Stress is a term of everyday life that everyone uses when feeling nervous, threatened, or overwhelmed, and it can be defined as the body’s response to demanding situations. HypnOS also interoperates with the pervasive relaxation program player of CaLmi in order to help users fall asleep when required. HypnOS, on the other hand, is an unobtrusive sleep monitoring and recommendation system that not only detects sleep abnormalities, but it also presents insights to the residents about the potential causes of their sleep-related issues, enabling them to act accordingly. It offers a pervasive relaxation program player that can create a relaxing experience by projecting multimedia to all room’s display areas, playing appropriate sound(s) from the room’s speakers, adjusting the ambient lighting conditions, releasing a pleasant scent into the room, etc. In particular, CaLmi is a stress management system that uses both biofeedback and contextual information in order to detect whether the stress level of an individual increases, and it outline potential causes for that increase. Towards this direction, this work presents CaLmi and HypnOS, two systems that utilize the infrastructure of the Intelligent Home of ICS-FORTH ( accessed on 3 February 2021), so as to retrieve and extract relevant contextual information regarding the user’s daily routines and habits (e.g., diet, work schedule, and fitness), and act accordingly towards relaxing the residents and improving their sleep quality. ![]() 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. 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 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. ![]() 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. 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. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc.
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