System and method for monitoring and identifying location and direction of impact event in real time

Abstract

A system for identifying a location and direction of an impact event in real time includes an impact event monitoring device including a plurality of sensors, a processing device, and a storage unit. The sensor and the storage unit are electrically coupled to the processing device. The sensor is used for measuring impact parameters, and the impact parameters comprise quaternion, Euler angle, life statistic data, rotation angle of the head of a person and an object, motion of the person and the object, gyroscope vector and speed. The measured impact parameters are transmitted to a processing device for analyzing the measured impact parameters and creating impact data of the impact event. The second computing device includes an impact event reporting module. The impact event reporting module is to receive impact data of an impact event from the processing device, thereby enabling an emergency service provider to determine the severity of the impact event to provide better treatment to an individual.

Description

Technical Field

[0001] The disclosed subject matter generally relates to an emergency event management system. More specifically, the present disclosure relates to a system and method for real-time monitoring and identifying the location and direction of an impact event occurring on an object / subject. Background Art

[0002] In general, the number of athletes of all ages participating in sports activities is increasing, and vehicle collisions occur due to negligence, inattention, inexperience, and distraction of the vehicle operator, resulting in personal injury and property damage. For example, in sports activities, all participants are at risk of physical injury from participating in such activities. Physical injuries are more likely to occur in sports where collisions between participants occur frequently (such as football, hockey, softball, ice hockey, soccer, etc.). In sports such as football, hockey, and softball, intentional collisions between participants occur, which greatly increases the potential for physical injury and / or damage. Every year, one million athletes under the age of twenty-four participate in contact sports such as football, basketball, hockey, soccer, boxing, and mixed martial arts (MMA). All of these young athletes are at risk for head injuries due to repeated head impacts, resulting in concussions (concussive traumatic brain injuries (CTBI)) and long-term brain dysfunction. These young athletes, whose neurological systems are still developing, account for a large proportion of the 3.8 million CTBIs that occur each year and are at high risk for long-term neurological, physiological, and cognitive impairments. The conditions of head impact that lead to CTBI and potential long-term deficits in athletes are not well defined. Head injuries are caused by positive and negative acceleration forces on the brain and may be caused by linear or rotational acceleration (or both). During an impact, the head may experience linear and rotational accelerations that can damage neural and vascular components of the brain. Methods exist to help determine the location on the object / subject where the impact occurred and these methods may require a flat surface.

[0003] Similarly, in vehicle collisions, the proportion of both road and off-road vehicle collisions is increasing rapidly around the world. In most cases, people have no information about the status of the vehicle at the time of the accident. Many deaths and permanent injuries can be avoided if emergency personnel can arrive at the scene faster. Too much precious time is wasted because calls for help are delayed or emergency personnel are unable to quickly locate the accident site. Therefore, a system is needed to sense the impact event and initiate emergency protocol inspection personnel to correctly diagnose the scope and severity of the injury.

[0004] In view of the above discussion, it is necessary to establish a system with a new approach to overcome the above challenges. Summary of the invention

[0005] In order to provide the reader with a basic understanding, a simplified summary of the present disclosure is presented below. This summary is not a comprehensive overview of the present disclosure, nor does it identify the key / important elements of the present invention or delimit the scope of the present invention. Its sole purpose is to introduce some concepts of the present disclosure in a simplified form as a prelude to a more detailed description later.

[0006] Exemplary embodiments of the present disclosure are directed to a system and method for identifying the location and direction of an impact event in real time.

[0007] The present disclosure is directed to a system that provides wirelessly connected impact, anomaly sensing and reporting.

[0008] Another object of the present disclosure is directed to a system for automatically initiating an emergency protocol through a crash event reporting module.

[0009] Yet another object of the present disclosure is directed to a system that measures one or more linear accelerations at each point in an impact event.

[0010] Yet another object of the present disclosure is directed to a system that measures one or more angular accelerations at each point in an impact event.

[0011] Yet another object of the present disclosure is directed to a system for identifying the location and direction of an impact on a surface.

[0012] Still another object of the present disclosure is directed to a system that identifies the location and intensity of each impact and provides the location data and intensity data of each impact to a medical examiner to correctly diagnose the extent and severity of the injury.

[0013] Yet another object of the present disclosure is directed to a system for identifying damage to a vehicle after a crash event.

[0014] Yet another object of the present disclosure is directed to a system for identifying the authenticity of an insurance claim by identifying the precise / accurate location and intensity of an impact.

[0015] Yet another object of the present disclosure is directed to a system that provides additional data to a medical examiner to properly diagnose the extent and severity of an injury.

[0016] Yet another object of the present disclosure is directed to a system that identifies the exact location of a subject's head and / or body parts and the geographic location of the object / subject at the time of an impact event and is analyzed by a medical professional to assess the extent of the injury.

[0017] According to an exemplary embodiment of the present disclosure, a system includes an impact event monitoring device including a sensor, a processing device, and a storage unit, the sensor and the storage unit being electrically coupled to the processing device.

[0018] According to another exemplary embodiment of the present disclosure, the sensor is used to measure one or more impact parameters. The impact parameters include quaternions, Euler angles, vital statistics, rotational angles of a person's head and an object, motion of a person and an object, gyroscope vectors, and velocity.

[0019] According to another exemplary embodiment of the present disclosure, the measured impact parameters are transmitted to a processing device. The processing device is used to analyze the measured impact parameters to create impact data and identify the direction and location of the impact event. The impact data includes linear acceleration, angular acceleration, and the exact location of the impact event.

[0020] According to another exemplary embodiment of the present disclosure, the second computing device includes a crash event reporting module for receiving the crash data from the processing device and identifying the direction and location of the crash event, thereby enabling emergency service providers to determine the severity of the crash event to provide better treatment to the individual. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to fully describe various embodiments, many specific details will be listed below. Certain embodiments can be implemented without these specific details or with some changes in the details. In some cases, to avoid covering up other aspects, the description of certain features is not too detailed. The level of detail associated with each element or feature should not be understood as limiting the novelty or importance of a feature relative to other features.

