Inertial Measurement units based wireless sensor network for real time gait analysis
| Autor: | Charitha Saumya, Imesh Lihinikaduarachchi, Sajith Asanka Rajapaksha, Viraj Senevirathne, Pujitha Silva |
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| Rok vydání: | 2015 |
| Předmět: |
Engineering
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pendulum Hinge joint Gyroscope Kinematics Kalman filter Accelerometer law.invention Computer Science::Robotics Units of measurement medicine.anatomical_structure law Gait analysis medicine business Simulation ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | TENCON 2015 - 2015 IEEE Region 10 Conference. |
| DOI: | 10.1109/tencon.2015.7372999 |
| Popis: | This paper discusses a methodology to analyze human gait using a wearable sensor mechanism based on Inertial Measurement Units (IMUs). Our approach uses three 6 DOF Inertial Measurement Units to analyze the motion of the lower limb. The kinematic constraints induced by a hinge joint are used to accurately estimate the joint axes of the knee and ankle joints. This method does not require the sensors to be placed on a predefined orientation. Kalman filtering based sensor fusion algorithm is implemented to fusion the gyroscope and accelerometer readings and calculate accurate joint angles. The accuracy of the algorithms is tested using pendulum motion and experimental results taken from people without any gait disorders. Finally the system is used to test two sets of people with and without gait disorders and a comparison of the results is also presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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