Cultivating Chan with Calibration

Cultivating Chan with Calibration

Yuezhe Li, Yuchou Chang, Hong Lin
ISBN13: 9781522517597|ISBN10: 1522517596|EISBN13: 9781522517603
DOI: 10.4018/978-1-5225-1759-7.ch055
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MLA

Li, Yuezhe, et al. "Cultivating Chan with Calibration." Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 1339-1360. https://doi.org/10.4018/978-1-5225-1759-7.ch055

APA

Li, Y., Chang, Y., & Lin, H. (2017). Cultivating Chan with Calibration. In I. Management Association (Ed.), Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 1339-1360). IGI Global. https://doi.org/10.4018/978-1-5225-1759-7.ch055

Chicago

Li, Yuezhe, Yuchou Chang, and Hong Lin. "Cultivating Chan with Calibration." In Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1339-1360. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1759-7.ch055

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Abstract

Chan is a superior mental training methodology derived from Buddhism and absorbed the wisdom of religious practitioners, philosophers, and scholars around Eastern Asia through thousands of years. As the primary way of Chan, meditation has clear effects in bringing practitioners' mind into a tranquil state and promoting both the mental and the physical health. The effect of Chan is measurable. The authors propose to establish a Chan science by applying modern experimental sciences to various models. In particular, machine learning methods have been used to classify brain states using electroencephalogram (EEG) data. The experimental results show potential in building brain state models for calibrating the routine of meditation. Through these studies, the authors believe they will be able to make Chan a beneficial practice to promote human's life in modern society.

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