[0022] Figure 1 is a block diagram depicting a schematic representation of a system for real-time monitoring, identification, and reporting of object impact events.

[0023] Figure 2 is described according to one or more exemplary embodiments Figure 1 A block diagram of a crash event monitoring device is shown.

[0024] Figure 3 is described according to one or more exemplary embodiments Figure 1 A block diagram of a schematic representation of an impact event reporting module is shown.

[0025] Figure 4 is described according to one or more exemplary embodiments Figure 3 A block diagram of a schematic representation of the impact analysis module is shown.

[0026] Figure 5 According to one or more exemplary embodiments Figure 4 An exemplary embodiment of an impact direction detection module is shown.

[0027] Fig. 6A and Figure 6B An exemplary embodiment is described that schematically illustrates a head-on collision of two objects according to one or more exemplary embodiments.

[0028] Figure 6C and Fig.6D Another exemplary embodiment is depicted in accordance with one or more exemplary embodiments, illustrating a schematic representation of a head-on collision of two objects.

[0029] Fig. 6E , Fig. 6F and Figure 6G An exemplary embodiment is described of a first object at different angles during a collision with another object according to one or more exemplary embodiments.

[0030] Figure 7 is a flow chart describing an exemplary method of analyzing an impact direction according to one or more exemplary embodiments.

[0031] Figure 8 is a flow chart describing an exemplary method for reporting a crash event to an emergency service provider in accordance with one or more exemplary embodiments.

[0032] Fig. 9 is a flow chart describing an exemplary method for tracking an object using an impact event monitoring device according to one or more exemplary embodiments.

[0033] Fig.10 is a flow chart describing an exemplary method for displaying activity recognition and performance ranking of an object according to one or more exemplary embodiments.

[0034] Fig.11 is a flow chart describing an exemplary method for displaying the movement of an object during a collision according to one or more exemplary embodiments.

[0035] Fig.12 is a flow chart describing an exemplary method for detecting the location and direction of an impact after experiencing an impact with a person, according to one or more exemplary embodiments.

[0036] Fig.13 is a flow chart describing an exemplary method for detecting the location and direction of an impact after experiencing an impact with a person, according to one or more exemplary embodiments.

[0037] Fig.14 is a block diagram illustrating details of a digital processing system in which various aspects of the present disclosure may be implemented by executing appropriate software instructions. DETAILED DESCRIPTION

[0038] It should be understood that the application of the present disclosure is not limited to the structural details and component arrangements described below or in the accompanying drawings. The present disclosure may also have other embodiments and may be implemented or executed in various ways. In addition, it should be understood that the words and terms used herein are for descriptive purposes and should not be considered as limiting.

[0039] As used herein, "include," "comprises," or "has" and variations thereof are intended to include the items listed below and their equivalents as well as other items. The terms "a" and "an" herein do not indicate a quantitative limitation, but rather indicate that there is at least one of the items referred to. In addition, the use of the terms "first," "second," and "third," etc., do not indicate any order, quantity, or importance, but are used to distinguish one element from another.

[0040] refer to Figure 1 1 is a block diagram 100 of a schematic representation of a system for real-time monitoring, identifying and reporting impact events of objects according to one or more exemplary embodiments. Impact events may include, but are not limited to, non-accidental emergency events related to vehicles (such as vehicle theft), or emergency events related to vehicle occupants (such as medical injuries of vehicle occupants, routine events during strenuous activities, kidnapping or assault of vehicle occupants, etc.), unexpected emergency events related to vehicle or other transportation collisions, fires, medical emergencies, or other threats to safety, movement and motion, injuries, anomalies, etc. The system 100 includes an impact event monitoring device 102, a processing device 103, a first computing device 106, a second computing device 108, a network 110, a central database 112, and an impact event reporting module 114. The system 100 may include multiple impact event monitoring devices 102, multiple processing devices 103, and multiple computing devices 106, 108. The system 100 may link multiple impact event monitoring devices 102 , multiple processing devices 103 , and multiple computing devices 106 , 108 into a single hub that may display device information at a glance.

[0041] The impact event monitoring device 102 may be an inertial measurement unit. The impact event monitoring device 102 may be used to detect and track the movement of an object in three-dimensional space, and allow an individual to interact with the first computing device 106 by tracking the movement in free space and transmitting these movements as input commands. The impact event monitoring device 102 may be integrated into a first object, which may be a vehicle. Here, the impact event monitoring device 102 may be integrated into a steering wheel, a dashboard, a car seat (if the user does not need an image capture unit) of the vehicle. In an exemplary embodiment, the impact event monitoring device 102 may be integrated into a headband, a helmet, an electronic device, a product, etc. The impact event monitoring device 102 may be used to detect / perceive an impact event, an emergency event, an interruption, an impact, or an anomaly that occurs to an object / subject. The impact event monitoring device 102 may be used to activate a collision protocol (emergency protocol) to establish communication with the first computing device 106 and the second computing device 108 via the network 110 through the impact event reporting module 114. Objects may include, but are not limited to, vehicles, car seats, wristbands, helmets, headbands, etc. The object may be an individual. Individuals may include, but are not limited to, first end users, drivers, athletes, motorists, passengers, vehicle owners, vehicle users, etc.

[0042] The network 110 may include, but is not limited to, an Internet of Things (IoT network device), Ethernet, a wireless local area network (WLAN) or a wide area network (WAN), a low-energy Bluetooth network, a ZigBee network, a WIFI communication network such as wireless high-speed Internet or a combination of networks, a cellular service such as 4G (such as LTE, mobile WiMAX) or 5G cellular data service, an RFID module, an NFC module, a wired cable such as the Internet based on the global network, or other types of networks may include transmission control protocol / Internet protocol (TCP / IP) or device addresses (such as network-based MAC addresses, or addresses provided in proprietary network protocols (such as Modbus TCP), or by using appropriate data feeds to obtain data from various network services, including retrieving XML data from an HTTP address and then traversing the XML for a specific node), etc., but does not limit the scope of the present disclosure. The impact event reporting module 114 can be used to establish communication between the impact event monitoring device 102 and the first computing device 106 through the network 110.

