System and method for monitoring occupancy in room

Abstract

Embodiments of the present disclosure describe systems and methods for monitoring occupancy in a room. The method includes causing, via the detection unit, transmission of the radar signal within the room for a predefined time period. The method also includes receiving, via a detection unit, a reflected signal corresponding to the transmitted radar signal, the reflected signal indicating information associated with the room. The method also includes determining a presence of one or more occupants within the room based on the reflected signal. The method also includes, in response to determining the presence of the one or more occupants within the room, determining one or more of an activity associated with the one or more occupants within the room, a preference associated with use of the room by the one or more occupants within the room, and a visualization map associated with the room.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims the benefit of U.S. Provisional Patent Application No. 63 / 508,571, filed on June 16, 2023, which is incorporated herein by reference in its entirety. Technical Field

[0002] The present disclosure relates generally to detection systems and, more particularly, to systems and methods for monitoring the occupancy or presence of occupants in a room. Background Art

[0003] Typically, establishments in the hotel industry provide rooms and accommodation spaces to users for staying at the establishment. In most cases, rooms may remain unoccupied for a considerable duration because users may not be in their respective rooms. In addition, the prior art used to detect the occupancy of a room cannot provide results with high confidence. For example, passive infrared (PIR) sensors that are commonly used to detect the presence of a user in a room may have limitations on detecting sleeping users, false motion detection, limited area coverage, etc. Therefore, there may be blind spots in the room, and the PIR sensor may not be able to detect the user in the blind spot.

[0004] In addition, other sensors such as ultrasonic sensors and noise sensors may also be ineffective and inaccurate in detecting the presence of a user in a room. Inaccurate detection of a user in a room results in higher energy costs, operating costs, and maintenance costs. For example, maintenance personnel may have to manually check whether a room is occupied, such as before performing housekeeping tasks. In addition, facilities in the room (e.g., lights) may continue to operate, resulting in energy consumption.

[0005] The hotel industry is struggling with labor shortages, high energy costs, and high operating costs. Conventional techniques used to detect occupancy in a room are inefficient and do not facilitate solving the above problems. Therefore, it would be advantageous to provide a solution that can overcome the above problems. Summary of the invention

[0006] This summary is provided to introduce a selection of concepts in a simplified form that are further described in the detailed description of the present disclosure. This summary is not intended to identify key or essential inventive concepts of the present disclosure, nor is it intended to be used to determine the scope of the present disclosure.

[0007] Disclosed herein is a system for monitoring occupancy in a room. The system includes a detection unit and a control unit in communication with the detection unit. The control unit includes one or more processors, which are configured to cause the transmission of the radar signal in the room within a predefined time period via the detection unit. The one or more processors are also configured to receive a reflection signal corresponding to the transmitted radar signal via the detection unit, the reflection signal indicating information associated with the room. The one or more processors are also configured to determine the presence of one or more occupants in the room based on the reflection signal. The one or more processors are also configured to determine one or more of the following in response to determining the presence of one or more occupants in the room: activities associated with one or more occupants in the room, preferences associated with the use of the room by one or more occupants in the room, and a visual map associated with the room.

[0008] In one or more embodiments, the detection unit includes a first ultra-wideband (UWB) radar and a second UWB radar. The first UWB radar is configured to transmit a radar signal within the room. The second UWB radar is configured to transmit the radar signal through a wall structure within the room, thereby transmitting the radar signal throughout the room.

[0009] In one or more embodiments, the information associated with the room includes one or more of: occupant activity parameters related to activities of one or more occupants in the room, occupant location parameters related to respective positions of one or more occupants in the room, and occupant vital parameters indicating identities of one or more occupants in the room and vital sign information associated with the one or more occupants in the room.

[0010] In one or more embodiments, to determine the presence of one or more occupants, the one or more processors are further configured to compare one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal with one or more of the frequency value, phase value, and amplitude value associated with the received reflected signal, respectively. The one or more processors are further configured to detect a change in one or more of the frequency value, phase value, and amplitude value of the reflected signal compared to the transmitted radar signal. The one or more processors are further configured to determine the presence of one or more occupants in the room in response to detecting the change.

[0011] In one or more embodiments, in order to determine activities associated with one or more occupants in the room, the one or more processors are configured to extract occupant activity parameters based on the reflected signals. The one or more processors are further configured to determine activities of one or more occupants in the room based on the occupant activity parameters. The activities of the one or more occupants include one or more of sleeping, standing, sitting, exercising, and walking.

[0012] In one or more embodiments, the one or more processors are further configured to extract occupant vital parameters based on the reflected signal. The one or more processors are further configured to determine a health status associated with one or more occupants in the room based on the occupant vital parameters, wherein the health status includes information related to sleep quality, sleep time, sleep stage, stress level, and health risks associated with the one or more occupants. The one or more processors are further configured to cause the health status to be displayed on a user interface associated with one or more of the following: a control unit, a user device of one or more occupants, and a user device of one or more administrators associated with the room.

[0013] In one or more embodiments, the one or more processors are further configured to transmit an alert notification to one or more user devices of one or more occupants and one or more user devices of one or more administrators associated with the room upon determining that the health condition includes information related to a health risk.

[0014] In one or more embodiments, in order to determine preferences associated with one or more occupants in the room, one or more processors are configured to extract occupant activity parameters and occupant location parameters based on the reflected signal. The one or more processors are also configured to detect one or more ambient parameters associated with the room, the one or more ambient parameters being associated with the ambient conditions of the one or more occupants. The one or more processors are also configured to determine preferences associated with the use of the room based on the occupant activity parameters, the occupant location parameters, and the one or more ambient parameters.

[0015] In one or more embodiments, the one or more processors are further configured to perform control actions based on preferences associated with one or more occupants. The control actions include adjusting ambient conditions for the occupants, wherein the ambient conditions include one or more of temperature conditions, light conditions, usage of one or more room areas, and static object conditions within the room.

[0016] In one or more embodiments, to determine a visual map associated with the room, the one or more processors are configured to extract information associated with the room based on the reflected signal. The one or more processors are further configured to generate a virtual model of the room based on a pre-stored configuration of the room and the information associated with the room, the virtual model including representations of occupants within the room. The one or more processors are further configured to display the virtual model on one or more of a user interface associated with the one or more occupants and a user interface of an administrator associated with the room.

[0017] Also disclosed herein is a method for monitoring occupancy in a room. The method includes causing, via a detection unit, transmission of a radar signal within the room within a predefined time period. The method also includes receiving, via the detection unit, a reflection signal corresponding to the transmitted radar signal, the reflection signal indicating information associated with the room. The method also includes determining the presence of one or more occupants within the room based on the reflection signal. The method also includes, in response to determining the presence of one or more occupants within the room, determining one or more of an activity associated with the one or more occupants within the room, a preference associated with use of the room by the one or more occupants within the room, and a visual map associated with the room.

