Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems

Mayagoitia, R.E.; Nene, A.V.; Veltink, Petrus H.

doi:10.1016/s0021-9290(01)00231-7

Cited by 554 publications

(340 citation statements)

References 12 publications

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“…However, the recent availability and growing number of validated, user-friendly portable gait analysis systems (22)(23)(24)(25)(26) allow simple quantitative gait measurements in older individuals, performed outside biomechanical gait laboratories in a more familiar environment with less technical equipment, lower costs, and less time required. Systematic quantification of gait in older inpatients during hospital stay may considerably enhance the quality of fall risk assessment by documenting obvious gait disorders and/or detecting subtle, specific fall-related gait changes, such as increased gait variability, particularly while dual-tasking.…”

Section: Introductionmentioning

confidence: 99%

Gait variability while dual-tasking: fall predictor in older inpatients?

et al. 2008

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Section: Introductionmentioning

confidence: 99%

Gait variability while dual-tasking: fall predictor in older inpatients?

et al. 2008

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“…However, the relative sensor rotation within a signal sequence can be effectively estimated by employing a gyroscope [48]. Recently, a gyroscope is often integrated together with an accelerometer in a smartphone.…”

Section: Limitation and Discussionmentioning

confidence: 99%

Orientation-Compensative Signal Registration for Owner Authentication Using an Accelerometer

Ngo

Makihara

Nagahara

et al. 2014

IEICE Trans. Inf. & Syst.

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SUMMARYGait-based owner authentication using accelerometers has recently been extensively studied owing to the development of wearable electronic devices. An actual gait signal is always subject to change due to many factors including variation of sensor attachment. In this research, we tackle to the practical sensor-orientation inconsistency, for which signal sequences are captured at different sensor orientations. We present an iterative signal matching algorithm based on phase-registration technique to simultaneously estimate relative sensor-orientation and register the 3D acceleration signals. The iterative framework is initialized by using 1D orientation-invariant resultant signals which are computed from 3D signals. As a result, the matching algorithm is robust to any initial sensororientation. This matching algorithm is used to match a probe and a gallery signals in the proposed owner authentication method. Experiments using actual gait signals under various conditions such as different days, sensors, weights being carried, and sensor orientations show that our authentication method achieves positive results.

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“…The sensors themselves are small and lightweight, and can detect a large range of angular velocities. If gyroscopes are combined with accelerometers then the data can be used to easily obtain the kinematics of the subject's movement [57,60].…”

Section: Inertial Systemsmentioning

confidence: 99%