Fall detection and prevention system

Abstract

The utility model provides a fall detection and prevention system. The system comprises: one or more sensors strategically positioned to cover the entire monitoring area, for monitoring objects in the indoor environment in real time, and collecting sensor data necessary for fall detection; one or more processors responsible for processing the data collected by the sensors in real time, implementing a fall detection and prevention algorithm to analyze a pattern associated with a fall, and generating a necessary response; and a communication module configured to trigger a necessary response in response to the detected fall. According to the system, the safety and health of individuals in the indoor environment can be ensured by using basic facilities such as a ceiling fan and the like and a radar technology. The integrated system and method combine technical innovation and user-friendly functions, can effectively detect and prevent tumble, and ensures that a safer environment is provided for high-risk patients, old people and rehabilitation periods.

Description

TECHNICAL FIELD

[0001] The present utility model relates to a monitoring system, more particularly to a fall detection and prevention system. BACKGROUND

[0002] Falls, especially for vulnerable groups such as the elderly or people with health problems, can result in serious injuries.

[0003] Traditional fall detection systems often rely on uncomfortable wearable devices, facing challenges from user non-compliance to limitations in monitoring bedridden individuals.

[0004] In addition, camera-based fall detection systems, although promising, have obstacles such as privacy issues, and are not suitable for application in private areas such as bedrooms, bathrooms, and toilets.

[0005] The following are the challenges of the prior art:

[0006] a) Limitations of wearable devices: Traditional fall detection systems that rely on wearable devices can make bedridden individuals feel uncomfortable, forgotten, or not used at all, leaving a serious monitoring gap.

[0007] b) Privacy issues of camera-based systems: Camera-based fall detection systems using computer vision face challenges related to privacy issues. In addition, it is still impractical to install visual fall detection sensors in private areas such as bedrooms, bathrooms, and toilets. People are increasingly concerned about closed-circuit television systems invading public privacy, and require alternative sensor technologies that do not invade privacy issues.

[0008] c) Monitoring bedridden patients: In hospitals, rehabilitation centers, chronic disease wards, and resident physicians, it is very necessary to monitor bedridden patients, whether they are restricted from getting out of bed alone or allowed limited bed activity.

[0009] d) Fall detection in private spaces: Bathrooms, shower rooms, and toilets are key areas where falls often occur, and traditional camera-based sensors are not practical.

[0010] e) Alarm system for caregivers and remote patient monitoring system (RPM): It is necessary to alert nearby caregivers or remote patient monitoring systems in a timely manner, especially in scenarios such as home hospitalization, intensive care units, geriatric wards, hospitals, or rehabilitation centers.

[0011] f) Monitoring of public areas in homes for the elderly: In addition to individual monitoring, it is necessary to monitor public areas in homes for the elderly to ensure the safety of all elderly residents, including those without wearable fall detection devices, while not compromising the privacy of residents.

[0012] Falls, especially in elderly people or individuals with certain health conditions, can result in serious injuries. Conventional fall detection systems often rely on wearable devices, which can be uncomfortable for bedridden people, not worn, forgotten in a drawer or not used at all. Utility content

[0013] The technical problem solved by the utility model:

[0014] A fall detection and prevention system is provided to address these outstanding problems in the prior art to ensure a more reliable and user-friendly method to detect and prevent falls in the subject.

[0015] The utility model discloses a novel method for fall detection and prevention in indoor environment for home, hospital, rehabilitation center, old people's home and the like, specifically utilizes ceiling fan infrastructure and radar technology. By utilizing the strategic overhead position of ceiling fan and excellent radar overhead coverage, the system aims to overcome the limitations of existing fall detection solutions. The utility model aims to solve the safety problem of individuals at risk of falling, especially in bed and around and private areas such as bathroom, toilet and bedroom.

[0016] The utility model aims to provide a non-invasive, reliable and privacy-focused alternative. In fact, the ceiling fan is equipped with strategically placed radar sensors that can continuously emit and analyze signals within their range. These sensors form the backbone of complex fall prevention and detection algorithms embedded in the system's microcontroller or processing unit. The algorithm processes radar data in real time, identifying patterns that indicate potential falls and actual falls. Careful calibration of sensitivity levels and thresholds ensures that the system can distinguish between routine movements and real fall events

[0017] The technical scheme adopted to solve the above technical problems is:

[0018] The utility model provides a fall detection and prevention system including one or more sensors strategically positioned to cover the entire monitoring area for real-time monitoring of objects in the indoor environment and collecting data necessary for fall detection; one or more processors responsible for real-time processing of data collected by sensors to analyze patterns related to falls and generate necessary responses; and a communication module configured to trigger necessary responses in response to detected falls.

[0019] Preferably, the sensors include radar sensors.

[0020] In some embodiments, the system is provided in or near an indoor device; the radar sensor is used to monitor events including: when a person gets up or stands on the bed; or, when a person falls unfortunately; or, if a person leaves the bed area; the processor implements a fall detection and prevention algorithm to determine the relevant state of a person falling, including: getting up or climbing over the side rail or standing or walking or crossing a virtual boundary, generating the necessary response accordingly, including an alarm or intervention or notification.

[0021] In some embodiments, the system is integrated into the indoor device; the radar sensor is integrated into the indoor device in one of the following forms:

[0022] The radar sensor is an inherent component of the electronic design of the indoor device and is an integral part of the overall electronic design; or, the radar sensor is a separate unit adjacent to and connected to the indoor device.

