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
  • [1] Passive Magnetic Localization Based on Connotative Pre-Calibration for Tongue-Machine-Interface
    Shen, Hui-Min
    Ge, Di
    Lian, Chong
    Yue, Yang
    IEEE ACCESS, 2020, 8 : 2382 - 2394
  • [2] Real-time Sensor Fault Detection and Compensation in a Passive Magnetic Field-based Localization System
    Sun, Zhenglong
    Foong, Shaohui
    Marechal, Luc
    Teo, Tee Hui
    Tan, U-Xuan
    Shabbir, Asim
    2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2016, : 1040 - 1046
  • [3] Cascaded CNN for Real-time Tongue Segmentation Based on Key Points Localization
    Yuan, Wei
    Liu, Changsong
    2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019), 2019, : 303 - 307
  • [4] Real-Time Localization of a Magnetic Anomaly
    Philippeaux, Harryel
    Dhanak, Manhar
    OCEANS 2018 MTS/IEEE CHARLESTON, 2018,
  • [5] Real-Time fMRI-Based Brain Computer Interface: A Review
    Wang, Yang
    Wu, Dongrui
    NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II, 2017, 10635 : 833 - 842
  • [6] Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
    Weiskopf, N
    Mathiak, K
    Bock, SW
    Scharnowski, F
    Veit, R
    Grodd, W
    Goebel, R
    Birbaumer, N
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (06) : 966 - 970
  • [7] Real-time functional explorations Computer Interface (FCI)
    Sabiri, Issa
    Bouyghf, Hamid
    Raihani, Abdelhadi
    2022 2ND INTERNATIONAL CONFERENCE ON INNOVATIVE RESEARCH IN APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (IRASET'2022), 2022, : 758 - 761
  • [8] Modular Design of a Real-time Passive Magnetic Localization System for Enhanced Safety in Nasogastric Intubation
    Sun, Zhenglong
    Soh, Kenny Chi Tong
    Udomsawaengsup, Suthep
    Shabbir, Asim
    Foong, Shaohui
    2016 6TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2016, : 329 - 334
  • [9] Real-Time Embedded EEG-Based Brain-Computer Interface
    Ko, Li-Wei
    Tsai, I-Ling
    Yang, Fu-Shu
    Chung, Jen-Feng
    Lu, Shao-Wei
    Jung, Tzyy-Ping
    Lin, Chin-Teng
    ADVANCES IN NEURO-INFORMATION PROCESSING, PT II, 2009, 5507 : 1038 - 1045