Dynamic Color Temperature Sleep Assitant Light Implemented on the Mobile Device

Chen, Chien‐Yu; Wang, You-Kwang

doi:10.1109/lighting47792.2020.9240590

2020 Fifth Junior Conference on Lighting (Lighting) 2020

DOI: 10.1109/lighting47792.2020.9240590

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Dynamic Color Temperature Sleep Assitant Light Implemented on the Mobile Device

Chien‐Yu Chen

You-Kwang Wang

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2023

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“…Our research extends beyond prior endeavors in dynamic sleep-inducing illumination [50,[56][57][58], aiming to minimize undue physiological data acquisition and re-shape the paradigm of physiological data analysis from smart wearable devices. Prospective work entails utilizing physiological data harnessed wearable devices to conduct sleep state analyses, enabling refinements to dynamic sleep-inducing illumination, and amplifying users' sleep efficiency.…”

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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions

Wang,

Chen

2023

Applied Sciences

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As medical technology continues to evolve, the importance of real-time feedback from physiological signals is increasingly being recognized. The advent of the Internet of Things (IoT) has facilitated seamless connectivity between sensors and virtual networks, enabling the integration of thoughtful medical care with real-time feedback capabilities. This project uses cloud storage technology and cloud software algorithms to enable data sharing and real-time feedback. Its main focus is to provide a system for real-time feedback on physiological signals and sleep quality analysis. The system uses smart wristbands and smart mobile devices to collect, transmit, and analyze physiological data. During sleep, users wear these devices, which capture and analyze their physiological data. The analyzed data are then stored in a cloud-based database. The research involves studying sleep quality and determining optimal sleep quality parameters based on the data stored in the cloud database. These parameters are designed to improve sleep quality. They are then transmitted to a mobile sleep aid device to control light conditions. The sleep aid software used in previous generations of mobile devices is the basis for expanding the integration of the sleep detection system. By combining the software of a mobile device platform with that of a smart wearable device, data can be obtained to monitor the wearer’s movements, such as turning over and heartbeat. The monitoring aspect includes tracking the turning time, distance, and speed, while the heartbeat monitoring includes detecting changes in heart rate, frequency, and interval using photoplethysmography (PPG) and smart wearable devices. Subsequently, artificial intelligence methods are employed to conduct statistical analysis and categorize the gathered extensive dataset. The system reads the data and provides the user with assessments and suggestions to improve sleep quality and overall sleep condition.

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confidence: 99%

Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions

Wang,

Chen

2023

Applied Sciences

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Dynamic Color Temperature Sleep Assitant Light Implemented on the Mobile Device

Cited by 1 publication

References 10 publications

Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions

Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions

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