System and method for continuously and non-intrusively monitoring daily activities of a subject

Abstract

The invention relates to an integrated system and method for continuously and non-intrusively monitoring daily activities of a subject (1), such as an older adult or a person with disabilities, in an establishment (100). The system comprises: one or more sensors configured to detect and measure variables associated with the behaviour and condition of the subject (1), as well as variables relating to the environment of habitable spaces; one or more processing and communication devices (60) in communication with the one or more sensors; a central controller (70) that comprises a data processing module (90) connected to a database (91); and one or more user devices (5) configured to view a graphical user interface (82) supplied by the data processing module (90).

Description

A SYSTEM AND METHOD FOR CONTINUOUSLY AND CONSEQUENTLY MONITORING NON-INTRUSIVE DAILY ACTIVITIES OF A SUBJECT DESCRIPTIVE MEMORY FIELD OF INVENTION

[0001] The present invention relates to Assisted Daily Living (AAL) technologies, which seek to care for the elderly or disabled by generating an intelligent environment with non-invasive and non-intrusive remote monitoring that protects, provides well-being, autonomy and accompaniment at all times to said people, reducing the risks present every day from a preventive perspective, before the health consequences become irremediable. BACKGROUND OF THE INVENTION

[0002] The world's population is progressively aging. In countries like Chile, 18% of the country's population is 60 years of age or older, and this proportion is expected to continue to rise, with projections indicating it could reach 31% of the total population in three more decades. Other entities, such as the Economic Commission for Latin America and the Caribbean (ECLAC), estimate that by 2030, the percentage of this age group will reach 16.4% worldwide.

[0003] Aging is associated with the development of various diseases that progressively deteriorate physical and mental health, causing functional limitations, disability, and dependency. It is known that 80% of the disease burden in adults over 65 corresponds to chronic conditions. Chronic and neurodegenerative diseases generate a decrease in motor skills, preventing older adults, to a greater or lesser extent, from performing certain activities, such as using the telephone, shopping, cooking, using public transportation, taking medications, and handling money. It is estimated that 40% of older adults have suffered a fall, which restricts their daily activities. Furthermore, the decrease in motor skills produces other limitations such as dependency, loss of autonomy, and freedom from relying on others, diminishing the perception of well-being, quality of life, and satisfaction with it.

[0004] Additionally, falls are concerning because they are the leading cause of injury and death in older adults, constituting a global public health problem and the second leading cause of death from unintentional trauma. It should be noted that half of older adults who have fallen are left with injuries that prevent them from getting back up, with life-threatening consequences. including pressure ulcers, osteopenia, loss of muscle mass and subsequent functional impact, dehydration, hypothermia, pneumonia, and death.

[0005] One of the World Health Organization's (WHO) initiatives is the Decade of Healthy Aging (2020-2030), which aims to ensure that cities meet the needs of the aging population by creating friendly physical and social environments. Studies confirm that these environments promote more active states in people, resulting in a better quality of life. This complements the active aging approach declared by the WHO more than two decades ago, understood as the process of making the most of opportunities for physical, mental, and social well-being, promoting the extension of quality of life and life expectancy as long as possible.

[0006] All of the above is framed within the understanding that health is a state of complete physical, mental, and social well-being, and not merely the absence of disease or illness. In this sense, well-being is associated with quality of life, conditions that promote the perception of good living. Therefore, self-sufficient older adults need to be protected so that their state of comfort lasts as long as possible.

[0007] In this context, the current advancement of information technologies and the decline in hardware costs allow us to address the problem of older adults from a preventive rather than a reactive perspective, that is, before the health consequences become irreparable. With this approach, smart homes based on AAL emerge, defined as environments that, using technology, assist people during daily activities by allowing them to respond to their behaviors. The main functions of these smart homes are to serve users with physical disabilities, support people with visual impairments and / or deafness, monitor physiological signs with therapeutic devices, apply assistive therapy, manage smart home devices and equipment, and provide comfort with leisure equipment, interactive communication, and physical activity systems.

[0008] The AAL operates by integrating smart sensors and devices, both portable and ambient, that send information to process and store data to analyze physical and comfort parameters, enabling adjustments based on the older adult's condition. The relevance of these systems lies in their ability to prevent and care for older adults both at home and outside of the home in emergency situations. Likewise, the technology used to control sensors and devices designed to provide comfort and safety to people in living spaces has the ability to understand or learn the activities of their occupants. These environments can be defined as products and services designed to build smart environments for the benefit of older adults, comprised of algorithms (software) and sensors (tools).

