## 2 Related Work
Remote home monitoring systems for seniors are designed to allow seniors to live independently while providing support and assistance as needed. These systems typically include a variety of sensors and wearables that can track various aspects of the senior's health and well-being, including sleep patterns. Some common metrics that are used in these systems include heart rate, oxygen levels, and movement patterns. Other metrics may include sleep duration, sleep quality, and numberof awakenings. The system configuration management in these systems may include the use of wireless sensors, mobile devices, and cloud-based services to monitor and collect data. The application domain of these systems is typically in the field of healthcare and aging, with the goal of providing seniors with the support they need to live independently for as long as possible. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Reference** & **Metrics** & **System Configuration Management** & **Application Domain** & **Brief Description** \\ \hline
[25] & Sleep duration, sleep efficiency, movement detection & Wireless sensor network & Elderly care & A WSN system that uses motion sensors to monitor sleep patterns and movement of seniors in their homes, with the aim of promoting independent living. & A wearable device that utilizes various sensors to measure physiological parameters and classify sleep stages, with the aim of improving diagnosis and treatment of sleep disorders. & A smart home system that uses a combination of sensors and cameras to monitor sleep and activity patterns of seniors, with the aim of detecting abnormal behavior and providing health interventions. & A WSN for monitoring sleep efficiency in the elderly population. \\ \hline
[21] & Sleep duration, activity levels, ambient light, temperature & Smart home system & Geriatric care & A smartwatch-based system for measuring sleep duration in healthy adults. \\ \hline
[29] & Sleep quality & Body-worn sensors & Athletics & A body-worn sensor system for assessing sleep quality in athletes. \\ \hline
[30] & Sleep efficiency, Sleep duration, Sleep fragmentation, Sleep quality & Smartphone-based application & General population & A smartphone-based application for monitoring sleep efficiency, sleep duration, sleep management, and sleep quality in the general population. \\ \hline
[31] & Sleep efficiency, sleep latency, wake after sleep onset, total sleep time & Wearable activity device + remote monitoring system & Independent living for older adults & A feasibility study of using wearable activity devices and a remote monitoring system to track sleep patterns in older adults living independently. \\ \hline
[32] & Sleep efficiency, sleep latency, wake after sleep onset, total sleep time & Wearable activity device + remote monitoring system & Independent living for older adults & A randomized controlled trial of using wearable activity devices and a remote monitoring system to track sleep patterns in older adults living independently in a community setting. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of metrics with related work addressing sensors and/or wearables for sleep monitoring. Table 2 provides a comprehensive comparison of various sleep monitoring mechanisms, including proposals from the literature and the state of the art. Each mechanism is evaluated based on its unique features and contributions. These existing mechanisms offer valuable insights into sleep monitoring, such as detecting sleep stages, assessing stress levels, monitoring sleep apnea, analyzing sleep patterns, observing sleep behavior, and tracking snoring. However, our proposed system, based on a non-invasive wireless sensor network (WSN) located in people's homes, introduces significant advancements in sleep monitoring technology. It operates without the need for wearables, making it more comfortable for users. The system monitors various parameters, such as luminosity, noise, and movement, providing a comprehensive view of the sleep environment and body parameters.