[0023] In some embodiments, the system further comprises a control component of the indoor device, the processor is directly integrated into the control component of the indoor device and / or integrated into a printed circuit; the processor is communicatively connected with the control component of the indoor device; the control component of the indoor device serves as a central interface for communication with the radar sensor; the control component of the indoor device controls the indoor device according to the instructions issued by the processor.

[0024] In some embodiments, the indoor device includes one or more of a ceiling fan, a lighting device, a mirror, or an air conditioning unit.

[0025] In some embodiments, the system is integrated into a separate radar device with complete functions.

[0026] In some embodiments, the radar sensor is externally provided with a radar antenna cover, which is suitable for the design and configuration of the indoor device and is seamlessly integrated into the design of the indoor device; the radar antenna cover is transparent to radar signals, allowing radar waves to pass without distortion or interference.

[0027] In some embodiments, the radar sensor includes a radar on chip (ROC); the processor includes an artificial intelligence (AI) processor; the AI processor processes radar data to classify and understand the behavior and state of a person, and uses artificial intelligence algorithms to identify potential and actual fall detection.

[0028] In some embodiments, the system is connected to cloud services and / or local edge devices through wired or wireless networks to provide flexibility in data management; the system interacts with mobile device applications to allow users to monitor the system's data through mobile devices, and / or receive alerts or notifications, and / or make adjustments to settings.

[0029] In some embodiments, the system further comprises an event logging unit to record events and data generated by the system; the system further comprises an on-board antenna to enhance the communication capabilities of the system.

[0030] In some embodiments, the radar sensor comprises a dual radar system for enhanced reliability, enabling cross-verification of fall events between radar sensors to reduce the likelihood of false positives.

[0031] In some embodiments, the communication module employs wireless communication protocols to enable seamless integration of the system with smartphones or monitoring devices.

[0032] In some embodiments, the system further comprises a power supply unit for powering the radar sensor, control components, and communication module; the power supply unit incorporates energy-saving components to optimize power consumption.

[0033] In some embodiments, the processor implements a fall detection and prevention algorithm with adjustable sensitivity levels and thresholds to fine-tune parameters and minimize false positives.

[0034] The processor implements a fall detection and prevention algorithm that includes sudden changes in center of gravity height and irregular motion patterns, including individuals climbing over side rails or standing on beds.

[0035] The processor processes radar data for various applications, including assessing safety levels and potential falls, and implementing response measures.

[0036] In some embodiments, the processor cooperates with the communication module to seamlessly trigger alarms; the system is configured with an alarm system, and the processor controls the communication module to activate the alarm system upon detecting events such as a person falling, a likelihood of falling, or crossing a virtual boundary, immediately sending notifications to designated personnel.

[0037] In some embodiments, the system further comprises a user interface for configuration, parameter adjustment, monitoring of fall detection events, and receiving alerts or notifications; the processor connects to the user interface through the communication module.

[0038] In some embodiments, the user interface includes a visual feedback component; the user interface is provided on an indoor device; the user interface is connected to a central monitoring system for alerting staff and activating response procedures.

[0039] The utility model also provides a fall detection and prevention method, comprising the following steps:

[0040] Continuously monitoring individuals in the indoor environment in real time and obtaining radar data necessary for human fall detection from one or more strategically positioned sensors;

[0041] Processing the radar data in real time;

[0042] Implementing a fall detection algorithm with adjustable sensitivity levels and thresholds to analyze patterns related to falls;

[0043] Determining potential fall incidents based on the processed data;

[0044] Triggering an alarm system within the communication module upon detecting and optionally confirming a fall; and

[0045] Sending notifications to designated personnel in a timely manner.

[0046] In some embodiments, the method is performed using the system as described above.

[0047] In some embodiments, the method further comprises:

[0048] Post-fall monitoring, which involves continuously observing the health status of the individual after a fall incident occurs, providing continuous monitoring and additional notifications when needed, thereby ensuring continuous safety and care.

[0049] In some embodiments, when a potential fall is detected, such as a person lying on a bed climbing over a guardrail or even standing up on the bed, a ceiling fan as part of the anti-fall mechanism responds in real time and sends a corresponding alarm.

[0050] The system of the utility model can integrate a communication module for sending alarms for notifications to designated smartphones or central monitoring systems. The user interface allows easy configuration, parameter adjustment, and fall detection incident monitoring. The power management system is optimized for power, ensuring long-term reliability while minimizing energy consumption.

[0051] The radar module and interface proposed by the utility model can be integrated in other similar indoor devices, including lighting devices, light bulbs, mirrors, and air conditioning devices.

[0052] The radar module and interface proposed by the utility model can be integrated in a standalone radar device with complete functions.

[0053] The utility model has the beneficial effects of:

[0054] The fall detection and prevention system and method of the utility model combine technical innovation and user-friendly functions, can effectively detect and prevent falls, and ensure to provide safer environment for high-risk patients, the elderly or objects during rehabilitation.

[0055] The summary of the utility model content does not necessarily disclose all the features necessary to define the utility model. The utility model can exist in the sub-combinations of the disclosed features. Various combinations and sub-combinations are fully described in the detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0056] The accompanying drawings provide a further understanding of the utility model and are incorporated in and constitute a part of the specification, illustrate the exemplary embodiments of the utility model and serve to explain the principle of the utility model together with the description.

[0057] The drawings are for illustrative purposes only and are not a limitation on the utility model, wherein:

[0058] Figure 1 A ceiling fan with radar-based sensors for fall detection of a preferred embodiment of the utility model is shown.

