NETWORK ENABLED EARLY FALL DETECTION SYSTEM AND METHOD THEREOF

Abstract

NETWORK ENABLED EARLY FALL DETECTION SYSTEM AND METHOD THEREOF ABSTRACT A network enabled early fall detection system (100), the system (100) comprising: wearable devices (102a-102n) that comprises sensors (200) to collate matrices relating to an orientation of a body of a wearer; a Long Range (LoRa) gateway (202) to transmit the collated matrices to a cloud server (104); and a controller unit (204) configured to receive the collated matrices and transmit the received matrices to a cloud server (104). A processor unit (106) established in the cloud server (104), configured to: receive the matrices transmitted by the controller unit (204); detect the fall of the body of the wearer; generate and transmit an alert, if the fall of the body of the wearer from the received matrices to a computing device (114). The system (100) provides continuous monitoring of the body of the wearer, ensuring any potential fall issues are detected early, allowing for timely intervention. Claims: 10, Figures: 5 Figure 1A is selected.

Specification

Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to an early fall detection system and particularly to a network enabled early fall detection system.
Description of Related Art
[002] Falls are a significant health risk, particularly for the elderly population. According to the World Health Organization (WHO), falls are the second leading cause of accidental or unintentional injury deaths globally, with adults aged 60 and older being most vulnerable. Age-related factors such as reduced physical strength, impaired balance, and chronic health conditions contribute to this heightened risk. Injuries resulting from falls often lead to severe health complications, including fractures, head injuries, and long-term immobility, necessitating immediate medical attention and potentially long-term care.
[003] To address the growing concern around falls, especially in elderly populations, various technological solutions have been developed to detect falls in real-time and notify caregivers or healthcare providers to reduce the impact of fall-related injuries. These systems typically utilize sensors like accelerometers, gyroscopes, and other motion detection technologies to identify sudden changes in movement that may indicate a fall. Once detected, a communication system, such as Wi-Fi, Bluetooth, or cellular networks, is often employed to send alerts to designated contacts.
[004] Despite advancements in fall detection technologies, existing solutions face several limitations, including accuracy issues, high power consumption, and the potential for false alarms.
[005] CN117471421B discloses a 'Training method of object falling detection model and falling detection method'. The disclosed art involves signal quality feature extraction and mask processing. However, it does not fully resolve issues related to signal accuracy in real-world environments.
[006] CN110517450A discloses a 'Wearable device and fall detection method based on narrowband Internet of Things'. However, disclosed art may fail to detect slow falls or produce false alarms when the user sits down suddenly. Continuous monitoring also leads to high power consumption, limiting the practicality of the device.
[007] CN112782681A discloses an 'Indoor positioning and falling detection system and method based on millimeter waves and Internet of things'. However, the prior art lacks a reliable wearable device for accurate fall detection. Additionally, the reliance on Wi-Fi makes the system vulnerable during power outages, which can impede fall detection and timely alerting.
[008] There is thus a need for an improved and advanced network enabled early fall detection system that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[009] Embodiments in accordance with the present invention provide a network enabled early fall detection system. The system comprising: wearable devices adapted to be worn by wearers. The wearable devices comprising: sensors adapted to collate matrices relating to an orientation of a body of a wearer by detecting a fall of the body of the wearer; a Long Range (LoRa) gateway adapted to transmit the matrices collated by the sensors to a cloud server; and a controller unit. The controller unit is configured to receive the matrices collated by the sensors and transmit the received matrices to the cloud server. The system further comprising: a processor unit established in the cloud server. The processor unit is configured to: receive the matrices transmitted by the controller unit; detect the fall of the body of the wearer from the received matrices using a probabilistic model; generate an alert based on the detected fall of the body of the wearer; and transmit the generated alert to a computing device of a caretaker to alert the caretaker regarding the detected fall of the body of the wearer.
