Sensor system, sleeping space, and method for optimizing sleep quality and comfort

Abstract

A sensor system, a sleeping space, and a method for optimizing sleep quality and comfort. The sensor system for sleep monitoring is incorporated within household appliances like ceiling fans or lighting fixtures. It allows precise detection and classification of human movements and behaviors during sleep. The system not only significantly enhances the quality of sleep tracking but also optimizes the operation of ceiling fans, leading to a more comfortable and safer sleep environment. The system may be integrated into other similar indoor electronic devices, including lighting fixtures, lighting bulbs, mirrors, and air conditioning units with full functionality. The system may be integrated into a standalone radar device with full functionality. This system has wide-reaching implications for personalized healthcare, early disease detection, and improved sleep quality, ultimately contributing to the well-being of individuals.

Description

SENSOR SYSTEM, SLEEPING SPACE, AND METHOD FOR OPTIMIZING SLEEP QUALITY AND COMFORTTechnical Field

[0001] The present invention relates to monitoring systems and more particularly to a system and method for sleep monitoring systems.Background Art

[0002] Monitoring sleep in bed is an integral aspect of personal well-being and healthcare management. Several compelling reasons underscore the importance of actively monitoring and analyzing sleep patterns. Consistently monitoring sleep can provide essential insights into an individual's overall health. Subtle variations in sleep patterns can serve as early indicators of potential health issues, including sleep disorders, cardiovascular problems, diabetes, and various mental health conditions. Sleep disorders like sleep apnea, insomnia, restless leg syndrome, and narcolepsy can have a profound impact on one's daily life. Timely and continuous sleep monitoring can enable the early identification of these disorders, facilitating prompt intervention and appropriate treatment. Sleep duration and quality are directly related to one's overall health and well-being. Continuous sleep monitoring can offer valuable data that can be leveraged to make lifestyle adjustments, promoting better sleep quality. This includes changes in bedtime routines, diet, and physical activity to foster improved sleep.

[0003] Further, poor sleep patterns are often associated with elevated stress levels. Monitoring sleep over time can help individuals recognize periods of disrupted sleep coinciding with stressful life events. This awareness can inform the development of effective stress management strategies. Athletes, professionals, and students can significantly benefit from sleep monitoring to enhance their performance. A robust night's sleep is fundamental for cognitive and physical functioning. By tracking sleep habits, individuals can gain a better understanding of how sleep quality impacts their daily performance. Healthcare providers can use data on sleep patterns to design customized treatment plans addressing specific sleep-related concerns. Regular sleep monitoring promotes the adoption of good sleep hygiene practices. Individuals can learn more about their unique sleep patterns and, in turn, make informed decisions regarding their sleep environment, bedtime routines, and screen usage before sleep. In professions where alertness is mission-critical, such as transportation and healthcare, sleep monitoring plays a pivotal role in identifying fatigue-related risks. The management of chronic conditions like hypertension and obesity can be positively influenced by monitoring sleep. It helps individuals and healthcare professionals track how these conditions affect sleep patterns and facilitates adjustments for improved health outcomes. In conclusion, actively monitoring sleep while in bed is pivotal for making informed decisions about health, well-being, and performance. The data collected through sleep monitoring not only empowers individuals but also propels advancements in sleep science and the realm of personalized healthcare.

[0004] However, monitoring and enhancing sleep quality are complex endeavors. The challenges in prior art related to sleep monitoring and indoor environmental control systems often include limitations in the precision and scope of monitoring, as well as the difficulty of seamlessly integrating multiple sensors into existing room structures. These systems may struggle with accurately detecting subtle human movements, distinguishing between individuals, and providing a comprehensive analysis of sleep quality indicators. The challenge also lies in balancing aesthetics and functionality when integrating monitoring equipment into household appliances, like ceiling fans, in a way that does not detract from the visual or operational appeal of the appliance. Additionally, prior art may not adequately address the use of radar-based sensors and advanced data processing to optimize sleep monitoring, making it essential for innovations like the present invention to tackle these limitations.

[0005] Thus, there remains a significant need for improved home automation systems, methods, and technologies. Specifically, most prior efforts entail complex, not well positioned, and mediocre performing systems. Some efforts to simplify, integrate and provide a radar-based system in detecting health monitoring are the need of our times. Technical Problem

[0006] The main object of the present invention is to provide a sensor system for monitoring and optimizing the sleep quality, comfort, health, and wellbeing of individuals.

[0007] A second object of the present invention aims to provide a sleeping space, which can perform monitoring and optimizing the sleep quality, comfort, health, and wellbeing of individuals.

[0008] A third object of the present invention aims to provide a method for optimizing sleep quality and comfort in a shared sleeping space.Technical Solution

[0009] The objective of the invention is to create a versatile system that can be used in various environments, such as residential spaces, hospitals, rehabilitation centers, hotels, senior citizen homes, and even passenger cruise ships. The core innovation in this invention is the placement of a sensor integrated into a ceiling fan (or a similar device) directly above an individual's bed to optimize data collection.

[0010] The proposed invention of radar module and interfaces includes the integration to other similar indoor electronic devices, including lighting fixtures, lighting bulbs, mirrors, and air conditioning units.

[0011] The proposed invention of radar module and interfaces includes a standalone radar device with full functionality.

[0012] To obtain the object of the invention, a sensor system for monitoring and optimizing sleep quality, comfort, health, and wellbeing of individuals, comprises:

[0013] a radar sensor integrated into an elevated indoor appliance or integrated into a standalone radar device connected with the elevated indoor appliance, configured to monitor individuals within a room to collect data related to presence, sleep states and movements of individuals, wherein the radar sensor is strategically placed for optimal data collection in a location;

[0014] a processor, for analyzing and processing the collected data for converting the collected data into distinct objects, algorithmically categorizing said objects into groups, including 'grown-ups,' 'toddlers,' 'babies,' and 'others', and algorithmically assessing and labeling physical states of said objects; and for generating control signals based on the analyzed and processed data;

[0015] a communication means for transmitting the collected data and / or the processed data and / or the control signals to a control component in an environmental device; and

[0016] the control component of an environmental device, based on the collected data and / or the processed data and / or the control signals, for initiating adjusting the environmental device to facilitate a return to a calm and deep sleep state for individuals.

[0017] In some embodiments, the sensor system further comprises a data sharing means for enabling Ambient Intelligence through an exchange of data with third-party devices for additional service applications.

[0018] In some embodiments, the radar sensor is capable of capturing and analyzing data to classify postures, movements, sleep states, and agitation levels of the individuals; the radar sensor includes a passive millimeter wave sensor and / or an active millimeter wave sensor; the communication means uses a wired method and / or a wireless method.