[0059] Figure 2 A block diagram of a ceiling fan with radar-based sensors for fall detection of a preferred embodiment of the utility model is shown.

[0060] Figure 3 An example of a fall detection and prevention system of a preferred embodiment of the utility model is shown.

[0061] Figure 4 An example of a virtual boundary alert of a preferred embodiment of the utility model is shown.

[0062] Figure 5 A system architecture for monitoring and fall detection of a preferred embodiment of the utility model is shown.

[0063] Figure 6 A flowchart for monitoring and fall detection of a preferred embodiment of the utility model is shown. DETAILED DESCRIPTION

[0064] The detailed description of the utility model embodiments is combined with the drawings below. The embodiments are described in such detail that the utility model can be clearly described. However, the detailed description provided is not intended to limit the expected variations of the embodiments; on the contrary, all modifications, equivalents and alternatives falling within the spirit and scope of the utility model should be covered.

[0065] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present application. It will be apparent, however, to one skilled in the art that the embodiments of the present application can be practiced without some or all of these specific details.

[0066] Various terms used herein are set forth as follows. In terms of the terms used, the broadest definition given by those of ordinary skill in the relevant art should be given to the terms as reflected in the printed publications or issued patents at the time of submission.

[0067] The present application provides a fall detection and prevention system and method that can utilize infrastructure such as ceiling fans and radar technology to ensure the safety and wellbeing of individuals in indoor environments. The fall detection and prevention system (hereinafter referred to as the system or the system) employs strategically positioned radar sensors on ceiling fans, which continuously acquire and process real-time data through a microcontroller or processor. The system employs intelligent fall detection and prevention algorithms with adjustable sensitivity levels and thresholds that can accurately identify potential fall events. The system can be integrated into ceiling fans or other similar indoor devices, including lighting fixtures, light bulbs, mirrors, and air conditioning units with full functionality. The system can also be integrated into standalone radar devices with full functionality, which can be combined or connected with indoor appliances. The system can optionally employ dual radar functionality to enhance reliability through cross-validation and reduce false positives. When a fall is confirmed, the system triggers an alarm system within its communication module to immediately notify designated recipients. The system can also employ a user interface to allow configuration, monitoring, and visual feedback. The fall detection and prevention system and method of the present application combine technological innovation and user-friendly features to effectively detect and prevent falls, ensuring a safer environment for high-risk patients, the elderly, and individuals during rehabilitation.

[0068] The fall detection and prevention system of the present application can be integrated into ceiling fans or other similar indoor electronic devices. Indoor devices incorporating the system include lighting fixtures, light bulbs, mirrors, and air conditioning units with full functionality. The system can also be integrated into standalone radar devices with full functionality. Radar modules or on-chip radars on any indoor electronic device can provide similar functionality, which provides compatibility of the present application with existing electronic devices or appliances.

[0069] Furthermore, by integrating radar technology into the existing infrastructure of a ceiling fan, the solution of the present invention aims to improve the safety and wellbeing of individuals at risk of falling. The fall detection and prevention system of the present invention addresses the shortcomings of the prior art, providing a comprehensive, user-friendly and privacy-focused approach to fall detection in comfortable home, hospital and similar care center environments. Comprehensive testing and adherence to safety standards are crucial to ensure the effectiveness and ethical implementation of this groundbreaking invention. The innovation can detect critical events such as:

[0070] a) when a person gets up or stands on the bed, which is necessary to prevent falls;

[0071] b) in the unfortunate event of a person falling, the system can detect this situation in time and alert the caregiver or medical staff;

[0072] c) if a person leaves the bed area, the system can generate an alert to ensure the safety of vulnerable individuals, such as chronically ill, dementia patients or the elderly;

[0073] An artificial intelligence (AI) based processing assistance system processes the radar data and determines falls and other patterns;

[0074] The AI engine assisted prediction module can also predict the likelihood of a fall event by continuously monitoring one or more persons.

[0075] Figure 1 A fall detection and prevention system 100 of the preferred embodiment of the present invention is shown, which includes a ceiling fan with radar-based sensors for fall detection. The system 100 includes a radar module, a processor, and a communication module.

[0076] In the fall detection and prevention system of the present invention, a person 101 in the room is continuously monitored by using a radar module (radar sensor) installed inside a ceiling fan 102. The ceiling fan control assembly 103 serves as a central interface for communication with the radar module. This communication can collect comprehensive data related to the presence, posture, and movement of the person. The collected data is then processed and can be used for various applications, including assessing the safety level and potential falls, and implementing response measures. The radar module is integrated within the ceiling fan, ensuring an unobtrusive and effective method to monitor individuals and improve their safety and wellbeing.

[0077] Figure 2A component block diagram (200) of a ceiling fan with radar-based sensors for a fall detection or prevention system is shown. More specifically, the system 100 includes a power unit 212, a ceiling fan 202 and assembly, radar sensors 204, a processor 206, a fall detection algorithm 208, and an alarm system 210, the fall detection algorithm 208 is configured on the processor 206.

[0078] The ceiling fan 202 and its assembly are powered by the power unit 212. The power unit provides a stable, continuous power supply to the radar sensors, the (micro)controller, and the communication module. Energy-saving operation modes can be adopted to optimize power consumption, enhance the sustainability and reliability of the system.

[0079] Radar sensors 204: Multiple radar sensors are strategically positioned inside or adjacent to the ceiling fan 202 to ensure comprehensive coverage of the monitoring area. These sensors continuously emit and analyze signals, detect motion, and capture the data required for fall detection.

