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智能住宅中压力管理和睡眠卫生的改善。

Improving Stress Management and Sleep Hygiene in Intelligent Homes.

机构信息

Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Crete, Greece.

Department of Computer Science Heraklion, University of Crete, 70013 Heraklion, Crete, Greece.

出版信息

Sensors (Basel). 2021 Mar 30;21(7):2398. doi: 10.3390/s21072398.

DOI:10.3390/s21072398
PMID:33808468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8036360/
Abstract

High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. To this end, nowadays more than ever, it is crucial to deliver solutions that can help people to manage and control their stress, as well as to reduce sleep disturbances, so as to improve their health and overall quality of life. Technology, and in particular Ambient Intelligence Environments, can help towards that direction, when considering that they are able to understand the needs of their users, identify their behavior, learn their preferences, and act and react in their interest. This work presents two systems that have been designed and developed in the context of an Intelligent Home, namely CaLmi and HypnOS, which aim to assist users that struggle with stress and poor sleep quality, respectively. Both of the systems rely on real-time data collected by wearable devices, as well as contextual information retrieved from the ambient facilities of the Intelligent Home, so as to offer appropriate pervasive relaxation programs (CaLmi) or provide personalized insights regarding sleep hygiene (HypnOS) to the residents. This article will describe the design process that was followed, the functionality of both systems, the results of the user studies that were conducted for the evaluation of their end-user applications, and a discussion about future plans.

摘要

高压力水平和睡眠剥夺可能会导致一些心理健康或身体健康问题,如抑郁、记忆力减退、动机降低、肥胖等。COVID-19 大流行给我们的生活带来了前所未有的变化,产生了巨大的压力,以及对健康、社交隔离、就业和财务的担忧。为此,如今比以往任何时候都更重要的是,提供能够帮助人们管理和控制压力的解决方案,以及减少睡眠障碍,从而改善他们的健康和整体生活质量。技术,特别是环境智能环境,可以帮助我们实现这一目标,因为它们能够理解用户的需求,识别他们的行为,了解他们的偏好,并为他们的利益采取行动和做出反应。本文介绍了在智能家庭环境中设计和开发的两个系统,即 CaLmi 和 HypnOS,它们分别旨在帮助有压力和睡眠质量差的用户。这两个系统都依赖于可穿戴设备实时收集的数据,以及从智能家庭的环境设施中检索到的上下文信息,以便为居民提供适当的普及性放松计划(CaLmi)或提供有关睡眠卫生的个性化见解(HypnOS)。本文将描述所遵循的设计过程、这两个系统的功能、为评估其终端用户应用程序而进行的用户研究的结果,以及对未来计划的讨论。

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