**Author details**

Hongyu Zhao1,2\*, Sen Qiu2 , Zhelong Wang2 , Ning Yang2 , Jie Li2 and Jianjun Wang3

1 Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China

2 School of Control Science and Engineering, Dalian University of Technology, Dalian, China

3 Beijing Institute of Spacecraft System Engineering, Beijing, China

\*Address all correspondence to: zhaohy@dlut.edu.cn

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

**97**

*Applications of MEMS Gyroscope for Human Gait Analysis*

International Conference on Systems and Informatics (ICSAI '17); 11-13 November 2017; Hangzhou, China

[9] Therapy OP. Gait Analysis [Internet]. 2019. Available from: http://onpoint-pt. com/services/ [Accessed: 26 March

[10] Vicon. Motion Capture for Life Science [Internet]. 2019. Available from: https://www.vicon.com/motion-capture/ life-sciences [Accessed: 26 March 2019]

[11] Chen S, Lach J, Lo B, Yang GZ. Towards pervasive gait analysis for medicine with wearable sensors: A systematic review. IEEE Journal of Biomedical and Health Informatics.

[12] Qiu S, Wang Z, Zhao H, Liu L, Li J, Jiang Y, et al. Body sensor network based robust gait analysis: Toward clinical and at home use. IEEE Sensors

[13] Zhao H, Wang Z, Shang H, Hu W, Gao Q. A time-controllable Allan variance method for MEMS IMU. Industrial Robot: An International

Journal. 2013;**40**(2):111-120

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2015;**35**(4):389-400

Fusion. 2018;**39**:108-119

[14] Choe N, Zhao H, Qiu S, So Y. A sensor-to-segment calibration method for motion capture system based on low cost MIMU. Measurement.

[15] Zhao H, Wang Z, Gao Q, Hassan MM, Alelaiwi A. Smooth estimation of human foot motion for zero-velocityupdate-aided inertial pedestrian navigation system. Sensor Review.

[16] Qiu S, Wang Z, Zhao H, Qin K, Li Z, Hu H. Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion. Information

2016;**20**(6):1521-1537

Journal. 2019

2019]

*DOI: http://dx.doi.org/10.5772/intechopen.86837*

[1] Bioengineering B. BTS GAITLAB: Integrated Gait Analysis Systems [Internet]. 2019. Available from: https:// www.btsbioengineering.com/products/ bts-gaitlab-gait-analysis/ [Accessed: 22

[2] Physiotherapy S. Running and gait analysis [Internet]. 2019. Available from: https://southfieldsphysio.co.uk/ index.php/services/running-gaitanalysis [Accessed: 22 March 2019]

[3] Paramanandam V, Lizarraga KJ, Soh D, Algarni M, Rohani M, Fasano A. Unusual gait disorders: A phenomenological approach and classification. Expert Review of Neurotherapeutics. 2019;**19**(2):119-132

[4] Qiu S, Liu L, Zhao H, Wang Z, Jiang Y. MEMS inertial sensors based gait analysis for rehabilitation assessment via multi-sensor fusion. Micromachines. 2018;**9**(9):442

[5] Qiu S, Wang Z, Zhao H, Liu L, Jiang Y. Using body-worn sensors for preliminary rehabilitation assessment in stroke victims with gait impairment. IEEE Access. 2018;**6**:31249-31258

[6] Morris R, Hickey A, Del Din S, Godfrey A, Lord S, Rochester L. A model of free-living gait: A factor analysis in Parkinson's disease. Gait and

[7] Zhao H, Wang Z, Qiu S, Ning Y, Shen Y. Examination of Gait Disorders in Hemiparesis Patients using Foot-Mounted Inertial Sensors. In: The 6th International Conference on Communications, Signal Processing, and Systems (CSPS '17); 14-16 July 2017;

[8] Zhao H, Wang Z, Qiu S, Shen Y, Wang J. IMU-based Gait Analysis for Rehabilitation Assessment of Patients with Gait Disorders. In: The 4th

Posture. 2017;**52**:68-71

Harbin, China

**References**

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*Applications of MEMS Gyroscope for Human Gait Analysis DOI: http://dx.doi.org/10.5772/intechopen.86837*
