Abstract
Recently, an air mouse has been used for preventing wrist syndrome or for convenience of use. However, in the case of the conventional air mouse, most of it operates as a remote control type. In this study, a glove type air mouse was developed. We used Kalman filtering and complementary filtering in order to perform mouse operation properly. The Kalman filtering improves the accuracy of the measured data values, and the complementary filtering accurately transforms the 3D data into the 2D data. And, the glove-shaped air mouse is configured to include the function of the pen and the function of the laser point. This shows that it is more efficient than previous remote mouse.
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Acknowledgments
This work is result of a study on the “Leaders in INdustry-university Cooperation” Project, which is supported by the Korean Ministry of Education.
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Choi, J.S., Byoun, W.J., Park, J.S., Lee, M.H., Kang, Y.S., Lee, H. (2018). Glove Type Air Mouse Powered by Kalman Filtering and Complementary Filtering. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_164
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DOI: https://doi.org/10.1007/978-981-10-7605-3_164
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