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.
Sleep is important for many vital functions. Unfortunately, many people suffer from sleep-related problems, which have negative consequences on sleep quality and therefore on quality of life. Considering the important health benefits of a good night’s sleep, it is crucial to investigate technological solutions that promote and improve sleep hygiene. To that end, the HypnOS framework for “Intelligent Homes” is introduced, aiming to improve the sleep quality of home residents by monitoring their sleep and providing personalized recommendations to overcome sleep-related issues. It describes the design process that was followed, presents its functionality, reports the findings of an expert-based evaluation of the HypnOS mobile app and discusses future plans.
In today's fast-paced and demanding society, more and more people are suffering from stress-related problems; however, intelligent environments can be equipped with facilities that assist in keeping it under control. This paper presents CaLmi, a system for Intelligent Homes that aims to reduce the stress of its residents by: (a) monitoring its level through a combination of biometric measurements from a wearable device along with information about user's everyday life and (b) enabling the ubiquitous presentation of relaxation programs, which deliver multi-sensory, context-aware, personalized interventions.