[0080] Processor 206: As the core processing unit, it controls and coordinates the operation of the radar sensors and the fall detection algorithm; it serves as the brain of the system, facilitating real-time data processing and decision-making. The processor 206 can be a microprocessor or microcontroller, which serves as a data processing unit.

[0081] Fall detection algorithm 208: The processor processes radar data in real-time, implementing a complex fall detection algorithm. This algorithm analyzes patterns related to falls, and the fall detection algorithm can be based on sudden changes in center of gravity height and irregular motion patterns (such as a person climbing over a side rail or standing on a bed), among other factors. The system has adjustable sensitivity levels and thresholds, allowing for flexible parameter tuning and minimizing false alarms. The processor also cooperates with the communication module to seamlessly trigger alarms.

[0082] Alarm system 210: When the radar sensors 204 detect a fall, the possibility of a fall, or a situation where a virtual fence is crossed, the communication module activates the alarm system. It promptly sends notifications to designated recipients (such as caregivers, family members, or emergency services), ensuring a quick response to potential dangers or emergencies. The system can also include a user interface that the communication module can facilitate to allow individuals to configure system settings, monitor fall events, and receive alarms. The user interface can include visual feedback elements, such as LED indicators or display panels on the ceiling fan, to enhance user interaction and awareness. The interface can also be connected to a central monitoring system for staff alert and response program activation.

[0083] Moreover, the system integrates wireless communication protocols (communication module), such as Bluetooth, Wi-Fi or other related standards. This enables seamless communication between the system integrated in the ceiling fan and external devices, including smartphones or central monitoring units. The use of wireless communication protocols ensures efficient integration, data exchange and compatibility with various monitoring devices.

[0084] In the context of fall detection, especially for couples or elderly people sharing a bed, radar systems, whether single or multiple, play a crucial role in enhancing safety and reliability. In addition to embodiments with a single radar, the system can employ a dual radar system designed specifically for fall detection, a technology capable of distinguishing movements with extremely high precision. This personalized monitoring capability is essential for assessing the health and well-being of each individual independently, ensuring a comprehensive approach to fall prevention.

[0085] Dual radar systems operate in tandem to cross-verify detected fall events, significantly reducing the likelihood of false alarms. For example, if one radar detects a fall event, the other radar can independently confirm the occurrence of the event, resulting in a more reliable and accurate alarm. This cross-verification mechanism is particularly important in scenarios involving couples or elderly people, where an additional layer of safety is crucial. Furthermore, each radar unit within the system can focus on a specific area or individual, allowing for detailed tracking and analysis. This targeted approach enhances the system's ability to personalize fall detection, ensuring accurate capture and assessment of unique movement patterns.

[0086] The use of multiple radars not only provides granularity in monitoring but also introduces redundancy, thereby enhancing the overall reliability of the fall detection system. In addition to radar technology, the system of the present invention allows for the integration of various other sensors and technologies specifically designed for fall detection. These additional sensors are equipped with advanced processing and communication capabilities, contributing to comprehensive surveillance and monitoring. By seamlessly collecting, processing and transmitting data, the system ensures an effective and comprehensive approach to fall detection, thereby improving the safety and well-being of individuals requiring personalized monitoring.

[0087] Processing of fall-related states: The fall detection and prevention system of the present invention is configured to detect and process fall-related states, such as:

[0088] Getting out of bed: The system can determine when an individual gets out of bed, which is crucial for preventing falls;

[0089] Climbing over the guardrail, or standing up in a hospital bed: Hospital beds often have guardrails to prevent patients from inadvertently getting out of bed. Detecting someone trying to climb out of bed is the first indication of a potential fall-related event;

[0090] Standing: Recognizing when a person is standing is important for assessing mobility and activity level;

[0091] Walking: The system can detect walking, which is important for understanding the individual's movement, level of movement, and direction;

[0092] Fall detection and alarm: In the event of a fall, the system immediately detects the fall and generates an alarm, this fast response is crucial for providing timely assistance;

[0093] Crossing virtual boundary alarm: When an individual crosses a virtual boundary, such as leaving the bed area, the system can create an alarm, this feature enhances the safety and security of users or elderly people.

[0094] Radar module integration: In the specific design, the fall detection and prevention system of the present utility model incorporates an on-chip radar (ROC) sensor module, called "radar module", which is integrated into a ceiling fan or other device, enhancing the functionality of the system; Integration can take one of the following two forms:

[0095] As an inherent component of the electronic design of the device: In this configuration, the ROC sensor module is an integrated and built-in part of the electronic design of the indoor electronic device, which means it is seamlessly integrated during the manufacturing process and becomes an inherent feature of the device;

[0096] Independent unit connected to adjacent device: Alternatively, the ROC sensor module can be an independent unit adjacent to the indoor electronic device and connected to the device, this configuration allows flexible installation and positioning, as the radar module can be connected to the indoor electronic device or placed nearby to optimize monitoring coverage.

[0097] The ROC sensor module is essential for high-precision motion and presence detection, which emits millimeter wave signals and analyzes reflections, providing detailed information about the individual's position and movement, the integration of radar technology significantly enhances the monitoring capabilities of the system. The ROC sensor module (radar module) can even detect subtle movements and changes in the monitored area. The radar module helps with occupancy detection and tracking, which is particularly valuable for understanding the presence and activity of individuals in the bed area. The radar module helps with fall detection, which can detect falls with high precision, enabling fast response and assistance.

