Application and Research of Wearable Smart Devices to Assist Sleep

DOI

10.2991/978-2-38476-222-4_70How to use a DOI?

Keywords

sleep efficiency; artificial intelligence; sleep data visualization; electromagnetic interference; electroencephalography; lucid dreaming

Abstract

Sleep problems have become one of the main factors of contemporary sub-health, and are a very common problem for all ages. The China Sleep Study 2022 states that the global rate of sleep disorders is 27%, and in China, the incidence of insomnia among adults is over 38.2%, and 50% of students suffer from sleep deprivation. One-third of a person’s life is spent in sleep when we cannot do anything, and too much time spent preparing for sleep will be wasted. With the development of artificial intelligence, it seems that we can improve sleep quality and efficiency through artificial intelligence technology. The article proposes a non-invasive way to conduct electrical waves to guide the sleep process and state, and to store, transmit and analyze data on the sleep process and the active state of brain cells. The wearable device senses and collects data, which is analyzed by an algorithm that detects and assesses the quality of a person’s sleep and sleep environment, producing a sleep report. The sleep meter analyses the sleep and regulates the sleep through different wavelengths. The results show that artificial intelligence can be used to enhance sleep efficiency through Brain-Machine Interface, as well as some thoughts on the social issues that this approach may bring about, an unrestrained idea for making the most of sleep time.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yilin Zhang
PY  - 2024
DA  - 2024/03/26
TI  - Application and Research of Wearable Smart Devices to Assist Sleep
BT  - Proceedings of the 3rd International Conference on Culture, Design and Social Development (CDSD 2023)
PB  - Atlantis Press
SP  - 565
EP  - 579
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-222-4_70
DO  - 10.2991/978-2-38476-222-4_70
ID  - Zhang2024
ER  -