Quantitative assessment of dual gait analysis based on inertial sensors with body sensor network

Purpose – Due to the complex mechanism during walking, human gait takes plenty of information reflecting human motion. The method of quantitative measurement of gait makes a profound influence in many fields, such as clinical medicine, biped robot control strategy and so on. The purpose of this paper is to present a gait analysis system based on inertial measurement unit (IMU) and combined with body sensor network (BSN).Design/methodology/approach – The authors placed two wireless inertial nodes on the left and right ankles, so that the acceleration and angular velocity could be obtained from both sides at the same time. By using the kinematical model of the human gait, many methods such as time series analysis, pattern recognition and numerical analysis, are introduced to fuse the inertial data and estimate the sagittal gait parameters.Findings – The gait parameters evaluation gains a practical precision, especially in the gait phase detection and the process of how the two feet cooperate with each other...

[1]  Mohammed Khider,et al.  A high precision reference data set for pedestrian navigation using foot-mounted inertial sensors , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[2]  M.R. Popovic,et al.  A reliable gait phase detection system , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Dimitris N. Metaxas,et al.  Human gait recognition at sagittal plane , 2007, Image Vis. Comput..

[4]  Masayoshi Tomizuka,et al.  A tele-gait monitoring system with an inertial measurement unit and smart shoes , 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[5]  Roman Kamnik,et al.  An inertial and magnetic sensor based technique for joint angle measurement. , 2007, Journal of biomechanics.

[6]  P H Veltink,et al.  Three dimensional inertial sensing of foot movements for automatic tuning of a two-channel implantable drop-foot stimulator. , 2003, Medical engineering & physics.

[7]  Javier Cuadrado,et al.  A Force-based Approach for Joint Efforts Estimation During the Double Support Phase of Gait , 2011 .

[8]  Angelo M. Sabatini,et al.  A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  S. Godha,et al.  Foot mounted inertial system for pedestrian navigation , 2008 .

[10]  Young Soo Suh,et al.  A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems , 2010, Sensors.

[11]  M. Makikawa,et al.  Virtual walkway system and prediction of gait mode transition for the control of the gait simulator , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Young Soo Suh,et al.  Pedestrian inertial navigation with gait phase detection assisted zero velocity updating , 2000, 2009 4th International Conference on Autonomous Robots and Agents.

[13]  Guoliang Fan,et al.  Dual Gait Generative Models for Human Motion Estimation From a Single Camera , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  H. Dawes,et al.  Assessment of spatio-temporal gait parameters using inertial measurement units in neurological populations. , 2011, Gait & posture.

[15]  Sudeep Sarkar,et al.  Improved gait recognition by gait dynamics normalization , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Huosheng Hu,et al.  Inertial sensors for motion detection of human upper limbs , 2007 .

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

[18]  Isaac Skog,et al.  Evaluation of zero-velocity detectors for foot-mounted inertial navigation systems , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[19]  Sang-Hyun Cho,et al.  Wearable Accelerometer System for Measuring the Temporal Parameters of Gait , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[20]  D. Alvarez,et al.  Multisensor Approach to Walking Distance Estimation with Foot Inertial Sensing , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[21]  Adriano A. G. Siqueira,et al.  Sensor fusion applied to position estimation and gait identification of an ankle-foot orthosis , 2011, ISSNIP Biosignals and Biorobotics Conference 2011.