[0043] The first computing device 106 and the second computing device 108 may be operatively coupled to each other via a network 110. The first and second computing devices 106 and 108 may include, but are not limited to, computer workstations, interactive kiosks, and personal mobile computing devices, such as digital assistants, mobile phones, laptops, storage devices, back-end servers hosting databases and other software, and the like. The first computing device 106 may be operated by an individual. The second computing device 108 may be operated by an emergency service provider. The emergency service provider may include, but is not limited to, a second end user, a medical professional, a medical examiner, an emergency rescuer, an emergency agency medical practitioner, a doctor, a physician, a transportation industry authority, a vehicle industry authority, an insurance company, a family member, a friend, a relative, a neighbor, and the like.

[0044] Although Figure 1 First and second computing devices 106, 108 are shown, but embodiments of the system 100 may support any number of computing devices. Each computing device supported by the system 100 is implemented as a computer-implemented or computer-based device having the hardware or firmware, software and / or processing logic required to perform the intelligent messaging techniques and computer-implemented methods described in more detail herein.

[0045] The crash event reporting module 114 can be accessed as a mobile application, a web application, software that provides access to mobile application functions, and viewing / processing of interactive pages, for example, implemented in the first and second computing devices 106, 108, as will be apparent to those skilled in the relevant art by reading the disclosure provided herein. The crash event reporting module 114 can be downloaded from a cloud server (not shown). For example, the crash event reporting module 114 can be downloaded from a GOOGLE (for Google Android devices), Apple's APP Any suitable application downloaded from (for Apple devices or any other suitable database). In some embodiments, the impact event reporting module 114 may be software, firmware, or hardware integrated into the first and second computing devices 106 , 108 .

[0046] The processing device 103 may include but is not limited to a microcontroller (e.g., ARM7 or ARM11), a raspberry pi3 or Pine 64 or any other 64-bit processor capable of running a Linux operating system, a microprocessor, a digital signal processor, a microcomputer, a field programmable gate array, a programmable logic device, a state machine or logic circuit, an Arduino board. The impact event monitoring device 102 includes a plurality of sensors (e.g., Figure 2As shown, 204a, 204b and 204c, 206a, 206b and 206c, 208a, 208b and 208c) can be electrically coupled to the processing device 103.

[0047] According to an exemplary embodiment of the present disclosure, a system for real-time monitoring, identifying and reporting impact events includes an impact event monitoring device, which is used to monitor impact events of objects and subjects through a processing device 103, and the processing device 103 can be used to identify the accurate position and location of objects and subjects and impact parameters. The accurate position and location may include but are not limited to the head and / or body position of the object, the geographic location of the object, the geographic location of the object, etc. The impact parameters may include but are not limited to quaternions, Euler angles, vital statistics, the rotation angle of an individual's head and the object, the movement / motion of an individual or an object, positioning acceleration and gyroscope vector, speed, positioning, etc. The measured impact parameters can be transmitted to the processing device 103. The processing device 103 can be used to analyze the measured impact parameters and create impact data, as well as identify the direction and location of one or more impact events of the impact event. The impact data includes linear acceleration, angular acceleration and accurate location of the impact event. The processing device 103 can be used to enable the image capture unit 216 (such as Figure 2 The object can include individuals. Individuals may include but are not limited to first end users, drivers, athletes, drivers, passengers, car owners, vehicle users, etc.

[0048] Network module 218 (such as Figure 2 The first computing device 106 and the second computing device 108 may include a crash event reporting module 114. The crash event reporting module 114 may be used to receive crash data of the crash event from the processing device 103. The crash event reporting module 114 may be used to enable an emergency service provider to determine the severity of the crash event on the second computing device 108 to provide better treatment to the individual. The crash event reporting module 114 is used to enable the first computing device 106 and the second computing device 108 to analyze the exact location and location of objects and subjects to understand the scope of the crash event.

[0049] According to an exemplary embodiment of the present disclosure, a system for real-time monitoring, identifying and reporting impact events includes an impact event monitoring device 102, which can be used to monitor impact events of objects and subjects, and the impact event monitoring device 102 can be used to identify the exact position and location of objects and subjects, and activate the impact protocol to establish communication with a first computing device 106 and a second computing device 108 through a network 110, and the impact event monitoring device 102 can be used to send notifications of impact events of objects and subjects to the second computing device 108 through the network 110.

[0050] A method for real-time monitoring, identification and reporting of impact events, comprising: monitoring objects and subjects through an impact event monitoring device 102; detecting accurate position, location and impact parameters through the impact event monitoring device 102; capturing and recording objects and subjects, and establishing communication between the impact event monitoring device 102 and a first computing device 106 and a second computing device 108 through a network module 218; transmitting impact data of the impact event to the second computing device through a processing device; receiving impact data of the impact event through an impact event reporting module on the second computing device. The impact data includes accurate position and location, impact parameters and media files, enabling emergency service providers to determine the severity of the impact event on the second computing device to provide better treatment to the individual.

[0051] refer to Figure 2 is described according to one or more exemplary embodiments Figure 1 Block diagram 200 of the impact event monitoring device 102 is shown. The impact event monitoring device 102 includes a processing device 103, a plurality of sensors including a first group of sensors 204a, 204b and 204c, a second group of sensors 206a, 206b and 206c, a third group of sensors 208a, 208b and 208, an impact sensing unit 210, a motion detection unit 212, a GPS module 214, an image capture unit 216 and a network module 218, a storage unit 220 and a display unit 222. The first group of sensors 204a, 204b, 204c, the second group of sensors 206a, 206b and 206c, and the third group of sensors 208a, 208b and 208c may include, but are not limited to, a gyroscope, an accelerometer, a compass, a pressure sensor and a magnetometer.