[0010] Embodiments in accordance with the present invention further provide a method for detecting an early fall of a wearer using an early fall detection system. The method comprising steps of: receiving matrices collated by sensors; transmitting the received matrices to a cloud server; receiving the matrices transmitted by a controller unit; detecting a fall of a body of the wearer from the received matrices; generating an alert, if the fall of the body of the wearer from the received matrices, via a computing device; and transmitting the generated alert to the computing device.
[0011] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a network enabled early fall detection system.
[0012] Next, embodiments of the present application may provide an early fall detection system that enables more accurate detection of falls compared to existing systems. By employing a hybrid approach, the system minimizes false alarms that may occur from rapid movements like sitting abruptly, which is a limitation in current technologies.
[0013] Next, embodiments of the present application may provide an early fall detection system that provides real-time alerts to caregivers and healthcare providers through both web and mobile dashboards, enabling immediate response to fall incidents. Continuous monitoring of the user's health status ensures that any potential issues are detected early, allowing for timely intervention.
[0014] Next, embodiments of the present application may provide an early fall detection system that relies on power-intensive communication methods such as Wi-Fi or cellular networks, this invention uses LoRa (Low Power, Wide Area Network), which consumes significantly less power. This makes the system ideal for continuous, long-term monitoring without frequent recharging of devices to increase a convenience for elderly users.
[0015] Next, embodiments of the present application may provide an early fall detection system that enables long-range communication, allowing the system to transmit data over larger distances compared to traditional Wi-Fi or Bluetooth-based systems. This makes the system highly effective for remote monitoring, especially in rural areas or environments with limited network coverage.
[0016] Next, embodiments of the present application may provide an early fall detection system that is designed to function even in environments where traditional communication methods like Wi-Fi may fail due to power outages. LoRa's ability to operate efficiently in low-power situations ensures that fall detection and alert services continue uninterrupted.
[0017] Next, embodiments of the present application may provide an early fall detection system that is equipped with a unique identifier, allowing the system to track and monitor multiple individuals simultaneously. This feature is particularly useful in care facilities or homes where several elderly patients may be monitored.
[0018] Next, embodiments of the present application may provide an early fall detection system that transmits fall data to a cloud server for real-time visualization to enable caregivers to view a health status and a fall history of elderly individuals. The integration with cloud services allows for long-term data storage and analysis, providing valuable insights into the user's health trends and helping in predictive care.
[0019] Next, embodiments of the present application may provide an early fall detection system that is tailored to meet the specific needs of individual users, allowing for adjustments based on the user's health condition, mobility, and environment. This flexibility ensures that the system can be adapted to provide the most effective fall detection solution for each person.
[0020] Next, embodiments of the present application may provide an early fall detection system that provides real-time monitoring and alerting, the proposed system enhances the safety of elderly individuals living alone, reducing their risk of prolonged immobility after a fall. This allows elderly users to maintain their independence while providing peace of mind to their families and caregivers.
[0021] These and other advantages will be apparent from the present application of the embodiments described herein.
[0022] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0023] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0024] FIG. 1A illustrates a block diagram of a network enabled early fall detection system, according to an embodiment of the present invention;
[0025] FIG. 1B illustrates a connectivity diagram of a processor unit of the network enabled early fall detection system, according to an embodiment of the present invention;
[0026] FIG. 2 illustrates a block diagram of a wearable device of the network enabled early fall detection system, according to an embodiment of the present invention;
[0027] FIG. 3 illustrates a block diagram of the processor unit of the network enabled early fall detection system, according to an embodiment of the present invention; and
[0028] FIG. 4 depicts a flowchart of a method for detecting an early fall of a wearer using the early fall detection system, according to an embodiment of the present invention.
[0029] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words "include", "including", and "includes" mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0030] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0031] In any embodiment described herein, the open-ended terms "comprising", "comprises", and the like (which are synonymous with "including", "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", "consists essentially of", and the like or the respective closed phrases "consisting of", "consists of", the like.
[0032] As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.
