research-article

Personal Identification using Gait Data on Slipper-device with Accelerometer

Authors:

Yuta SugiuraAuthors Info & Claims

Asian CHI '21: Proceedings of the Asian CHI Symposium 2021

Pages 74 - 79

https://doi.org/10.1145/3429360.3468185

Published: 07 September 2021 Publication History

Abstract

In this paper we presented a method of gait identification by slippers with an accelerometer to perform privacy-friendly personal identification. The gait data from accelerometer during walking is adopted from developed slipper devices as the personal unique data used for identification. Gait data is processed by Fast Fourier Transform to extract the frequency features and the Support vector machine (SVM) is used to identify the subject. Through assessing the different segmentation window size and various sensor positions, the results showed that an average accuracy was 95.0% using six sensors, and an average accuracy of 93.3% using three sensors placed at optimal positions.

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Cited By

Ogawa K(2024)Construction of Elderly Monitoring Platform Using Monitoring Gateway2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)10.1109/ICCE-Taiwan62264.2024.10674393(553-554)Online publication date: 9-Jul-2024
https://doi.org/10.1109/ICCE-Taiwan62264.2024.10674393
Xia CMunakata ASugiura Y(2023)Privacy-Aware Gait Identification With Ultralow-Dimensional Data Using a Distance SensorIEEE Sensors Journal10.1109/JSEN.2023.326084623:9(10109-10117)Online publication date: 1-May-2023
https://doi.org/10.1109/JSEN.2023.3260846
Kawasaki YSugiura Y(2022)Personal Identification and Authentication Using Blink with Smart Glasses2022 61st Annual Conference of the Society of Instrument and Control Engineers (SICE)10.23919/SICE56594.2022.9905842(1251-1256)Online publication date: 6-Sep-2022
https://doi.org/10.23919/SICE56594.2022.9905842

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cover image ACM Conferences

Asian CHI '21: Proceedings of the Asian CHI Symposium 2021

May 2021

228 pages

ISBN:9781450382038

DOI:10.1145/3429360

Copyright © 2021 ACM.

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Publication History

Published: 07 September 2021

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gait identification

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JST AIP-PRISM

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CHI '21

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CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Cited By

Ogawa K(2024)Construction of Elderly Monitoring Platform Using Monitoring Gateway2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)10.1109/ICCE-Taiwan62264.2024.10674393(553-554)Online publication date: 9-Jul-2024
https://doi.org/10.1109/ICCE-Taiwan62264.2024.10674393
Xia CMunakata ASugiura Y(2023)Privacy-Aware Gait Identification With Ultralow-Dimensional Data Using a Distance SensorIEEE Sensors Journal10.1109/JSEN.2023.326084623:9(10109-10117)Online publication date: 1-May-2023
https://doi.org/10.1109/JSEN.2023.3260846
Kawasaki YSugiura Y(2022)Personal Identification and Authentication Using Blink with Smart Glasses2022 61st Annual Conference of the Society of Instrument and Control Engineers (SICE)10.23919/SICE56594.2022.9905842(1251-1256)Online publication date: 6-Sep-2022
https://doi.org/10.23919/SICE56594.2022.9905842

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