Abstract
In human-machine-interface study, recognition of conscious human motion by contactless passive magnetic marked method can provide abundant information, such as PM marked tongue-machine-interface (TMI). However, solution of this nonlinear magnetic inverse problem heavily relies on initialization. This paper takes advantage of the motion characteristics constrained by physiological structure, and develops an enhanced algorithm for real-time full-pose passive magnetic localization in TMI application. In the proposed algorithm, a predetermined-discretized database is introduced, and provides reliable initializations for the nonlinear magnetic localization problem. This database presents the connotative relationships between the location and orientation of passive magnetic source, termed location-orientation mapping database (LOMD). The influence of initialization and LOMD constitution on solving the nonlinear inverse magnetic problem are studied through extensive simulations. Test bench evaluations are conducted on the designed experiment system. The experiment results show that about 38.5 % localization improvement can be achieved with a real-time tracking frequency up to 56.5 Hz.
Highlights
In diagnose of physical motor function disorder related to organs or tissues, such as limb, finger or tongue, accurate motion monitoring can provide important information for treatment
Physical motor tracking can create a basis for developing an efficient interface between individuals who lost self-care abilities and the environment [8], [9], such as hand trajectory gesture recognition [10] or tongue-machine-interface (TMI) [11], The associate editor coordinating the review of this manuscript and approving it for publication was Zhixiong Peter Li
This paper presents an enhanced algorithm for real-time full-pose passive magnetic localization for TMI, combining the selfrestriction that the motion of tissue and organ is muscularskeletally restricted
Summary
In diagnose of physical motor function disorder related to organs or tissues, such as limb, finger or tongue, accurate motion monitoring can provide important information for treatment. Computing the PM location and orientation with magnetic sensing system measurements and formulated forward MFD model, referred to as inverse magnetic problem solving [21]. This can provide intuitive control signals, where the suppleness and flexibility of the tongue can be fully exploited. With the increasing requirements in high-accurate localization for real-time medicine applications, various methods focused on improvements in sensing system and algorithm have been developed to solve the nonlinear inverse problem. This paper presents an enhanced algorithm for real-time full-pose passive magnetic localization for TMI, combining the selfrestriction that the motion of tissue and organ is muscularskeletally restricted.
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