[0052] The first set of sensors 204a, 204b, and 204c can be electrically coupled to the processing device 103 and used to measure the linear acceleration and angular acceleration of each point during the impact event. The second set of sensors 206a, 206b, and 206c can be electrically coupled to the processing device 103 and used to calibrate the precise orientation by measuring Euler angles and / or quaternions. The third set of sensors 208a, 208b, and 208c can be electrically coupled to the processing device 103 and used to monitor vital statistics, the rotation angle of the individual's head and the object when the impact event occurs. The third set of sensors 208a, 208b, and 208c can also be used to provide additional data to emergency service providers to correctly diagnose the scope and severity of the impact event. The impact sensing unit 210 can be electrically coupled to the processing device 103 and used to detect and determine the impact event that occurred on the object / subject. The motion detection unit 212 can be electrically coupled to the processing device 103 and used to measure the change in orientation to continuously replicate the movement and / or motion of the object / subject. Based on the motion detection unit 212, the location and direction in which the surface was impacted is identified.

[0053] The GPS module 214 can be electrically coupled to the processing device 103 and used to detect the accurate location of the impact event suffered by the object / subject. The image capture unit 216 can be electrically coupled to the processing device 103 and used to record the video of the object / subject and capture the object / subject. For example, similar to real-time media, in a sense, before capturing real-time media, once the individual opens the impact event reporting module 114, the image capture unit 216 starts recording. Real-time media may include but is not limited to real-time photos, real-time media files, etc. The image capture unit 216 is used to reproduce the captured impact event (real-time media) in 3D space. The network module 218 can be electrically coupled to the processing device 103 and used to connect the impact event monitoring device 102 with the first computing device 106. The network module 218 is used to send the impact data and the location and direction of the identified impact event as a collision notification to the emergency service provider 108. The collision notification may include but is not limited to SMS, alarms, emails, warnings, etc. The network module 218 may also be used to send the geolocation as a communication link and information identifying the location of the object / subject to the second computing device 108 to communicate with the portion of the data stored in the storage unit 220. The information stored in the storage unit 220 may be stored at least until a receipt confirmation indicating successful transmission over the communication link is received. The storage unit 220 may be electrically coupled to the processing device 103 and used to receive movement or motion output and store at least a portion of the motion initiated at and / or before the determination. The storage unit 220 may include the impact event reporting module 114. The display unit 222 may be electrically coupled to the processing device 103 and used to display impact parameters, impact notifications, etc.

[0054] According to an exemplary embodiment of the present disclosure, the impact event monitoring device 102 includes a first group of sensors 204a, 204b and 204c for measuring the linear acceleration and angular acceleration of the sensor array. The second group of sensors 206a, 206b and 206c are used to calibrate the orientation of objects and subjects by measuring Euler angles and / or quaternions. The third group of sensors 208a, 208b and 208c are used to monitor the vital statistics and rotation angle of the head of the object when the impact event occurs. The third group of sensors 208a, 208b and 208c are used to provide additional impact parameters to the second computing device 108 to correctly diagnose the scope and severity of the impact event and estimate the impact intensity of the object / object. Emergency service providers include transportation industry authorities, second end users, vehicle industry authorities and insurance companies of objects / objects that can estimate the impact intensity of objects / objects.

[0055] The impact sensing unit 210 can be used to detect and determine impact events to objects and subjects. The motion detection unit 212 can be used to measure changes in orientation to continuously replicate the movement and / or motion of objects and subjects. The GPS module 214 can be used to detect the accurate location of impact events to objects and subjects. The network module 218 can be used to establish communication between the impact event monitoring device 102 and the first computing device 106 and the second computing device 108 to send notifications of impact events. The network module 218 can be used to send a communication link with a remote location and information identifying the location of objects and subjects to the second computing device 108 in order to transmit impact parameters stored in the storage unit 220 of the impact event monitoring device 102.

[0056] refer to Figure 3 is described according to one or more exemplary embodiments Figure 1 300 is a schematic representation of the crash event reporting module 114 shown. The crash event reporting module 114 includes a bus 301, an event monitoring module 302, a crash analysis module 304, an image capture module 306, a position detection module 308, a location detection module 309, an image processing module 310, and an alarm generation module 312. The bus 301 may include a path that allows communication between the various modules of the crash event reporting module 114 installed on the computing devices 106, 108. The term "module" is used in a broad sense in this article and generally refers to a program that resides in the memory of the computing devices 106, 108. The crash event reporting module 114 may include machine learning techniques and computer-implemented pattern recognition techniques to detect anomalies or changes in normal behavior.

[0057] The impact event monitoring module 302 can be used to read the impact parameters of the object / subject and store them in the central database 112. The impact parameters can be measured by the impact event monitoring device 102. The impact parameters can include but are not limited to quaternions, Euler angles, vital statistics, rotation angles of personal heads or objects, movement and / or motion of individuals and objects, geolocation, acceleration and gyroscope vectors, speed, positioning, etc. The impact analysis module 304 can be used to analyze the impact events received from the processing device 103. The image capture module 306 can be used to capture objects / objects. The image capture module 306 can be used to move the media files of the impact event forward and backward relative to time so that the second terminal user can see the impact event from any angle. The media files can include but are not limited to media files of images, pictures, videos, GIFs, etc. The media files can be moved forward and backward relative to time, and the objects / objects can also be depicted accordingly.

[0058] The position detection module 308 may be used to obtain the position of the object / subject "x" seconds before the impact interruption and "x" seconds after the impact interruption. The image processing module 310 may be used to convert the obtained "2x" second object / object position into a short animation / video to reproduce the exact position of the object / object when the impact event occurred. The alert generation module 312 may be used to generate an impact notification to the second computing device 108 so that the emergency service provider can estimate the scope of the impact event. The impact notification may enable the emergency service provider to determine and understand the severity of the impact event.

[0059] According to an exemplary embodiment of the present disclosure, the impact event reporting module 114 includes an event monitoring module 302, which can be used to read the impact parameters of objects and subjects. The impact analysis module 304 can be used to analyze the impact event received from the processing device 102. The image capture module 306 can be used to move the media file of the impact event back and forth relative to time, and the object / subject can be depicted accordingly. The position detection module 308 can be used to obtain the head and / or body position of the object before and after the impact event. The positioning detection module 309 can be used to obtain the geographic location (geolocation) of the object and / or object before and after the impact event. The alarm generation module 312 can be used to transmit a notification of the impact event to the second computing device 108 so that the emergency service provider can estimate the scope of the impact event.

