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Award ID contains: 1805896

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  1. (, Proceedings of the 9th World Congress of Biomechanics)
    Inertial measurement units (IMUs) are an alternative to traditional optical motion capture systems that allow for data collection outside the lab and continuous monitoring for daily activities. In this study, a non-linear least squares optimization was used to convert IMU measurements into joint kinematics. The optimization calculates joint angles simultaneously over all time frames by optimizing B-spline nodes, without integrating any IMU measurements. This approach enables an accurate solution that works well with noisy experimental IMU data since integration errors are eliminated. 
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    Accepted Manuscript Full Text Available
  2. (, 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering)
    Accepted Manuscript Full Text Available
  3. (, Proceedings of the 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering)
    Inertial measurement units (IMUs) could provide an attractive alternative to video motion capture systems for measuring walking in a non-laboratory setting. This study applied an optimization method to an 18-DOF lower body model to convert synthetic IMU data into corresponding joint angles. 
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    Accepted Manuscript Full Text Available
  4. (, XXVIII Congress of the International Society of Biomechanics)
    null (Ed.)
    Accepted Manuscript Full Text Available
  5. (, 18th International Symposium on Computer Simulation in Biomechanics)
    null (Ed.)
    Accepted Manuscript Full Text Available