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Miao, W.Z. (2022) Cervical Spine Pillow Design Based on Artificial Intelligence. Master’s Thesis, Harbin University of Science and Technology.

has been cited by the following article:

• TITLE: Design of Intelligent Anti-Snoring Sleep Pillow Based on QFD-KANO Model in the Context of Consumption Upgrading Among Urban and Rural Residents

  AUTHORS: Qing Yang, Yanzhen Miao, Jiacheng Zhu, Zhuolin Xiao

  KEYWORDS: KANO Model, Intelligentization, Snoring Sleep Pillow

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.12, December 19, 2024

  ABSTRACT: By using a questionnaire survey method to understand and explore user needs, combined with the QFD-KANO model to quantify research results, and using the “Better Worse coefficient” statistical method, the survey results are transformed into design practices. In the design practice, technologies such as sensors, signal processing, and control systems were adopted to achieve precise recognition and intelligent control of snoring sounds. The test results show that the intelligent anti snoring sleep aid pillow can achieve a snoring recognition accuracy of 94%, with high reliability and stability.