[0060] refer to Figure 4 is described according to one or more exemplary embodiments Figure 34. Block diagram 400 of a schematic representation of the impact analysis module 304 shown. The impact analysis module 304 includes a bus 401, an impact direction detection module 402, a linear acceleration collection module 404, and an angular acceleration collection module 406. The bus 401 may include a path that allows communication between modules of the impact analysis module 304 installed on the computing devices 106 and 108. The linear acceleration collection module 404 may be used to collect linear acceleration data for each point of impact. The angular acceleration collection module 406 may be used to collect angular acceleration data for each point of impact. The impact direction detection module 402 may be used to construct a functional relationship between the force and time of an object during an impact event using the linear acceleration data and the angular acceleration data. The object here may be a helmet. By analyzing the transfer of momentum during an impact event, the force vector on the object may be used to construct an impact force vector.

[0061] refer to Figure 5 5 is an exemplary embodiment 500 of a schematic representation of an impact direction detection module 402 for analyzing momentum transfer during an impact between objects. Schematic diagram 500 may include a helmet (A) 502, an object (B) 504, an initial velocity of a rider wearing a helmet (V1A) 506, a final velocity of the helmet after the impact (V2A) 508, and a final velocity of the object (V2B) 510. The objects herein may include, but are not limited to, vehicles, etc. If an object may collide elastically. An elastic collision refers to a collision in which the kinetic energy of an object can be conserved before and after the impact. If the object that is impacted is at rest, then after the impact, the conservation of linear momentum is analyzed.

[0062] For the helmet and the object, the conservation of linear momentum is:

[0063]

[0064] For elastic collisions, kinetic energy is conserved, and the equation is:

[0065] 1 / 2m A (V 1A ) 2 =1 / 2m A (V 2A ) 2 +1 / 2m B (V 2B ) 2 ...........2

[0066] According to the above two equations, we can find V 2B and V 2A Vector.B 2B The vector will pass through the point of contact. Find the point of contact, which is the vector B passing through 2B The last bit of the helmet.

[0067] The opposite direction of vector V2B => -V2B will be the direction in which the helmet will be hit.

[0068] refer to Fig. 6A and Figure 6B 600a, 600b are exemplary embodiments of schematic representations of a frontal collision of two objects. The diagrams 600a, 600b may include an object (A) 602 and an object (B) 604. The object (A) herein may include a vehicle, a helmet, etc., and the object (B) may include a road, a sidewalk, a pedestrian, or another vehicle. Fig. 6A Describes the situation of a head-on collision of two objects according to the conservation of linear momentum.

[0069] The momentum of the impact can be distributed between the two objects, namely object (A) and object (B). Figure 6B One of the impacting objects shown (for example, object (A)) is a rigid body, and in the collision, most of the momentum of the impact can be transferred back to the other object (B). Figure 6B In the example above, the kinetic energy of objects (A, B) can be conserved after the collision.

[0070]

[0071] Where, ΔV b →0 (tends to 0) and v a →B a (Close to original speed)

[0072] For other types of collisions, if one of the objects (B) is a rigid body, then the object (A) will experience both linear and rotational motion from the collision. The angular velocity of the rotational motion can be proportional to the angle of impact.

[0073] The object (B) can be free in all axes and the rotational velocity can be displayed in all three axes. Based on the impact location, the rotational velocity in each axis can be in different proportions to the impact plane. If the impact occurs in the YZ plane, the rotational velocity in the Y and Z axes is higher. The impact location quadrant can be determined based on the velocity magnitude and the impact plane and impact location. This quadrant can be drawn by looking at different velocity magnitudes and rotation axes.

[0074] refer to Figure 6C and Fig.6D 600c and 600d are another exemplary embodiment of a schematic representation of a frontal collision of two objects. 600a and 600b may include object (A) 602 and object (B) 604. Object (A) may include a vehicle, a helmet, etc., and object (B) may include a road, a sidewalk, a pedestrian, or another vehicle.

[0075] Figure 6CDescribes a head-on collision of two objects according to the law of conservation of linear momentum. The momentum of the impact can be divided between the two objects, namely, object (A) and object (B). Fig.6D It shows that one of the impacting objects (for example, object (A)) is a rigid body and most of the impact momentum can be transferred back to the other object (B) in the collision. Fig.6D In the example, the kinetic energy of objects (A, B) can be conserved after the collision (e.g. Figure 6C shown).

[0076]

[0077] Where, ΔV b →0 (tends to 0) and v a →V a (Close to original speed)

[0078] For other types of collisions, if one of the objects (B) is a rigid body, then the object (A) will experience both linear and rotational motion from the collision. The angular velocity of the rotational motion can be proportional to the angle of impact.

[0079] The object (B) can be free in all axes and the rotational velocity can be displayed in all three axes. Based on the impact location, the rotational velocity in each axis can be in different proportions to the impact plane. If the impact occurs in the YZ plane, the rotational velocity in the Y and Z axes is higher. The impact location quadrant can be determined based on the velocity magnitude and the impact plane and impact location. This quadrant can be drawn by looking at different velocity magnitudes and rotation axes.

[0080] refer to Fig. 6E , Fig. 6F , Figure 6G 600e, 600f, 600g are exemplary embodiments illustrating a first object at different angles during a collision with another object.

