Literature DB >> 19682694

Gait posture estimation using wearable acceleration and gyro sensors.

Ryo Takeda1, Shigeru Tadano, Akiko Natorigawa, Masahiro Todoh, Satoshi Yoshinari.   

Abstract

A method for gait analysis using wearable acceleration sensors and gyro sensors is proposed in this work. The volunteers wore sensor units that included a tri-axis acceleration sensor and three single axis gyro sensors. The angular velocity data measured by the gyro sensors were used to estimate the translational acceleration in the gait analysis. The translational acceleration was then subtracted from the acceleration sensor measurements to obtain the gravitational acceleration, giving the orientation of the lower limb segments. Segment orientation along with body measurements were used to obtain the positions of hip, knee, and ankle joints to create stick figure models of the volunteers. This method can measure the three-dimensional positions of joint centers of the hip, knee, and ankle during movement. Experiments were carried out on the normal gait of three healthy volunteers. As a result, the flexion-extension (F-E) and the adduction-abduction (A-A) joint angles of the hips and the flexion-extension (F-E) joint angles of the knees were calculated and compared with a camera motion capture system. The correlation coefficients were above 0.88 for the hip F-E, higher than 0.72 for the hip A-A, better than 0.92 for the knee F-E. A moving stick figure model of each volunteer was created to visually confirm the walking posture. Further, the knee and ankle joint trajectories in the horizontal plane showed that the left and right legs were bilaterally symmetric.

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Year:  2009        PMID: 19682694     DOI: 10.1016/j.jbiomech.2009.07.016

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  34 in total

1.  Testing a Quaternion Conversion Method to Determine Human Three-Dimensional Tibiofemoral Angles During an In Vitro Simulated Jump Landing.

Authors:  Mirel Ajdaroski; James A Ashton-Miller; So Young Baek; Payam Mirshams Shahshahani; Amanda O Esquivel
Journal:  J Biomech Eng       Date:  2022-04-01       Impact factor: 2.097

2.  Osteopathic Cranial Manipulation for a Patient With Whiplash-Associated Disorder: A Case Report.

Authors:  Giovanni Parravicini; Matteo Ghiringhelli
Journal:  J Chiropr Med       Date:  2022-04-06

3.  A preliminary test of measurement of joint angles and stride length with wireless inertial sensors for wearable gait evaluation system.

Authors:  Takashi Watanabe; Hiroki Saito; Eri Koike; Kazuki Nitta
Journal:  Comput Intell Neurosci       Date:  2011-09-18

4.  Kinematics of gait: new method for angle estimation based on accelerometers.

Authors:  Milica D Djurić-Jovičić; Nenad S Jovičić; Dejan B Popović
Journal:  Sensors (Basel)       Date:  2011-11-07       Impact factor: 3.576

Review 5.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

6.  Wearable sensors in healthcare and sensor-enhanced health information systems: all our tomorrows?

Authors:  Michael Marschollek; Matthias Gietzelt; Mareike Schulze; Martin Kohlmann; Bianying Song; Klaus-Hendrik Wolf
Journal:  Healthc Inform Res       Date:  2012-06-30

7.  Mobile Sensor Application for Kinematic Detection of the Knees.

Authors:  Tossaphon Jaysrichai; Areerat Suputtitada; Watcharapong Khovidhungij
Journal:  Ann Rehabil Med       Date:  2015-08-25

8.  Three dimensional gait analysis using wearable acceleration and gyro sensors based on quaternion calculations.

Authors:  Shigeru Tadano; Ryo Takeda; Hiroaki Miyagawa
Journal:  Sensors (Basel)       Date:  2013-07-19       Impact factor: 3.576

9.  Effectiveness of variable-gain Kalman filter based on angle error calculated from acceleration signals in lower limb angle measurement with inertial sensors.

Authors:  Yuta Teruyama; Takashi Watanabe
Journal:  Comput Math Methods Med       Date:  2013-10-27       Impact factor: 2.238

10.  A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol.

Authors:  Soo Chan Kim; Joo Yeon Kim; Hwan Nyeong Lee; Hwan Ho Lee; Jae Hwan Kwon; Nam Beom Kim; Mi Joo Kim; Jong Hyun Hwang; Gyu Cheol Han
Journal:  J Neuroeng Rehabil       Date:  2014-04-11       Impact factor: 4.262

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