The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot

Lau, Hongyin; Tong, Kai-Yu

doi:10.1016/j.gaitpost.2007.03.018

Cited by 147 publications

(70 citation statements)

References 22 publications

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“…Therefore, many works in the past using wearable sensors have been limited to monitoring gait events (Jasiewicz et al, 2006;Lau and Tong, 2008) or just comparing acceleration data (Kavanagh et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Gait analysis using gravitational acceleration measured by wearable sensors

Takeda

Tadano

Todoh

et al. 2009

Journal of Biomechanics

115

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Section: Introductionmentioning

confidence: 99%

Gait analysis using gravitational acceleration measured by wearable sensors

Takeda

Tadano

Todoh

et al. 2009

Journal of Biomechanics

115

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“…In addition, based on the impact of the heel contact or the biomechanical motion characteristics of the gait according to the anatomical structure of the lower limb, the accuracy of the gait event detection, using the accelerometer and the gyro sensor, individually or simultaneously, is very good. (Choi, Kang, Mun, Bang, & Tack, 2009;Lau & Tong, 2008). It is thought that such an algorithm may be applied in the same manner for treadmill walking.…”

Section: Discussionmentioning

confidence: 99%

Validity of a Portable APDM Inertial Sensor System for Stride Time and Stride Length during Treadmill Walking

Tack¹,

Choi²

2017

Korean Journal of Sport Biomechanics

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“…However, these systems have some shortcomings in that the set-up of these systems are not easy, measurement condition is limited and costs of these systems are very high. Therefore, many studies have been performed in measurement of lower limb joint angles and stride length and so on with inertial sensors such as a gyroscope and an accelerometer, which are small, low cost and easy for settings [1]- [9].…”

Section: Introductionmentioning

confidence: 99%

A Validation Test of Measurement Method of Lower Limb Angles Based on Kalman Filter on Different Type of Inertial Sensors

Teruyama¹,

Watanabe²

2013

IJBBB

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Abstract-Lower limb joint angle measurement method based on Kalman filter was tested using commercially available inertial sensors in our previous study for a rehabilitation use. Although the angle measurement method was effective, measurement with the wireless sensors were affected by wireless communication environment. Wired and wireless inertial sensor systems were developed in our laboratory for solving the wireless communication problem. This paper aimed to examine the 2 developed sensors, since those were different from the previously used sensors in data communication system or resolution in measurement. The 2 developed sensors and 2 commercially available sensors were evaluated in measurements of inclination and joint angles of a rigid body model comparing to the results of an optical motion measurement system. The angles were measured by correcting the angles calculated from outputs of gyroscopes based on a Kalman filter using outputs of accelerometers. All of the sensors showed small RMS errors under the static and dynamic conditions. The results suggested that various inertial sensors could measure inclination and joint angles stably if angles are calculated by using the Kalman filtering based method. It would be possible to replace sensors with inexpensive or latest commercially available sensors.Index Terms-Lower limb, angle, inertial sensor, kalman filter.

show abstract

The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot

Cited by 147 publications

References 22 publications

Gait analysis using gravitational acceleration measured by wearable sensors

Gait analysis using gravitational acceleration measured by wearable sensors

Validity of a Portable APDM Inertial Sensor System for Stride Time and Stride Length during Treadmill Walking

A Validation Test of Measurement Method of Lower Limb Angles Based on Kalman Filter on Different Type of Inertial Sensors

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