Design of wireless inertial trackers for human joint motion analysis

To, Gary; Mahfouz, Mohamed R.

doi:10.1109/biowireless.2012.6172737

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…The IMU system performed poorly under deep knee-bend and chair-rise activities in previous study [30]. These activities were performed and monitored with the modular inertial and optical tracking systems (see Fig.…”

Section: Resultsmentioning

confidence: 99%

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Quaternionic Attitude Estimation for Robotic and Human Motion Tracking Using Sequential Monte Carlo Methods With von Mises-Fisher and Nonuniform Densities Simulations

Mahfouz

2013

IEEE Trans. Biomed. Eng.

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In recent years, wireless positioning and tracking devices based on semiconductor micro electro-mechanical system (MEMS) sensors have successfully integrated into the consumer electronics market. Information from the sensors is processed by an attitude estimation program. Many of these algorithms were developed primarily for aeronautical applications. The parameters affecting the accuracy and stability of the system vary with the intended application. The performance of these algorithms occasionally destabilize during human motion tracking activities, which does not satisfy the reliability and high accuracy demand in biomedical application. A previous study accessed the feasibility of using semiconductor based inertial measurement units (IMUs) for human motion tracking. IMU hardware has been redesigned and an attitude estimation algorithm using sequential Monte Carlo (SMC) methods, or particle filter, for quaternions was developed. The method presented in this paper uses von Mises-Fisher and a nonuniform simulation to provide density estimation of the rotation group SO(3). Synthetic signal simulation, robotics applications, and human applications have been investigated.

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Section: Resultsmentioning

confidence: 99%

“…However, these devices are not typically designed for medical applications that demand high accuracies and repeatability. In a previous study, off-the-shelf IMUs and an IMU prototype were tested [30]. The data were processed with a quaternionic EKF, and the outputs of the two designs were compared to an optical tracking system.…”

mentioning

confidence: 99%

Quaternionic Attitude Estimation for Robotic and Human Motion Tracking Using Sequential Monte Carlo Methods With von Mises-Fisher and Nonuniform Densities Simulations

Mahfouz

2013

IEEE Trans. Biomed. Eng.

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“…In previous study, off the shell IMU and an initial design of the IMU were tested [17]. The data was processed with a quaternion based extended Kalman filter and the output of the two designs were compared to an optical tracking system.…”

Section: Introductionmentioning

confidence: 99%

Modular wireless inertial trackers for biomedical applications

Mahfouz

2013

2013 IEEE Radio and Wireless Symposium

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In the past few years, semiconductor based wireless positing and tracking devices have successfully integrated into consumer electronics devices. The sensors track the movement and the orientation of the device to provide a positioning feedback to the program. However, the accuracy of these trackers is typically not acceptable for biomedical application which demands high accuracy. Previous study was performed to access the feasibility of using semiconductor based inertial measurement units (IMU) for human motion tracking. After evaluating the strength and weakness in the previous IMU modules, several modifications and improvement were made. A modular IMU was designed with high resolution ADC. A statistical based approach for orientation tracking is currently being developed and preliminary data were presented and compared with other tracking algorithms.

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