Real-Time Passive Magnetic Localization Based on Restricted Kinematic Property for Tongue-Computer-Interface

被引:0
|
作者
Shen, Hui-Min [1 ,2 ]
Ge, Di [1 ]
Lian, Chong [1 ]
Yue, Yang [1 ]
机构
[1] Univ Shanghai Sci & Technol, Shanghai 200093, Peoples R China
[2] State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Tongue-Computer-Interface; magnetic localization; Levenberg-Marquardt (LM) algorithm; magnetic dipole; ORIENTATION; MOVEMENT; PEOPLE; MOTION;
D O I
10.1109/aim.2019.8868405
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
For severe paralyzed individuals, free communications with the environment are of great importance. However, constrained by their body functions, available interaction technologies are limited. Tongue-computer-interface based on passive magnetic marking takes advantages of high flexibility and fatigue-resistance in physiological sense, and provides a basis for a self-sufficiency life. As control signals, the real-time tongue movements are required to be derived by solving a nonlinear inverse magnetic problem with forward magnetic dipole model. This paper proposes a combined localization algorithm with pre-calibrated location-orientation mapping database based on restricted kinematic property of target motion. The simulation results show that the developed localization method can provide improved tracking accuracy with good real-time capability.
引用
收藏
页码:447 / 452
页数:6
相关论文
共 50 条
  • [21] COMPUTER-INTERFACE ENGINEERING FOR REAL-TIME SYSTEMS - A MODEL-BASED APPROACH
    MCGETTRICK, AD
    UNIVERSITY COMPUTING, 1988, 10 (04): : 205 - 206
  • [22] A real-time EMG-based assistive computer interface for the upper limb disabled
    Choi, Changmok
    Kim, Jung
    2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, : 459 - 462
  • [23] Design and Implementation of Real-time Brain-computer Interface System Based on LabVIEW
    Liu, Chang
    NEUROQUANTOLOGY, 2018, 16 (03) : 97 - 104
  • [24] Real-Time Single Channel EEG Motor Imagery based Brain Computer Interface
    Camacho, Jaime
    Manian, Vidya
    2016 WORLD AUTOMATION CONGRESS (WAC), 2016,
  • [25] Real-time EEG based Object Recognition System Using Brain Computer Interface
    Anupama, H. S.
    Cauvery, N. K.
    Lingaraju, G. M.
    2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2014, : 1046 - 1051
  • [26] METHOD FOR THE REAL-TIME LOCALIZATION OF PASSIVE SAW-BASED RFID SYSTEMS AROUND CORNERS
    Arumugam, Darmindra D.
    Engels, Daniel W.
    Mickle, Marlin H.
    2008 IEEE MILITARY COMMUNICATIONS CONFERENCE: MILCOM 2008, VOLS 1-7, 2008, : 2755 - +
  • [27] Real-time Implementation of a Non-invasive Tongue-based Human-Robot Interface
    Mace, Michael
    Abdullah-Al-Mamun, Khondaker
    Vaidyanathan, Ravi
    Wang, Shouyan
    Gupta, Lalit
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 5486 - 5491
  • [28] Real-time and dynamic time transfer method based on double-differenced real-time kinematic mode
    Tu, Rui
    Zhang, Pengfei
    Zhang, Rui
    Fan, Lihong
    Han, Junqiang
    Hong, Ju
    Liu, Jinhai
    Lu, Xiaochun
    IET RADAR SONAR AND NAVIGATION, 2021, 15 (02): : 143 - 153
  • [29] EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES
    Zhang, Dawei
    Yang, Minghao
    Tao, Jianhua
    Wang, Yang
    Liu, Bin
    Bukhari, Danish
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 937 - 941
  • [30] Computer based control with real-time capabilities
    Blaho, Michal
    Bielko, Samuel
    Farkas, udovít
    Fodrek, Peter
    WSEAS Transactions on Systems and Control, 2014, 9 (01): : 16 - 27