Biometric Person Authentication Using New Spectral Features of Electroencephalogram (EEG)

被引：0

作者：

Miyamoto, Chisei ^{[1
]}

Baba, Sadanao ^{[1
]}

Nakanishi, Isao ^{[1
]}

机构：

[1] Tottori Univ, Fac Engn, Tottori 6808552, Japan

来源：

2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008) | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The electroencephalogram (EEG) is suitable for continuous authentication since it enables unconscious presentation of biometric features. However, the conventional authentications methods using the EEG require heavy computational load: AR modeling and/or machine learning. In this paper, we propose simple spectral features of the EEG to make the authentication system using the EEG more practical. The effectiveness of the proposed new features is evaluated in verification experiments with 23 users and we obtain the verification rate of 79%.Introduction

引用

页码：130 / 133

页数：4

共 50 条

[31] Biometric yet privacy protecting person authentication
Bleumer, G
INFORMATION HIDING, 1998, 1525 : 99 - 110
[32] Foreword - Special issue on biometric person authentication
Komatsu, N
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2001, E84D (07) : 787 - 787
[33] Electroencephalogram Based Biometric Framework Using Time and Frequency Domain Features
Mishra, Puneet
Singla, Sunil Kumar
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2014, 4 (04) : 593 - 599
[34] Blink to Get In: Biometric Authentication for Mobile Devices using EEG Signals
Gupta, Ekansh
Agarwal, Mohit
Sivakumar, Raghupathy
ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
[35] Multimodal Biometric Authentication for VR/AR using EEG and Eye Tracking
Krishna, Vrishab
Ding, Yi
Xu, Aiwen
Hollerer, Tobias
ICMI'19: ADJUNCT OF THE 2019 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2019,
[36] Survey of EEG-Based Biometric Authentication
Jayarathne, Isuru
Cohen, Michael
Amarakeerthi, Senaka
2017 IEEE 8TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2017, : 324 - 329
[37] Behavioural Biometric Authentication using Keystroke Features with Machine Learning
Chandok, Rhea
Bhoir, Vishwajeet
Chinnaswamy, Santhanakrishnan
2022 IEEE 19TH INDIA COUNCIL INTERNATIONAL CONFERENCE, INDICON, 2022,
[38] Improved Robustness of Biometric Authentication System Using Features of Utterance
Shi, Qian
Kajikawa, Yoshinobu
2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
[39] EEG-based Person Authentication using Face Stimuli
Yeom, Seul-Ki
Suk, Heung-Il
Lee, Seong-Whan
2013 IEEE INTERNATIONAL WINTER WORKSHOP ON BRAIN-COMPUTER INTERFACE (BCI), 2013, : 58 - 61
[40] Person Authentication Using EEG Signal that Uses Chirplet and SVM
Shinde, Sonal Suhas
Kamthekar, Swati S.
COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 : 338 - 344

← 1 2 3 4 5 →