[0098] In another embodiment, the fall detection and prevention system of the present application employs a user interface that enables the individual to configure settings, monitor falls, and receive alerts, examples of which can provide visual feedback through a user interface such as an LED indicator or display panel. A ceiling fan control mechanism is activated, providing an alert mechanism option. After a fall event is detected and the necessary response is triggered, the system continues to proactively observe the health of the faller, and this post-fall monitoring involves a sustained monitoring process that enables the fall detection and prevention system of the present application to assess the individual's condition over time, and if any further issues or abnormalities are found during this monitoring phase, the system will initiate additional notifications. This functionality ensures that in addition to reacting immediately to a fall, long-term, holistic safety and care is provided, contributing to a more comprehensive and sustained approach to safeguarding the individual's well-being.

[0099] Figure 3 An example of the fall detection and prevention system 300 of the preferred embodiment of the present application is shown. In one embodiment, the operation of this innovative system is a multi-faceted process designed to enhance the safety and well-being of an individual, particularly in a bedroom or healthcare setting. The ceiling fan 301 serves as the central hub, integrating advanced sensor technology, one of whose primary functions is to monitor the individual or patient 304. The integrated sensors of the system 300, including radar technology, continuously track the individual's activities. When a fall is detected, the system responds immediately, triggering an alarm or intervention to ensure the safety of the person. The radar module with transmitting and receiving echoes 303, 302 plays a key role in this process, monitoring the environment and the person's activities. The radar module transmits real-time data to other components within the system. The radar module is critical to the fall detection and safety functionality, as it helps identify situations of sudden changes in the Center of Gravity (COG) height and other potential fall situations. If a fall or any safety issue occurs, the system can immediately send an alert to caregivers or medical professionals. This functionality ensures that the individual is closely monitored, prioritizing their well-being, and providing timely assistance when needed, making it a comprehensive and important solution for enhancing safety and healthcare in various settings.

[0100] Figure 4An example of the fall detection and prevention system of the preferred embodiment of the present utility model, i.e. the virtual boundary alert in the fall detection and prevention system 400, is shown. The function of this system revolves around ensuring the safety and well-being of a person or patient 403 within a designated area. The ceiling fan 401 acts as a central hub, integrating advanced sensors and technology, including a radar module. The radar module uses echoes 402 to continuously monitor the movements of the person, paying particular attention to their location and movements within predefined areas around the bed. These areas are defined to maintain the safety of the individual. When a virtual boundary 404 within these predefined areas is detected to be crossed by the subject, the system immediately generates an alert. These alerts can be quickly communicated to nursing staff or medical professionals, enabling a quick response to address the situation and ensure that the person remains within the designated safe area, prioritizing their safety and well-being.

[0101] Figure 5 The architecture of the system 500 for monitoring falls and potential incidents of the fall detection and prevention system of the preferred embodiment of the present utility model is shown, the outlined architecture includes various components (or modules) and their functions, creating a comprehensive system for monitoring and enhancing indoor environments. Detailed information about each component is introduced below:

[0102] Radar module 501: This module is responsible for radar-based detection, it emits radar signals and captures their reflected signals to detect and track the presence and activity of individuals within the monitored area;

[0103] On-chip radar (ROC) 502: This component is a specialized radar technology called on-chip radar (ROC), which plays a key role in precise motion detection and presence sensing, ROC processes radar data and extracts valuable information reflecting the position and movement of objects within its coverage area;

[0104] AI processor 503: The AI (Artificial Intelligence) processor is the core component of data analysis, it processes the data collected by the radar module and ROC to classify and understand the behavior and status of individuals, it can use artificial intelligence algorithms to identify potential and actual fall detection;

[0105] Event logging unit 504: This function records the events and data generated by the system, it can maintain logs of fall prevention alerts and other significant events, event logging is valuable for future reference, analysis and improving system performance;

[0106] Communication and power control module 505: The communication and power control module manages the communication and power aspects of the system, it ensures the effective transmission of data and alerts and manages the power resources of the radar module;

[0107] Onboard Antenna 506: Onboard antenna is an optional component of the system, used to enhance the communication capabilities of the system, to improve signal transmission and reception;

[0108] Ceiling Fan Control Component 507: Ceiling fan control component controls the ceiling fan according to the instructions of the AI processor;

[0109] Mobile Device Application 508: This component represents the user interface for interacting with the system, the mobile device application allows the user to monitor system data, receive alerts and make adjustments to settings, it provides a convenient way for caregivers or individuals to stay informed and control the system;

[0110] Cloud / Local Edge Device 509: This component provides flexibility in data management, it allows data to be processed and stored either on a local edge device or in the cloud, local edge processing provides real-time monitoring and immediate action, while cloud storage provides long-term data analysis and remote access.