[0009] An example of this type of technology is described in patent publication WO 03 / 083800 A1, which proposes an automated tracking and support system for an actor in an environment. The system comprises sensors, effectors, and a controller that receives information from the sensors to monitor at least one of the actors and the environment and to control the operation of the effector based on the monitored information. It also includes a situation evaluator module to determine a situation based on the sensor information, a response planner module to automatically generate a response plan, and a plan executor module to prompt the executor to execute the currently generated response plan.

[0010] Another example is described in patent publication WO 2016 / 057564 A1 , which discloses a system for event-based monitoring of the well-being of a subject within an unattended environment. A plurality of sensors are arranged within the environment to detect disparate events, and an analytical processing portion is coupled to the sensors to collectively acquire detection data therefrom and map a plurality of detected data points to a selected combination of disparate events. The mapping occurs according to a set of preset reference event patterns, relative to which each characterized behavior is analyzed for excessive aberration. The analytical processing portion triggers the generation of a graphical user interface displaying at least one report page containing, for each characterized behavior, certain graphical indicia determined in response to the detection of the behavior.At least one wirelessly coupled monitoring device acts in response to the analysis processing portion to render the graphical user interface directed to a remote monitoring user.

[0011] State-of-the-art systems, such as those disclosed in previous publications, can provide a solution for monitoring, for example, elderly people; however, they face challenges when seeking non-intrusive or invasive implementation, which is an essential requirement and directly related to people's well-being.

[0012] Another drawback of state-of-the-art systems is that they focus on addressing the problems of older adults described above from a purely reactive perspective, neglecting the prevention of risk factors such as falls or other types of accidents, as well as degenerative diseases such as mental, urinary, muscular, and other diseases.

[0013] It is therefore an objective of the present invention to provide a solution to generate protected environments that allow improving the quality of life of the elderly and disabled.

[0014] Another objective of the present invention is to provide a non-intrusive technology that facilitates the care and monitoring of said people 24 / 7 remotely and in real time, without the need for permanent care personnel.

[0015] Another objective of the present invention is to provide a solution that is capable of detecting and preventing risk scenarios for people being cared for, as well as capturing and processing information that contributes to the evaluation and diagnosis of a disease or condition. DESCRIPTION OF THE INVENTION

[0016] The present invention consists of a solution for the continuous, non-intrusive monitoring of the daily activities of a subject, such as an elderly person or a disabled person, in order to detect risk events both inside and outside the home and to alert the subject's support network early through a remote platform, transforming their home into an intelligent environment that cares for and monitors them, thus promoting active, safe and healthy aging that prolongs their autonomy and well-being.

[0017] According to a first aspect of the invention, a system for monitoring the subject in an establishment is proposed, said system comprising: - one or more sensors located in one or more habitable spaces of the establishment, said sensors being configured to detect and measure variables associated with the behavior and condition of the subject, as well as variables related to the environment of the habitable spaces; - one or more actuators in communication with the one or more sensors, said one or more actuators comprising at least: a processor, a memory and a wireless signal transmitter; a central controller in communication with the one or more actuators, said central controller being configured to receive and send data to and from the one or more actuators, respectively, wherein said central controller further comprises a data processing module connected to a database, wherein said one or more sensors are selected from: o nocturia sensors, o actimetry sensors, o fall detection sensors, o environmental variable sensors, o location sensors. - one or more user devices configured to display a graphical user interface fed by the data processing module.

[0018] The proposed system allows continuous and non-intrusive monitoring of the subject's daily activities and detecting risk events or accidents inside and outside the home without use devices that adhere to the body, also avoiding monitoring private activities without authorization.

[0019] According to one embodiment of the invention, the system is configured to detect nocturnal urination events (nocturia) in the subject, which can be associated with symptoms of certain diseases or health conditions. To this end, the nocturia sensors of the proposed system comprise a wireless device that measures the temperature of the liquid present in the toilet. This means that when the toilet is used and the temperature of the liquid rises, the event is recorded.

[0020] In this way, by detecting nocturnal urination events, the proposed system advantageously allows for early identification of the development of certain diseases such as diabetes, infections, kidney problems, and others.

[0021] According to one embodiment of the invention, the actimetry sensors consist of motion sensors arranged in each of the living spaces and are configured to measure the subject's physical activity levels by detecting body movement, thereby allowing for determining activity or rest. Therefore, it is possible to monitor the subject's daily activities based on the time spent in each of the establishment's living spaces, allowing for the detection of behavioral patterns, periods of inactivity, and the preventive identification of risk zones.

