Real-Time Gait Analysis Using a Single Head-Worn Inertial Measurement Unit

The background of this paper is to apply advanced real-time gait analysis to walking interventions in daily life setting. A vast of wearable devices provide gait information but not more than pedometer functions such as step counting, displacement, and velocity. This paper suggests a real-time gait analysis method based on a head-worn inertial measurement unit. A novel analysis method implements real-time detection of gait events (heel strike, toe off, and mid-stance phase) and immediately provides detailed spatiotemporal parameters. The reliability of this method was proven by a measurement with over 11 000 steps from seven participants on a 400-m outdoor track. The advanced gait analysis was conducted without any limitation of a fixed reference frame (e.g., indoor stage and infrared cameras). The mean absolute error in step-counting was 0.24%. Compared to a pedometer, additional gait parameters were obtained such as foot-ground contact time (CT) and CT ratio. The gait monitoring system can be used as real-time and long-term feedback, which is applicable in the management of the health status and on injury prevention.

[1]  Wyatt Page,et al.  Fusion motion capture: A prototype system using inertial measurement units and GPS for the biomechanical analysis of ski racing , 2008 .

[2]  V P Stokes,et al.  A new method to measure foot contact. , 1985, Journal of biomechanics.

[3]  D. Roetenberg,et al.  Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors , 2009 .

[4]  Gerd Schmitz,et al.  A mobile sonification system for stroke rehabilitation , 2014 .

[5]  S. Fritz,et al.  White paper: "walking speed: the sixth vital sign". , 2009, Journal of geriatric physical therapy.

[6]  Richard Baker,et al.  The history of gait analysis before the advent of modern computers. , 2007, Gait & posture.

[7]  Uri Gottlieb,et al.  Spatiotemporal Gait Parameters as Predictors of Lower-Limb Overuse Injuries in Military Training , 2016, TheScientificWorldJournal.

[8]  R. B. Davis,et al.  A gait analysis data collection and reduction technique , 1991 .

[9]  Dimitrios G. Kottas,et al.  Camera-IMU-based localization: Observability analysis and consistency improvement , 2014, Int. J. Robotics Res..

[10]  J. Kavanagh,et al.  Coordination of head and trunk accelerations during walking , 2005, European Journal of Applied Physiology.

[11]  Pascal Fua,et al.  Local and Global Skeleton Fitting Techniques for Optical Motion Capture , 1998, CAPTECH.

[12]  Andreas Eichhorn,et al.  An IMU/magnetometer-based Indoor positioning system using Kalman filtering , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[13]  Shashank Ghai,et al.  Effect of rhythmic auditory cueing on parkinsonian gait: A systematic review and meta-analysis , 2018, Scientific Reports.

[14]  Agata Brajdic,et al.  Walk detection and step counting on unconstrained smartphones , 2013, UbiComp.

[15]  A. Effenberg,et al.  Movement Sonification: Effects on Motor Learning beyond Rhythmic Adjustments , 2016, Front. Neurosci..

[16]  Heike Brock,et al.  If motion sounds: Movement sonification based on inertial sensor data , 2012 .

[17]  Begonya Garcia-Zapirain,et al.  Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications , 2014, Sensors.

[18]  Sheikh Iqbal Ahamed,et al.  Your Walk is My Command: Gait Detection on Unconstrained Smartphone Using IoT System , 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

[19]  Alexandra Pfister,et al.  Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis , 2014, Journal of medical engineering & technology.

[20]  E. Hirasaki,et al.  Analysis of head and body movements of elderly people during locomotion. , 1993, Acta oto-laryngologica. Supplementum.

[21]  Guang-Zhong Yang,et al.  Gait Parameter Estimation From a Miniaturized Ear-Worn Sensor Using Singular Spectrum Analysis and Longest Common Subsequence , 2014, IEEE Transactions on Biomedical Engineering.

[22]  Li-Shan Chou,et al.  Monitoring recovery of gait balance control following concussion using an accelerometer. , 2015, Journal of biomechanics.

[23]  Steven Morrison,et al.  The role of the neck and trunk in facilitating head stability during walking , 2006, Experimental Brain Research.

[24]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[25]  R. Cromwell,et al.  Sagittal plane head stabilization during level walking and ambulation on stairs. , 2001, Physiotherapy research international : the journal for researchers and clinicians in physical therapy.

[26]  Holger Blume,et al.  Real-time gait event detection using a single head-worn inertial measurement unit , 2016, 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[27]  S. Studenski,et al.  Gait speed and survival in older adults. , 2011, JAMA.

[28]  Stephanie A. Bridenbaugh,et al.  Laboratory Review: The Role of Gait Analysis in Seniors’ Mobility and Fall Prevention , 2010, Gerontology.

[29]  Jan Rueterbories,et al.  Methods for gait event detection and analysis in ambulatory systems. , 2010, Medical engineering & physics.

[30]  Kazuya Okamoto,et al.  Objective assessment of abnormal gait in patients with rheumatoid arthritis using a smartphone , 2012, Rheumatology International.

[31]  Christina R. Victor,et al.  A Primary Care Nurse-Delivered Walking Intervention in Older Adults: PACE (Pedometer Accelerometer Consultation Evaluation)-Lift Cluster Randomised Controlled Trial , 2015, PLoS medicine.

[32]  David A. Forsyth,et al.  Skeletal parameter estimation from optical motion capture data , 2004, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[33]  Stephen E. Bialkowski,et al.  Real Time Digital Filters: Infinite Impulse‐Response Filters , 1988 .

[34]  Guang-Zhong Yang,et al.  Detecting Walking Gait Impairment with an Ear-worn Sensor , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[35]  J. Rye,et al.  The Pedometer as a Tool to Enrich Science Learning in a Public Health Context , 2005 .

[36]  Elecia White,et al.  Fusion Filter Algorithm Enhancements For a MEMS GPS/IMU , 2001 .