Literature DB >> 11934425

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

Ruth E Mayagoitia1, Anand V Nene, Peter H Veltink.   

Abstract

A general-purpose system to obtain the kinematics of gait in the sagittal plane based on body-mounted sensors was developed. It consisted of four uniaxial seismic accelerometers and one rate gyroscope per body segment. Tests were done with 10 young healthy volunteers, walking at five different speeds on a treadmill. In order to study the system's accuracy, measurements were made with an optic, passive-marker system and the body-mounted system, simultaneously. In all the comparison cases, the curves obtained from the two systems were very close, showing root mean square errors representing <7% full range in 75% of the cases (overall mean 6.64%, standard deviation 4.13%) and high coefficients of multiple correlation in 100% of cases (overall mean 0.9812, standard deviation 0.02). Calibration of the body-mounted system is done against gravity. The body-mounted sensors do not hinder natural movement. The calculation algorithms are computationally demanding and only are applicable off-line. The body-mounted sensors are accurate, inexpensive and portable and allow long-term recordings in clinical, sport and ergonomics settings.

Mesh:

Year:  2002        PMID: 11934425     DOI: 10.1016/s0021-9290(01)00231-7

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


  84 in total

1.  Inertial sensors in estimating walking speed and inclination: an evaluation of sensor error models.

Authors:  Shuozhi Yang; Annemarie Laudanski; Qingguo Li
Journal:  Med Biol Eng Comput       Date:  2012-03-15       Impact factor: 2.602

2.  Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy.

Authors:  Franziska Heinze; Katharina Hesels; Nico Breitbach-Faller; Thomas Schmitz-Rode; Catherine Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2010-05-06       Impact factor: 2.602

3.  Quaternion-based strap-down integration method for applications of inertial sensing to gait analysis.

Authors:  A M Sabatini
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

4.  Analysis and decomposition of accelerometric signals of trunk and thigh obtained during the sit-to-stand movement.

Authors:  W G M Janssen; J B J Bussmann; H L D Horemans; H J Stam
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

5.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers.

Authors:  H J Luinge; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

6.  Effects of a proximity-sensing feedback chair on head, shoulder, and trunk postures when working at a visual display terminal.

Authors:  Won-gyu Yoo; Chung-hwi Yi; Min-hee Kim
Journal:  J Occup Rehabil       Date:  2006-12

7.  Development of a real-time three-dimensional spinal motion measurement system for clinical practice.

Authors:  Christina Goodvin; Edward J Park; Kevin Huang; Kelly Sakaki
Journal:  Med Biol Eng Comput       Date:  2006-11-11       Impact factor: 2.602

8.  Support vector machine for classification of walking conditions using miniature kinematic sensors.

Authors:  Hong-Yin Lau; Kai-Yu Tong; Hailong Zhu
Journal:  Med Biol Eng Comput       Date:  2008-03-18       Impact factor: 2.602

9.  Inter-operator reliability and prediction bands of a novel protocol to measure the coordinated movements of shoulder-girdle and humerus in clinical settings.

Authors:  Pietro Garofalo; Andrea Giovanni Cutti; Maria Vittoria Filippi; Stefano Cavazza; Alberto Ferrari; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-02-17       Impact factor: 2.602

10.  Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Appl Ergon       Date:  2018-11-29       Impact factor: 3.661

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