[0022] According to a preferred embodiment, the motion sensors are infrared sensors, for example, passive infrared (PIR) type sensors.

[0023] According to one embodiment of the invention, the fall detection sensors comprise thermal sensors for capturing images, which are processed by an algorithm that determines whether the subject is standing or has fallen. This allows one or more users to be alerted of possible falls suffered by the subject.

[0024] According to one embodiment of the invention, the environmental variable sensors are configured to measure selected parameters of: temperature, gas concentration and humidity, allowing one or more users to be notified in real time about emergencies such as leaks or fires and poisoning in the subject's establishment.

[0025] According to one embodiment of the invention, the location sensors are configured to continuously transmit the subject's geographic position when they leave the establishment. These location sensors preferably take the form of a panic button, which also has a mobile phone signal transmitter to notify one or more users of the subject's current location when they press the button.

[0026] According to one embodiment of the invention, the data processing module comprises: a data capture and recording submodule, a notification sending submodule, a data display and presentation submodule, and an alert management submodule.

[0027] The data capture and recording submodule is configured to store in the database the variables measured by one or more sensors.

[0028] The notification sending submodule is configured to send a notification to one or more user devices.

[0029] The data visualization and presentation submodule is configured to generate subject activity maps, environmental variable measurements, subject trajectories, activity variables, reports, graphs, statistics and any other information to be displayed and / or configured on one or more user devices.

[0030] The alert management submodule is configured to send an alert and / or automatically contact an emergency service.

[0031] According to a preferred embodiment, the one or more sensors communicate with the one or more actuators wirelessly, for example, using Wi-Fi, Bluetooth, or other technology. The one or more actuators, in turn, communicate with the central controller via the Internet, for example, via a Wi-Fi router located on the premises.

[0032] Preferably, the central controller is located on a cloud server, whose data is consumed by one or more user devices via the Internet, said devices being selected from: a mobile phone, a laptop or PC, a tablet, among others.

[0033] According to a second aspect of the invention, a method is proposed for continuously and non-intrusively monitoring the daily activities of a subject, such as an elderly adult or a disabled person, in an establishment by means of the integrated system described above. The method comprises the steps of: a. detecting and measuring variables associated with the subject's behavior and condition by means of one or more sensors located in one or more habitable spaces of the establishment; b. detecting and measuring variables related to the environment of the habitable spaces; c. receiving and preprocessing the variables in one or more actuators for generating preprocessed data; d. sending the preprocessed data to a central controller for processing in a processing and storage module in a database; e. presenting the processed data in a graphical user interface consumable on a user device.

[0034] According to one modality, the variables associated with the subject's behavior and condition are selected from: actimetry, nocturia, falls, location, and prolonged inactivity.

[0035] Nocturia is detected by measuring the rise in temperature of a toilet bowl's water using a wireless device submerged in it. Falls are detected by determining the subject's presence through their temperature. This detection involves identifying the subject's skeleton, project the temperature intensity onto a two-dimensional plane and determine the proportion between the support of the intensity projection with respect to a horizontal axis and with respect to a vertical axis of the two-dimensional plane.

[0036] The subject's actimetry is measured using actimetry sensors, which detect the subject's physical activity levels by detecting body movement, thus allowing for determining activity, rest, or prolonged inactivity. The subject's location is determined geographically using location sensors.

[0037] According to one approach, variables related to the environment of living spaces are selected from: environmental conditions, environmental toxicity, alarm activation, intrusion, and accidental door opening.

[0038] One or more variables generate alerts that are notified to the user device or emergency services. According to one embodiment, alerts are generated when the preprocessed variables exceed a threshold set by the central controller. According to another embodiment, alerts are generated when the value of a preprocessed variable meets a condition according to a state set by the central controller.

[0039] BRIEF DESCRIPTION OF THE FIGURES

[0040] As part of the application, the following representative figures of the invention are presented, which show preferred configurations thereof and, therefore, should not be considered as limiting the definition of the claimed subject matter. - Figure 1 illustrates a general scheme of the system of the present invention. - Figure 2 illustrates a diagram of an exemplary emergency protocol in accordance with the system of the present invention. - Figure 3 illustrates the system architecture of the present invention - Figure 4 illustrates an example of a distribution of the sensors of the present system in an establishment - Figure 5 illustrates an example of the operation of the fall detection sensor. DETAILED DESCRIPTION OF THE INVENTION

[0041] According to Figure 1, the integrated system for continuously and non-intrusively monitoring the daily activities of a subject 1 such as an elderly adult, is made up of an establishment 100, which according to Figure 1 corresponds to the subject's home, which generally includes one or more habitable spaces such as bedrooms, kitchen, bathrooms, etc.

