Method and system for identifying fall risk level

Abstract

The present invention discloses a method and system for identifying fall risk levels. The method comprises the following steps: obtaining shoe slippage information, ground surface information, and obstacle information; calculating a slippage risk level indicator based on the shoe slippage information; calculating a ground abnormality risk level indicator based on the ground surface information; calculating an obstacle risk level indicator based on the obstacle information; and calculating a fall risk level based on the slippage risk level indicator and / or the ground abnormality risk level indicator and / or the obstacle risk level indicator. The present invention solves the problem of how to effectively analyze fall risk levels based on shoe slippage, ground abnormality, and ground obstacle conditions.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart shoes, and in particular relates to a method and system for identifying fall risk levels. Background Art

[0002] Abnormalities such as slipping shoes, steep ground, wet ground, loose ground, potholes, or ground obstacles are important causes of falls. Technologies related to fall risk detection, such as the Chinese patent publication number CN112185063A, "A Fall Warning and Protection System and Method Based on Insole Pressure Sensing", proposes a system including multiple flexible pressure sensors, a Bluetooth transmitter and a first single-chip processor arranged on the insole, and a protective suit worn on the patient, with an alarm button, a buzzer, a Bluetooth receiver, a second single-chip processor, and an airbag arranged on the protective suit. The multiple flexible pressure sensors are electrically connected to the first single-chip processor, the first single-chip processor is electrically connected to the Bluetooth transmitter, the alarm button and the Bluetooth receiver are both electrically connected to the second single-chip processor, the output end of the second single-chip processor is electrically connected to the buzzer, the Bluetooth receiver, and the airbag, and the Bluetooth transmitter and the Bluetooth receiver are wirelessly connected. The Chinese patent publication number CN106887115B, "A Fall Monitoring Device for the Elderly and a Fall Risk Assessment Method," proposes a model for identifying falls and actions that may cause falls based on plantar pressure data: a hidden Markov model of continuous variables is used to model the pressure change patterns of different collection sites. Flexible array pressure sensors are set at the heel, big toe, first metatarsophalange, and fourth metatarsophalange. The physical meaning of the pressure at each point is the dynamic state of a single foot, and possible values include initial contact, forward push-off, backward push-off, and flight. Through training, the conditional probabilities and state transition probability matrix A of different pressure sensing points in different states are obtained, and the dynamic state of the single foot at the current moment is judged based on this. Then, based on the biomechanical characteristics of the alternating states of the two feet, it is inferred whether a fall action has occurred.

[0003] The above technical solution assesses fall risk based on the matching of plantar pressure with a fall model. However, this solution cannot effectively analyze the fall risk level based on shoe slippage, ground anomalies, or ground obstacles, nor can it provide different levels of treatment and alarms based on the fall risk level. Currently, there is no technical solution that effectively analyzes the fall risk level based on shoe slippage, ground anomalies, or ground obstacles. Therefore, a method and system for identifying fall risk levels are proposed. Summary of the Invention

[0004] In order to solve the above problems, the present invention proposes a method and system for identifying fall risk levels.

[0005] A method for identifying a fall risk level according to the present invention is characterized by comprising:

[0006] The slip risk level indicator value is calculated based on the relationship between shoe slip information and fall risk, and the fall risk level is identified based on this.

[0007] Preferably, the shoe slip information includes any one or a combination of sole friction information, ground smoothness information, and sole sliding distance information.

[0008] Preferably, the step of calculating the slip risk level indicator value based on the relationship between the shoe slip information and the fall risk comprises the following steps:

[0009] Calculating the sole slip indication value based on the relationship between the sole friction force and the pre-set sole slip friction force range;

[0010] Calculate the ground smoothness indication value based on the relationship between the ground smoothness and the pre-set ground smoothness range when the shoe slips;

[0011] Calculate the fall risk value based on the relationship between the shoe sole sliding distance information and the pre-set sliding distance range for slipping and falling;

[0012] The slip risk level indication value is calculated according to the sole slip indication value and / or the ground smoothness indication value and / or the fall risk value.

[0013] A method for identifying a fall risk level according to the present invention is characterized by comprising:

[0014] The ground abnormality risk level indicator value is calculated based on the relationship between ground information and fall risk, and the fall risk level is identified accordingly.

[0015] Preferably, the ground information includes any one or a combination of ground flatness information, ground movable object information, ground water and oil accumulation information, ground icing information, ground looseness information, and ground pothole information.

