A Novel Approach for Real-Time Gait Events Detection Using Developed Wireless Foot Sensor Module

This article presents a method for the detection of heel strike (HS) and toe off (TO) for overground walking using developed wireless foot sensor module (WFSM). The proposed algorithm uses variation of foot angle measured from WFSM for estimating stance and swing phase during human gait. The significance and novelty of the developed work lies in the fact that the method validates an approach for detecting gait events using foot angle variation alone, computed from a single inertial sensor. For 11 479 steps recorded from 34 healthy volunteers, it showed 100% true positive detection rate with a mean error of –12.9 ± 30.6 ms and 7.9 ± 10.8 ms for HS and TO, respectively, referenced against foot switches. One-way analysis of variance (ANOVA) test for gait cycle time computed from a force sensitive resistor and WFMS showed no significant difference (p > 0.01) between the two sensor methods. The developed system was benchmarked against Zebris FDM system (Zebris medical GMBH, Germany) and Kistler Force Platform (Kistler Inc., Colorado, USA) for comparing temporal gait parameters. The proposed work also reports an improvement in terms of detection latency and, thus, shows potential for real-time control applications.

[1]  J. Allum,et al.  Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals. , 2006, Gait & posture.

[2]  Felipe Arruda Moura,et al.  Kinematic Gait Analysis Using Inertial Sensors with Subjects after Stroke in Two Different Arteries , 2014, Journal of physical therapy science.

[3]  Jan Rueterbories,et al.  Gait event detection for use in FES rehabilitation by radial and tangential foot accelerations. , 2014, Medical engineering & physics.

[4]  Matjaz B. Juric,et al.  Inertial Sensor-Based Gait Recognition: A Review , 2015, Sensors.

[5]  Thomas Seel,et al.  IMU-Based Joint Angle Measurement for Gait Analysis , 2014, Sensors.

[6]  Yu-Liang Hsu,et al.  A Wearable Inertial Measurement System With Complementary Filter for Gait Analysis of Patients With Stroke or Parkinson’s Disease , 2016, IEEE Access.

[7]  Francesco Alonge,et al.  The Use of Accelerometers and Gyroscopes to Estimate Hip and Knee Angles on Gait Analysis , 2014, Sensors.

[8]  Alpha Agape Gopalai,et al.  A robust real-time gait event detection using wireless gyroscope and its application on normal and altered gaits. , 2015, Medical engineering & physics.

[9]  Deepak Joshi,et al.  A Novel Approach for Toe Off Estimation During Locomotion and Transitions on Ramps and Level Ground , 2016, IEEE Journal of Biomedical and Health Informatics.

[10]  Claudia Mazzà,et al.  Gait event detection in laboratory and real life settings: Accuracy of ankle and waist sensor based methods. , 2016, Gait & posture.

[11]  Eric Chalmers,et al.  Inertial sensing algorithms for long-term foot angle monitoring for assessment of idiopathic toe-walking. , 2014, Gait & posture.

[12]  Myeongkyu Kim,et al.  Development of an IMU-based foot-ground contact detection (FGCD) algorithm , 2017, Ergonomics.

[13]  Norhana Arsad,et al.  Low cost MEMS gyroscope and accelerometer implementation without Kalman Filter for angle estimation , 2016, 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES).

[14]  Jung-Keun Lee,et al.  Quasi real-time gait event detection using shank-attached gyroscopes , 2011, Medical & Biological Engineering & Computing.

[15]  Mohammad H. Mahoor,et al.  Development of a body joint angle measurement system using IMU sensors , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Christopher R. Harris,et al.  Accurate and Reliable Gait Cycle Detection in Parkinson's Disease , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  Angelo M. Sabatini,et al.  Assessment of walking features from foot inertial sensing , 2005, IEEE Transactions on Biomedical Engineering.

[18]  H F Maqbool,et al.  Real-time gait event detection for lower limb amputees using a single wearable sensor. , 2016, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[19]  Elissa D. Ledoux.  Inertial Sensing for Gait Event Detection and Transfemoral Prosthesis Control Strategy , 2018, IEEE Transactions on Biomedical Engineering.

[20]  Rubén Acevedo,et al.  Gait Event Detection during Stair Walking Using a Rate Gyroscope , 2014, Sensors.

[21]  Antonio I Cuesta-Vargas,et al.  The use of inertial sensors system for human motion analysis , 2010, Physical therapy reviews : PTR.

[22]  Xavier Crevoisier,et al.  Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors. , 2013, Gait & posture.