[0018] In one or more embodiments, the detection unit includes a first ultra-wideband (UWB) radar and a second UWB radar, wherein the first UWB radar is configured to transmit the radar signal within the room, and wherein the second UWB radar is configured to transmit the radar signal through a wall structure within the room, thereby transmitting the radar signal throughout the room.

[0019] In one or more embodiments, the information associated with the room includes one or more of: occupant activity parameters related to activities of one or more occupants in the room, occupant location parameters related to respective positions of one or more occupants in the room, and occupant vital parameters indicating identities of one or more occupants in the room and vital sign information associated with the one or more occupants in the room.

[0020] In one or more embodiments, determining the presence of one or more occupants in the room includes comparing one or more of a frequency value, a phase value, and an amplitude value of the transmitted radar signal with one or more of a frequency value, a phase value, and an amplitude value associated with the received reflected signal, respectively. The method also includes detecting a change in one or more of the frequency value, the phase value, and the amplitude value of the reflected signal compared to the transmitted radar signal. The method also includes determining the presence of one or more occupants in the room in response to the detection.

[0021] In one or more embodiments, determining activities associated with one or more occupants in the room includes extracting occupant activity parameters based on the reflected signal. The method also includes determining activities of one or more occupants in the room based on the occupant activity parameters, wherein the activities of the one or more occupants include one or more of sleeping, standing, sitting, exercising, and walking.

[0022] In one or more embodiments, the method further includes extracting occupant vital parameters based on the reflected signal. The method further includes determining a health condition associated with one or more occupants in the room based on the occupant vital parameters. The health condition includes information related to sleep quality, sleep time, sleep stage, stress level, and health risks associated with one or more occupants. The method further includes causing the health condition to be displayed on a user interface associated with one or more of: a control unit, a user device of one or more occupants, and a user device of one or more administrators associated with the room.

[0023] In one or more embodiments, the method further includes transmitting an alert notification to one or more of user devices of one or more occupants and user devices of one or more administrators associated with the room upon determining that the health condition includes information related to a health risk.

[0024] In one or more embodiments, determining preferences associated with one or more occupants in the room includes extracting occupant activity parameters and occupant location parameters based on the reflected signal. The method also includes detecting one or more ambient parameters associated with the room, the one or more ambient parameters associated with ambient conditions of the one or more occupants. The method also includes determining preferences associated with use of the room based on the occupant activity parameters, the occupant location parameters, and the one or more ambient parameters.

[0025] In one or more embodiments, the method also includes performing a control action based on preferences associated with one or more occupants, wherein the control action includes adjusting ambient conditions of the occupants, wherein the ambient conditions include one or more of temperature conditions, light conditions, usage of one or more room areas, and static object conditions within the room.

[0026] In one or more embodiments, determining a visual map associated with the room includes extracting information associated with the room based on the reflected signal. The method also includes generating a virtual model of the room based on a pre-stored configuration of the room and the information associated with the room, the virtual model including representations of occupants within the room. The method also includes displaying the virtual model on one or more of a user interface associated with one or more occupants and a user interface of an administrator associated with the room.

[0027] In order to further illustrate the advantages and features of the method, system and apparatus, a more specific description of the method, system and apparatus will be presented by reference to their specific embodiments shown in the accompanying drawings. It is understood that these drawings depict only typical embodiments of the present disclosure and are therefore not to be considered as limiting the scope thereof. The accompanying drawings will be used to describe and explain the present disclosure with additional specificity and detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] These and other features, aspects and advantages of the present disclosure will become better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout the drawings, and in which:

[0029] Figure 1 illustrates a system environment for monitoring occupancy in a room according to one or more embodiments of the present disclosure;

[0030] Figure 2 A schematic block diagram showing a system for monitoring occupancy in a room according to one or more embodiments of the present disclosure;

[0031] Figure 3 A process flow diagram depicting a method for monitoring occupancy in a room according to one or more embodiments of the present disclosure is shown;

[0032] Figure 4A An additional process flow diagram depicting a method for determining activities associated with one or more occupants within a room is shown in accordance with one or more embodiments of the present disclosure;

[0033] Figure 4B Another additional process flow diagram depicting a method for determining a health status of one or more occupants in a room according to one or more embodiments of the present disclosure is shown;

[0034] Figure 4C showing another additional process flow diagram depicting a method for determining preferences associated with one or more occupants within a room in accordance with one or more embodiments of the present disclosure; and

[0035] Figure 5 A flow chart depicting a method for processing signals from a detection unit to detect the presence of one or more occupants in a room is shown in accordance with one or more embodiments of the present disclosure.

[0036] Furthermore, those skilled in the art will appreciate that the elements in the drawings are shown for simplicity and may not necessarily be drawn to scale. For example, a flow chart illustrates a method in terms of the most salient steps involved to help promote understanding of various aspects of the present disclosure. Furthermore, with respect to the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are relevant to understanding the embodiments of the present disclosure, so as not to bury the drawings in details that would be readily apparent to those of ordinary skill in the art having the benefit of the description herein. DETAILED DESCRIPTION

[0037] To promote an understanding of the principles of the present disclosure, reference will now be made to various embodiments and specific language will be used to describe these embodiments. It will be understood, however, that no limitation of the scope of the present disclosure is intended thereby, and such changes and further modifications in the illustrated systems, and such further applications of the principles of the present disclosure as illustrated therein are deemed to be what would normally occur to one skilled in the art to which the present disclosure relates.

[0038] Those skilled in the art will understand that the foregoing general description and the following detailed description are illustrative of the present disclosure and are not intended to limit the present disclosure.

[0039] References throughout this specification to "aspect," "another aspect," or similar language mean that a particular feature, structure, or characteristic described in connection with that embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases "in an embodiment," "in another embodiment," "some embodiments," "one or more embodiments," and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0040] The terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, such that a process or method that includes a series of steps does not include only those steps, but may include other steps that are not explicitly listed or inherent to such process or method. Similarly, one or more devices or subsystems or elements or structures or components beginning with "includes ... a" do not exclude the presence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components without more constraints.

[0041] In addition to overcoming challenges associated with occupancy detection, the present disclosure provides a system that facilitates reductions in operating and maintenance costs. Furthermore, health risks can be prevented because information related to the vital signs of occupants in the room can be accurately collected. Furthermore, information related to preferences of the occupants and the occupants' use of the room can be utilized to provide better services to the occupants.

