IoT Based Smart Pillow for Improved Sleep Experience

W.M. Samoda Ravishani, G.A. Sithmi Ganepola, E.D.M. Silva, G.H.G. Chamodi Jayanika, U. U. Samantha Rajapaksha, N.H.P. Ravi Supunya Swarnakantha
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Abstract

Maintaining appropriate health by avoiding illnesses brought on by stress, heart disease, stroke, insomnia, and hormonal imbalance is made possible by managing the quality of sleep necessary for brain and memory-related tasks. In order to reduce these phenomena, we concentrated on recognizing them and developing strategies to do so. As a result, we decided to use smart pillows and bands that are Internet of Things (IoT)-based. To connect the touch sensor and relay module for improving sleep quality with the help of an automatic alarm system and light treatment system, an ESP-32 (microcontroller) was built into the pillow. The band will also have a second ESP 32 that can be connected to an oximeter, gyro, and accelerometer to improve the sleepwalk alert and health monitoring systems’ accuracy. The mobile application will also be created so that the patient and the doctor may review the patient’s sleeping patterns, and the CNN-based deep learning architecture was used to develop the emotion recognition function that uses music to improve sleep quality. For a better sleep experience, we will refer to the smart band and pillow as ”MAGICAL PILLOW” and ”MAGICAL BAND” as the ultimate products.
基于物联网的智能枕头改善睡眠体验
通过控制大脑和记忆相关任务所需的睡眠质量,避免由压力、心脏病、中风、失眠和荷尔蒙失衡引起的疾病,从而保持适当的健康。为了减少这些现象,我们专注于识别它们并制定相应的策略。因此,我们决定使用基于物联网(IoT)的智能枕头和手环。为了连接触摸传感器和继电器模块,通过自动报警系统和光处理系统来改善睡眠质量,枕头中内置了一个ESP-32(微控制器)。这款手环还将有第二个ESP 32,可以连接到血氧计、陀螺仪和加速度计,以提高梦游警报和健康监测系统的准确性。为了让患者和医生能够查看患者的睡眠模式,还将开发移动应用程序,并利用基于cnn的深度学习架构开发利用音乐改善睡眠质量的情绪识别功能。为了更好的睡眠体验,我们将智能手环和枕头统称为“MAGICAL pillow”,将“MAGICAL band”作为终极产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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