[0042] The system comprises various sensors located in the living spaces, which are configured to monitor variables in real time associated with the subject's behavior and condition, as well as variables related to the environment of the living spaces. According to the example illustrated in Figure 1, these variables may be related to the subject's actimetry 101, the subject's nocturia 102, and the environmental conditions 103 of the living space.

[0043] The pre-processed data 111 collected by the different sensors are transmitted and stored by a remote central controller 70, which can generate reports, statistics and graphs to be viewed by different user devices 5 such as mobile phones or laptops of the users, who are usually the subject's relatives 2 or caregivers 3.

[0044] The system also includes the generation of alerts 110 when some sensors detect events or risk situations such as environmental toxicity 104, fall 105 of the subject, activation of alarms 106, intrusion 107 of unauthorized persons, prolonged inactivity 108 or accidental opening of doors 109. These alerts can be sent to family members 2, caregivers 3 and / or emergency services 4 such as the police, firefighters, health centers or others depending on the type of alert based on the sensor that triggers the generation of an alert 110.

[0045] In this way, and according to the example in Figure 2, an assistance protocol can operate so that when an event E triggered by one of the sensors located in the subject's establishment is detected, the system sends a 110 alert to family members, caregivers or an emergency service. In this way, the person who answers call C attempts to contact the subject to find out how he or she is doing.

[0046] In a first scenario, a), if the subject responds and is not experiencing an emergency, this false positive is recorded by the central controller. Otherwise, if the subject does experience an emergency, personnel are dispatched to assist them, and the central controller records the event.

[0047] In a second scenario (b), if the subject does not respond to the call, their contacts (2, 3) are notified, and they can decide whether to accept assistance or go directly. If assistance is requested, emergency personnel come to assist the subject, and the central controller records the event based on their previous choice.

[0048] The technical components of the proposed system will be described below based on the modality illustrated in Figure 3.

[0049] The system may comprise various sensors located in the user's establishment 100. In the illustrated embodiment, these sensors consist of actimetry sensors 10, fall detection sensors 20, environmental variable sensors 30, nocturia sensors 40, and location sensors 50.

[0050] The sensors, which will be described in detail later, comprise a signal transmitter for connecting wirelessly, for example, via Wi-Fi or Bluetooth to one or more actuators 60 located inside the establishment 100. Each of the actuators 60 consists of an electronic board 61 comprising at least one processor 62, a memory, a receiver to connect with the sensors and a signal transmitter to communicate with the central controller 70 of the system, communication that is carried out through an internet network 80 and by means of a router device 63 located inside the establishment 100.

[0051] According to one embodiment of the invention, the system further comprises a voice assistant 55 for listening to and sending alerts issued by the user.

[0052] The central controller 70 consists of a cloud server comprising a data receiving module 71 for receiving the data sent by the actuators, a data transmission module 72 for communicating with the actuators 60 and the different sensors and a processing module 90. This processing module comprises a database 91 and different submodules for processing the data.

[0053] Database 91 stores data from the actuators, as well as information about users registered in the system, configurations, event logs, among others.

[0054] A first data capture and recording submodule 92 comprises algorithms that store the data from the sensors in the database 91. For its part, a notification sending submodule 93 comprises algorithms that process the data from those sensors configured to generate alerts, in order to send notifications to the users registered in the database.

[0055] A data display and presentation submodule 94 comprises algorithms for displaying information based on the stored data, comprising a presentation submodule 96 for generating and presenting reports, graphs and statistics, which can be displayed in a mobile or web graphical user interface 82, consumable by the different user devices 5.

[0056] Finally, an alert management submodule 95 comprises algorithms to manage and record alerts associated with events or situations of risk to the subject and send them to users and emergency services.

[0057] According to the example illustrated in Figure 4, the actimetry sensors are configured as a network of infrared motion sensors 10 located in each of the rooms of the subject's establishment and in communication with an actuator 60 connected to an electrical outlet. The motion sensors 10 react only to certain energy sources such as human body heat, receiving the variation in infrared radiation from the environment it covers and detecting the difference between the heat emitted by the human body and the space around it.

[0058] For its part, the actuator 60 receives the information detected by the motion sensors 10, and with this information, the system is able to detect the path the subject took within the establishment's rooms. Using these paths and the times at which they were taken, the actuator 60 can determine the activity the person performed.