[0033] FIG. 1A illustrates a block diagram of a network enabled early fall detection system 100 (hereinafter referred to as the system 100), according to an embodiment of the present invention. In an embodiment of the present invention, the system 100 may be adapted to detect a fall of a body of a person. Further, the detected fall of the body of the person is transmitted to a caretaker, in form of an alert, for advancing and helping the person. The transmission of the detected fall may conducted with communication systems and protocols, in an embodiment of the present invention.
[0034] According to embodiments of the present invention, the system 100 may be installed in a premise that may be, but not limited to, a hospital, an old age home, a sports complex, and so forth. Embodiments of the present invention are intended to include or otherwise cover any premise for installation of the system 100, including known, related art, and/or later developed technologies.
[0035] According to embodiments of the present invention, the system 100 may comprise wearable devices 102a-102n (hereinafter referred individually to as the wearable device 102a, and plurally to as the wearable devices 102), a cloud server 104, a processor unit 106, a Wireless Fidelity (Wi-Fi) module 108, a power supply unit 110, and a dashboard 112 installed in a computing device 114.
[0036] In an embodiment of the present invention, the wearable device 102a may be adapted to be worn by a wearer. The wearer may wear the wearable device 102a on a body part such as, but not limited to, a wrist, an arm, a bicep, a leg, a hand, an ankle, an abdomen, a forehead, and so forth. Embodiments of the present invention are intended to include or otherwise cover any body part where the wearer may wear the wearable device 102a, including known, related art, and/or later developed technologies. Further, the wearable device 102a may be secured on the body part by means such as, but not limited to, a Velcro, a latch-lock, a ribbon, and so forth. Embodiments of the present invention are intended to include or otherwise cover any means that may secure the wearable device 102a on the body part of the wearer, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the wearable device 102a may further be explained in detail in conjunction with FIG. 2.
[0037] In an embodiment of the present invention, the cloud server 104 may be communicatively connected to the wearable device 102a. According to embodiments of the present invention, the cloud server 104 may be, but not limited to, a cloud storage facility, an Internet, a web database, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud server 104, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the cloud server 104 may further comprise the processor unit 106.
[0038] . According to embodiments of the present invention, the cloud server 104 may be, but not limited to, a cloud storage facility, an Internet, a web database, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud server 104, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the cloud server 104 may further comprise the processor unit 106.
[0039] In an embodiment of the present invention, the processor unit 106 may be configured to detect the fall of the body of the wearer, in real-time. Further, the processor unit 106 may be adapted to alert the caretaker in case the fall of the body of the wearer may be detected. The processor unit 106 may be a physical peripheral that may be physically installed and configured on the cloud server 104, in an embodiment of the present invention. In another embodiment of the present invention, the processor unit 106 may be virtually configured on the cloud server 104. The virtual configuration may be achieved using means such as, but not limited to, an Oracle VMWare, a Sandbox, a VMware Horizon Client, and so forth. Embodiments of the present invention are intended to include or otherwise cover any means for achieving the virtual confutation of the processor unit 106 over the cloud server 104.
[0040] The processor unit 106 may further be configured to execute computer-executable instructions to generate an output relating to the cloud server 104. According to embodiments of the present invention, the processor unit 106 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processor unit 106 including known, related art, and/or later developed technologies. In an embodiment of the present invention, the processor unit 106 may further be explained in conjunction with FIG. 3.
[0041] In an embodiment of the present invention, a connectivity of the processor unit 106 with the Wireless Fidelity (Wi-Fi) module 108, the power supply unit 110, and with the dashboard 112 installed in the computing device 114 may further be explained in detail in conjunction with FIG. 1B.
[0042] FIG. 1B illustrates a connectivity diagram of the processor unit 106 of the system 100, according to an embodiment of the present invention.