[0081] refer to Figure 7 A flowchart 700 is provided for describing an exemplary method for analyzing an impact direction according to one or more exemplary embodiments. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F and Figure 6G However, the exemplary method 700 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0082] The method starts at step 702, where an event monitoring device is mounted on an object. Then, in step 704, communication is established between the impact event monitoring device and the first computing device via a network through a collision event reporting module. Then, in step 706, multiple sensors of the impact event monitoring device monitor the object / object to detect an emergency. In step 708, it is determined whether the impact event monitoring device detects any impact event. If the answer to step 708 is "yes", the method continues in step 710, where the linear acceleration and angular acceleration of each impact point are collected by the linear acceleration module and the angular acceleration module. Then, in step 712, the linear acceleration data is converted into a function of time. Then, in step 714, the angular acceleration data is converted into a function of time. Then, in step 716, the linear acceleration is mapped to the linear impact point of the object / object. Thereafter, in step 718, the angular acceleration is mapped to the angular impact point of the object / object. The objects herein may include but are not limited to vehicles, and the objects may be individuals. Then, in step 720, the impact force vector is detected from the linear impact point and the angular impact point. Then at step 720 , the impact force vector is analyzed to detect the precise / accurate location and direction of the impact. If the answer at step 708 is “no,” the method redirects to step 706 .

[0083] refer to Figure 8 800 is a flowchart describing an exemplary method for reporting a crash event to an emergency service provider according to one or more exemplary embodiments. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G and Figure 7 However, the exemplary method 800 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0084] The method starts at step 802, where a collision event monitoring device is mounted on an object. Thereafter, at step 804, communication is established between the collision event monitoring device and the first computing device via a network through a collision event reporting module. Thereafter, at step 806, the object / object is monitored by the collision event monitoring device to detect a collision event occurring on the object / object. At step 808, it is determined whether the collision event monitoring device detects any collision event, interruption, collision or anomaly. If the answer to step 808 is "yes", the method continues at step 810, where the image capture unit captures the position of the object / object "x" seconds before and "x" seconds after the collision event. Thereafter, at step 812, the media file of the object / object is converted into an animated video to detect the exact position and location of the object / object when the collision event occurs. Thereafter, at step 814, the exact position and location are detected by obtaining additional collision parameters from the sensor, and the exact position and location are reported to the second computing device through the collision event reporting module. Thereafter, at step 816, the exact position and location of the object / object are analyzed by the emergency service provider to understand the scope of the collision. If the answer to step 808 is “no”, the method redirects to step 806 .

[0085] refer to Fig. 9 900 is a flowchart describing an exemplary method for tracking an object using an impact event monitoring device according to one or more exemplary embodiments. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G , Figure 7 and Figure 8 However, the exemplary method 900 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0086] The method starts at step 902, using a collision event monitoring device to detect calibration of an object in a stationary position. Then, at step 904, the collision event monitoring device is used to read quaternion data, Euler angles, acceleration and gyroscope vectors, velocity and positioning (impact parameters). Then, at step 906, the quaternion data obtained by the collision event monitoring device is used to track the moving object and measure the statistical data of the object. Then, at step 908, a graph, chart of the statistical data of the object and the performance of the object are displayed on a display unit.

[0087] refer to Fig.10 1 is a flowchart 1000 describing an exemplary method for displaying activity recognition and performance ranking of an object according to one or more exemplary embodiments. As an option, the exemplary method 1000 may be performed in Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G , Figure 7 , Figure 8 and Fig. 9 However, the exemplary method 1000 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0088] The method starts at step 1002, using a collision event monitoring device to detect calibration of an object in a stationary position. Then, in step 1004, the collision event monitoring device is used to read quaternions, Euler angles, acceleration and gyroscope vectors, velocity and positioning. Then, in step 1006, the collision parameters of the object are stored in a central database. Then, in step 1008, the mode of the object is identified based on the real-time collision parameters. Then, in step 1010, the activity identification and performance classification of the object are displayed on a display unit.

[0089] refer to Fig.11 1 is a flowchart 1100 describing an exemplary method for displaying the movement of an object during a collision according to one or more exemplary embodiments. As an option, the exemplary method 1000 may be performed in Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G , Figure 7 , Figure 8 , Fig. 9 and Fig.10 However, the exemplary method 1100 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0090] The method begins at step 1102, where a collision event monitoring device is used to detect calibration of an object / subject in a stationary position. Then, at step 1104, the quaternion data, Euler angles, acceleration and gyroscope vectors, velocity and positioning (impact parameters) of the object / subject are read using the collision event monitoring device. Then, at step 1106, the impact parameters of the object / object are stored in a central database. At step 1108, the collision event monitoring device is used to determine from the accelerometer data whether any anomaly or collision interruption is detected. If the answer to step 1108 is "yes", the method continues at step 1110, recording the head position within a predetermined time (e.g., 5 seconds) after the collision interruption. Then, in step 1112, the movement of the object / object during the collision is displayed on the display unit. If the answer to step 1108 is "no", the method is redirected to step 1104.

[0091] refer to Fig.12 1 is a flowchart 1200 describing an exemplary method for detecting the location and direction of an impact after experiencing a personal impact according to one or more exemplary embodiments. As an option, the exemplary method 1000 Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G , Figure 7 , Figure 8 , Fig. 9 , Fig.10 and Fig.11 However, the exemplary method 1200 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0092] The method starts at step 1202, calibrating the first set of sensors, the second set of sensors, and the third set of sensors in the helmet. At step 1204, it is determined whether an impact event is detected with a predetermined threshold (e.g., >10g). If the answer to step 1204 is "yes", the method continues to step 1206, using the first set of sensors, the second set of sensors, and the third set of sensors to collect the linear acceleration and angular acceleration of each point of the impact event. Thereafter, in step 1208, the linear and angular acceleration data points are converted to a function of time. Thereafter, in step 1210, the angular acceleration data points are converted to a function of time. Thereafter, in step 1212, the acceleration function is mapped to the linear impact point on the helmet. Thereafter, in step 1214, the linear acceleration function is mapped to the linear impact point on the helmet. Thereafter, in step 1216, the impact force vector is detected from the linear impact point and the angular impact point. Thereafter, in step 1218, the precise impact force vector is analyzed to detect the location and direction of the impact. If the answer to step 1204 is "no", the method continues to step 1202.