[0059] Using this feature, the user can configure and activate different statuses in the graphical interface. For example, a "Home" status and an "Away" status allow for the generation of two types of alerts. The first alert, an inactivity alert, is sent when "Home" mode is activated and no motion is detected in any room for, say, 8 hours. A second intrusion alert can be generated when "Away" mode is active, sending an alert when motion is detected inside the establishment.

[0060] Continuing with Figure 4, environmental variables sensors are located in the rooms where these types of variables are to be monitored. In the example, an environmental variables sensor 30 is placed in the kitchen, preferably near a gas outlet. The environmental variables sensor allows for the detection of variables such as temperature, gas, and humidity.

[0061] The actuator 60, by continuously reading the environmental variables captured by the environmental variables sensor 30, is capable of detecting when a parameter has exceeded a threshold previously established and configured in the system's central controller. For example, for the humidity variable, the threshold is exceeded when the value is below 30% (which can cause dry eyes and less efficient mucociliary clearance in the respiratory tract) or above 70% (causing discomfort and the proliferation of mold and fungi inside the establishment).

[0062] For the temperature variable, the threshold is exceeded, for example, when the value is less than 5 °C (low temperatures increase the risk of cardiovascular and respiratory diseases) or greater than 35 °C (high temperatures increase the risk of non-specific acute symptoms, for example, dry eyes and respiratory symptoms, difficulty breathing, accelerated insulin absorption and slow walking speed in older people).

[0063] For the gas presence variable, the threshold is exceeded if, for example, the Lower Explosive Limit (LEL) is greater than 6%.

[0064] When the actuator 60 detects values ​​outside the defined thresholds, it sends a signal to the central controller, which notifies users that the subject may be in danger or at risk of suffering a health problem, so that they can go to assist them in a timely manner.

[0065] Continuing with Figure 4, a nocturia sensor 40 is installed in a toilet in the establishment. This sensor consists of a stainless steel electrode composed of two separate plates submerged in water. The electrodes continuously capture the conductivity of the water, which presents a constant electric current circulating in the environment. and a voltage that is proportional to the water's impedance. An increase in the water's impedance detects a urination event, and then when the toilet is flushed, the current returns to the ambient constant.

[0066] The increase in water impedance (urination event) is detected by the actuator 60, such that the event is recorded in the central controller's database, allowing alerts or reports to be generated for the user that identify, for example, an increase in the subject's urination frequency, which could be associated with a health problem.

[0067] Returning to Figure 4, it can be seen that the fall detection sensors 20 are arranged in each of the establishment's rooms and consist of thermal sensors 20 that have a 32x24 pixel thermal array that withstand temperatures ranging from -40 to 85°C and cover a space of 7 meters. Therefore, the thermal sensors determine the subject's presence through temperature detection.

[0068] As can be seen in Figure 5, the sensors operate by identifying the skeleton 21 of the objects by applying successive openings and using image libraries 22. When the actuator detects the skeleton 21 of the subject, intensity is projected onto a two-dimensional plane 23 and a fall is considered in cases where the projections on the horizontal axis have greater support than the projections on the vertical axis.

[0069] Once the fall is detected, the actuator sends a signal to the central controller, which processes it and sends an alert to users based on the safety protocols defined in the system to rescue the fallen subject.

Claims

CLAIMS 1. An integrated system for continuously and non-intrusively monitoring daily activities of a subject (1) such as an elderly person or a disabled person in an establishment (100), CHARACTERIZED in that the system comprises: - one or more sensors located in one or more habitable spaces of the establishment (100), said sensors being configured to detect and measure variables associated with the behavior and condition of the subject (1), as well as variables related to the environment of the habitable spaces; - one or more actuators (60) in communication with the one or more sensors, said one or more actuators (60) comprising at least: a processor, a memory, a receiver and a wireless signal transmitter; a central controller (70) in communication with the one or more actuators (60), said central controller (70) being configured to receive and send data to and from the one or more actuators (60), respectively, wherein said central controller (70) further comprises a data processing module (90) connected to a database (91), wherein said one or more sensors are selected from: o nocturia sensors (40), o actimetry sensors (10), o fall detection sensors (20), o environmental variable sensors (30), or location sensors (50). - one or more user devices (5) configured to display a graphical user interface (82) fed by the data processing module (90).

2. The system according to claim 1, CHARACTERIZED in that the nocturia sensors (40) comprise a wireless device configured to measure the temperature of the liquid present in a toilet.

