Presentation Information
[TuE1-3]A Non-contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor
○yanyao chen1,2, Weimin Lyu1,2, Shijun Xiao2, Changyuan Yu1,2 (1. The Hong Kong Polytechnic University Jinjiang Technology and Innovation Research Institute, Jinjiang, Fujian, China (China), 2. Photonics Research Institute, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University (Hong Kong))
Keywords:
Fiber sensing and other applications
This paper introduces a non-contact sleep monitoring system based on a fiber optic Mach-Zehnder Interferometer (MZI). The proposed Noisy-label-learning Transformer algorithm is used to classify sleep stages, achieving an accuracy of 82.65%.
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