Please use this identifier to cite or link to this item: https://doi.org/10.3390/s18082447
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dc.titleA doppler-tolerant ultrasonic multiple access localization system for human gait analysis
dc.contributor.authorAshhar, K
dc.contributor.authorKhyam, M.O
dc.contributor.authorSoh, C.B
dc.contributor.authorKong, K.H
dc.date.accessioned2020-10-22T07:21:58Z
dc.date.available2020-10-22T07:21:58Z
dc.date.issued2018
dc.identifier.citationAshhar, K, Khyam, M.O, Soh, C.B, Kong, K.H (2018). A doppler-tolerant ultrasonic multiple access localization system for human gait analysis. Sensors (Switzerland) 18 (8) : 2447. ScholarBank@NUS Repository. https://doi.org/10.3390/s18082447
dc.identifier.issn14248220
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/179027
dc.description.abstractRanging based on ultrasonic sensors can be used for tracking wearable mobile nodes accurately for a long duration and can be a cost-effective method for human movement analysis in rehabilitation clinics. In this paper, we present a Doppler-tolerant ultrasonic multiple access localization system to analyze gait parameters in human subjects. We employ multiple access methods using linear chirp wave-forms and narrow-band piezoelectric transducers. A Doppler shift compensation Technique is also incorporated without compromising on the tracking accuracy. The system developed was used for tracking the trajectory of both lower limbs of five healthy adults during a treadmill walk. An optical motion capture system was used as the reference to compare the performance. The average Root Mean Square Error values between the 3D coordinates estimated from the proposed system and the reference system while tracking both lower limbs during treadmill walk experiment by 5 subjects were found to be 16.75, 14.68 and 20.20 mm respectively along X, Y and Z-directions. Errors in the estimation of spatial and temporal parameters from the proposed system were also quantified. These promising results show that narrowband ultrasonic sensors can be utilized to accurately track more than one mobile node for human gait analysis. © 2018 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.subjectCost effectiveness
dc.subjectDoppler effect
dc.subjectMean square error
dc.subjectMotion analysis
dc.subjectObject recognition
dc.subjectSporting goods
dc.subjectUltrasonic applications
dc.subjectUltrasonic sensors
dc.subjectWearable sensors
dc.subjectCost-effective methods
dc.subjectDoppler-shift compensation
dc.subjectHuman movement analysis
dc.subjectMotion tracking
dc.subjectMultiple access
dc.subjectNarrow-band ultrasonic
dc.subjectRoot mean square errors
dc.subjectUltrasonic localization
dc.subjectGait analysis
dc.subjectadult
dc.subjectelectronic device
dc.subjectfemale
dc.subjectgait
dc.subjecthuman
dc.subjectleg
dc.subjectmale
dc.subjectphysiology
dc.subjectprocedures
dc.subjecttransducer
dc.subjectultrasound
dc.subjectAdult
dc.subjectFemale
dc.subjectGait
dc.subjectHumans
dc.subjectLeg
dc.subjectMale
dc.subjectTransducers
dc.subjectUltrasonics
dc.subjectWearable Electronic Devices
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/s18082447
dc.description.sourcetitleSensors (Switzerland)
dc.description.volume18
dc.description.issue8
dc.description.page2447
dc.published.statePublished
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