[0016] Preferably, the calculating of the ground abnormality risk level indicator value according to the relationship between ground information and fall risk comprises the steps of:

[0017] Calculating a ground flatness impact value based on ground flatness information and / or ground pothole information and a pre-set relationship between ground flatness and fall risk;

[0018] Calculating a ground looseness impact value based on information about movable objects on the ground and / or information about the looseness of the ground and a pre-set relationship between ground looseness and fall risk;

[0019] Calculate the ground sliding impact value based on the ground water and oil accumulation information and / or ground ice information and the pre-set relationship between ground smoothness and fall risk;

[0020] The ground anomaly risk level indication value is calculated according to the ground flatness impact value and / or the ground looseness impact value and / or the ground sliding impact value.

[0021] A method for identifying a fall risk level according to the present invention is characterized by comprising:

[0022] The obstacle risk level indicator value is calculated based on the relationship between obstacle information and fall risk, and the fall risk level is identified accordingly.

[0023] Preferably, the obstacle information includes any one or a combination of obstacle coverage information, obstacle height information, obstacle size information, and obstacle-ground connection information.

[0024] Preferably, the step of calculating the obstacle risk level indicator value based on the relationship between the obstacle information and the fall risk comprises the following steps:

[0025] The obstacle range impact value is calculated based on the degree of impact of the obstacle coverage on the passage and / or the distance between the obstacle coverage and the walking range;

[0026] Calculate the obstacle height impact value based on the effect of obstacle height and / or changes in obstacle height on the risk of falling;

[0027] Calculate the obstacle slip impact value based on the effect of the obstacle size and / or the firmness of the obstacle's connection to the ground on the risk of falling;

[0028] The obstacle risk level indicator value is calculated based on the obstacle range influence value and / or the obstacle height influence value and / or the obstacle sliding influence value.

[0029] A method for identifying a fall risk level according to the present invention is characterized by comprising:

[0030] The fall risk level is calculated based on the above-mentioned slip risk level indication value and / or ground abnormality risk level indication value and / or obstacle risk level indication value.

[0031] A computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the above method.

[0032] A system for identifying fall risk levels, comprising:

[0033] The shoe body and the fall detection device and data acquisition device installed in the shoe; the data acquisition device is used to obtain shoe slip information, ground information and obstacle information; the fall detection device is used to detect the fall risk level of a person, and the fall detection device includes:

[0034] processor;

[0035] Memory

[0036] and one or more programs; the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to execute the above method.

[0037] The advantages of the present invention are:

[0038] (1) The slip risk level indicator value is calculated based on the relationship between the sole friction and / or the ground smoothness and / or the sole sliding distance information and the pre-set relevant parameter range for slipping and falling, which can effectively identify the fall risk level when the sole slips.

[0039] (2) The ground abnormality risk level indicator value is calculated based on the relationship between the flatness of the ground and / or the information of movable objects on the ground and / or the looseness of the ground and / or the water and oil accumulation on the ground and / or the ice information on the ground and the risk of falling, which can effectively identify the risk level of falling when the ground is abnormal.

[0040] (3) The obstacle risk level indicator value is calculated based on the impact of the obstacle coverage on the passage and walking and / or the impact of the obstacle height and / or the obstacle size and / or the connection strength of the obstacle to the ground on the risk of falling, which can effectively identify the fall risk level when there is an obstacle ahead.

[0041] (4) The fall risk level is calculated based on the fall risk situation when the soles of the feet slip and / or the fall risk situation when there is an abnormality in the ground and / or the fall risk situation when there is an obstacle in front of the walking. The risk level during walking can be effectively determined from multiple dimensions, which is convenient for subsequent processing or alarm of corresponding levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flowchart of the steps of a method for identifying a fall risk level according to an embodiment of the present invention;

[0043] Figure 2 4 is a schematic diagram of a framework of a system for identifying fall risk levels according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The preferred embodiments of the present invention are described in detail below.

[0045] An embodiment of a method for identifying a fall risk level according to the present invention is characterized by comprising:

[0046] Get shoe slip information;

[0047] The slip risk level indicator value is calculated based on the relationship between shoe slip information and fall risk, and the fall risk level is identified based on this.

[0048] Preferably, the shoe slip information includes any one or a combination of sole friction information, ground smoothness information, and sole slip distance information. In this embodiment, different types of shoes, such as elderly shoes, children's shoes, leather shoes, sports shoes, high heels, and sandals, have different structures and walking characteristics. Each type of shoe has different shoe slip information based on its structure and characteristics, including any one or a combination of sole friction information, ground smoothness information, and sole slip distance information.

[0049] Preferably, the step of calculating the slip risk level indicator value based on the relationship between the shoe slip information and the fall risk comprises the following steps:

[0050] Calculating the sole slip indication value based on the relationship between the sole friction force and the pre-set sole slip friction force range;

[0051] Calculate the ground smoothness indication value based on the relationship between the ground smoothness and the pre-set ground smoothness range when the shoe slips;

[0052] Calculate the fall risk value based on the relationship between the shoe sole sliding distance information and the pre-set sliding distance range for slipping and falling;

[0053] The slip risk level indication value is calculated according to the sole slip indication value and / or the ground smoothness indication value and / or the fall risk value.

