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作 者:Qing Yang Yanzhen Miao Jiacheng Zhu Zhuolin Xiao Qing Yang;Yanzhen Miao;Jiacheng Zhu;Zhuolin Xiao(Department of Food and Pharmacy, Qingyuan Polytechnic, Qingyuan, China;Department of Foreign Language and Economics and Trade, Qingyuan Polytechnic, Qingyuan, China)
机构地区:[1]Department of Food and Pharmacy, Qingyuan Polytechnic, Qingyuan, China [2]Department of Foreign Language and Economics and Trade, Qingyuan Polytechnic, Qingyuan, China
出 处:《Journal of Computer and Communications》2024年第12期72-83,共12页电脑和通信(英文)
摘 要: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.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.
关 键 词:KANO Model Intelligentization Snoring Sleep Pillow
分 类 号:TN9[电子电信—信息与通信工程]
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