[0019] In some embodiments, the elevated indoor appliance includes one or more of a ceiling fan, a lighting device, a mirror or an air conditioning device; the environmental device is one or more of a ceiling fan, a lighting device, or an air conditioning device; the elevated indoor appliance and the environmental device are the same device or two independent devices.

[0020] In some embodiments, when the environmental device is a ceiling fan or an air conditioning device, the adjusting comprises adjusting a fan’s speed, and / or an airflow direction and / or a preset temperature, or on / off; when the environmental device is a lighting device, the adjusting comprises adjusting intensity of ambient light, or on / off.

[0021] In some embodiments, the processor comprises an AI processor, a microcontroller or a microprocessor; and the processor is integrated on the control component of the environmental device or connected with the control component for data communication.

[0022] In some embodiments, the sensor system further comprises an activation mechanism that controls operational states of the radar sensor's; wherein the activation mechanism is configured on the processor of the sensor system or on the control component of the environmental device; the activation mechanism controls the sensor's operational state in two main modes:

[0023] a continuous connection and active mode, wherein the sensor is continuously connected and active when there is at least one person in the room, in this mode, the sensor system is fully operational, continuously monitoring and collecting data; or

[0024] a low-power sensing mode, wherein when there is no one in the room, the sensor switches to a low-power sensing mode, in this mode, sensor's power consumption is reduced to a minimum to conserve energy.

[0025] In some embodiments, the sensor system further comprises a Radar on Chip (ROC) for precisely detecting data including movements and presence of the objects and processing the detected data and extracting valuable information reflecting on locations and motions of the objects.

[0026] In some embodiments, the sensor system is powered from the elevated indoor appliance 's power source as a primary power source, and further have a battery power source as a backup power source; and a Comms Power Control (CPC) unit is set in the sensor system to manage the communication means, ensuring that data and alerts are communicated efficiently and managing power resources to optimize transmission.

[0027] In some embodiments, the sensor system further comprises a cloud device and / or a local edge device, which offers flexibility in data management, allows data to be processed and stored either in a local edge device or in the cloud.

[0028] In some embodiments, the sensor system further comprises a humidity sensor for measuring a humidity data in the room where the sensor system is deployed; wherein the humidity sensor is capable of continuously monitoring and recording the humidity data in the room and transmitting the humidity data to the processor; the sensor system further comprises a temperature sensor for measuring an ambient temperature data in the room where the sensor system is deployed, and the temperature sensor is capable of continuously monitoring and recording the temperature data in the room and transmitting the temperature data to the processor; the sensor system further comprises a light sensor for measuring intensity of ambient light and transmitting light intensity to the processor.

[0029] In some embodiments, the sensor system further comprises a radar radome which is designed to encase the radar sensor; the radar radome serves as a protective and aesthetic cover for the radar sensor and is seamlessly integrated into the elevated indoor appliance's design without adversely affecting the established configuration.

[0030] In some embodiments, wherein the processor further comprises an algorithmic module for analyzing the physical states to assess a sleep quality and levels of restlessness, and for providing data-driven recommendations for optimal sleep and comfort settings, including adjustments to the environmental device, based on the individual's physical state and sleep stage.

[0031] In some embodiments, the sensor system is configured to simultaneously monitor and collect data from multiple individuals, including couples, in the same room.

[0032] In some embodiments, the processor further comprises an analytics module that conducts real-time analysis to identify and optimize a working point, ensuring personalized adjustments of the environmental device to accommodate combined sleep quality and comfort preferences of the individuals.

[0033] A sleeping space provided by the present invention, is configured therein with: a sensor system of any embodiments described above; the elevated indoor appliance; and the environmental device; wherein the elevated indoor appliance and the environmental device are the same device or two independent devices.

[0034] A method for optimizing sleep quality and comfort in a shared sleeping space, the method comprising steps of: simultaneously monitoring and collecting data from multiple individuals in the shared sleeping space, using the sensor system any embodiments described above; analyzing the collected data in real-time to determine an optimal "working point," which includes personalized adjustments of the environmental device; and, customizing the environmental device to accommodate combined sleep quality and comfort preferences of the monitored individuals, thereby enhancing sleep experience for everyone in the shared sleeping space.

[0035] In some embodiments, the method further comprises a step of transmitting the collected data to an external monitoring application or service, enabling remote access and control of environmental device settings.

[0036] In some embodiments, the collected data is processed to provide recommendations for improving sleep quality and comfort for the monitored individuals, based on historical sleep patterns and preferences.Advantageous Effects

[0037] The current invention recognizes these challenges and seeks to address them by integrating radar sensor technology in a unique way. By monitoring and analyzing these critical sleep indicators, the invention aims to provide individuals with a comprehensive understanding of their sleep quality. This insight can be invaluable for making informed decisions about lifestyle, health, and overall well-being. Additionally, the technology may offer the potential for early detection of underlying health issues, further enhancing its significance in the field of personalized healthcare.

[0038] This invention addresses the intricate and multifaceted nature of sleep quality assessment, recognizing that numerous factors contribute to the overall experience of a good night's sleep. It combines advanced sensing, processing, and communication capabilities to detect, classify, and quantify multiple key indicators of sleep quality. These indicators encompass the duration of sleep, the total time of falling asleep, the efficiency of sleep while in bed, night-time awakenings, the distribution of sleep stages, restlessness, snoring, breathing patterns, heart rate and irregularities, room temperature's impact, and movement disorders.

[0039] By collecting and analyzing this extensive array of sleep data using radar sensor and Artificial Intelligence (AI) processing, the invention empowers individuals to take informed steps towards improving their health, identifying sleep disorders, managing stress, enhancing performance, and contributing to advancements in personalized healthcare, all while potentially detecting underlying health conditions at an early stage. This technology significantly elevates the quality of sleep monitoring, with its integration into everyday household appliances presenting an innovative approach to tracking and enhancing sleep quality.

[0040] In summary, monitoring sleep in bed is a critical practice that empowers individuals to take charge of their well-being. By detecting early signs of health issues and sleep disorders, managing stress, optimizing performance, and contributing to advancements in sleep medicine and personalized healthcare, it offers a comprehensive approach to health management. Additionally, the invention not only aids in addressing underlying health problems but also provides individuals with the knowledge needed to make informed decisions about their sleep habits and overall health, ultimately enhancing their overall quality of life.

[0041] The summary of the invention does not necessarily disclose all the features essential for defining the invention. The invention may reside in a sub-combination of the disclosed features. The various combinations and sub-combination are fully described in the detailed description.Description of Drawings

[0042] The accompanying drawings are included to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0043] The diagrams are for illustration only, which thus is not a limitation of the present disclosure, and wherein:

[0044] FIG. 1 illustrates an example of the working of a sleep monitoring system, in accordance with a preferred embodiment of the invention.

