Perspectives of subjects' psychophysiological state identification using dynamic biometric features

被引:2
|
作者
Lozhnikov, P. S. [1 ]
Sulavko, A. E. [1 ]
Borisov, R. V. [2 ]
Zhumazhanova, S. S. [1 ]
机构
[1] Omsk State Tech Univ, Pr Mira 11, Omsk 644050, Russia
[2] Siberian State Automobile & Highway Univ, Pr Mira 5, Omsk 644080, Russia
关键词
D O I
10.1088/1742-6596/1050/1/012046
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The hypothesis on drivers psychophysiological state (PPS) identification before and during driving by dynamic biometric features is analyzed. An experimental evaluation of the reliability of three psychophysiological states identification (normal, drowsiness, alcohol intoxication) in the space of handwritten-signature and voice features was provided.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] ECG Biometric Identification for General Population Using Multiresolution Analysis of DWT Based Features
    Dar, Muhammad Najam
    Akram, M. Usman
    Usman, Anam
    Khan, Shoab A.
    2015 SECOND INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND CYBER FORENSICS (INFOSEC), 2015, : 5 - 10
  • [22] Biometric identification using single channel EEG during relaxed resting state
    Suppiah, Ravi
    Vinod, Achutavarrier Prasad
    IET BIOMETRICS, 2018, 7 (04) : 342 - 348
  • [23] Robust Multimodal Biometric Identification System Using Finger-Knuckle-Print features
    Meraoumia, Abdallah
    Chitroub, Salim
    Bouridane, Ahmed
    3RD INTERNATIONAL CONFERENCE ON CONTROL, ENGINEERING & INFORMATION TECHNOLOGY (CEIT 2015), 2015,
  • [25] A biometric identification system based on eigenpalm and eigenfinger features
    Ribaric, S
    Fratric, I
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (11) : 1698 - 1709
  • [26] Stability of Features Describing the Dynamic Signature Biometric Attribute
    Zalasinski, Marcin
    Cpalka, Krzysztof
    Grzanek, Konrad
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2018), PT II, 2018, 10842 : 250 - 261
  • [27] Extraction and application of dynamic pupillometry features for biometric authentication
    Yano, Vitor
    Zimmer, Alessandro
    Ling, Lee Luan
    MEASUREMENT, 2015, 63 : 41 - 48
  • [28] X-MyoNET: Biometric Identification Using Deep Processing of Dynamic Surface Electromyography
    Hu, Qin
    Sarmadi, Alireza
    Gulati, Paras
    Krishnamurthy, Prashanth
    Khorrami, Farshad
    Atashzar, S. Farokh
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 : 1 - 13
  • [29] Dynamic biometric identification from multiple views using the GLBP-TOP method
    Wang, Yu
    Shen, Xuanjing
    Chen, Haipeng
    Zhai, Yujie
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (06) : 2715 - 2724
  • [30] Operator functional state classification using multiple psychophysiological features in an air traffic control task
    Wilson, GF
    Russell, CA
    HUMAN FACTORS, 2003, 45 (03) : 381 - 389