Abstract
This paper presents the construction of a system composed by inertial sensors and the linkage with a biped robot, our main aim is the obtaining, quantification and analysis of human body posture (in rest or in motion). To achieve this, we have three objectives:
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1.
Determination and obtaining, of kinematics and dynamic of the body joints,
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2.
Imitation of body movements (biped robot prototype)
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3.
Quantification of anomalies presented in the human gait.
For this purpose, we present the development a sensorial system capable to obtaining the angles in the human body.
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References
Yang, Z., Ka-Chun, C., Charlie, C.: Pedalvatar: an IMU-based real-time body motion capture system. In: International Conference on Intelligent Robots and Systems, Chicago, IL, pp. 4130–4135 (2014)
Diana, C., Mihaela, B.: Biomechanical analyzes of human body stability and equilibrium. In: Proceedings of the World Congress on Engineering 2010, London, vol. II (2010)
William, F., Michael, Z., Robert, M., Bill, C.: Off-the-Shelf, Real-Time, Human Body Motion Capture for Synthetic Environments. Computer Science Department Naval Postgraduate School, Monterey, California (1996)
Daniel, R., Henk, L., Per, R.: Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors. Xsens Technologies (2013)
Mark, W., Seth, H., Vidyasagar, V.: Robot Modeling and Control. Rigid Motions and Homogeneous Transformations, pp. 29–64. Wiley, New York (2010)
Walter, T., Higgins J.: A comparison of complementary and Kalman filtering. In: IEEE Tranactions on Aerospace and Electronic Systems, Arizona State University (1975)
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Alvarado, D., Corona, L., Muñoz, S., Aquino, J. (2017). Sensorial System for Obtaining the Angles of the Human Movement in the Coronal and Sagittal Anatomical Planes. In: Sidorov, G., Herrera-Alcántara, O. (eds) Advances in Computational Intelligence. MICAI 2016. Lecture Notes in Computer Science(), vol 10061. Springer, Cham. https://doi.org/10.1007/978-3-319-62434-1_43
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DOI: https://doi.org/10.1007/978-3-319-62434-1_43
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