[0045] FIG. 2 illustrates another example of working for the sleep monitoring system, in accordance with a preferred embodiment of the invention.

[0046] FIG. 3 illustrates an example of an architecture that involves integrating sensors into a ceiling fan to monitor the quality of sleep, in accordance with a preferred embodiment of the invention.

[0047] FIG. 4 illustrates a system architecture for monitoring and enhancing indoor environments, in accordance with a preferred embodiment of the invention.

[0048] FIG. 5 illustrates a flowchart for monitoring and enhancing indoor environments, in accordance with a preferred embodiment of the invention.Mode for Invention

[0049] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.

[0050] Recognizing the need for a technological solution that can capture nuanced sleep quality indicators for individuals in bed, this invention introduces a strategically placed sensor setup. Whether installed on the ceiling, high on the wall, or other optimal "look-down" locations, this setup is capable of meticulously monitoring movements and discerning various human physical cues and patterns. The integration of a sensor that detects movements and other physical attributes of individuals during sleep enables the collection and analysis of data crucial to assessing sleep quality and overall health. By continually analyzing this data, individuals can access a wealth of insights, scores, trends, and pinpointed factors, allowing for an improved quality of life, enhanced functionality, and increased safety. Furthermore, the integration of this sensor into high-mounted home appliances, like ceiling fans, ensures optimal coverage, sensitive detection, and precise data collection, revolutionizing the way we monitor and improve our sleep.

[0051] The system may be integrated into other similar indoor electronic devices, including lighting fixtures, lighting bulbs, mirrors, and air conditioning units with full functionality. The system may be integrated into a standalone radar device with full functionality. The radar module or Radar on-chip on any of the indoor electronic appliances will provide the similar functionality. This provides the invention compatibility with the existing electronic or electrical appliances.

[0052] The novelty of the invention lies in integrating radar sensors into a ceiling fan or a similar overhead fixture. This placement is strategic, as it allows for optimal data collection in a location where a person spends a significant portion of their time while sleeping. The system can collect real-time data reflecting and indicating the quality of sleep. This data can then be used to control various environmental devices, such as the ceiling fan speed or other climate control systems, to enhance the room's atmosphere and improve an individual's well-being, especially when they are restless and struggling to return to sleep. This can be of significant benefit in healthcare settings, at home or senior lodgings, where continuous monitoring of patients and seniors is essential. This is particularly crucial in settings like hospitals, rehabilitation centers, and senior citizen homes and private residencies.

[0053] In an embodiment, the current invention introduces an extremely sensitive radar sensor system that can be incorporated into different configurations, such as a ceiling fan, and / or in an overhead lighting fixture. These radar sensors are strategically positioned above a bed, whether it is for adults, children, or even infants in cribs. The primary purpose of this system is to provide comprehensive monitoring of individuals during various states, including sleep, attempts to return to sleep, or when they are in or around the bed area. The system is designed to categorize and analyze a wide spectrum of physical movements and behaviors that individuals exhibit during sleeping or struggling to sleep. This data can provide valuable insights into an individual's sleep patterns and disturbances. This is particularly important in healthcare and caregiving contexts. The innovation can detect critical events, such as:

[0054] a) Unusual Restlessness or Agitation: The system can identify patterns of increased movement or restlessness during sleep, potentially indicating discomfort or sleep disturbances. This information could be valuable for healthcare professionals and caregivers in assessing the overall sleep quality and comfort of individuals.

[0055] b) Irregular Sleep-Wake Patterns: By monitoring the times when an individual leaves or returns to the bed area, the system can help identify irregular sleep-wake patterns. This information is crucial for understanding circadian rhythms and may be useful in diagnosing sleep disorders or disruptions.

[0056] c) Bedtime Routine Monitoring: The system can track specific behaviors associated with bedtime routines, such as reading or watching television before sleep. Analyzing these routines over time can provide insights into pre-sleep activities and their impact on sleep quality.

[0057] d) Nighttime Wanderings: For individuals prone to wandering during the night, such as those with sleepwalking tendencies or certain medical conditions, the system can detect instances of leaving the bed area and generate alerts. This enhances safety and allows for timely intervention.

[0058] e) Sleep Interruptions and Fragmented Sleep: The system can recognize instances where an individual attempts to return to sleep after waking up during the night. Monitoring these interruptions and the effectiveness of returning to sleep contributes to a better understanding of sleep continuity and potential disruptions.

[0059] f) Breathing Irregularities: A comprehensive monitoring system could potentially incorporate sensors to detect breathing irregularities during sleep. This could be especially relevant in healthcare settings, helping identify symptoms of sleep apnea or other respiratory conditions.

[0060] g) Ambient Environment Impact: The system can analyze how external factors, such as changes in room temperature or ambient light, correlate with sleep patterns. This information can be valuable for optimizing the sleep environment and improving overall sleep quality.

[0061] In essence, this innovative system is a versatile and highly detailed sensor technology that monitors individuals of all age groups in and around their sleeping spaces.

[0062] The system described in the invention is a multifaceted sensor-based system designed to improve the quality of sleep, comfort, and safety for individuals. The sensor-based system consists of a radar sensor integrated into a ceiling fan, which is capable of detecting and categorizing the posture, movements, sleep state, and agitation levels of people in a room. Advanced data processing algorithms or AI based algorithms analyze radar data to identify distinct objects and classify them into categories like 'grown-ups,' 'toddlers,' 'babies,' and 'others.' Additionally, the system assesses their physical state, including sleep patterns and movement. This information is communicated to a ceiling fan controller, allowing for the adjustments to the fan's speed and airflow to promote a return to a calm and deep sleep state. Furthermore, the system's data sharing capabilities extend to third-party devices, enabling a wide range of service applications and intelligence.

[0063] The architecture of the innovative sensor system for health monitoring and event detection is composed of various components and modules. The below provides details regarding the same.

[0064] Sensor Components: The sensor system includes a variety of components, each serving specific functions to ensure comprehensive surveillance and monitoring of individuals. The sensor components are integral to the invention's ability to monitor individuals sleep in and around the bed area. They cover a broad spectrum of data collection, including passive millimeter wave radiation detection, and active millimeter wave radar technology. These sensors are not only capable of detecting the presence of individuals but also provide detailed insights into their movements, behaviors, and actions, making the system highly effective in its surveillance and monitoring capabilities. Additionally, the integration of other sensors and technologies further enhances the system's capabilities for comprehensive data collection and analysis. The sensor system typically comprises the following components:

[0065] Passive Millimeter Wave Sensor: This sensor operates by detecting radiation in the millimeter wave band. Passive millimeter wave sensors are frequently used for imaging and sensing purposes. In this context, they can provide valuable insights into the physical presence and movements of individuals, enhancing the system's overall monitoring capabilities.