[0043] In an embodiment of the present invention, the Wireless Fidelity (Wi-Fi) module 108 may be configured to establish a connectivity between the cloud server 104 and the processor unit 106. According to embodiments of the present invention, an operational frequency of the Wireless Fidelity (Wi-Fi) module 108, but not limited to, 2.4 Gigahertz (GHz), 5.2 Gigahertz (GHz), and so forth. Embodiments of the present invention are intended to include or otherwise cover any operational frequency of the Wireless Fidelity (Wi-Fi) module 108, including known, related art, and/or later developed technologies. According to embodiments of the present invention, a version of the Wireless Fidelity (Wi-Fi) module 108 may be, but not limited to, a Wireless Fidelity version 5 (Wi-Fi 5), a Wireless Fidelity version 6 (Wi-Fi 6), a Wireless Fidelity version 6E (Wi-Fi 6E), a Wireless Fidelity version 7 (Wi-Fi 7), a Wireless Fidelity version 7s (Wi-Fi 7s), and so forth. Embodiments of the present invention are intended to include or otherwise cover any version of the Wireless Fidelity (Wi-Fi) module 108, including known, related art, and/or later developed technologies.
[0044] In an embodiment of the present invention, the power supply unit 110 may be connected to the processor unit 106. The power supply unit 110 may further supply operational power to the processor unit 106, in an embodiment of the present invention. In an embodiment of the present invention, the power supplied from the power supply unit 110 may be regulated using a regulator (not shown).
[0045] In an exemplary embodiment of the present invention, the power supply unit 110 may provide power from a battery. In another exemplary embodiment of the present invention, the power supply unit 110 may provide power from a wall-outlet power supply. In yet another exemplary embodiment of the power supply unit 110 may supply power from any source.
[0046] In an embodiment of the present invention, the battery power supply may be from a rechargeable battery. In another embodiment of the present invention, the battery power supply may be from a non-rechargeable battery. According to embodiments of the present invention, the battery for power supply may be of any composition such as, but not limited to, a Nickel-Cadmium battery, a Nickel-Metal Hydride battery, a Zinc-Carbon battery, a Lithium-Ion battery, and so forth. Embodiments of the present invention are intended to include or otherwise cover any composition of the battery, including known, related art, and/or later developed technologies.
[0047] In an embodiment of the present invention, the wall-outlet power supply may be from a grid power line supply. In another embodiment of the present invention, the wall-outlet power supply may be from a generator line power supply. According to embodiments of the present invention, the wall-outlet power supply may be of any rating such as, but not limited to, a 110-volt supply, a 220-volt supply, and so forth. Embodiments of the present invention are intended to include or otherwise cover any rating of the wall-outlet power supply, including known, related art, and/or later developed technologies.
[0048] According to an embodiment of the present invention, the power supply unit 110 may supply an Alternating Current (AC) power supply. According to another embodiment of the present invention, the power supply unit 110 may supply a Direct Current (DC) power supply. According to yet another embodiment of the present invention, the power supply unit 110 may supply any type of power supply.
[0049] In an embodiment of the present invention, the dashboard 112 may be a software application established on the computing device 114. The dashboard 112 may be a computer-readable program installed in the computing device 114 for executing functions associated with the system 100. The dashboard 112 may be adapted to display the alert to the caretaker in case the fall of the body of the wearer may be detected, in an embodiment of the present invention. In an embodiment of the present invention, the dashboard 112 may be adapted to display matrices relating to an orientation of the body of the wearer.
[0050] According to embodiments of the present invention, the matrices relating to the orientation of the body of the wearer may be, but not limited to, a date, a time, an elevation of the wearer, an altitude of the wearer, a location of the wearer, an orientation of the wearer, a fall detection, an identification code of the wearable device 102a, and so forth. Embodiments of the present invention are intended to include or otherwise cover any matrices relating to the orientation of the body of the wearer, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the dashboard 112 may be, but not limited to, a standalone installable dashboard, a web dashboard, a chat-based dashboard, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the dashboard 112, including known, related art, and/or later developed technologies.
