed a shoe-type device to measure the foot pressure when walking. Our device measures the deformation of the sole when pressure is applied and is detected by sensors embedded in the sole. As pressure is not applied directly onto the sensors, the system has better durability and a wider dynamic range. We then proposed a method to estimate the center of pressure (CoP), obtaining an average coefficient of determination of 0.69. Our device also identifies gait patterns by obtaining the discrimination rate of 9 types of walking methods, averaging to an accuracy of 88%.",
keywords = "Gait analysis, Shoe device, Wearable sensor",
author = "Konomi Inaba and Akihiko Murai and Yuta Sugiura",
note = "Funding Information: This work was supported by JSPS KAKENHI Grant Numbers 16H01741.; 30th Australian Conference on Computer-Human Interaction, OzCHI 2018 ; Conference date: 04-12-2018 Through 07-12-2018",
year = "2018",
month = dec,
day = "4",
doi = "10.1145/3292147.3292189",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "224--228",
editor = "Ann Morrison and George Buchanan and Jenny Waycott and Mark Billinghurst and Duncan Stevenson and J.H.-J. Choi and Mark Billinghurst and Ryan Kelly and Dana McKay and Artur Lugmayr",
booktitle = "Proceedings of the 30th Australian Computer-Human Interaction Conference, OzCHI 2018",
}