[0093] refer to Fig.13 1 is a flowchart 1300 describing an exemplary method for detecting the location and direction of an impact after experiencing a personal impact according to one or more exemplary embodiments. As an option, the exemplary method 1300 Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Fig. 6A , Figure 6B , Figure 6C , Fig.6D , Fig. 6E , Fig. 6F , Figure 6G , Figure 7 , Figure 8 , Fig. 9 , Fig.10 , Fig.11 and Fig.12 However, the exemplary method 1300 may be performed in any desired environment. In addition, the above definitions also apply to the following description.

[0094] The method starts at step 1302, where a collision event monitoring device measures collision parameters through a sensor. Then, in step 1304, the measured collision parameters are transmitted to a processing device through a sensor. Then, in step 1306, the measured collision parameters of the collision event are received and analyzed by the processing device. Then, in step 1308, the processing device creates collision data and identifies the direction and location of the collision event. Then, in step 1310, the processing device transmits the collision data of the collision event to a second computing device through a network. Then, in step 1312, the collision data and the identified direction and location of the collision event are received by a collision event reporting module on the second computing device. Then, in step 1314, an emergency service provider is enabled to determine the severity of the collision event on the second computing device to provide better treatment to the individual.

[0095] refer to Fig.14 1400 is a block diagram illustrating details of a digital processing system 1400 in which various aspects of the present disclosure may be implemented by executing appropriate software instructions. Digital processing system 1400 may correspond to computing devices 106, 108 (or any other system in which the various functions disclosed above may be implemented).

[0096] The digital processing system 1400 may include one or more processors, such as a central processing unit (CPU) 1410, a random access memory (RAM) 1420, a secondary memory 1430, a graphics controller 1460, a display unit 1470, a network interface 1480, and an input interface 1490. All components except the display unit 1470 can communicate with each other via a communication path 1450, which may include several buses, as is well known in the relevant technical field. This will be further described in detail below. Fig.14 Components in .

[0097] CPU 1410 can execute instructions stored in RAM 1420 to provide several functions of the present disclosure. CPU 1410 may include multiple processing units, each of which may be designed for a specific task. Alternatively, CPU 1410 may include only one general-purpose processing unit.

[0098] RAM 1420 may receive instructions from secondary storage 1430 using communication path 1450. RAM 1420 is shown to currently contain software instructions, such as instructions used in threads and stacks, constituting a shared environment 1425 and / or a user program 1426. Shared environment 1425 includes an operating system, device drivers, virtual machines, etc., which provide a (common) runtime environment for the execution of user program 1426.

[0099] Graphics controller 1460 generates a display signal (e.g., in RGB format) based on data / instructions received from CPU 1410 and sends it to display unit 1470. Display unit 1470 includes a display screen for displaying images defined by the display signal. Input interface 1490 may correspond to a keyboard and a pointing device (e.g., a touch pad, a mouse), and may be used to provide input. Network interface 1480 provides a connection to a network (e.g., using an Internet protocol), and may be used to communicate with other systems (e.g., a computer) connected to network 110. Figure 1 Those systems shown in ) communicate.

[0100] Secondary storage 1430 may include hard disk drive 1435, flash memory 1436, and removable storage drive 1437. Secondary storage 1430 may store data software instructions (e.g., for performing the operations described above with reference to the figures) that enable digital processing system 1400 to provide several functions in accordance with the present disclosure.

[0101] Some or all of the data and instructions may be provided to removable storage unit 1440, which may be read by removable storage drive 1437 and provided to CPU 1410. A floppy drive, a tape drive, a CD-ROM drive, a DVD drive, a flash memory, a removable storage chip (PCMCIA card, EEPROM) are all examples of such removable storage drive 1437.

[0102] The removable storage unit 1440 may be implemented using media and storage formats that are compatible with the removable storage drive 1437, so that the removable storage drive 1437 can read data and instructions. Thus, the removable storage unit 1440 includes a computer-readable (storage) medium having computer software and / or data stored therein. However, computer (or general machine) readable media may also take other forms (e.g., non-removable, random access, etc.).

[0103] As used herein, the term "computer program product" generally refers to removable storage unit 1440 or a hard disk installed in hard disk drive 1435. These computer program products are a means of providing software to digital processing system 1400. CPU 1410 can retrieve the software instructions and execute the instructions to provide the various functions of the present disclosure described above.

[0104] The term "storage medium / media" as used herein refers to any non-temporary medium that stores data and / or instructions that cause a machine to operate in a particular manner. Such storage media may include non-volatile media and / or volatile media. Non-volatile media include, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 1430. Volatile media include dynamic memory, such as RAM 1420. Common forms of storage media include, for example, floppy disks, flexible disks, hard disks, solid-state drives, magnetic tapes or any other magnetic data storage media, optical disks, any other optical data storage media, any physical media with hole morphology, RAM, PROM and EPROM, FLASH-EPROM, NVRAM, any other memory chip or cassette tape.

[0105] Storage media are distinct from, but may be used in conjunction with, transmission media. Transmission media participate in the transmission of information between storage media. For example, transmission media include coaxial cables, copper wires, and optical fibers, including the wires that make up bus (communication path) 1450. Transmission media may also take the form of sound or light waves, such as those generated during radio wave and infrared data communications.

[0106] In certain embodiments, the system 100 is used to identify the location and direction of a crash event in real time. The system 100 includes a crash event monitoring device 102. The crash event monitoring device 102 includes a plurality of sensors 204a, 204b, 204c, 206a, 206b, 206c, 208a, 208b, 208c, a processing device 103, and a storage unit 220, whereby the sensors 204a, 204b, 204c, 206a, 206b, 206c, 208a, 208b, 208c, and the storage unit 220 are electrically coupled to the processing device 103.

[0107] In some embodiments, one or more sensors 204a, 204b, 204c, 206a, 206b, 206c, 208a, 208b, 208c are configured to measure one or more impact parameters, wherein the one or more impact parameters include quaternions, Euler angles, vital statistics, rotation angle of a person's head and an object, motion of a person and an object, gyroscope vectors, and velocity.

[0108] In some embodiments, the measured impact parameters are transmitted to the processing device 103. The processing device 103 is used to analyze the measured impact parameters to create impact data and identify the direction and location of one or more impact events. The impact data includes linear acceleration and angular acceleration of one or more impact events.

