Please use this identifier to cite or link to this item: https://doi.org/10.3390/s150509610
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dc.titleLower extremity joint angle tracking with wireless ultrasonic sensors during a squat exercise
dc.contributor.authorQi, Y
dc.contributor.authorBoon Soh, C
dc.contributor.authorGunawan, E
dc.contributor.authorLow, K.-S
dc.contributor.authorThomas, R
dc.date.accessioned2020-10-26T07:03:59Z
dc.date.available2020-10-26T07:03:59Z
dc.date.issued2015
dc.identifier.citationQi, Y, Boon Soh, C, Gunawan, E, Low, K.-S, Thomas, R (2015). Lower extremity joint angle tracking with wireless ultrasonic sensors during a squat exercise. Sensors (Switzerland) 15 (5) : 9610-9627. ScholarBank@NUS Repository. https://doi.org/10.3390/s150509610
dc.identifier.issn1424-8220
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/180120
dc.description.abstractThis paper presents an unrestrained measurement system based on a wearable wireless ultrasonic sensor network to track the lower extremity joint and trunk kinematics during a squat exercise with only one ultrasonic sensor attached to the trunk. The system consists of an ultrasound transmitter (mobile) and multiple receivers (anchors) whose positions are known. The proposed system measures the horizontal and vertical displacement, together with known joint constraints, to estimate joint flexion/extension angles using an inverse kinematic model based on the damped least-squares technique. The performance of the proposed ultrasonic measurement system was validated against a camera-based tracking system on eight healthy subjects performing a planar squat exercise. Joint angles estimated from the ultrasonic system showed a root mean square error (RMSE) of 2.85? ± 0.57? with the reference system. Statistical analysis indicated great agreements between these two systems with a Pearson’s correlation coefficient (PCC) value larger than 0.99 for all joint angles’ estimation. These results show that the proposed ultrasonic measurement system is useful for applications, such as rehabilitation and sports. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectInverse kinematics
dc.subjectKinematics
dc.subjectMean square error
dc.subjectPatient rehabilitation
dc.subjectUltrasonic applications
dc.subjectUltrasonic measurement
dc.subjectUltrasonic sensors
dc.subjectUltrasonics
dc.subjectWireless sensor networks
dc.subjectCorrelation coefficient
dc.subjectDamped least squares
dc.subjectHorizontal and vertical displacement
dc.subjectInverse kinematic models
dc.subjectJoint angle
dc.subjectRoot mean square errors
dc.subjectSquat
dc.subjectUltrasonic measurement systems
dc.subjectWearable sensors
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/s150509610
dc.description.sourcetitleSensors (Switzerland)
dc.description.volume15
dc.description.issue5
dc.description.page9610-9627
dc.published.statePublished
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