[0042] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

[0043] Figure 1 A system environment 100 for monitoring occupancy of a room among a plurality of rooms is shown.

[0044] The system environment 100 may include an indoor area / environment 110, which includes a plurality of rooms 120a-120n (hereinafter interchangeably referred to as "120"). In some embodiments, the indoor area 110 may be associated with a hotel, a motel, a hostel, and / or any other institution that provides accommodation to users. Those skilled in the art will appreciate that the details explained with respect to one room 120 may be equally applicable to each of the plurality of rooms 120a-120n without departing from the scope of the present disclosure.

[0045] In some embodiments, the room 120 may be associated with a detection unit 122. The detection unit 122 may be configured to transmit a signal, such as a radar signal, within the room 120. The detection unit 122 may also be configured to receive a reflected signal corresponding to the transmitted signal. In some embodiments, the detection unit 122 may be a separate unit disposed at a suitable location within the room 120. For example, the detection unit 122 may be disposed on a wall within the room 120. In some embodiments, the detection unit 122 may be integrated with a thermostat disposed within the room 120, and the functionality of the detection unit 122 may be provided by the thermostat. In some embodiments, the detection unit 122 may be integrated into a digital signal processor (DSP) or a field programmable gate array (FPGA) associated with the thermostat.

[0046] In some embodiments, the room 120 may be associated with different room areas 124a-124n within the room 120. The room areas 124a-124n may include, for example, a bedroom, a study area (including a study table and chair), a bathroom, a living room, a balcony area, an area near a mini bar, and the like. In some embodiments, one or more of the room areas 124a-124n may be separated by a wall structure. In some embodiments, the room 120 may be associated with a thermostat 125 configured to control the temperature within the room 120. For example, the thermostat 125 may be configured to control the operation of a heating, ventilation, and air conditioning (HVAC) unit associated with the room 120 to control the temperature and airflow within the room 120. In some embodiments, the room 120 may include one or more lighting units 126 configured to provide light within the room 120. In some embodiments, the room 120 may include one or more static objects 128 located at different locations within the room 120. The one or more static objects 128 may include, for example, a bed, a fan, a table, a chair, and the like. In some embodiments, one or more of the thermostat 125 and the lighting unit 126 may be communicatively coupled to the control unit 130 , as discussed herein throughout the present disclosure.

[0047] The detection unit 122 may be communicatively connected to the control unit 130 via a communication network 140, as discussed herein throughout the present disclosure. The control unit 130 may be configured to monitor occupancy in the room 120 based on the transmission and reflection signals of the detection unit 122. The detection unit 122 and the control unit 130 may form a system 150 for monitoring occupancy of the room 120. In some embodiments, the system 150 may additionally include one or more of a thermostat 125 and a lighting unit 126.

[0048] In some embodiments, the control unit 130 may be a server-based device remote from the indoor area 110. In some embodiments, the control unit 130 may be a cloud-based device. In some embodiments, the control unit 130 may be integrated with the detection unit 122. In some embodiments, the control unit 130 may be integrated with the thermostat 125 within the room 120, and thus, in such embodiments, the thermostat 125 may form part of the system 150. In some embodiments, one or more components of the control unit 130 may be provided on the cloud, while one or more components of the control unit 130 may be provided on a server or a thermostat.

[0049] Figure 2 A schematic block diagram of a system 150 for monitoring occupancy of a room among a plurality of rooms in an indoor area 110 is shown.

[0050] like Figure 2As shown in , the system 150 includes at least a control unit 130 and a detection unit 122. In some embodiments, the detection unit 122 may include a group of ultra-wideband (UWB) radars configured to transmit corresponding radar signals. The group of UWB radars may include a first UWB radar 122a and a second UWB radar 122b. In some embodiments, the first UWB radar 122a and the second UWB radar 122b may be arranged so that the first UWB radar 122a transmits the radar signal within the room 120, while the second UWB radar 122b transmits the radar signal through the wall structure in the room. Therefore, the transmission of the radar signal throughout the room 120 is achieved because all areas within the room 120 are covered by the first and second UWB radars 122a, 122b.

[0051] In some embodiments, the first UWB radar 122a and the second UWB radar 122b may be configured based on the characteristics of the room 120 (e.g., room type, room size, etc.) to achieve 360-degree detection coverage of the room 120. As an example, the first UWB radar 122a may be arranged to transmit radar signals in the bathroom area of ​​the room 120, while the second UWB radar 122b may be arranged to transmit radar signals in the remaining areas of the room 120. In some embodiments, the first UWB radar 122a and the second UWB radar 122b may be stitched back-to-back in position to form a set of UWB radars and achieve complete coverage of the room 120.

[0052] In some embodiments, the first UWB radar 122a and the second UWB radar 122b may each be one of a frequency modulated continuous wave (FMCW) UWB radar, a pulse UWB radar, an M-sequence UWB radar, etc. In some embodiments, each of the first UWB radar 122a and the second UWB radar 122b may be configured to operate in a frequency range of 3.1 to 10.6 GHz. It is appreciated that although Figure 2 An arrangement of dual UWB radars is depicted in FIG. 1 , but in some embodiments, the detection unit 122 may include more than two radars to achieve complete detection coverage of the room 120 , and the details provided for the first UWB radar 122 a and the second UWB radar 122 b are also applicable to more than two UWB radars in the detection unit 122 .

[0053] In one or more embodiments, the control unit 130 may include one or more processors 202 , a memory 204 , one or more modules 206 , and a communication interface 208 .

[0054] The one or more processors 202 may be configured to communicate with the memory 204 to store UWB radar related data (e.g., data associated with the transmitted radar signal and the reflected signal) for use in monitoring the occupancy of the room 120. In one or more embodiments, the one or more processors 202 may be one or more microprocessors or microcontrollers. The one or more processors 202 may include one or more processors, and may include one or more general-purpose processors such as a central processing unit (CPU), an application processor (AP), etc., a pure graphics processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and / or an artificial intelligence (AI) dedicated processor such as a neural processing unit (NPU).

[0055] In some embodiments, the memory 204 may store data and instructions executable by one or more processors 202 to perform method steps for monitoring the occupancy of the room 120, as discussed herein throughout the present disclosure. The memory 204 may also include, but is not limited to, non-transitory computer-readable storage media, such as various types of volatile and non-volatile storage media, including but not limited to random access memory, read-only memory, programmable read-only memory, electrically programmable read-only memory, electrically erasable read-only memory, flash memory, tape or disk, optical media, etc. In addition, the non-transitory computer-readable storage medium of the memory 204 may include executable instructions in the form of modules 206 and a database for storing data. The module 206 may include a set of instructions that may be executed to cause the one or more processors 202 to perform any one or more of the methods for monitoring the occupancy of the room 120, as disclosed herein throughout the present disclosure. Specifically, the one or more modules 206 may be configured to use the data stored in the database of the memory 204 to perform the steps of the present disclosure for monitoring the occupancy of the room 120. In another embodiment, the module 206 may be one or more hardware units, which may be external to the memory 204. In one embodiment, memory 204 may communicate via a bus within one or more processors 202 .