[0066] Temperature and Humidity Sensors: Humidity sensors can gauge the moisture levels and temperature in the air, providing insights into the overall comfort of the sleep environment.

[0067] Light Sensors: Light sensors can measure the intensity of ambient light, helping to assess the impact of light on sleep quality. This can be particularly relevant for individuals sensitive to light during sleep.

[0068] Active Millimeter Wave Sensor (Radar on Chip - ROC): The "Radar on Chip" (ROC) may comprise a single or an array of ROCs, representing a sophisticated radar technology. Active millimeter wave sensors, such as ROCs, are essential for achieving highly precise movement and presence detection. These sensors emit millimeter wave signals and analyze the reflected signals to determine the location, movement, and presence of objects or individuals in the monitored area. They are capable of providing detailed information about the behavior and actions of individuals. Further, adding a plurality of radars, such as a dual radar system for a couple, is an excellent enhancement to the sensor system described in the invention, without limiting the embodiment of a single radar to manage a couple in bed. With multiple radars, the system can achieve a higher level of precision in detecting and tracking the movements and behaviors of individuals.

[0069] In the case of a couple sharing a bed, the radar system (whether single or multiple) can differentiate between the movements of each individual. This allows for personalized monitoring and data collection, which can be crucial for assessing the health and sleep quality of each person independently. Such radar embodiments can work to cross-verify detected events, reducing the likelihood of false alarms. Each radar unit can focus on a specific area or individual, allowing for detailed tracking and analysis. This level of granularity enhances the system's capacity for personalized monitoring, ensuring that the unique health and sleep patterns of each individual are accurately captured. Moreover, the use of multiple radars enables the cross-verification of detected events. This redundancy not only reduces the likelihood of false alarms but also increases the overall reliability of the monitoring system. The invention allows for the incorporation of various other sensors and technologies that contribute to comprehensive surveillance and monitoring. These additional sensors are also equipped with processing and communication capabilities, enhancing the system's ability to collect, process, and transmit data effectively.

[0070] The sensor module is integrated into a ceiling fan or a similar device, which is positioned above the bed. This module's primary function is to detect human presence, physical cues, sleep patterns, behavior, and movements in and around the bed area. The sensor integration, as described in the invention, is a crucial aspect of the system's architecture. It involves the incorporation of a sensor module within various configurations, and this integration plays a central role in the system's functionality. The core feature of the invention is the integration of a sensor module into different types of devices. This integration can take various forms:

[0071] The sensor module serves several primary functions, contributing to the comprehensive surveillance and monitoring of individuals: The sensor module is designed to detect the presence of individuals in and around the bed area. This is essential for understanding occupancy and movement. It can capture physical cues such as body movements, postures, and behaviors. This data is valuable for analyzing sleep patterns and assessing the well-being of individuals. The sensor module is equipped to monitor sleep patterns. It can identify sleep disturbances, restlessness, and sleep quality, providing valuable insights for improving sleep environments. The sensor module is capable of analyzing and categorizing human behavior. This includes activities like getting out of bed, standing, walking, and other actions that may indicate a change in an individual's status.

[0072] The invention may incorporate a temperature sensor, which is typically positioned outside the sensor housing. The primary purpose of this sensor is to measure the ambient temperature in the room where the system is deployed. The temperature sensor continuously monitors and records the temperature in the room. This data provides valuable information about the environmental conditions in the monitored space.

[0073] The invention may incorporate a humidity sensor, which is typically positioned outside the sensor housing. The primary purpose of this sensor is to measure the humidity in the room where the system is deployed. The humidity sensor continuously monitors and records the humidity in the room. This data provides valuable information about the environmental conditions in the monitored space.

[0074] Environmental Data: The temperature and humidity readings from the sensors offer insights into the room's comfort and climate. They can detect changes in temperature and humidity, including fluctuations in heating, cooling, levels of air comfort or other ambient states.

[0075] The ambient temperature and humidity can have a significant impact on an individual's sleep quality and comfort. By measuring the room's temperature and humidity, the system can assess how temperature and humidity variations may be affecting the occupants' sleep patterns and well-being.

[0076] The system is powered from the appliance's power source, but it can also have a battery power source for backup if necessary. The sensor operates in a low-power sensing mode when there is no one in the bed or cot and switches to full functionality based on motion detection or occupancy triggers. The system's power management strategy involves two primary options:

[0077] a) Appliance Power Source: The system is primarily designed to be powered from the appliance power source. In this configuration, it draws its electrical power from the same source that powers the appliance it is integrated with, such as the ceiling fan or similar device.

[0078] b) Battery Power Source: Additionally, the system can also incorporate a battery power source, which is used as a backup or alternative power supply. This battery can provide power to the system when needed.

[0079] The primary power source, which is typically the appliance power source, ensures continuous operation of the system. This is crucial for maintaining uninterrupted monitoring and surveillance. By having a backup battery power source, the system gains an extra layer of reliability. In the event of power outages or issues with the primary power source, the system can switch to the battery, ensuring that monitoring and event detection functions remain operational.

[0080] The battery power source serves as a failsafe mechanism. It can sustain the system's operation in situations where access to the primary power source is disrupted, such as during electrical outages. In healthcare and senior care settings, where the system is vital for the well-being of individuals, the availability of a battery power source is essential for ensuring the safety of occupants. In settings where energy efficiency is a priority, such as hotels or residential spaces, the system can switch to battery power during peak energy usage hours to reduce the load on the main power source.

[0081] The activation system described in the invention plays a crucial role in managing power consumption and ensuring that the system operates efficiently. Here is a detailed explanation of how the activation system works:

[0082] In an embodiment, the system features an activation mechanism that controls the sensor's operational state. This mechanism operates in two main modes:

[0083] a) Continuous Connection and Active Mode: The sensor is continuously connected and active when there is at least one person in bed or the cot. In this mode, the system is fully operational, continuously monitoring and collecting data.

[0084] b) Low-Power Sensing Mode: When there is no one in bed or the cot, the sensor switches to a low-power sensing mode. In this state, the sensor's power consumption is reduced to a minimum to conserve energy.

[0085] By transitioning to a low-power sensing mode when no one is in bed, the system optimizes power usage. This is important for energy efficiency and prolonging the life of the system's power source, whether it is the appliance power source or a battery. The system employs a motion detection or occupancy detection trigger to power up to full functionality. This means that when an individual enters the bed or the cot, the sensor quickly activates and begins monitoring. This ensures that data collection is initiated when it is most relevant. The system is designed to focus its full functionality on times when individuals are present in the bed or cot. This targeted operation allows for efficient data collection and event detection when it matters most. The automatic activation and deactivation based on occupancy improve the user experience. Users do not need to manually control the system, as it adapts to their presence and activity. By reducing power consumption during periods of inactivity, the system conserves resources and contributes to a more sustainable and cost-effective operation.