[0111] Figure 6 A flowchart 600 is shown that illustrates the process of the fall detection and prevention system of the preferred embodiment for monitoring fall detection and prevention scenarios. This flowchart outlines the operational steps of the method executed by the system designed specifically for monitoring and enhancing indoor environments. Detailed information for each step involved is provided below:

[0112] Step 601, Sensor Detection: This stage represents the initial step in the process, sensors (which can include radar or other technologies) detect the presence of a person in the monitored area, the sensors collect data about the person's posture, movements, transitions, center of gravity, activity level and balance;

[0113] Step 602, Fall Prevention and Detection (FPD): To ensure safety, the system employs a fall prevention and detection algorithm that can detect if a person gets up or tries to climb over a barrier, or stands up from a hospital bed, thus signaling a fall risk, this is particularly important in healthcare environments where patient safety is a priority;

[0114] Step 603, Delay d seconds: This step introduces a delay of a certain number of seconds, which can be a user-defined parameter, the delay is to enable a continuous preset time to sample the current state / circumstances of the person in his / her environment, after each delay, the algorithm of the FPD of step 602 will be executed and any detected events will be reported to the communication module, this delay can be used to address temporary, expected interruptions in monitoring, ensuring that events are not triggered prematurely;

[0115] Step 604, logging events (optional step): Optionally, the system can log the detected events, which can include creating a log of fall prevention and detection alerts and other events for future reference or analysis;

[0116] Step 605, communicating events: The system communicates the detected events and data to external applications or services, such communication is critical for providing real-time alerts and enabling remote monitoring by healthcare professionals or caregivers.

[0117] In one embodiment, the process of detecting and classifying the measured individual within the fall detection and prevention system of the present utility encompasses a comprehensive set of functions within the digital detection and classification framework. This process involves several key steps:

[0118] Detection and generation of 4D Radar Point Cloud: Starting from detecting radar echoes, a 4D "Radar Point Cloud" is created, the "Cloud" represents a complete detection of all physical surfaces within the radar coverage area, each detection point is precisely located in three-dimensional space (x, y, z) and assigned a radial velocity, including stationary points (radial velocity "0") relative to the radar module position;

[0119] Grouping and barycenter calculation: involves grouping the detected radar points into independent objects, including individuals, babies, pets and other targets; the grouping process generates a barycenter for each group, their respective positions (x, y, z) and radial velocity relative to the radar module position;

[0120] Classification of grouped radar echoes: the system classifies these grouped radar echoes (referred to as "targets") into categories such as people, babies or other specified categories such as pets or wheelchairs, each group of radar echoes is individually identified as a "target";

[0121] Continuous monitoring and posture classification: human targets, including chronically ill patients in bed, elderly impaired patients, postoperative patients, etc., are continuously monitored, observing their posture, movement and behavior changes and classifying them, which can include identifying states such as waking up, getting out of bed, climbing over bed rails or standing on the bed, leaving the bed or approaching the door, etc.

[0122] In some embodiments, the radar module has an integrated radar canopy, which is an important design feature of the present utility new fall detection and prevention system, allowing seamless integration of radar technology without compromising the aesthetics or functionality of the ceiling fan or similar indoor device. The fall detection and prevention system of the present utility new embodiment includes a decorative radar canopy, designed to wrap the radar module. The canopy acts as a protective and aesthetic cover for the radar module, which can be seamlessly integrated into the design of the indoor device without adversely affecting the established configuration.

[0123] The radar canopy can be incorporated alongside existing components, such as a light cover, plastic housing, or similar design, without any detrimental impact. The decorative canopy serves to protect the radar module from physical damage, dust, and other environmental factors. This protection ensures the longevity and reliability of the radar technology. The design of the canopy harmoniously blends with the overall design of the ceiling fan or similar device, which can be customized to match the appearance of the indoor device, maintaining consistency and a pleasing aesthetic with the integration.

[0124] The integration process is designed to be simple, ensuring that the canopy can be added without requiring significant modifications or destruction of the device's configuration. This minimizes installation complexity and associated costs. By seamlessly integrating the decorative radar canopy, the system of the present utility new improves the user experience. Users benefit not only from advanced radar technology but also from a low-key and attractive design. The decorative canopy is adaptable to different device designs and configurations. It accommodates various forms and styles, enabling its use in different settings and applications.

[0125] The system of the present utility new, its installation is designed to be user-friendly and unobtrusive, involving the integration of a sensor system into a ceiling fan or similar device above a bed. The key component of this integration is the radar transparent cover or radar canopy. The radar canopy has a dual purpose during installation: first, it is a decorative housing that can enhance the overall aesthetics of the device, seamlessly blending with the design of the device. This decoration ensures that the installation is visually appealing and does not compromise the appearance of the device; the second key role of the canopy is to provide protection for the radar module, which acts as a protective shell that wraps the radar module, protecting it from physical damage, dust, and other environmental factors. This protection function ensures the longevity and reliability of the radar module.

[0126] Despite its protective role, the canopy is transparent (transmissive) to radar signals, allowing radar waves to pass through without distortion or interference. This radar transparency is crucial for maintaining the functionality of the radar module. The system of the present utility new, enclosed within the canopy, can continue to accurately detect individual motion, presence, and other data. The canopy can be customized to match the specific design and aesthetics of the ceiling fan or similar device.

[0127] The radar radome can be customized to match the appearance of the device, ensuring a cohesive and pleasing appearance. This customization adds a layer of versatility, enabling the system to adapt to a variety of room styles and preferences. Importantly, the installation of the radar transparent cover (radar radome) does not disrupt the existing device configuration, and it can be seamlessly added without major modifications, thereby reducing installation complexity and associated costs. Users can enjoy the benefits of advanced radar technology without having to make invasive changes to their room setup. The combination of radar technology with the radar transparent cover (radar radome) enhances the user experience. Users can benefit not only from advanced monitoring and detection capabilities but also from a low-key and attractive design that seamlessly integrates with the device.

