Literature DB >> 18002219

Modified pendulum model for mean step length estimation.

Rafael C González1, Diego Alvarez, Antonio M López, Juan C Alvarez.   

Abstract

Step length estimation is an important issue in areas such as gait analysis, sport training or pedestrian localization. It has been shown that the mean step length can be computed by means of a triaxial accelerometer placed near the center of gravity of the human body. Estimations based on the inverted pendulum model are prone to underestimate the step length, and must be corrected by calibration. In this paper we present a modified pendulum model in which all the parameters correspond to anthropometric data of the individual. The method has been tested with a set of volunteers, both males and females. Experimental results show that this method provides an unbiased estimation of the actual displacement with a standard deviation lower than 2.1%.

Entities:  

Mesh:

Year:  2007        PMID: 18002219     DOI: 10.1109/IEMBS.2007.4352553

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  11 in total

1.  Prefrontal Cortex Activation While Walking Under Dual-Task Conditions in Stroke: A Multimodal Imaging Study.

Authors:  Emad Al-Yahya; Heidi Johansen-Berg; Udo Kischka; Mojtaba Zarei; Janet Cockburn; Helen Dawes
Journal:  Neurorehabil Neural Repair       Date:  2015-10-21       Impact factor: 3.919

2.  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

3.  Bilateral step length estimation using a single inertial measurement unit attached to the pelvis.

Authors:  Alper Köse; Andrea Cereatti; Ugo Della Croce
Journal:  J Neuroeng Rehabil       Date:  2012-02-08       Impact factor: 4.262

4.  Dual-Task Effect on Gait in Healthy Adolescents: Association between Health-Related Indicators and DT Performance.

Authors:  Eda Cinar; Benajmin David Weedon; Patrick Esser; Shawn Joshi; Yan-Ci Liu; Anne Delextrat; Andy Meaney; Johnny Collett; Daniella Nicole Springett; Helen Dawes
Journal:  J Mot Behav       Date:  2020-11-17       Impact factor: 1.358

5.  Improved method of step length estimation based on inverted pendulum model.

Authors:  Qi Zhao; Boxue Zhang; Jingjing Wang; Wenquan Feng; Wenyan Jia; Mingui Sun
Journal:  Int J Distrib Sens Netw       Date:  2017-04-10

6.  Smartphone-Based Answering to School Subject Questions Alters Gait in Young Digital Natives.

Authors:  Carlotta Caramia; Carmen D'Anna; Simone Ranaldi; Maurizio Schmid; Silvia Conforto
Journal:  Front Public Health       Date:  2020-06-09

7.  Association between gait and cognition in an elderly population based sample.

Authors:  Vyara Valkanova; Patrick Esser; Naiara Demnitz; Claire E Sexton; Enikő Zsoldos; Abda Mahmood; Ludovica Griffanti; Mika Kivimäki; Archana Singh-Manoux; Helen Dawes; Klaus P Ebmeier
Journal:  Gait Posture       Date:  2018-07-29       Impact factor: 2.840

8.  Pedestrian navigation based on a waist-worn inertial sensor.

Authors:  Juan Carlos Alvarez; Diego Alvarez; Antonio López; Rafael C González
Journal:  Sensors (Basel)       Date:  2012-08-03       Impact factor: 3.576

9.  Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort.

Authors:  Carlotta Caramia; Ivan Bernabucci; Carmen D'Anna; Cristiano De Marchis; Maurizio Schmid
Journal:  PLoS One       Date:  2017-10-12       Impact factor: 3.240

10.  The Height-Adaptive Parameterized Step Length Measurement Method and Experiment Based on Motion Parameters.

Authors:  Yanshun Zhang; Yingyue Li; Chuang Peng; Dong Mou; Ming Li; Wei Wang
Journal:  Sensors (Basel)       Date:  2018-03-30       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.