[0086] The occupancy nature of the radar enables switch the ceiling fan off when no one is present in the room, thus conserving energy and extending the ceiling fan life.

[0087] In one aspect of the invention, the operation of the sensor system, once activated, involves a wide range of functionalities designed to comprehensively monitor and detect various aspects related to individuals in and around the bed area. The below provides a detailed explanation of the system's operations:

[0088] The sensor system is capable of identifying and tracking individuals in the monitored area, whether it is a single person, a couple, or multiple individuals.

[0089] The system monitors and analyzes the posture and movements of the detected targets, determining their precise location and center of gravity. This information is valuable for understanding an individual's position and actions.

[0090] The system categorizes detected targets into different groups, including adults, toddlers, babies, and potentially other categories. This classification is essential for differentiating between individuals with varying health and safety needs.

[0091] The system analyzes the posture, posture transitions, movements, and levels of restlessness of individuals. This information provides insights into sleep patterns and sleep quality.

[0092] Identifying when a person is standing is important for assessing mobility and activity levels. The system can also detect walking, which is significant for understanding an individual's movements, level of mobility and direction.

[0093] The sensor system's operation is designed to provide a comprehensive set of monitoring and detection capabilities, covering everything from identifying individuals to classifying them based on age and behavior. The system's ability to monitor movements and postures contributes to enhanced health and safety, making it particularly valuable in healthcare and senior care settings. Additionally, the system's ability to generate alerts based on specific events ensures the timely response to critical situations.

[0094] In another embodiment, the system incorporates a Radar-On-Chip (ROC) sensor module, referred to as the "radar module." This radar module is integrated into the ceiling fan or another device, enhancing the system's functionality. The integration can take one of two forms:

[0095] In this configuration, the ROC sensor module is an integral and built-in part of the electronic design of the device. This means that it is seamlessly incorporated during the manufacturing process and becomes an inherent feature of the device.

[0096] Alternatively, the ROC sensor module can be an independent unit that is connected to the device. This configuration allows for flexibility in installation and positioning, as the radar module can be attached to the device or placed nearby to optimize monitoring coverage.

[0097] The ROC sensor module is essential for highly accurate movement and presence detection. It emits millimeter wave signals and analyzes the reflections, providing detailed information about the posture, level of restlessness, location, and movements of individuals. The integration of radar technology significantly enhances the system's monitoring capabilities. It can detect even subtle movements and changes in the monitored area. The radar module contributes to occupancy detection and tracking. This is particularly valuable for understanding the presence and activities of individuals in the bed area. The radar module can adapt to different room layouts and configurations, as it offers flexibility in installation. Whether intrinsic or independent, it can optimize the system's coverage to suit various monitoring scenarios.

[0098] The radar module radome integration is a significant design feature of the system, allowing the seamless incorporation of radar technology without compromising the aesthetics or functionality of the ceiling fan or similar devices. The system includes an ornamental radome, which is designed to encase the radar module. This radome serves as a protective and aesthetic cover for the radar technology. It can be seamlessly integrated into the device's design without adversely affecting the established configuration. The radome can be incorporated alongside existing components, such as a light fixture cover, plastic enclosure, or similar designs, without any detrimental impact. The ornamental radome serves to protect the radar module from physical damage, dust, and other environmental factors. This protection ensures the longevity and reliability of the radar technology. The radome is designed to blend harmoniously with the overall design of the ceiling fan or similar device. It can be customized to match the device's appearance, maintaining a cohesive and pleasing aesthetic. The integration process is designed to be straightforward, ensuring that the radome can be added without the need for major modifications or disruptions to the device's configuration. This minimizes installation complexity and associated costs. By seamlessly integrating the ornamental radome, the system provides an improved user experience. Users are not only benefiting from advanced radar technology but also enjoying an unobtrusive and attractive design. The ornamental radome can be adapted to different device designs and configurations. It accommodates various forms and styles, making it versatile for use in different settings and applications.

[0099] The installation and operation of the system is designed to be user-friendly and non-disruptive. The crucial role of the radome is to provide protection for the radar module. It acts as a protective shell that encases the radar technology, shielding it from physical damage, dust, and other environmental factors. This protective function ensures the longevity and reliability of the radar module. Despite its protective role, the radome is transparent to radar signals, allowing radar waves to pass through without distortion or interference. This radar transparency is essential to maintain the radar module's functionality. The system can continue to detect movements, presence, and other data accurately while being enclosed within the radome. The radome is customizable to match the specific design and aesthetics of the ceiling fan or similar device. It can be tailored to align with the device's appearance, ensuring a cohesive and pleasing look. This customization adds a layer of versatility, allowing the system to be adapted to various room styles and preferences. Importantly, the installation of the radar transparent cover (radome) does not disrupt the existing device configuration. It can be seamlessly added without major modifications, reducing installation complexity and associated costs. Users can enjoy the benefits of advanced radar technology without invasive changes to their room setup. The combination of radar technology and the radar transparent cover (radome) offers an enhanced user experience. Users not only benefit from advanced monitoring and detection capabilities but also enjoy an unobtrusive and attractive design that blends seamlessly with the device.

[0100] The system employs a flexible data communication system for managing sensor data. This system is designed to accommodate various scenarios and user preferences. By default, sensor data is typically processed locally or can be processed on the cloud using edge computing. This means that the data collected by the sensors is analyzed and acted upon within the system or the device itself. Local processing ensures real-time responsiveness and can be crucial in situations where immediate action is needed. In addition to local processing, the system can also communicate with edge devices. Edge devices are intermediate computing devices located closer to the source of data (the sensor system). These edge devices can further process and analyze data, offering more computing power and potentially reduced latency compared to cloud-based solutions. The system is also capable of transmitting sensor data to cloud services. This cloud-based communication enables remote monitoring, data storage, and advanced analytics. Cloud services offer the advantage of accessibility from anywhere with an internet connection. The system can connect to data networks using both wired and wireless methods. Wired connections might include Ethernet, while wireless networks can encompass Wi-Fi, Bluetooth, or 4 / 5G connections. The choice of network connection depends on the specific application and user preferences. The system is equipped with full-duplex communication capabilities, allowing bidirectional data transfer.

[0101] The system's data communication capabilities offer a multifaceted approach to data management. Local data processing guarantees immediate responses to critical events, while data redundancy and storage are provided through connections to edge devices and cloud services, ensuring that historical data is available for analysis. Cloud service integration allows remote monitoring and access, making it possible for users to stay informed about individual well-being and environmental conditions from anywhere with internet access. Furthermore, the collected data can undergo advanced analytics in the cloud, uncovering valuable insights into long-term trends and patterns. The system's versatility extends to its ability to connect through a variety of wired and wireless networks, alongside full-duplex communication, ensuring compatibility with diverse devices and data transfer methods.