[0128] The system described in the embodiments of the present utility model provides an innovative solution that enhances the performance and aesthetics of indoor devices. In this system, indoor devices (from ceiling fans to lighting fixtures, light bulbs, mirrors, and air conditioning units) are specially configured to seamlessly integrate radar modules. This integration is particularly important with the introduction of a specialized radar transparent cover (referred to as "radar radome"). The radar radome is carefully designed to wrap and protect the embedded radar module within the indoor device. The uniqueness of this solution lies in the careful consideration of design and composition, ensuring that the radar radome coexists harmoniously with the overall aesthetics of the indoor device. While providing a protective shell for the radar module, the radome also preserves the functional and visual characteristics of the device. Furthermore, it achieves this balance without hindering the transmission of radar signals. This innovative system effectively combines technology and design, making indoor appliances not only perform optimally but also retaining their original appeal, making it a valuable addition to the field of indoor appliance technology and design.

[0129] The system described in the embodiments of the present utility model adopts flexible data communication modules to manage sensor data, aiming to adapt to various scenarios and user preferences. By default, sensor data is usually processed locally. This means that the data collected by the sensor will be analyzed and processed within the system or the indoor electronic device itself. Local processing can ensure real-time response and is crucial in cases where immediate action is required. In addition to local processing, the system described in the embodiments of the present utility model can also communicate with edge devices. Edge devices are intermediate computing devices closer to the data source (sensor system) and can further process and analyze data compared to cloud-based solutions, providing more computing power and possibly reducing latency. The system described in the embodiments of the present utility model can also transmit sensor data to cloud services, which can enable remote monitoring, data storage, and advanced analysis based on cloud-based communication, with the advantage of being accessible from anywhere with an internet connection. The system described in the embodiments of the present utility model can be connected to a data network using wired and wireless methods. Wired connections can include Ethernet, while wireless networks can include Wi-Fi, Bluetooth, or 4 / 5G connections. The choice of network connection depends on the specific application and user preferences. The system described in the embodiments of the present utility model is equipped with full-duplex communication capabilities, allowing bidirectional data transmission, which means not only can data from the sensor be sent to external devices, but also pre-recorded audio files can be received from external devices.

[0130] The system described in the embodiments of the present utility model provides a variety of data management methods through its data communication capabilities. Local data processing ensures immediate response to critical events, while connection with edge devices and cloud services provides data redundancy and storage, ensuring that historical data can be used for analysis. Cloud service integration allows remote monitoring and access, enabling users to stay informed about personal health and environmental conditions at any place with internet access. In addition, collected data can be analyzed in the cloud to provide valuable insights into long-term trends and patterns. The system described in the embodiments of the present utility model is versatile, capable of connecting through various wired and wireless networks and full-duplex communication capabilities, ensuring compatibility with different devices and data transmission methods.

[0131] The system according to embodiments of the present utility model is equipped with an alarm and notification mechanism, i.e., an alert communication system or the aforementioned alert system, which enables it to send timely notifications to external applications or server. These alerts are crucial for ensuring the safety, well-being, and healthcare management of individuals. The alert communication system plays a key role in enabling a quick response to significant events and ensuring that individuals receive timely assistance when necessary. The system according to embodiments of the present utility model significantly improves safety through fall prevention and detection alerts, particularly benefiting vulnerable groups such as the elderly and patients in medical environments. In healthcare and geriatric care environments, the alert communication system is an essential tool that can improve patient care, safety, and overall well-being. Additionally, remote monitoring functionality ensures that healthcare professionals and caregivers can actively monitor and respond to events even when physically distant, ultimately improving the quality of care and patient treatment outcomes. Detailed explanations of alert generation for fall prevention, fall detection, and severe mobility disorders are provided below:

[0132] Fall prevention - attempting to climb over a hospital bed rail or stand up in bed: a fall prevention alert is triggered when an individual attempts to climb over a rail and potentially falls from the top and free-falls onto the floor, which is particularly important when monitoring high-risk patients after surgery or patients with mental confusion and disorientation who must lie in bed;

[0133] Fall prevention - crossing virtual boundary lines: a fall prevention alert is triggered when an individual approaches the edge of a bed or a defined virtual boundary line around the bed; the system according to embodiments of the present utility model monitors the proximity of these boundaries and alerts when there is a risk of falling, which is particularly important in healthcare environments where patients may have mobility difficulties, and fall prevention is a key aspect of ensuring patient safety;

[0134] Fall detection - when the COG or posture classification of the target indicates a fall: a fall detection alert is activated when the system's analysis of an individual's center of gravity (COG) or posture classification indicates a fall, which can be sudden or uncontrolled movement, indicating that someone has fallen, and rapid fall detection is crucial for seeking immediate assistance in the event of an accident or emergency, particularly in healthcare and senior care facilities.

[0135] The system according to the present utility model incorporates radar modules into ceiling fans, appliances, or standalone radar sensor devices, providing multiple embodiments tailored to different installation scenarios and requirements. These embodiments are disclosed in detail below:

[0136] Independent radar module unit: in a first embodiment, the radar module functions as an independent unit with all its components and functionalities. The radar antenna faces downwards and is equipped with a communication channel for interaction with the ceiling fan unit. This independent radar module offers flexibility in terms of placement and can be optimally positioned according to specific monitoring requirements.

[0137] Radar module under the canopy: in a second embodiment, the "front end" of the radar module, including the antenna and RF circuitry, is located under a dedicated cover with radar antenna canopy characteristics. This canopy cover can protect and hide the radar components while allowing radar signals to pass through. The radar control component (or processor) is connected with the ceiling fan controller and other necessary components as specified by the particular implementation. This configuration combines performance with aesthetics.