[0109] In some embodiments, the second computing device 108 includes a crash event reporting module. The crash event reporting module 114 is configured to receive the crash data and the direction and location of the identified crash event from the processing device 103, thereby enabling emergency service providers to determine the severity of one or more crash events to provide better treatment to the individual.

[0110] Throughout this specification, "one embodiment", "an embodiment" or similar terms refer to a particular feature, structure or characteristic described in conjunction with the embodiment being included in at least one embodiment of the present disclosure. Therefore, the phrases "in one embodiment", "in an embodiment" or similar terms appearing in this specification may, but do not necessarily, refer to the same embodiment.

[0111] In addition, the features, structures or characteristics described in the present disclosure may be combined in any suitable manner in one or more embodiments. In the above description, many specific details are provided, such as examples of programming, software modules, user selection, network transactions, database queries, database structures, hardware modules, hardware circuits, hardware chips, etc., to provide a thorough understanding of the embodiments of the present disclosure.

[0112] Although the present disclosure has been described in terms of certain preferred embodiments and their descriptions, other embodiments and modifications to the preferred embodiments are possible within the scope of the principles of the present invention. Therefore, the above description and drawings should be regarded as illustrative rather than restrictive.

[0113] Therefore, the scope of the present disclosure is defined by the appended claims, including both combinations and sub-combinations of the various features described above, as well as various changes and modifications that would occur to persons skilled in the art upon reading the above description.

Claims

1. A system for real-time identification of the location and direction of an impact event, comprising: an impact event monitoring device, the impact event monitoring device comprising one or more sensors, a processing device, and a storage unit, wherein the one or more sensors and the storage unit are electrically coupled to the processing device; The one or more sensors are used to measure one or more impact parameters, wherein the one or more impact parameters include quaternions, Euler angles, vital statistics, rotation angles of the individual's head and the object, motion of the individual and the object, gyroscope vectors, and velocity; one or more measured impact parameters are transmitted to the processing device, whereby the processing device is used to analyze the one or more measured impact parameters to create impact data and identify the direction and location of one or more impact events, wherein the impact data includes linear acceleration and angular acceleration; and A second computing device, the second computing device including a crash event reporting module, wherein the crash event reporting module is used to receive the crash data and the identified direction and identified location of the one or more crash events from the processing device, thereby enabling an emergency service provider to determine the severity of the one or more crash events to provide better treatment to the individual.

2. The system according to claim 1, wherein the storage unit includes the impact event reporting module, which is used to receive the impact data and the identified direction and identified location of the one or more impact events, and transmit the impact data and the identified direction and identified location to the second computing device. 3 . The system of claim 1 , further comprising a central database for storing the one or more impact parameters and the impact data, and the identified directions and identified locations of the one or more impact events.

4. The system of claim 1, wherein the impact event reporting module includes an impact analysis module for analyzing the one or more impact parameters to create the impact data and identifying a direction and location of one or more impact events.

5. The system of claim 1, wherein the impact event reporting module includes an image capture module for capturing one or more objects and individuals after experiencing the one or more impact events.

6. The system of claim 1, wherein the impact event reporting module includes a position detection module for obtaining the position of the head and body of the individual before and after experiencing the one or more impact events.

7. The system of claim 1, wherein the impact event reporting module includes a positioning detection module for obtaining accurate geographic locations of one or more objects and individuals before and after experiencing the one or more impact events.

8. A system according to claim 1, wherein the impact event reporting device includes an image processing module, which is used to convert the obtained "2x" second one or more object and individual positions into a short animation and video of the exact position of the one or more objects and individuals when the one or more impact events occurred.

9. The system of claim 1 , wherein the impact event reporting device comprises an alert generation module for transmitting the impact data, and the identified direction and identified location of the one or more impact events as a real-time notification to the second computing device. 10 . The system according to claim 4 , wherein the impact analysis module comprises a linear acceleration collection module, the linear acceleration collection module being configured to collect linear acceleration data of each point of the impact event. 11 . The system according to claim 4 , wherein the impact analysis module comprises an angular acceleration collection module, wherein the angular acceleration collection module is used to collect angular acceleration data of each point of the impact event.

12. The system according to claim 4, wherein the impact analysis module includes an impact direction detection module, and the impact direction detection module is used to use the linear acceleration data and angular acceleration data collected by the linear acceleration collection module and the angular acceleration collection module to construct a functional relationship between the force exerted on the object and time during the impact event.

13. The system of claim 1, wherein the impact event monitoring device includes a motion detection unit for measuring changes in one or more orientations to continuously replicate the movement and motion of one or more objects and individuals.

14. The system of claim 1, wherein the impact event monitoring device includes a GPS module for detecting the exact location of one or more objects and individuals when the one or more impact events occur.

15. The system of claim 1, wherein the impact event monitoring device includes an image capture unit for recording video and capturing images of one or more objects and individuals.

16. A system according to claim 1, wherein the impact event monitoring device includes a network module, the network module is used to connect the impact event monitoring device with a first computing device, and the network module is used to send the impact data and the identified direction and identified location of the one or more impact events as an impact notification to the second computing device.

17. The system of claim 1, wherein the one or more sensors include one or more gyroscopes, one or more accelerometers, one or more compasses, one or more pressure sensors, one or more motion sensors, and one or more magnetometers.

18. A method for real-time identification of the location and direction of an impact event, comprising: One or more sensors measure one or more impact parameters; The one or more sensors transmit the measured one or more impact parameters to a processing device; The processing device receives and analyzes the one or more impact parameters of one or more impact events; The processing device creates impact data and identifies the direction and location of the one or more impact events; the processing device transmitting the created impact data and the identified directions and identified locations of the one or more impact events to a second computing device; The impact event reporting module on the second computing device receives the impact data and the identified directions and identified locations of the one or more impact events; and Enabling an emergency service provider to determine, on the second computing device, a severity of the one or more impact events to provide better treatment to the individual.

19. The method of claim 18, wherein the impact data includes linear acceleration and angular acceleration of the one or more impact events.

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