[0102] The system is equipped with an alert communication mechanism that enables it to send timely notifications to an external application or service. These alerts are crucial for ensuring the safety, well-being, and healthcare management of individuals. The alert communication system plays a pivotal role in achieving rapid responses to critical events, ensuring that individuals receive timely assistance when necessary. In healthcare and senior care settings, the alert communication system serves as a fundamental tool, leading to the enhancement of patient care, safety, and overall well-being.

[0103] In this enhanced configuration, the apparatus includes an algorithmic module integrated into the data acquisition and processing unit. This module adds a layer of intelligence to the system by thoroughly analyzing the detected physical parameters, providing insights into sleep quality and levels of restlessness in individuals. Furthermore, it offers personalized recommendations for optimizing the sleep environment, which can include specific adjustments to the ceiling fan's speed and airflow direction, ensuring that the system not only monitors but actively contributes to enhancing the overall sleep experience.

[0104] FIG. 1 illustrates an example of the working of a health monitoring system (100), in accordance with a preferred embodiment of the invention. In this system, a person (101) within a room is subject to continuous monitoring through the use of a radar module installed within a ceiling fan (102). The ceiling fan control unit (103) serves as the central interface for communication with the radar module. This communication allows for the gathering of comprehensive data related to the person's presence and movements. The collected data is then processed and can be utilized for various applications, including assessing sleep quality, and implementing measures. The integration of the radar module within the ceiling fan ensures an unobtrusive and efficient method for monitoring individuals and enhancing their well-being.

[0105] The sensor system described is designed to comprehensively monitor and enhance the sleep quality, comfort, health, and safety of individuals. It incorporates a radar sensor integrated into a ceiling fan or a similar device, strategically positioned to detect and categorize sleep states, postures, and agitation levels within a room. A data processing component is employed to analyze radar surveillance data, converting it into distinct objects and algorithmically categorizing them into groups such as 'grown-ups,' 'toddlers,' 'babies,' and 'others.' This categorization facilitates personalized monitoring. The system communicates acquired sensor data and processed output to a ceiling fan controller, enabling the activation of adjustments in fan speed and airflow direction. This adjustment is aimed at promoting a return to a calm and deep sleep state for individuals. Additionally, the system facilitates Ambient Intelligence through data exchange with third-party devices, providing opportunities for additional service applications. The inclusion of a module to determine events related to individuals adds a layer of versatility, although the specifics of this module are not explicitly defined. In a related apparatus for monitoring and regulating a ceiling fan, a detector captures physical human parameters associated with sleep quality.

[0106] A data acquisition and processing unit monitors and logs sleep quality. The control component modulates the ceiling fan's speed, primarily focusing on facilitating a return to restful sleep for awakened individuals. The apparatus is configured to simultaneously monitor and collect data from multiple individuals, including couples, in the same room. An analytics module conducts real-time analysis to identify and optimize the working point, ensuring personalized adjustments of the ceiling fan's speed and airflow direction based on the combined sleep quality and comfort preferences of the monitored individuals. This approach underscores the system's adaptability to diverse scenarios and its capacity to provide personalized comfort settings for optimal sleep condition.

[0107] FIG. 2 illustrates another example of working for the sleep monitoring system (200), in accordance with a preferred embodiment of the invention. The system monitors individuals, whether adults, children, or infants, positioned in or around a bed or cot. The described innovative system incorporates advanced sensors and radar technology into a conventional ceiling fan (201), or similar devices positioned above a bed or cot. The transformation enhances the ceiling fan's functionality to provide comprehensive monitoring and control features, particularly for individuals positioned in or around the bed. A radar sensor module is integrated into the ceiling fan, allowing communication resulting in enhanced monitoring and control capabilities using transmitted and received radar waves or echoes (202, 204). This radar module detects the presence and movements of individuals in the vicinity, enabling the ceiling fan to adjust its operation based on occupancy, such as modifying its speed or turning on or off in response to human presence (203). Real-time analysis is then used to identify deviations from these normal patterns. If the system detects unusual postures or movements that deviate from the expected norm, it may interpret these as potential distress situations. By incorporating this real-time analysis of posture and movement, the monitoring system can enhance its ability to differentiate between routine activities and situations that might require special attention or intervention, contributing to a more accurate and context-aware monitoring process.

[0108] FIG. 3 illustrates an example of a system architecture (300) involving integrating sensors into a ceiling fan to monitor the quality of sleep, in accordance with a preferred embodiment of the invention. The various components are as mentioned below:

[0109] Temperature Sensors (302a): Temperature sensors can monitor the ambient temperature in the room, contributing to the regulation of the sleep environment. Maintaining an optimal temperature is crucial for quality sleep.

[0110] Humidity Sensors (302b): Humidity sensors can gauge the moisture levels in the air, providing insights into the overall comfort of the sleep environment.

[0111] Light Sensors (302c): Light sensors can measure the intensity of ambient light, helping to assess the impact of light on sleep quality. This can be particularly relevant for individuals sensitive to light during sleep.

[0112] Microcontroller or Processor (304): A central processing unit can gather data from sensors, process information, and execute commands based on predefined algorithms or user preferences.

[0113] Alarm or Alert System (312): An alert system could notify users of specific events detected during sleep, such as unusual restlessness or significant changes in the sleep environment.

[0114] Communication Module (306): This module enables the fan to communicate with other devices, such as smartphones or smart home systems. It could also facilitate data transfer for analysis or remote monitoring.

[0115] Fan Control Mechanism (308): The fan itself would have a control system that adjusts its speed, direction, or other parameters based on the data collected from sensors. For example, it might increase airflow if the room temperature rises.

[0116] Power Supply (310): A power supply is necessary to operate the fan and sensors. Depending on the design, this could involve a connection to the electrical grid or a built-in battery.

[0117] FIG. 4 illustrates a system architecture (400) for monitoring and enhancing indoor environments, in accordance with a preferred embodiment of the invention. The architecture outlined comprises various components and their functions, creating a comprehensive system for monitoring and enhancing indoor environments. The details of each of these components are mentioned below:

[0118] Radar Module (410): This module is responsible for radar-based detection. It emits radar signals and captures their reflections to detect and track the presence and movements of individuals within the monitored area.

[0119] Radar on Chip ROC (420): This component is a specialized radar technology known as Radar on Chip (ROC). It plays a critical role in precise movement detection and presence sensing. The ROC processes radar data and extracts valuable information reflecting on the location and motion of objects in its coverage area.

[0120] AI Processor (430): The AI (Artificial Intelligence) processor is a central component for data analysis. It processes the data collected by the radar module and ROC to classify and understand the behavior and state of individuals. It can determine sleep quality, restlessness, and more using AI algorithms.