[0051] In an embodiment of the present invention, the computing device 114 may be an electronic device utilized by the caretaker. The computing device 114 may enable the caretaker to receive the alert and the matrices relating to the orientation of the body of the wearer. The computing device 114 may be, but not limited to, a personal computer, a desktop, a server, a laptop, a tablet, a mobile phone, a notebook, a netbook, a smartphone, a wearable device 102a, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the computing device 114 including known, related art, and/or later developed technologies.
[0052] FIG. 2 illustrates a block diagram of the wearable device 102a of the system 100, according to an embodiment of the present invention. According to embodiments of the present invention, the wearable device 102a may comprise sensors 200, a Long Range (LoRa) gateway 202, a controller unit 204, a location unit 206, and a battery 208.
[0053] In an embodiment of the present invention, the system 100 may comprise the wearable device 102a that may be 'n' in numbers. In an embodiment of the present invention, 'n' may be any finite number starting from '1'. In an embodiment of the present invention, each of the wearable devices 102a may comprise the sensors 200, the Long Range (LoRa) gateway 202, the controller unit 204, the location unit 206, and the battery 208.
[0054] In an embodiment of the present invention, the sensors 200 may be installed in the wearable device 102a. The sensors 200 may be adapted to collate the matrices relating to the orientation of the body of the wearer, in an embodiment of the present invention. In an embodiment of the present invention, the sensors 200 may be adapted to detect the fall of the body of the wearer.
[0055] According to embodiments of the present invention, the matrices collated by the sensors 200 may be, but not limited to, a date, a time, an elevation of the wearer, an altitude of the wearer, a location of the wearer, an orientation of the wearer, a fall detection, an identification code of the wearable device 102a, and so forth. In an embodiment of the present invention, the identification code may be encoded to the matrices collated by the sensors 200 to enable an identification of the wearer. Embodiments of the present invention are intended to include or otherwise cover any matrices relating to the orientation of the body of the wearer that may be collated by the sensors 200, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the sensors 200 may be, but not limited to, a gyroscope, an oscilloscope, a compass, an orientation sensors 200, a level meter, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the sensors 200, including known, related art, and/or later developed technologies.
[0056] In an embodiment of the present invention, the sensors 200 may be installed in the wearable device 102a. The Long Range (LoRa) gateway 202 may be adapted to transmit the matrices collated by the sensors 200 to the cloud server 104 in an embodiment of the present invention. According to embodiments of the present invention, the Long Range (LoRa) gateway 202 may be, but not limited to, a modem, a router, a switch, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the Long Range (LoRa) gateway 202, including known, related art, and/or later developed technologies.
[0057] In an embodiment of the present invention, the controller unit 204 may be installed in the wearable device 102a. The controller unit 204 may be configured to receive the matrices collated by the sensors 200 and transmit the received matrices to the cloud server 104, in an embodiment of the present invention. In an embodiment of the present invention, the transmission of the collated matrices may carried out using the Long Range (LoRa) gateway 202. The controller unit 204 may further be configured to execute computer-executable instructions to generate an output relating to the wearable device 102a. According to embodiments of the present invention, the controller unit 204 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the controller unit 204 including known, related art, and/or later developed technologies.
[0058] In an embodiment of the present invention, the location unit 206 may be installed in the wearable device 102a. The location unit 206 may be adapted to triangulate a geographical location of the wearer, in an embodiment of the present invention. In an embodiment of the present invention, the geographical location of the wearer triangulated by the location unit 206 may be transmitted onto the computing device 114 of the caretaker. The transmitted geographical region of the wearer may enable the caretaker to approach the wearer, at the geographical region, to rescue the wearer, in an embodiment of the present invention.
[0059] In an exemplary embodiment of the present invention, the triangulated geographical location of the wearer may be represented in x° North, y° East coordinated format. In another exemplary embodiment of the present invention, the triangulated geographical location of the wearer may be in x° North y minute and z second, a° East b minute, and c second coordinated format. In yet another exemplary embodiment of the present invention, the triangulated geographical location of the wearer may be in any format.