[0138] Integrated radar control component (processor): the third embodiment involves integrating the radar control component directly into the control component and / or printed circuit of the ceiling fan. This approach simplifies installation and reduces the number of separate components. The radar control component typically communicates with the ceiling fan control component through a half-duplex or full-duplex communication channel, which facilitates information exchange, enabling the ceiling fan to respond to radar inputs and adjust its operation accordingly.

[0139] Regardless of the implementation, the radar beam direction is generally downward, covering the floor area and most of the room space. However, certain embodiments can provide flexibility to adjust the radar direction to accommodate different monitoring scenarios. For example, it can be adjusted to face the bed or other areas of interest. This adaptability ensures that the radar module can be optimized for its specific application. In terms of installation, the radar module is typically secured to the ceiling fan frame using methods such as magnets, screws or other mechanical fasteners, which allow adjustment of the direction and angle of the radar module relative to the ceiling fan frame base plate. Optimizing the distance between the radar and the canopy or cover is crucial for achieving optimal performance. Overall, these embodiments provide versatility in incorporating radar technology into various indoor devices, whether it is a ceiling fan, appliance or standalone sensor device, ensuring effective and unobtrusive monitoring and control.

[0140] It is important to note that certain embodiments of the sensor module, which contain the sensor and communication modules, are discussed in detail in the accompanying drawings, which illustrate the physical structure and integration of the sensor system, providing a comprehensive understanding of its components and functionalities.

[0141] While certain preferred and alternative embodiments of the present invention are described and illustrated, it is understood that various modifications can be made to these embodiments without departing from the spirit and scope of the present invention, which is defined by the appended claims.

Claims

1. A fall detection and prevention system, characterized in that, The system includes: One or more sensors, strategically positioned to cover the entire monitoring area, are used to monitor objects in the indoor environment in real time and collect the data necessary for fall detection; One or more processors are responsible for processing data collected by sensors in real time to analyze fall-related patterns and generate necessary responses; and The communication module is configured to trigger the necessary response in response to a detected fall.

2. The system as described in claim 1, characterized in that, The sensor includes a radar sensor; The system is located within or near an indoor device; the sensor is used to monitor events including: when a person gets up or stands on the bed; or when someone falls; or if a person leaves the bed area; the processor implements a fall detection and prevention algorithm to determine the relevant state of a person's fall, including: getting up, climbing over a side rail, standing, walking, or crossing a virtual boundary, and generates the necessary response accordingly, including an alarm, intervention, or notification.

3. The system as described in claim 2, characterized in that, The system is integrated into the indoor device; the sensor is integrated into the indoor device in one of the following ways: The sensor is an inherent component of the electronic design of the indoor device and is an integral part of the overall electronic design; or The sensor is a standalone unit located nearby and connected to the indoor equipment.

4. The system as described in claim 3, characterized in that, The system also includes a control component for indoor devices, wherein the processor is directly integrated into the control component and / or integrated into the printed circuit board; the processor is communicatively connected to the control component of the indoor devices; the control component of the indoor devices serves as a central interface for communication with the sensors; and the control component of the indoor devices controls the indoor unit according to the instructions issued by the processor.

5. The system as described in claim 2, characterized in that, The indoor equipment includes one or more of the following: ceiling fan, lighting fixtures, mirror, or air conditioning unit.

6. The system as described in claim 1, characterized in that, The system is integrated into a standalone sensor device with full functionality.

7. The system as described in claim 2, characterized in that, The sensor is externally equipped with an antenna cover that is suitable for the design and configuration of the indoor equipment and is seamlessly integrated into the design of the indoor equipment. The antenna cover is transparent to the sensor signal, allowing the sensor signal wave to pass through without distortion or interference.

8. The system as described in claim 1, characterized in that, The sensor includes an on-chip radar (ROC); the processor includes an AI processor; the AI ​​processor processes the data collected by the sensor to identify potential and actual fall detection.

9. The system as described in claim 1, characterized in that, The system connects to cloud services and / or local edge devices via a wired or wireless network to provide flexibility in data management; the system interacts with mobile device applications to allow users to monitor system data via mobile devices, and / or receive alerts or notifications, and / or adjust settings.

10. The system as claimed in claim 1, characterized in that, The system also includes an event logging unit for recording events and data generated by the system; the system also includes a board. Carry an antenna to enhance the system's communication capabilities.

11. The system as claimed in claim 1, characterized in that, The sensor includes a dual radar system for enhanced reliability, enabling cross-validation of fall events between radar sensors to reduce the likelihood of false alarms.

12. The system as claimed in claim 1, characterized in that, The communication module employs a wireless communication protocol to enable seamless integration of the system with smartphones or monitoring devices.

13. The system as claimed in claim 1, characterized in that, The system also includes a power supply unit for supplying power to the sensors, control components, and communication module; the power supply unit incorporates energy-saving components to optimize power consumption.

14. The system according to any one of claims 1 to 13, characterized in that, The processor works in conjunction with the communication module to seamlessly trigger alarms; the system is equipped with an alarm system in which the processor controls the communication module to activate the alarm system upon detecting an event such as a person falling, the possibility of falling, or crossing a virtual boundary, and immediately send a notification to a designated person.

15. The system according to any one of claims 2 to 13, characterized in that, The system also includes a user interface for configuring, adjusting parameters, monitoring fall detection events, and receiving alarms or notifications; the processor is connected to the user interface via a communication module. The user interface includes a visual feedback component; The user interface is located on an indoor device; the user interface is connected to a central monitoring system for alerting staff and activating response procedures.

Images