Abstract
The acupuncture points are given acupuncture or acupressure so to stimulate the meridians on each corresponding internal organs with a treatment of physical illness. The goal of this study is to use image technique to automatically find acupuncture positions of a palm to help non-related professionals can clearly identify the location of acupuncture points on him palm. In this paper, we use the skin color detection, color transform, edge detection, histogram and fast packet method to extract the palm and find out the acupunctures. First, we use fast packet method to get the acupunctures of the finger. And then a histogram technique was used to obtain the acupuncture points of the valley of the fingers. Finally, the valley points and fingertips of the finger are used as a reference combined with the standard deviation of data images to calculate the position of the palm acupuncture points. From the simulation result, it is demonstrated that our design is an effective method for indicating the acupuncture points of a palm.
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Chen, WY., Huang, SY., Lin, JS. (2018). Design of Palm Acupuncture Points Indicator. In: Lu, H., Xu, X. (eds) Artificial Intelligence and Robotics. Studies in Computational Intelligence, vol 752. Springer, Cham. https://doi.org/10.1007/978-3-319-69877-9_2
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DOI: https://doi.org/10.1007/978-3-319-69877-9_2
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