TY - JOUR
T1 - Estimate Hand-Finger Position with One Magnetometer and Known Relative Orientation
AU - Yang, Zhicheng
AU - Yan, Shenggang
AU - Van Beijnum, Bert Jan F.
AU - Li, Bin
AU - Veltink, Peter H.
N1 - Funding Information:
Manuscript received April 5, 2021; accepted April 29, 2021. Date of publication May 6, 2021; date of current version May 24, 2021. The work of Zhicheng Yang was supported by the China Scholarship Council (CSC). The Associate Editor coordinating the review process was Dr. Subhas Chandra Mukhopadhyay. (Corresponding author: Zhicheng Yang.) Zhicheng Yang is with the School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China, and also with the Department of Biomedical Signals and Systems, University of Twente, 7522 NB Enschede, The Netherlands (e-mail: [email protected]).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - Inertial-sensor-based hand motion tracking has become a well-accepted method in many clinical applications, including rehabilitation of the upper extremity. However, major drawbacks are that a sensor on each segment and kinematic chain rule is required. Thus, errors accumulate through the kinematic chain rule. Also, the length of each segment needs to be measured for each user. We propose a novel method in which a permanent magnet on the dorsal side of the hand combined with an inertial and magnetic measurement unit (IMMU) on the fingertip is used to estimate the position of the thumb and index fingertip relative to the position of the dorsal side of the hand. The biggest advantages of the proposed method are that no prior information and kinematic chain rule are needed. Besides, the required number of sensors is low. A Levenberg-Marquardt (L-M) approach is presented to estimate the relative positions with the known orientations. The performance is demonstrated in multiple experiments in which various movement tasks were performed. The most complex task in which participants performed reaching and grasping movements based on the action research arm test (ARAT) resulted in a median distance error between thumb and index finger of 9.6%.
AB - Inertial-sensor-based hand motion tracking has become a well-accepted method in many clinical applications, including rehabilitation of the upper extremity. However, major drawbacks are that a sensor on each segment and kinematic chain rule is required. Thus, errors accumulate through the kinematic chain rule. Also, the length of each segment needs to be measured for each user. We propose a novel method in which a permanent magnet on the dorsal side of the hand combined with an inertial and magnetic measurement unit (IMMU) on the fingertip is used to estimate the position of the thumb and index fingertip relative to the position of the dorsal side of the hand. The biggest advantages of the proposed method are that no prior information and kinematic chain rule are needed. Besides, the required number of sensors is low. A Levenberg-Marquardt (L-M) approach is presented to estimate the relative positions with the known orientations. The performance is demonstrated in multiple experiments in which various movement tasks were performed. The most complex task in which participants performed reaching and grasping movements based on the action research arm test (ARAT) resulted in a median distance error between thumb and index finger of 9.6%.
KW - 2022 OA procedure
KW - localization
KW - one magnetometer
KW - Known orientation
UR - http://www.scopus.com/inward/record.url?scp=85105850664&partnerID=8YFLogxK
U2 - 10.1109/TIM.2021.3077984
DO - 10.1109/TIM.2021.3077984
M3 - Article
AN - SCOPUS:85105850664
SN - 0018-9456
VL - 70
JO - IEEE transactions on instrumentation and measurement
JF - IEEE transactions on instrumentation and measurement
M1 - 9424613
ER -