[0056] In one or more embodiments, the communication interface 208 may include a transmitter and a receiver, and may further be configured to communicate with the detection unit 122 via the communication network 140. In some embodiments, the communication interface 208 may be configured to communicate with one or more of the thermostat 125 and the lighting unit 126 via the communication network 140. Communication via the communication network 140 may be based on a wireless communication protocol. The communication interface 208 may be configured to communicate internally between internal hardware components and with external devices (e.g., the detection unit 122) via one or more networks (e.g., radio technology). The communication interface 208 may include electronic circuits specific to standards that can implement wireless communication. In some embodiments, the communication network may be implemented using Wi-Fi, long distance (LoRa), global system for mobile communications (GSM), narrowband Internet of Things (NBIOT), etc.

[0057] refer to Figure 1 and Figure 2 , the one or more processors 202 may be configured to cause the transmission of a radar signal within the room via the detection unit 122. The radar signal may be transmitted within a predefined time period. As described above, the radar signal may be transmitted by the first UWB radar 122a and the second UWB radar 122b to cover each area of ​​the room 120. The transmitted radar signal may be reflected by one or more static objects 128 within the room 120 while propagating within the room 120. In addition, in the case where one or more occupants are present within the room 120, the transmitted radar signal is also reflected by the body of the one or more occupants.

[0058] The one or more processors 202 may be configured to receive a reflected signal corresponding to the transmitted radar signal via the detection unit 122. The one or more processors 202 may also be configured to determine the presence of one or more occupants within the room 120 based on the reflected signal. In some embodiments, the one or more processors 202 may be configured to determine the presence of one or more occupants based on one or more of a phase value, an amplitude value, and a frequency value of the transmitted radar signal and the reflected signal.

[0059] In some embodiments, the one or more processors 202 may be configured to compare one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal with one or more of the frequency value, phase value, and amplitude value associated with the reflected signal, respectively. When the radar signal from the detection unit 122 is transmitted through the body of one or more occupants, the corresponding reflected signal may contain fluctuations in one or more of the phase value, amplitude value, and frequency value. As an example, the fluctuations may be caused by various body parts (arms, limbs, torso, etc.) of the one or more occupants. As another example, the fluctuations may be caused by the surface of the chest of one or more occupants during inhalation and exhalation.

[0060] In some embodiments, the one or more processors 202 may be configured to detect a change in one or more of the frequency value, phase value, and amplitude value of the reflected signal compared to one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal. The change in one or more of the frequency value, phase value, and amplitude value of the reflected signal may indicate the presence of one or more occupants in the room 120. In some embodiments, the one or more processors 202 may detect the change based on one or more signal processing and clutter removal algorithms. In some embodiments, the signal-to-noise ratio associated with the reflected signal may be improved by suppressing non-stationary clutter using singular value decomposition (SVD). In some embodiments, a linear trend subtraction (LTS) technique may be used to remove static clutter and linear trends associated with the reflected signal. In some embodiments, complex signal demodulation (CSD) may be used to suppress harmonics associated with the reflected signal. In some embodiments, the one or more processors 202 may filter the reflected signal to eliminate static objects before detecting the change. In some embodiments, the one or more processors 202 may be configured to determine the presence of one or more occupants in the room 120 in response to detecting a change in one or more of the frequency value, phase value, and amplitude value of the reflected signal compared to one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal.

[0061] Since the transmitted radar signal may be reflected based on the presence of an occupant in room 120, the reflected signal may indicate information associated with room 120. In addition, since the transmitted radar signal may be reflected based on the presence of an object in room 120, the reflected signal may indicate one or more surrounding parameters associated with the condition of the surrounding (object) in room 120.

[0062] In some embodiments, the information associated with the room 120 includes one or more of the following: occupant activity parameters, occupant location parameters, and occupant vital parameters. The occupant activity parameters may relate to the activities of one or more occupants within the room 120, such as standing, walking, sitting, sleeping, etc. The occupant location parameters may be related to the respective locations of the one or more occupants within the room 120. The occupant vital parameters may indicate the identities of the one or more occupants within the room 120 and / or vital sign information associated with the one or more occupants.

[0063] The one or more processors 202 may be configured to determine additional data based on one or more of the occupant activity parameters, the occupant location parameters, and the occupant vital parameters in response to determining the presence of one or more occupants in the room 120. The additional data may include one or more of activities associated with the one or more occupants in the room 120, preferences associated with use of the room by the one or more occupants in the room 120, and / or a visual map associated with the room 120.

[0064] In some embodiments, the one or more processors 202 may be configured to determine activities associated with one or more occupants based on occupant activity parameters. The one or more processors 202 may be configured to extract occupant activity parameters based on the reflected signal indicating information associated with the room 120. Based on the extracted occupant activity parameters, the one or more processors 202 may be configured to determine activities of one or more occupants within the room 120. In some embodiments, the activities of the one or more occupants include one or more of sleeping, standing, sitting, exercising, walking, etc.

[0065] In some embodiments, the one or more processors 202 may use a first machine learning (ML) model to determine the activities of one or more occupants. In some embodiments, the first ML model may be stored in the memory 204, for example, in the ML data unit 204b of the memory 204. In some embodiments, the first ML model may be based on a deep learning algorithm. In some embodiments, the first ML model may include a wavelet neural network. For example, based on the first ML model, the one or more processors 202 may determine the activities of one or more occupants who are about to sleep. The first ML model may process occupant activity parameters to determine the height of the chest, arms, and limbs from the ground, whether the position of the chest and arms is lower than the standing position, whether the length of the arms is vertical or parallel to the ground, etc. Based on the processing of the first ML model, an output indicating the determined occupant activity may be generated. In some embodiments, the occupant activity parameters and data associated with the determined activities of one or more occupants may be stored in the occupant-related unit 204a within the memory 204.

[0066] In some embodiments, the one or more processors 202 may be configured to determine the health status of one or more occupants based on the occupant vital parameters. The one or more processors 202 may be configured to extract the occupant vital parameters based on the reflected signal indicating information associated with the room 120. Based on the extracted occupant vital parameters, the one or more processors 202 may be configured to determine the health status of one or more occupants within the room 120.