[0121] Event Recording (440): This function records the events and data generated by the system. It can maintain a log of sleep quality and other significant events. Event recording is valuable for future reference, analysis, and improving the system's performance.

[0122] Comms Power Control (CPC) (460): CPC manages the communication aspect of the system. It ensures that data and alerts are communicated efficiently and manages the power resources to optimize transmission.

[0123] Antenna on Board (450): An onboard antenna can be an optional feature, enhancing the system's communication capabilities. It can provide improved signal transmission and reception.

[0124] Ceiling Fan Control (470): The Ceiling Fan Control function manages the operation of the ceiling fan. It adjusts the fan's speed and direction based on the data and events detected by the system. For example, it can increase the fan speed to create a soothing environment for an awakened individual.

[0125] Mobile Device Application (480): This component represents the user interface for interacting with the system. A mobile device application allows users to monitor the system's data, receive alerts, and make adjustments to the settings. It provides a convenient way for caregivers or individuals to stay informed and control the system.

[0126] Cloud / Local Edge Device (490): This component offers flexibility in data management. It allows data to be processed and stored either in a local edge device or in the cloud. Local edge processing provides real-time monitoring and immediate action, while cloud storage offers long-term data analysis and accessibility from remote locations.

[0127] Further, Ceiling Fan Control (CFC) manages the communication aspects of the system, ensuring that data and alerts are transmitted efficiently. It may dictate the operation of the CFC based on the data it receives. For example, if CFC detects an individual awakening or experiencing restlessness, it might instruct CPC to adjust the ceiling fan's speed to create a soothing environment and assist in returning the individual to deep sleep. In one scenario, CPC is responsible for supplying power to CFC. This power supply ensures that CFC can operate effectively, manage communication, and transmit data as needed. CFC plays a role in ensuring that the communication system remains active. In summary, CFC influences the operation of CPC to optimize the indoor environment based on monitored data. At the same time, CPC provides power support to CFC to ensure its functionality in managing communications and data transmission. This bidirectional relationship enables coordinated and effective operation of the system.

[0128] FIG. 5 illustrates a flowchart (500) for monitoring and enhancing indoor environments, in accordance with a preferred embodiment of the invention. The flowchart outlines the sequence of operations in a system designed for monitoring and enhancing the indoor environment. The below provides details of each step being involved:

[0129] At Step 510, Sensor Detection: This stage represents the initial step in the process. Sensors, which may include radar or other technologies, detect the presence of individuals in the monitored area. The sensors collect data about their movement, location, and behavior.

[0130] At Step 520, Quality of Sleep: Based on the data collected in the previous step, the system analyzes the sleep quality of the individuals. It can determine whether they are in a restful state, experiencing restlessness, or showing signs of agitation. This information helps in understanding the sleep patterns and comfort levels of the occupants.

[0131] At Step 530, Delay by d sec: This step introduces a delay by a certain number of seconds, which can be a user-defined parameter. This delay can be used to account for brief, expected interruptions in monitoring, ensuring that events are not prematurely triggered.

[0132] At Step 540, Record Events (Option): Optionally, the system can record the detected events. This may include creating a log of sleep patterns and other events for future reference or analysis.

[0133] At Step 550, - Communicate Events: The system communicates the detected events and data to an external application or service. This communication is   for providing real-time alerts and enabling remote monitoring by healthcare professionals or caregivers.

[0134] At Step 560, Adjust Fan Speed Logic: In response to the monitored data and events, the system can adjust the speed and direction of a ceiling fan or other environmental control devices. This adjustment aims to create a more comfortable and conducive indoor environment for the individuals. For example, the fan speed may be increased to soothe an awakened individual and aid their return to deep sleep.

[0135] At Step 570, Optional Temp Sensor Input: This step involves considering temperature data collected by optional temperature sensors. The temperature in the room can impact an individual's sleep quality and comfort. Therefore, this data can be used to further optimize the environmental conditions, such as adjusting the thermostat or fan settings.

[0136] In an embodiment, a flowchart for the application of the present invention that involves a series of steps aimed at detecting, analyzing, and communicating the sleep state, posture, and agitation or restlessness levels of individuals, including babies in a room. Below is a detailed explanation of each step in the process:

[0137] Radar Sensor Detection: The process begins with radar sensors integrated into a ceiling fan, capable of detecting and monitoring the activities of individuals, such as adults, toddlers, and babies in bed or cots. The radar sensors capture data related to movements, presence, and behaviors.

[0138] Radar Surveillance Data Processing: The data collected by the radar sensors, often in the form of a point cloud, is processed to identify and isolate distinct objects or "targets." These targets represent individuals in the monitored space.

[0139] Algorithmic Classification of Targets: An algorithm is employed to classify these targets into different categories, including "grown-ups," "toddlers," "babies," and "others." This categorization is based on factors such as size and movement patterns.

[0140] Algorithmic Classification of Human Targets: Further algorithms are applied to analyze and label the physical state and behavior of these human targets. This includes determining their level of sleep, calmness, agitation, restlessness, posture, and movement. The system assesses the comfort and well-being of the individuals.

[0141] Communication to Ceiling Fan Controller: The acquired sensor data and processed output, including control signals and information about the state of the individuals, are communicated to the ceiling fan controller. This communication is a key part of the system's feedback loop.

[0142] Activation of ambient control Measures: Based on the data received, the system responds to provide comfort to awakened individuals (grown-ups or toddlers) or babies and adjusts the ceiling fan's speed and airflow direction to create a comfortable environment conducive to deep sleep.

[0143] Ambient Intelligence enabler: The system leverages Ambient Intelligence by sharing sensor data and processed information with other third-party devices. This enables the integration of additional service applications, enhancing the functionality of continuous running radar modules with uninterrupted power feeds.

[0144] In an embodiment, the process of detecting and classifying individuals within the described system encompasses a comprehensive set of functions within a digitized detection and classification framework. This process involves several key steps:

[0145] Detection and 4D Radar Point Cloud Generation: It initiates with the detection of radar returns, resulting in the creation of a 4D "radar point cloud." This cloud represents a complete detection of all physical surfaces within the radar's coverage area. Each detected point is precisely located in three-dimensional space (x, y, z) and assigned a radial velocity, which includes stationary points (radial velocity "0") relative to the radar module's position.

[0146] Grouping and Center of Gravity Calculation: The next step involves grouping the detected radar points into separate objects, including individuals, babies, pets, and other targets. This grouping process generates a center of gravity for each group, along with their respective locations (x, y, z) and radial velocities in relation to the radar module's position.

