Abstract
This paper proposed a self-adaptive visual control system which is controlled by human eyes, the visual image tracking algorithm utilized by this system is also introduced in this paper. Through eye-gaze detection and electrical device control corresponding, it will automatically respond to the provided interface. This paper mainly introduces helmets and remote vision-based eye-gaze tracking algorithms; the algorithm has good performance in aspects of usability and adaptability.
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Wu, P.H., Hu, G.Q., Wang, D. (2019). The Study of Visual Self-adaptive Controlled MeanShift Algorithm. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_52
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DOI: https://doi.org/10.1007/978-3-319-91008-6_52
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