[0067] In some embodiments, the occupant vital information may include information associated with the cardiovascular and respiratory systems of one or more occupants. In some embodiments, the occupant vital information may include information associated with the heartbeat and breathing of one or more occupants. In some embodiments, the health status of one or more occupants may include information related to sleep quality, sleep time, sleep stage, stress level, and health risks associated with one or more occupants. In some embodiments, the one or more processors 202 may use a second machine learning (ML) model to determine the health status of one or more occupants. In some embodiments, the second ML model may be stored in the memory 204, for example, in the ML data unit 204b of the memory 204. In some embodiments, the second ML model may include a wavelet neural network. In some embodiments, the second ML model and the first ML model may form part of a common ML model, which is configured to detect the activities of one or more occupants and to determine the health status of one or more occupants.

[0068] In some embodiments, according to one or more embodiments of the present disclosure, a training system can be used to train a first, second and / or public ML model. In some embodiments, the training system can use an unsupervised learning algorithm to train the model. In some embodiments, the use of an unsupervised learning algorithm may be beneficial because it can allow hidden trends and patterns to be discovered, or data features that would be difficult to obtain if other techniques were used to extract from the input data. It is to be understood that the machine learning model described herein is an example. However, other techniques are also contemplated by the present disclosure. Therefore, any computer-implemented techniques or machine learning techniques for determining the activities of occupants, the health status of occupants, and / or for determining occupancy are contemplated by the present disclosure. For example, supervised learning, semi-supervised learning, unsupervised learning, reinforcement learning, and / or other machine learning techniques are contemplated by the present disclosure. In some embodiments, the machine learning model may include a decision tree, a support vector machine, regression analysis, a Bayesian network, a random forest learning, a dimensionality reduction algorithm, a boosting algorithm, an artificial neural network (e.g., a fully connected neural network, a deep convolutional neural network, or a recursive neural network), deep learning, and / or other machine learning models.

[0069] In some embodiments, the one or more processors 202 may be configured to cause the determined health status to be displayed on one or more user interfaces. In some embodiments, the one or more user interfaces include a user interface associated with the control unit 130 (e.g., in a non-limiting example, the thermostat 125 within the room 120). In some embodiments, the one or more user interfaces include a user interface associated with one or more occupants, such as, in a non-limiting example, a user interface of a handheld device of one or more occupants. In some embodiments, the one or more user interfaces include a user interface associated with one or more administrators associated with the room 120 and / or the indoor area 110. For example, the user interface associated with one or more administrators may include a user interface of a public device, such as a device at a receiving area associated with the indoor area 110, and / or a user interface associated with a handheld device associated with one or more administrators.

[0070] In some embodiments, the one or more processors 202 may be configured to generate and transmit an alert notification when it is determined that the health condition includes information related to a health risk. In some embodiments, the one or more processors 202 may be configured to transmit an alert notification to a user device (e.g., a handheld device) of one or more occupants. In some embodiments, the one or more processors 202 may be configured to transmit an alert notification to a user device (e.g., a handheld device) of one or more administrators associated with the room 120 and / or the indoor area 110. Thus, occupants and / or administrators may be made aware of possible health risks so that necessary preventive measures and / or remedial measures may be taken quickly.

[0071] In some embodiments, in addition to the occupant activity parameters, the one or more processors 202 may also process occupant position parameters and / or occupant vital parameters to determine activities associated with one or more occupants. In one example, the one or more processors 202 may determine that for an occupant of the one or more occupants, the occupant is in a stationary position and the arms and limbs are parallel to the ground, indicating that the occupant may be sleeping. In another example, the one or more processors 202 may determine that the occupant's position is changing at a particular rate and the arms and legs are moving, indicating that the occupant may be walking. In other examples, the one or more processors 202 may determine that the occupant may be standing when the occupant's position is constant and the arms and legs are perpendicular to the ground, determine that the passenger may be exercising based on the occupant's breathing rate and heartbeat related information, determine that the occupant may be sitting based on the position of the upper body relative to the legs, and determine that the occupant may have fallen based on the rate of change of the occupant's position from a standing position to a sitting position.

[0072] In some embodiments, the one or more processors 202 may be configured to determine preferences associated with one or more occupants within the room 120. In some embodiments, the preferences associated with the one or more occupants may include preferences of the one or more occupants regarding use of the room 120. For example, the one or more occupants may prefer to spend most of their time in area 124a of the plurality of areas 124a-124n within the room 120. As another example, the one or more occupants may prefer to use a particular object (e.g., a particular chair) among the objects 128 within the room 120 as compared to the remaining objects 128.

[0073] In some embodiments, the one or more processors 202 may be configured to extract occupant activity parameters and occupant location parameters based on the reflected signal indicating information associated with the room 120. In some embodiments, the one or more processors 202 may extract the occupant location parameters based on the reception angle of the reflected signal (i.e., the angle at which the reflected signal is received at the detection unit 122). In some embodiments, the one or more processors 202 may extract the occupant location parameters based on one or more of the positioning and tracking techniques. In some embodiments, a discrete short-time Fourier transform (DSTF) technique may be used to calculate the distance between one or more occupants and the detection unit 122.

[0074] In some embodiments, the one or more processors 202 may be configured to detect one or more ambient parameters associated with the room 120. The one or more ambient parameters may be associated with the ambient conditions of one or more occupants. In some embodiments, the surroundings of the one or more occupants may include a thermostat 125, a lighting unit 126, and / or a static object 128 within the room 120. Based on the extracted occupant activity parameters, occupant location parameters, and one or more ambient parameters, the one or more processors 202 may be configured to determine preferences associated with the one or more occupants, in particular, preferences associated with the use of the room 120 and the surroundings by the one or more occupants within the room 120.

[0075] In some embodiments, the one or more processors are configured to perform control actions based on preferences associated with one or more occupants. The control actions may include adjusting one or more of the ambient conditions of the occupants. In some embodiments, the ambient conditions include one or more of temperature conditions, light conditions, usage of one or more room zones 124a-124n, and conditions of static objects 128 within the room 120. As an example, the control action may include sending an activation or deactivation signal to a lighting unit 126 of one or more of the room zones 124a-124n, thereby adjusting the light conditions within the room 120. As another example, the control action may include adjusting the operation of the thermostat 125, thereby adjusting the temperature conditions within the room 120. In some embodiments, the control action may include sending an adjustment notification to one or more administrators to facilitate adjusting the conditions of the static objects 128 and / or adjusting the usage of one or more room zones 124a-124n within the room 120.

[0076] In some embodiments, the one or more processors 202 may be configured to determine a visual map associated with the room 120 based on information associated with the room 120. The one or more processors 202 may be configured to extract information associated with the room 120 based on the reflected signal, the information associated with the room 120 including at least occupant activity parameters and occupant location parameters.

