Novel noniterative orientation estimation for wearable motion sensor units acquiring accelerometer, gyroscope, and magnetometer measurements

buir.contributor.authorYurtman, Aras
buir.contributor.authorBarshan, Billur
dc.citation.epage3215en_US
dc.citation.issueNumber6en_US
dc.citation.spage3206en_US
dc.citation.volumeNumber69en_US
dc.contributor.authorYurtman, Aras
dc.contributor.authorBarshan, Billur
dc.date.accessioned2021-02-18T10:39:12Z
dc.date.available2021-02-18T10:39:12Z
dc.date.issued2020
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractWe propose a novel noniterative orientation estimation method based on the physical and geometrical properties of the acceleration, angular rate, and magnetic field vectors to estimate the orientation of motion sensor units. The proposed algorithm aims that the vertical (up) axis of the earth coordinate frame is as close as possible to the measured acceleration vector and that the north axis of the earth makes an angle with the detected magnetic field vector as close as possible to the estimated value of the magnetic dip angle. We obtain the sensor unit orientation based on the rotational quaternion transformation between the earth and the sensor unit frames. We evaluate the proposed method by incorporating it into an activity recognition scheme for daily and sports activities, which requires accurately estimated sensor unit orientations to achieve invariance to the orientations at which the units are worn on the body. Using four different classifiers on a publicly available data set, the proposed methodology achieves an average activity recognition accuracy higher than the state-of-the-art methods, as well as being computationally efficient enough to be executed in real time.en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2021-02-18T10:39:12Z No. of bitstreams: 1 Novel_Noniterative_Orientation_Estimation_for_Wearable_Motion_Sensor_Units_Acquiring_Accelerometer,_Gyroscope,_and_Magnetometer_Measurements.pdf: 1804705 bytes, checksum: e0e490298742037fcb6ef355112e3372 (MD5)en
dc.description.provenanceMade available in DSpace on 2021-02-18T10:39:12Z (GMT). No. of bitstreams: 1 Novel_Noniterative_Orientation_Estimation_for_Wearable_Motion_Sensor_Units_Acquiring_Accelerometer,_Gyroscope,_and_Magnetometer_Measurements.pdf: 1804705 bytes, checksum: e0e490298742037fcb6ef355112e3372 (MD5) Previous issue date: 2020en
dc.identifier.doi10.1109/TIM.2019.2930437en_US
dc.identifier.issn0018-9456
dc.identifier.urihttp://hdl.handle.net/11693/75445
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/TIM.2019.2930437en_US
dc.source.titleIEEE Transactions on Instrumentation and Measurementen_US
dc.subjectAccelerometeren_US
dc.subjectGyroscopeen_US
dc.subjectGyroscopeen_US
dc.subjectInertial sensorsen_US
dc.subjectMagneticen_US
dc.subjectAngular rateen_US
dc.subjectAnd gravity sensorsen_US
dc.subjectMagnetometeren_US
dc.subjectOrientation estimationen_US
dc.subjectQuaternionen_US
dc.subjectWearable motion sensorsen_US
dc.titleNovel noniterative orientation estimation for wearable motion sensor units acquiring accelerometer, gyroscope, and magnetometer measurementsen_US
dc.typeArticleen_US

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