Chenghong Lu
ABSTRACT
It is important for many applications to capture hand movements with high accuracy to achieve the natural human-computer interaction, such as games, robotics, rehabilitation, and virtual reality (VR). An ideal hand motion capture solution requires good mobility, unobtrusiveness, and high accuracy. In this demo, we show a hand motion capture system including inertial sensor based data gloves with the square-root cubature Kalman Filter multi-sensor fusion algorithm and a biomechanics sensor-to-segment calibration method. The absolute error of the joint angle is measured. As the result, the proposed system shows good accuracy in both static (RMSE = 1.5°) and dynamic (RMSE = 6.6°) conditions.
- Arasaratnam, I., and Haykin, S. Cubature kalman filters. IEEE Transactions on Automatic Control 54 (2009), 1254--1269.Google Scholar
Cross Ref
- Connolly, J., Condell, J., O'Flynn, B., Sanchez, J. T., and Gardiner, P. Imu sensor-based electronic goniometric glove for clinical finger movement analysis. IEEE Sensors Journal 18 (2018), 1273--1281.Google Scholar
- Rashid, A., and Hasan, O. Wearable technologies for hand joints monitoring for rehabilitation: A survey. Microelectron. J. 88 (2019), 173--183.Google ScholarDigital Library
- Salchow-Hömmen, C., Callies, L., Laidig, D., Valtin, M., Schauer, T., and Seel, T. A tangible solution for hand motion tracking in clinical applications. Sensors (Basel, Switzerland) 19 (2019).Google Scholar
- Vitali, R. V., and Perkins, N. C. Determining anatomical frames via inertial motion capture: A survey of methods. Journal of Biomechanics 106 (2020), 109832.Google ScholarCross Ref
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Hand motion capture system based on multiple inertial sensors: demo abstract
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