[0077] In some embodiments, the configuration of the room 120 may be pre-stored in the memory 204, the configuration including information related to the type, shape, size, and structure of the room 120, information related to the plurality of areas 124a-124n within the room 120, placement of static objects 128 within the room 120, etc. The one or more processors 202 may be configured to generate a virtual model of the room 120 based on the pre-stored configuration of the room 120 and based on the information associated with the room 120. In some embodiments, the virtual model may include representations of occupants within the room 120. In some embodiments, the virtual model may include representations of static objects 128 within the room 120. In some embodiments, the one or more processors 202 may be configured to display the virtual model of the room 120 on one or more of a user interface associated with one or more occupants (e.g., on a user device of one or more occupants) and / or a user interface associated with one or more administrators (e.g., on a user device of one or more administrators). In some embodiments, the one or more occupants and / or the one or more administrators may view the virtual model through a software application installed in the corresponding user device and / or through a WEB-based application accessible via the corresponding user device.

[0078] In some embodiments, the one or more processors 202 may be configured to combine the determined preferences associated with the use of the room 120 with the virtual model of the room 120. Thus, the visual map may include the virtual model of the room 120 and information about the use of the room 120 by one or more occupants.

[0079] In some embodiments, information associated with the room 120 may be stored in the memory 204, for example, in the occupant-related unit 204a of the memory 204. In some embodiments, the information associated with the memory may be stored in a predetermined format such that the information may be retrieved by the one or more processors 202. In some embodiments, the information may be stored in a format including {'occupant detection status', 'occupant identifier', 'occupant coordinates', 'occupant activity'}. In some embodiments, the information may be stored in a format including {'number of occupants', 'occupant identifier', 'occupant coordinates', 'occupant occupied area', 'occupant activity', 'light conditions', 'temperature conditions', 'blind conditions', 'sleep duration', 'sleep stage', 'timestamp'}.

[0080] The occupant detection status may be '0x01' indicating that an occupant is present or '0x00' indicating that an occupant is not present. The occupant identifier may be an identifier specific to an occupant in the room 120, such that if there are multiple occupants in the room 120, each of the multiple occupants may be identified. For example, a first occupant in the room 120 may be identified as 'A', and a second occupant in the room 120 may be identified as 'B'.

[0081] The occupant coordinates may indicate the location of one or more occupants within the room 120. For example, the coordinates (10, 01) may indicate that one of the occupants is present at a particular location indicated by the coordinates (10, 01) within the room 120. The occupant activities may indicate the activities of one or more occupants within the room 120. For example, occupant activity '1' may indicate a sleeping activity, occupant activity '2' may indicate an activity walking toward a door, occupant activity '3' may indicate a standing activity, occupant activity '4' may indicate a training activity, occupant activity '5' may indicate a sitting activity, occupant activity '6' may indicate an activity leaving a door, occupant activity '7' may indicate a falling activity, and so on.

[0082] The number of occupants in this format may indicate the total number of occupants in the room and may be represented as an integer value. The occupant occupancy zone may indicate a specific zone in the plurality of zones 124a-124n within the room 120 where the occupant may be present. For example, '01' may indicate that the occupant is in the minibar, while '02' may indicate that the occupant is in the bathroom. The light condition may indicate the operation of one or more of the lighting units 126 within the room 120. For example, 'L1' may indicate that the lighting unit 126 labeled L1 is active. The temperature condition may indicate the temperature of the room 120, which may be represented in digital form. The blind condition may indicate whether the blinds in the room 120 are open or closed, as '0' may indicate that the blinds are open, while '1' may indicate that the blinds are closed. The sleep duration may indicate the duration during which the occupant is sleeping, which may be indicated in digital form. The sleep stage may indicate the sleep stage of the occupant, for example, '1' may indicate a REM sleep cycle, '2' may indicate a core sleep cycle, '3' may indicate a deep sleep cycle, and so on. The timestamp may indicate the time when the information was received, for example in the form of 'hh:mm' or 'DD:mm:YY'.

[0083] As an example, information in the format {0x01, A, (10, 01), 1} may indicate that an occupant identified as 'A' is present at location (10, 01) in room 120 and is sleeping. In another example, information in the format {1, 1, (06, 05), 0, 2, L1, L2, 20, O, 0, 0, 18:00, 01-01-23} may indicate that at 6:00 PM, the occupant is in the minibar, while information in the format {1, 1, (06, 03), 3, 1, 0, 22, O, 0, 0, 20:30, 01-01-23} may indicate that the occupant is in bed, sleeping, with the lights off, and the temperature set at 22 degrees. Thus, information associated with room 120 may be used to obtain data regarding the occupant's preferences regarding the use of room 120, and in addition, automatically control the operation of various components within the room (e.g., lighting unit 126 and thermostat 125). Furthermore, data for multiple occupants within a room may be obtained, and components may be controlled taking into account the preferences of each of the multiple occupants.

[0084] Figure 3 A flow chart is shown depicting a method 300 for monitoring occupancy in a room, such as room 120. Method 300 may be described with reference to room 120, and those skilled in the art will appreciate that the method may be performed for each of a plurality of rooms 120a-120n in indoor area 110.

[0085] At step 302, method 300 includes causing, via detection unit 122, transmission of a radar signal within room 120 for a predefined time period. In some embodiments, detection unit 122 includes a first UWB radar 122a and a second UWB radar 122b.

[0086] At step 304, method 300 includes receiving, via detection unit 122, a reflected signal corresponding to the transmitted radar signal. The reflected signal may indicate information associated with the room. In some embodiments, the information associated with the room includes one or more of occupant activity parameters, occupant location parameters, and occupant vital parameters.

[0087] At step 306 , method 300 includes determining the presence of one or more occupants within room 120 based on the reflected signals.

[0088] At step 308, method 300 includes, in response to determining the presence of one or more occupants within room 120, determining one or more of activities associated with the one or more occupants within room 120, preferences associated with use of the room by the one or more occupants within room 120, and a visual map associated with room 120.

[0089] In some embodiments, method 300 may include additional steps to determine activities associated with one or more occupants within room 120 . Figure 4A An additional process flow is shown depicting a method 400A that includes extracting occupant activity parameters based on the reflected signals at an additional step 402. In some embodiments, signal processing and clutter removal techniques may be used to extract occupant activity parameters.

[0090] At additional step 404, method 400A includes determining an activity of one or more occupants within the room based on the occupant activity parameter. The activity of the one or more occupants may include one or more of sleeping, standing, sitting, exercising, and walking.