[0060] According to embodiments of the present invention, the location unit 206 may be of any type such as, but not limited to, a Global Navigation Satellite System (GLONASS), a Real-Time Locating System (RTLS), and so forth. In a preferred embodiment of the present invention, the location unit 206 may be a Global Positioning System (GPS). Embodiments of the present invention are intended to include or otherwise cover any type of the location unit 206, including known, related art, and/or later developed technologies.
[0061] In an embodiment of the present invention, the battery 208 may be installed in the wearable device 102a. The battery 208 may be adapted to supply operational power to the components of the wearable device 102a, in an embodiment of the present invention. In an embodiment of the present invention, the battery 208 may be a rechargeable battery. In another embodiment of the present invention, the battery 208 may be a non-rechargeable battery. According to embodiments of the present invention, the battery 208 for the operational power supply may be of any composition such as, but not limited to, a Nickel-Cadmium battery, a Nickel-Metal Hydride battery, a Zinc-Carbon battery, a Lithium-Ion battery, and so forth. Embodiments of the present invention are intended to include or otherwise cover any composition of the battery 208 for the operational power supply, including known, related art, and/or later developed technologies.
[0062] FIG. 3 illustrates a block diagram of the processor unit 106 of the system 100, according to an embodiment of the present invention. The processor unit 106 may comprise the computer-executable instructions in form of programming modules such as a data receiving module 300, a fall detection module 302, an alert generation module 304, and a data transmission module 306.
[0063] In an embodiment of the present invention, the data receiving module 300 may be configured to receive the matrices transmitted by the controller unit 204. The data receiving module 300 may further be configured to transmit the received matrices to the fall detection module 302, in an embodiment of the present invention.
[0064] The fall detection module 302 may be activated upon receipt of the matrices from the data receiving module 300. In an embodiment of the present invention, the fall detection module 302 may be configured to decode the received matrices. Further, based on the decoded matrices the fall detection module 302 may detect the fall of the body of the wearer. In an embodiment of the present invention, the fall of the body of the wearer may be detected using a probabilistic model. The probabilistic model may consider received matrices and may assign a probability score to the received matrices based on the likelihood that it indicates the fall, and then combines these scores into a single probability of the fall detection. The probability for detecting the fall, P(Fall), may be calculated using an equation (1):
[0065] P(Fall) = wo⋅P(O)+wa⋅P(A)+wl⋅P(L) -----------------Equation (1)
[0066] Wherein, wo, wa and wl indicate weights assign to parameters of the received matrices. P(O) indicates a probability of fall based on the orientation of the wearer. P(A) indicates a probability fall based on the altitude of the wearer. P(L) indicates a probability of fall based on the location of the wearer. Moreover, if the fall of the body of the wearer may be detected then the fall detection module 302 may transmit an alert signal to the alert generation module 304. Else, the fall detection module 302 may reactivate the data receiving module 300 to continue receiving the matrices transmitted by the controller unit 204.
[0067] The alert generation module 304 may be activated upon receipt of the alert signal from the fall detection module 302. In an embodiment of the present invention, the alert generation module 304 may be configured to generate the alert. The alert generation module 304 may further be configured to transmit the generated alert to the data transmission module 306.
[0068] The data transmission module 306 may be activated upon receipt of the alert generated by the alert generation module 304. In an embodiment of the present invention, the data transmission module 306 may be configured to transmit the generated alert to the computing device 114. The alert received on the computing device 114 may be in a form of a notification, in an embodiment of the present invention. According to embodiments of the present invention, the pre-defined form of the notification received on the computing device 114 may be, but not limited to a pop-up notification, a flash notification, a ringer notification, a silent notification, a push notification, a hidden notification, an electronic mail notification, a Short Message Service (SMS) notification, an always on-screen notification, and so forth. Embodiments of the present invention are intended to include or otherwise cover any pre-defined form of the notification that may be received on the computing device 114, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the data transmission module 306 may further be configured to display the retrieved matrices on the dashboard 112 established in the computing device 114.
