## 2 Related Work  
Remote monitoring systems for seniors in homes refer to technology-based systems that allow for the monitoring of elderly individuals at their own homes, without the need for in-person assistance. These systems often use sensors and wearable devices to collect data about the individual's health, activity levels, and environment. The state of the art in remote monitoring systems with sensor networks in smart homes for the elderly is an active field of research, with many studies and projects being conducted to improve the capabilities and effectiveness of these systems. Some recent related works include the use of wearable sensors to monitor vital signs such as heart rate and oxygen saturation, as well as the use of cameras and other non-wearable sensors to track the individual's movements and activities. Researchers are also exploring the use of machine learning and artificial intelligence techniques to analyze the data collected by the sensors and detect potential issues or changes in the individual's health or well-being. Other related works include the use of virtual assistants and other forms of human-computer interaction to provide support and assistance to the elderly individuals, as well as the use of blockchain technology to ensure the security and privacy of the data collected by the system. The exploitation of technology and, especially, sensor-based information networks, is considered an effective solution for social assistance. With the advantages provided by technology, several studies [13; 14; 15], have succeeded in implementing embedded systems to achieve constant monitoring of human body values. Specialists and researchers from different sciences, health professionals, and scientists devoted to study biomedicine are currently developing embedded systems to monitor patients' health in search of real data. The works cited in [16; 17] conducted studies based on technological tools to work in unusual places without human beings and with equipment with minimal energy consumption to process, transmit, and visualize information. Implementing and fine-tuning remote monitoring and assistance systems is a highly complex process that is attempting to be solved by building smart homes. Researchers of the work cited in [18] designed a device based on an artificial intelligence algorithm that analyzes the signals around the person to assess their level of sleep in light, deep, or REM. Other studies [19], reveal that low-power radio waves that detect small changes in body movement caused by the patient's breathing and pulse rate can non-intrusively diagnose and study sleep problems. Studies [20] have shown that remote monitoring systems can positively impact sleep practices in seniors. For example, wearable devices that track sleep patterns can provide useful insights into the individual's sleep quality and habits, allowing for the identification of any sleep-related issues and the implementation of interventions to improve sleep. Additionally, remote monitoring systems [21] can also provide a sense of safety and security, which can help to reduce anxiety and promote better sleep. However, there are also concerns that the constant monitoring and use of technology can have a negative impact on sleep practices [22]. For instance, exposure to screens and other sources of blue light before bedtime can disrupt the natural sleep-wake cycle and lead to insomnia. Furthermore, the continuous use of technology can also increase the likelihood of being woken up during the night by notifications or alarms from the monitoring system. Remote monitoring systems for seniors in homes can have both positive and negative impacts on sleep practices [23]. It is important to consider the potential benefits and drawbacks of these systems when deciding on the best approach for monitoring elderly individuals at their own homes, as in a previews work cited in [24]. Table 1 describes a comparison of metrics with related work addressing sensors and/or wearables for sleep monitoring.