3. The system according to claim 1 or 2, CHARACTERIZED in that the actimetry sensors (10) consist of motion sensors arranged in each of the habitable spaces and which are configured to detect the movement or presence of the subject (1) in the respective space.

4. The system according to claim 3, CHARACTERIZED in that the motion sensors (10) are of the infrared type.

5. The system according to any of the preceding claims, CHARACTERIZED in that the fall detection sensors (20) comprise thermal sensors for capturing images, which are processed with an algorithm that determines whether the subject (1) is standing or has suffered a fall.

6. The system according to any of the preceding claims, CHARACTERIZED in that the environmental variable sensors (30) are configured to measure selected parameters of: temperature, gas concentration and humidity.

7. The system according to any of the preceding claims, CHARACTERIZED in that the location sensors (50) are configured to continuously send the geographic position of the subject (1) and have the form of a panic button, further comprising a mobile telephone signal transmitter.

8. The system according to any of the preceding claims, CHARACTERIZED in that the data processing module (90) further comprises: a data capture and recording submodule (92); a notification sending submodule (93); a data display and presentation submodule (94); an alert management submodule (95); 9. The system according to claim 8, CHARACTERIZED in that the data capture and recording submodule (92) is configured to store in the database (91) the variables measured by the one or more sensors.

10. The system according to claim 8 or 9, CHARACTERIZED in that the notification sending submodule (93) is configured to send a notification to the one or more user devices (5).

11. The system according to any of claims 8 or 10, CHARACTERIZED in that the data visualization and presentation submodule (94) is configured to generate activity maps of the subject (1), measurements of environmental variables, trajectories of the subject (1), activity variables, reports, graphs, statistics, among others.

12. The system according to any of the preceding claims, CHARACTERIZED in that the one or more sensors are connected to the one or more actuators (60) wirelessly.

13. The system according to any of the preceding claims, CHARACTERIZED in that the one or more actuators (60) are connected to the central controller (70) via the Internet.

14. The system according to any of the preceding claims, CHARACTERIZED because the central controller (70) is located on a cloud server.

15. The system according to any of the preceding claims, CHARACTERIZED because the one or more user devices (5) are selected from: a mobile phone, a laptop or PC, a Tablet, among others.

16. A method for continuously and non-intrusively monitoring daily activities of a subject (1) such as an elderly person or a disabled person in an establishment (100) by means of an integrated system according to any one of claims 1 to 15, CHARACTERIZED in that the method comprises the steps of: a. detecting and measuring variables associated with the behavior and condition of the subject (1) by means of one or more sensors located in one or more habitable spaces of the establishment (100); b. detecting and measuring variables related to the environment of the habitable spaces; c. receiving and preprocessing the variables in one or more actuators (60) for the generation of preprocessed data (111); d. sending the preprocessed data (111) to a central controller (70) for processing in a processing module (90) and storage in a database (91); e.presenting the processed data in a graphical user interface (82) consumable on a user device (5).

17. The method according to claim 16, CHARACTERIZED in that the variables associated with the behavior and condition of the subject (1) are selected from: actimetry (101), nocturia (102), fall (105), location and prolonged inactivity (108).

18. The method according to claim 17, CHARACTERIZED in that nocturia (101) is detected by measuring the increase in the temperature of the water in a toilet by means of a wireless device immersed therein.

19. The method according to claim 17 or 18, CHARACTERIZED in that the fall (105) is detected by determining the presence of the subject (1) through its temperature.

20. The method according to claim 19, CHARACTERIZED comprises identifying the skeleton (21) of the subject (1); projecting the temperature intensity onto a two-dimensional plane (23); and determining the ratio of the intensity projection support to a horizontal axis and to a vertical axis of the two-dimensional plane (23).

21. The method according to any of claims 16 to 20, CHARACTERIZED in that the variables related to the environment of the habitable spaces are selected from: environmental conditions (103), environmental toxicity (104), alarm activation (106), intrusion (107) and accidental opening of doors (109).

22. The method according to any of claims 16 to 21, CHARACTERIZED in that one or more variables generate alerts (110) that are notified on the user device (5) or in emergency services (4).

23. The method according to any of claims 16 to 22, CHARACTERIZED in that the alerts (110) are generated when the preprocessed variables exceed a threshold established by the central controller (70).

24. The method according to any of claims 16 to 22, CHARACTERIZED in that the alerts (110) are generated when the value of a preprocessed variable meets a condition according to a state established by the central controller (70).

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