[0054] In this embodiment, the sole slip indication value is calculated based on the relationship between the sole friction force and a pre-set sole slip friction range. The sole slip indication value is calculated based on a positive correlation between the degree of matching between the sole friction force and the pre-set sole slip friction range and the sole slip indication value. The degree of matching between the sole friction force and the pre-set sole slip friction range is a value within a range of 0-1. When the sole friction force is within the sole slip friction range, the matching degree is 1. Otherwise, the matching degree is calculated based on the difference between the sole friction force and the sole slip friction range. The sole slip indication value is represented by a variable m.

[0055] Calculating the ground smoothness indicator value based on the relationship between ground smoothness and a pre-set range of ground smoothness for shoe slippage is based on a positive correlation between the degree of matching between ground smoothness and the pre-set range of ground smoothness for shoe slippage and the ground smoothness indicator value. The degree of matching between ground smoothness and the pre-set range of ground smoothness for shoe slippage takes a value in the range of 0-1. If the ground smoothness is within the range of ground smoothness for shoe slippage, the matching degree is 1. Otherwise, the matching degree is calculated based on the difference between the ground smoothness and the range of ground smoothness for shoe slippage. The ground smoothness indicator value is represented by a variable n.

[0056] The fall risk value is calculated based on the relationship between the sole sliding distance information and the pre-set sliding distance range for slipping and falling. The fall risk value is calculated based on the positive correlation between the degree of matching between the sole sliding distance and the pre-set sliding distance range for slipping and the fall risk value. The degree of matching between the sole sliding distance and the pre-set sliding distance range for slipping is calculated within a range of 0-1. When the sole sliding distance is within the sliding distance range for slipping, the matching degree is 1. Otherwise, the matching degree is calculated based on the difference between the sliding distance and the sliding distance range for slipping. The fall risk value is represented by the variable z.

[0057] The method of calculating the slip risk level indication value based on the sole slip indication value and / or the ground smoothness indication value and / or the fall risk value is to calculate the slip risk level indication value based on the positive correlation between the slip risk level indication value and the sole slip indication value and / or the ground smoothness indication value and / or the fall risk value, and the slip risk level indication value is represented by the variable a.

[0058] A1 to A7 in Table A represent different implementation methods for calculating the slip risk level indicator value a, wherein the sole slip indicator value m, ground smoothness indicator value n, and fall risk value z involved in Table A are calculated using the calculation formula in the above implementation method.

[0059] Table A Different implementation methods for calculating the skid risk level indicator

[0060]

[0061]

[0062]

[0063]

[0064] The slip risk level indicator value ranges corresponding to different fall risk levels are set in advance, and the fall risk level is identified according to the range of the slip risk level indicator value a obtained by the calculation method of any one of the items in Table A.

[0065] In another preferred embodiment, a method for identifying a fall risk level is characterized by comprising:

[0066] Obtain ground information;

[0067] The ground abnormality risk level indicator value is calculated based on the relationship between ground information and fall risk, and the fall risk level is identified accordingly.

[0068] Preferably, the ground information includes any one or a combination of ground flatness information, ground movable object information, ground water and oil accumulation information, ground ice information, ground looseness information, and ground pothole information. In this embodiment, different types of shoes, such as elderly shoes, children's shoes, leather shoes, sports shoes, high heels, and sandals, have different structures and walking characteristics. Different ground information is provided based on the structure and characteristics of each type of shoe, including any one or a combination of ground flatness information, ground movable object information, ground water and oil accumulation information, ground ice information, ground looseness information, and ground pothole information.

[0069] Preferably, the calculating of the ground abnormality risk level indicator value according to the relationship between ground information and fall risk comprises the steps of:

[0070] Calculating a ground flatness impact value based on ground flatness information and / or ground pothole information and a pre-set relationship between ground flatness and fall risk;

[0071] Calculating a ground looseness impact value based on information about movable objects on the ground and / or information about the looseness of the ground and a pre-set relationship between ground looseness and fall risk;

[0072] Calculate the ground sliding impact value based on the ground water and oil accumulation information and / or ground ice information and the pre-set relationship between ground smoothness and fall risk;

[0073] The ground anomaly risk level indication value is calculated according to the ground flatness impact value and / or the ground looseness impact value and / or the ground sliding impact value.