[0147] Classification of Grouped Radar Returns: The system then classifies these grouped radar returns, referred to as "targets," into categories such as persons, babies, or other specified classes like pets or wheelchairs. Each group of radar returns is individually identified as a "target."

[0148] Continuous Motion Monitoring and Posture Classification: Human targets, including adults in a bed, children or toddlers in a bed, and babies in a cot, are subject to continuous monitoring. Changes in their posture, movements, and behavior are observed and classified. This classification can include identifying states such as restful sleep, restlessness, agitation, awakening, getting out of bed, walking away from the bed, or approaching a door, among others.

[0149] Continuous Physical State Classification: Throughout this entire process, the system continuously classifies the physical state of all detected human targets. This classification involves assessing factors such as posture, level of mobility, depth of sleep, and predefined states, often employing artificial intelligence algorithms to make these determinations.

[0150] While the subject invention is described and illustrated with respect to certain preferred and alternative embodiments, it should be understood that various modifications can be made to those embodiments without departing from the subject invention, the scope of which is defined in the following claims.

Claims

1. A sensor system for monitoring and optimizing sleep quality, comfort, health, and wellbeing of individuals, comprising:a radar sensor integrated into an elevated indoor appliance or integrated into a standalone radar device connected with the elevated indoor appliance, configured to monitor individuals within a room to collect data related to presence, sleep states and movements of individuals, wherein the radar sensor is strategically placed for optimal data collection in a location;a processor, for analyzing and processing the collected data for converting the collected data into distinct objects, algorithmically categorizing said objects into groups, including 'grown-ups,' 'toddlers,' 'babies,' and 'others', and algorithmically assessing and labeling physical states of said objects; and for generating control signals based on the analyzed and processed data; a communication means for transmitting the collected data and / or the processed data and / or the control signals to a control component in an environmental device; andthe control component of an environmental device, based on the collected data and / or the processed data and / or the control signals, for initiating adjusting the environmental device to facilitate a return to a calm and deep sleep state for individuals.

2. The sensor system of claim 1, further comprising a data sharing means for enabling Ambient Intelligence through an exchange of data with third-party devices for additional service applications.

3. The sensor system of claim 1, wherein the sensor is capable of capturing and analyzing data to classify postures, movements, sleep states, and agitation levels of the individuals; the radar sensor includes a passive millimeter wave sensor and / or an active millimeter wave sensor; the communication means uses a wired method and / or a wireless method.

4. The sensor system of claim 1, wherein the elevated indoor appliance includes one or more of a ceiling fan, a lighting device, a mirror or an air conditioning device; the environmental device is one or more of a ceiling fan, a lighting device, or an air conditioning device; the elevated indoor appliance and the environmental device are the same device or two independent devices.

5. The sensor system of claim 4, wherein when the environmental device is a ceiling fan or an air conditioning device, the adjusting comprises adjusting a fan’s speed, and / or an airflow direction and / or a preset temperature, or on / off; when the environmental device is a lighting device, the adjusting comprises adjusting intensity of ambient light, or on / off.

6. The sensor system of claim 1, wherein the processor comprises an AI processor, a microcontroller or a microprocessor; and the processor is integrated on the control component of the environmental device or connected with the control component for data communication.

7. The sensor system of claim 1, further comprising an activation mechanism that controls operational states of the radar sensor's; wherein the activation mechanism is configured on the processor of the sensor system or on the control component of the environmental device; the activation mechanism controls the sensor's operational state in two main modes: a continuous connection and active mode, wherein the sensor is continuously connected and active when there is at least one person in the room, in this mode, the sensor system is fully operational, continuously monitoring and collecting data; ora low-power sensing mode, wherein when there is no one in the room, the sensor switches to a low-power sensing mode, in this mode, sensor's power consumption is reduced to a minimum to conserve energy.

8. The sensor system of claim 1, further comprising a Radar on Chip (ROC) for precisely detecting data including movements and presence of the objects and processing the detected data and extracting valuable information reflecting on locations and motions of the objects.

9. The sensor system of claim 1, wherein the sensor system is powered from the elevated indoor appliance 's power source as a primary power source, and further have a battery power source as a backup power source; and a Comms Power Control (CPC) unit is set in the sensor system to manage the communication means, ensuring that data and alerts are communicated efficiently and managing power resources to optimize transmission.

10. The sensor system of claim 1, further comprising a cloud device and / or a local edge device, which offers flexibility in data management, allows data to be processed and stored either in a local edge device or in the cloud.

11. The sensor system of claim 1, further comprising a humidity sensor for measuring a humidity data in the room where the sensor system is deployed; wherein the humidity sensor is capable of continuously monitoring and recording the humidity data in the room and transmitting the humidity data to the processor; the sensor system further comprises a temperature sensor for measuring an ambient temperature data in the room where the sensor system is deployed, and the temperature sensor is capable of continuously monitoring and recording the temperature data in the room and transmitting the temperature data to the processor; the sensor system further comprises a light sensor for measuring intensity of ambient light and transmitting light intensity to the processor .

12. The sensor system of claim 1, comprising a radar radome which is designed to encase the radar sensor; the radar radome serves as a protective and aesthetic cover for the radar sensor, and is seamlessly integrated into the elevated indoor appliance's design without adversely affecting the established configuration.

13. The sensor system of claim 1, wherein the processor further comprises an algorithmic module for analyzing the physical states to assess a sleep quality and levels of restlessness, and for providing data-driven recommendations for optimal sleep and comfort settings, including adjustments to the environmental device, based on the individual's physical state and sleep stage.

14. The sensor system of claim 1, wherein the sensor system is configured to simultaneously monitor and collect data from multiple individuals, including couples, in the same room.

15. The sensor system of claim 1, wherein the processor further comprises an analytics module that conducts real-time analysis to identify and optimize a working point, ensuring personalized adjustments of the environmental device to accommodate combined sleep quality and comfort preferences of the individuals.

16. A sleeping space, configured therein with:a sensor system of any one of claims 1 to 15; the elevated indoor appliance; and the environmental device;wherein the elevated indoor appliance and the environmental device are the same device or two independent devices.

17. A method for optimizing sleep quality and comfort, comprising steps of:simultaneously monitoring and collecting data from an individual in a sleeping space, using the sensor system of any one of claims 1 to 15;analyzing the collected data in real-time to determine an optimal "working point," which includes personalized adjustments of the environmental device; andcustomizing the environmental device to accommodate combined sleep quality and comfort preferences of the monitored individual, thereby enhancing sleep experience for the individual in the sleeping space.

18. The method of claim 16, further comprising a step of transmitting the collected data to an external monitoring application or service, enabling remote access and control of environmental device settings.

19. The method of claim 16, wherein the collected data is processed to provide recommendations for improving sleep quality and comfort for the monitored individuals, based on historical sleep patterns and preferences.

Images