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Low Cost Inertial Sensors for the Motion Track-ing and Orientation Estimation of Human Upper Limbs in Neurological Rehabilitation

Bai, Lu, Pepper, Matthew G., Yan, Yong, Phillips, Malcolm, Sakel, Mohamed (2020) Low Cost Inertial Sensors for the Motion Track-ing and Orientation Estimation of Human Upper Limbs in Neurological Rehabilitation. IEEE Access, . ISSN 2169-3536. E-ISSN 2169-3536. (doi:10.1109/ACCESS.2020.2981014) (KAR id:80555)


This paper presents the feasibility of utilizing low cost inertial sensors such as those found in Sony Move, Nintendo Wii (Wii Remote with Wii MotionPlus) and smartphones for upper limb motion mon-itoring in neurorehabilitation. Kalman and complementary filters based on data fusion are used to estimate sensor 3D orientation. Furthermore, a two-segment kinematic model was developed to estimate limb segment position tracking. Performance has been compared with a high-accuracy measurement system using the Xsens MTx. The experimental results show that Sony Move, Wii and smartphones can be used for measuring upper limb orientation, while Sony Move and smartphones can also be used for specific applications of upper limb segment joint orientation and position tracking during neurorehabilitation. Sony Move’s accuracy is within 1.5° for Roll and Pitch and 2.5° for Yaw and position tracking to within 0.5 cm over a 10 cm movement. This accuracy in measurement is thought to be adequate for upper limb orientation and position tracking. Low cost inertial sensors can be used for the accurate assessment/measurement of upper limb movement of patients with neurological disorders and also makes it a low cost replacement for upper limb motion measurements. The low cost inertial sensing systems were shown to be able to accurately measure upper limb joint orienta-tion and position during neurorehabilitation.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2020.2981014
Uncontrolled keywords: Inertial tracking, kinematic model, low cost inertial sensors,upper limb motion,3D motion tracking
Subjects: R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics. Medical information technology
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yong Yan
Date Deposited: 19 Mar 2020 19:25 UTC
Last Modified: 11 Jan 2024 09:54 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Pepper, Matthew G..

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Yan, Yong.

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