[0091] In some embodiments, method 300 may include additional steps to determine the health status of one or more occupants in room 120. Figure 4B An additional process flow is shown depicting method 400B, which at an additional step 406 includes extracting an occupant vital parameter based on the reflected signal.

[0092] At additional step 408, method 400B includes determining health conditions associated with one or more occupants in room 120 based on the occupant vital parameters. The health conditions may include information related to sleep quality, sleep time, sleep stages, stress levels, and health risks associated with one or more occupants. The health risks may include, for example, whether the occupant fell in the room.

[0093] At an additional step 410 , method 400B includes causing the health status to be displayed on a user interface associated with one or more of control unit 130 , user devices of one or more occupants, and user devices of one or more administrators associated with room 120 .

[0094] At additional step 412 , method 400B includes transmitting an alert notification to one or more of user devices of one or more occupants and user devices of one or more administrators associated with room 120 upon determining that the health condition includes information related to a health risk.

[0095] In some embodiments, method 300 may include additional steps to determine preferences associated with one or more occupants within room 120. Preferences may include preferences related to use of room 120 by the one or more occupants. Figure 4C An additional process flow is shown depicting method 400C, which at an additional step 414 includes extracting occupant activity parameters and occupant position parameters based on the reflected signals.

[0096] At an additional step 416, the method 400C includes detecting one or more ambient parameters associated with the room. The one or more ambient parameters may be associated with ambient conditions of one or more occupants.

[0097] At an additional step 418 , the method 400C includes determining preferences associated with use of the room based on the occupant activity parameter, the occupant location parameter, and the one or more ambient parameters.

[0098] At additional step 420, method 400C includes performing a control action based on preferences associated with one or more occupants. The control action may include adjusting ambient conditions for the occupants. The ambient conditions may include one or more of temperature conditions, light conditions, usage of one or more room areas, and static object conditions within the room.

[0099] Figure 5A process flow depicting a method 500 for processing a signal from a detection unit 122 to detect the presence of one or more occupants in a room 120 is shown. At step 502, the method 500 includes causing the detection unit 122 to transmit a radar signal within the room 120. At step 504, the method 500 includes receiving a reflected signal corresponding to the transmitted radar signal.

[0100] At step 506, the method 500 includes processing the reflected signal based on one or more signal processing techniques. At step 508, the method 500 includes filtering the reflected signal to remove data associated with static objects 128 within the room 120. At step 510, the method 500 includes determining whether the reflected signal contains data associated with one or more occupants greater than a detection threshold. Upon determining that the reflected signal contains data associated with one or more occupants greater than the detection threshold, at step 512, the method 500 includes determining that the one or more occupants are present in the room 120. At step 514, the method 500 includes storing the data associated with the detection of the one or more occupants in a memory. In some embodiments, the stored data may be accessed and processed to determine additional data, such as activities and preferences of the detected one or more occupants. Upon determining that the reflected signal contains data associated with one or more occupants less than the detection threshold, at step 516, the method 500 includes determining that the one or more occupants are not in the room 120. In some embodiments, the method 500 may be repeated at predetermined time intervals.

[0101] Although 3- Figure 5 However, according to various embodiments of the present disclosure, the steps may appear in a variation of this order. Figure 3-Figure 5 The detailed description of each step has been covered in Figure 1-2 The relevant description is omitted here for the sake of brevity.

[0102] In some embodiments, the one or more processors 202 may be configured to execute instructions included in a computer program product. The computer program product may be embodied in a non-transitory computer readable medium. The computer program product may include instructions that, when executed by the one or more processors 202, cause the one or more processors 202 to perform the following steps: Figure 3-Figure 5 The method depicted.

[0103] The present disclosure provides a method and system for accurately monitoring occupancy in a room. A dual-pulse UWB radar is used to cover all blind spots and cover all areas within the room. Parameters related to the occupants can be accurately extracted and room occupancy can be accurately reported. The system can be integrated in the thermostat, making installation simple. In addition, details related to the vital signs of the occupants can be determined, and in the event of health risks, timely actions can be taken. In addition, since predictive alerts can be generated, maintenance costs are reduced. In addition, operating costs are reduced due to reduced time for housekeeping and administrative staff.

[0104] Furthermore, a database including information related to the preferences of the occupants and the use of the room by the occupants can be created. Information related to the occupants, such as rest time, sleep quality, preferred room areas, activity maps, etc. can be collected. Thus, automatic control of components within the room can be performed based on the preferences of the occupants. Furthermore, information related to the use of the room can be used to remodel the room, leading to better infrastructure and marketing opportunities.

[0105] As will be apparent to those skilled in the art, various possible modifications may be made to the methods disclosed herein in order to implement the inventive concepts as taught herein.

[0106] In addition, the actions of any flowchart need not be implemented in the order shown; nor do all of the actions described need to be performed. Moreover, those actions that do not depend on other actions can be performed in parallel with other actions.

[0107] The accompanying drawings and the foregoing description give examples of embodiments. It will be appreciated by those skilled in the art that one or more of the elements described may be well combined into a single functional element. Alternatively, some elements may be segmented into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of the processes described herein may be varied and are not limited to the manner described herein.

[0108] Benefits, other advantages, and solutions to problems have been described above with respect to specific embodiments. However, the benefits, advantages, solutions to problems, and any (one or more) components that may cause any benefit, advantage, or solution to appear or become more significant are not to be construed as key, required, or essential features or components of any or all claims.

[0109] Although specific language has been used to describe the subject matter, it is not intended to create any limitation therefrom. As will be appreciated by those skilled in the art, various feasible modifications may be made to the method to realize the inventive concept as taught herein. The accompanying drawings and the foregoing description provide examples of embodiments. Those skilled in the art will appreciate that one or more of the elements described may be well combined into a single functional element. Alternatively, some elements may be divided into multiple functional elements. Elements from one embodiment may be added to another embodiment.

Claims

1. A system for monitoring occupancy in a room, the system comprising: detection unit, and A control unit in communication with the detection unit, the control unit comprising one or more processors, the one or more processors being configured to: causing, via the detection unit, transmission of a radar signal within the room for a predefined period of time; receiving, via the detection unit, a reflected signal corresponding to the transmitted radar signal, the reflected signal indicating information associated with the room; determining the presence of one or more occupants in the room based on the reflected signal; as well as In response to determining the presence of the one or more occupants in the room, determining one or more of the following: activities associated with the one or more occupants in the room, preferences associated with use of the room by the one or more occupants of the room, and A visual map associated with the room.

2. The system according to claim 1, wherein: The detection unit includes a first ultra-wideband (UWB) radar and a second UWB radar, wherein the first UWB radar is configured to transmit a radar signal within the room, and wherein the second UWB radar is configured to transmit the radar signal through a wall structure within the room, thereby transmitting the radar signal throughout the room.