[0069] FIG. 4 depicts a flowchart of a method 400 for detecting the early fall of the wearer using the system 100, according to an embodiment of the present invention.
[0070] At step 402, the system 100 may receive the matrices collated by the sensors 200.
[0071] At step 404, the system 100 may enable the controller unit 204 to transmit the received matrices to the cloud server 104.
[0072] At step 406, the system 100 may receive the matrices transmitted by the controller unit 204.
[0073] At step 408, the system 100 may detect the fall of the body of the wearer from the received matrices. If the fall of the body of the wearer may be detected then the method 400 may proceed to a step 410. Else, the method 400 may revert to the step 402.
[0074] At step 410, the system 100 may generate the alert.
[0075] At step 412, the system 100 may transmit the generated alert to the computing device 114.
[0076] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0077] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A network enabled early fall detection system (100), the system (100) comprising:
wearable devices (102a-102n) adapted to be worn by wearers, wherein each of the wearable devices (102a-102n) comprises:
sensors (200) adapted to collate matrices relating to an orientation of a body of a wearer by detecting a fall of the body of the wearer;
a Long Range (LoRa) gateway (202) adapted to transmit the matrices collated by the sensors (200) to a cloud server (104); and
a controller unit (204) configured to receive the matrices collated by the sensors (200) and transmit the received matrices to the cloud server (104); and
a processor unit (106) established in the cloud server (104), characterized in that the processor unit (106) is configured to:
receive the matrices transmitted by the controller unit (204);
detect the fall of the body of the wearer from the received matrices using a probabilistic model;
generate an alert based on the detected fall of the body of the wearer; and
transmit the generated alert to a computing device (114) of a caretaker to alert the caretaker regarding the detected fall of the body of the wearer.
2. The system (100) as claimed in claim 1, wherein the processor unit (106) is configured to display the retrieved matrices on a dashboard (112) established in the computing device (114).
3. The system (100) as claimed in claim 1, wherein the wearable devices (102a-102n) comprise a location unit (206) that is adapted to triangulate a geographical location of the wearer.
4. The system (100) as claimed in claim 1, wherein each of the wearable devices (102a-102n) comprises an identification code that may be encoded to the matrices collated by the sensors (200).
5. The system (100) as claimed in claim 1, wherein a dashboard (112) is selected from a standalone installable dashboard, a web dashboard, a chat-based dashboard, or a combination thereof.
6. The system (100) as claimed in claim 1, wherein the cloud server (104) and the processor unit (106) are adapted to communicate using a Wireless Fidelity (Wi-Fi) module (108).
7. The system (100) as claimed in claim 1, wherein the matrices collated by the sensors (200) are selected from a date, a time, an elevation of the wearer, an altitude of the wearer, a location of the wearer, an orientation of the wearer, a fall detection, an identification code of the wearable devices (102a-102n), or a combination thereof.
8. A method (400) for detecting an early fall of a wearer using an early fall detection system (100), the method (400) is characterized by steps of:
receiving matrices collated by sensors (200);
transmitting the received matrices to a cloud server (104);
receiving the matrices transmitted by a controller unit (204);
detecting a fall of a body of the wearer from the received matrices;
generating an alert, if the fall of the body of the wearer from the received matrices, via a computing device (114); and
transmitting the generated alert to the computing device (114).
9. The method (400) as claimed in claim 8, wherein the matrices collated by the sensors (200) are selected from a date, a time, an elevation of the wearer, an altitude of the wearer, a location of the wearer, an orientation of the wearer, a fall detection, an identification code of the wearable devices (102a-102n), or a combination thereof.
10. The method (400) as claimed in claim 8, wherein the sensors (200) is installed in a wearable devices (102a-102n).
Date: November 04, 2024
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant

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