3. The system according to claim 1, wherein: The information associated with the room includes one or more of the following: occupant activity parameters related to activities of the one or more occupants in the room, occupant location parameters associated with respective locations of the one or more occupants within the room, and Occupant vital parameters indicative of identities of the one or more occupants in the room and vital sign information associated with the one or more occupants in the room.

4. The system according to claim 1, wherein: To determine the presence of the one or more occupants, the one or more processors are configured to: comparing one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal with one or more of the frequency value, phase value, and amplitude value associated with the received reflected signal, respectively; detecting a change in said one or more of a frequency value, a phase value, and an amplitude value of said reflected signal compared to said transmitted radar signal; as well as In response to detecting the change, a presence of the one or more occupants in the room is determined.

5. The system according to claim 1, wherein: To determine the activity associated with the one or more occupants in the room, the one or more processors are configured to: extracting the occupant activity parameter based on the reflected signal; as well as determining an activity of the one or more occupants within the room based on the occupant activity parameters, wherein The activity of the one or more occupants includes one or more of sleeping, standing, sitting, exercising, and walking.

6. The system according to claim 3, wherein: The one or more processors are configured to: extracting the occupant's vital parameters based on the reflected signal; determining a health condition associated with the one or more occupants in the room based on the occupant vital parameters, wherein the health condition includes information related to sleep quality, sleep time, sleep stages, stress levels, and health risks associated with the one or more occupants; as well as The health status is caused to be displayed on a user interface associated with one or more of: the control unit, a user device of the one or more occupants, and a user device of one or more administrators associated with the room.

7. The system according to claim 6, wherein: The one or more processors are configured to: Upon determining that the health condition includes information related to a health risk, an alert notification is transmitted to one or more of the user devices of the one or more occupants and the user devices of one or more administrators associated with the room.

8. The system according to claim 3, wherein: To determine the preferences associated with the one or more occupants in the room, the one or more processors are configured to: extracting the occupant activity parameter and the occupant position parameter based on the reflected signal; detecting one or more ambient parameters associated with the room, the one or more ambient parameters being associated with ambient conditions of the one or more occupants; as well as The preference associated with use of the room is determined based on the occupant activity parameter, the occupant location parameter, and the one or more ambient parameters.

9. The system according to claim 8, wherein: The one or more processors are configured to: A control action is performed based on the preferences associated with the one or more occupants, wherein the control action includes adjusting conditions surrounding the occupants, wherein the surrounding conditions include one or more of temperature conditions, light conditions, usage of one or more room areas, and static object conditions within the room.

10. The system according to claim 1, wherein: To determine the visual map associated with the room, the one or more processors are configured to: extracting the information associated with the room based on the reflected signal; generating a virtual model of the room based on a pre-stored configuration of the room and the information associated with the room, the virtual model including a representation of the occupant within the room; as well as The virtual model is displayed on one or more of a user interface associated with the one or more occupants and a user interface of an administrator associated with the room.

11. A method for monitoring occupancy in a room, the method comprising: causing, via the detection unit, transmission of a radar signal within the room for a predefined period of time; receiving, via the detection unit, a reflected signal corresponding to the transmitted radar signal, the reflected signal indicating information associated with the room; determining the presence of one or more occupants in the room based on the reflected signal; as well as In response to determining the presence of the one or more occupants in the room, determining one or more of the following: activities associated with the one or more occupants in the room, preferences associated with use of the room by the one or more occupants of the room, and A visual map associated with the room.

12. The method according to claim 11, wherein: The detection unit includes a first ultra-wideband (UWB) radar and a second UWB radar, wherein the first UWB radar is configured to transmit a radar signal within the room, and wherein the second UWB radar is configured to transmit the radar signal through a wall structure within the room, thereby transmitting the radar signal throughout the room.

13. The method according to claim 11, wherein: The information associated with the room includes one or more of the following: occupant activity parameters related to activities of the one or more occupants in the room, occupant location parameters associated with respective locations of the one or more occupants within the room, and Occupant vital parameters indicative of identities of the one or more occupants in the room and vital sign information associated with the one or more occupants in the room.

14. The method according to claim 11, wherein: Determining the presence of the one or more occupants in the room includes: comparing one or more of the frequency value, phase value, and amplitude value of the transmitted radar signal with one or more of the frequency value, phase value, and amplitude value associated with the received reflected signal, respectively; detecting a change in one or more of the frequency value, phase value, and amplitude value of the reflected signal compared to the transmitted radar signal; and In response to detecting the change, a presence of the one or more occupants in the room is determined.

15. The method according to claim 11, wherein: Determining activities associated with the one or more occupants in the room includes: extracting the occupant activity parameter based on the reflected signal; and determining an activity of the one or more occupants within the room based on the occupant activity parameters, wherein The activity of the one or more occupants includes one or more of sleeping, standing, sitting, exercising, and walking.

16. The method according to claim 15, further comprising: extracting the occupant's vital parameters based on the reflected signal; determining a health condition associated with the one or more occupants in the room based on the occupant vital parameters, wherein the health condition includes information related to sleep quality, sleep time, sleep stages, stress levels, and health risks associated with the one or more occupants; as well as The health status is caused to be displayed on a user interface associated with one or more of: the control unit, a user device of the one or more occupants, and a user device of one or more administrators associated with the room.

17. The method according to claim 16, further comprising: Upon determining that the health condition includes information related to a health risk, an alert notification is transmitted to one or more of the user devices of the one or more occupants and the user devices of one or more administrators associated with the room.

18. The method according to claim 13, wherein: Determining the preferences associated with the one or more occupants in the room includes: extracting the occupant activity parameter and the occupant position parameter based on the reflected signal, detecting one or more ambient parameters associated with the room, the one or more ambient parameters being associated with ambient conditions of the one or more occupants; and The preference associated with use of the room is determined based on the occupant activity parameter, the occupant location parameter, and the one or more ambient parameters.

19. The method according to claim 18, further comprising: A control action is performed based on the preferences associated with the one or more occupants, wherein the control action includes adjusting ambient conditions for the occupants, wherein the ambient conditions include one or more of temperature conditions, light conditions, usage of one or more room areas, and static object conditions within the room.

20. The method according to claim 11, wherein: Determining the visual map associated with the room includes: extracting the information associated with the room based on the reflected signal; generating a virtual model of the room based on a pre-stored configuration of the room and the information associated with the room, the virtual model including representations of the occupants within the room; and The virtual model is displayed on one or more of a user interface associated with the one or more occupants and a user interface of an administrator associated with the room.

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