[0074] In this embodiment, the calculating of the ground flatness impact value based on the ground flatness information and / or ground pothole information and a pre-set relationship between ground flatness and fall risk is any one of: calculating the fall risk corresponding to the current ground flatness based on the pre-set relationship between ground flatness and fall risk and calculating the ground flatness impact value based on the positive correlation between the fall risk and the ground flatness impact value; calculating the fall risk corresponding to the current ground pothole information based on the pre-set relationship between ground flatness and fall risk and calculating the ground flatness impact value based on the positive correlation between the fall risk and the ground flatness impact value; calculating the fall risk corresponding to the current ground flatness and the ground pothole information based on the pre-set relationship between ground flatness and fall risk and calculating the ground flatness impact value based on the positive correlation between the fall risk and the ground flatness impact value. The ground flatness impact value is represented by a variable u.

[0075] The method of calculating the ground looseness impact value based on the ground movable object information and / or the ground looseness degree information and the pre-set relationship between ground looseness and fall risk is: calculating the fall risk corresponding to the current ground movable object information based on the pre-set relationship between ground looseness and fall risk and calculating the ground looseness impact value based on the positive correlation between fall risk and ground looseness impact value; calculating the fall risk corresponding to the current ground looseness degree information based on the pre-set relationship between ground looseness and fall risk and calculating the ground looseness impact value based on the positive correlation between fall risk and ground looseness impact value; calculating the fall risk corresponding to the current ground movable object information and ground looseness degree information based on the pre-set relationship between ground looseness and fall risk and calculating the ground looseness impact value based on the positive correlation between fall risk and ground looseness impact value, and any one of the following: the ground looseness impact value is represented by the variable v.

[0076] The method of calculating the ground sliding impact value based on the ground water and oil accumulation information and / or ground ice information and a pre-set relationship between the ground smoothness and the fall risk is: calculating the fall risk corresponding to the current ground water and oil accumulation information based on the pre-set relationship between the ground smoothness and the fall risk and calculating the ground sliding impact value based on the positive correlation between the fall risk and the ground sliding impact value; calculating the fall risk corresponding to the current ground ice information based on the pre-set relationship between the ground smoothness and the fall risk and calculating the ground sliding impact value based on the positive correlation between the fall risk and the ground sliding impact value; calculating the fall risk corresponding to the current ground water and oil accumulation information and the ground ice information based on the pre-set relationship between the ground smoothness and the fall risk and calculating the ground sliding impact value based on the positive correlation between the fall risk and the ground sliding impact value, and any one of the following: the ground sliding impact value is represented by the variable y.

[0077] The calculation of the ground abnormality risk level indication value based on the ground flatness impact value and / or the ground looseness impact value and / or the ground sliding impact value is based on the positive correlation between the ground abnormality risk level indication value and the ground flatness impact value and / or the ground looseness impact value and / or the ground sliding impact value, and the ground abnormality risk level indication value is represented by the variable b.

[0078] B1 to B7 in Table B represent different implementation methods for calculating the ground abnormality risk level indicator value b, wherein the ground flatness impact value u, ground looseness impact value v, and ground sliding impact value y involved in Table B are calculated using the calculation formula in the above implementation method.

[0079] Table B Different implementation methods for calculating ground anomaly risk level indicator values

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] The ground abnormality risk level indicator value range corresponding to different fall risk levels is set in advance, and the fall risk level is identified according to the range of the ground abnormality risk level indicator value b obtained by the calculation method of any item in Table B.

[0086] In another preferred embodiment, a method for identifying a fall risk level is characterized by comprising:

[0087] Obtaining information about obstacles;

[0088] The obstacle risk level indicator value is calculated based on the relationship between obstacle information and fall risk, and the fall risk level is identified accordingly.

[0089] Preferably, the obstacle information includes any one or a combination of obstacle coverage information, obstacle height information, obstacle size information, and information about the connection between the obstacle and the ground. In this embodiment, different types of shoes, such as elderly shoes, children's shoes, leather shoes, sports shoes, high heels, and sandals, have different structures and walking characteristics. Different obstacle information is provided based on the structure and characteristics of each type of shoe, including any one or a combination of obstacle coverage information, obstacle height information, obstacle size information, and information about the connection between the obstacle and the ground.

[0090] Preferably, the step of calculating the obstacle risk level indicator value based on the relationship between the obstacle information and the fall risk comprises the following steps:

[0091] The obstacle range impact value is calculated based on the degree of impact of the obstacle coverage on the passage and / or the distance between the obstacle coverage and the walking range;

[0092] Calculate the obstacle height impact value based on the effect of obstacle height and / or changes in obstacle height on the risk of falling;

[0093] Calculate the obstacle slip impact value based on the effect of the obstacle size and / or the firmness of the obstacle's connection to the ground on the risk of falling;

[0094] The obstacle risk level indicator value is calculated based on the obstacle range influence value and / or the obstacle height influence value and / or the obstacle sliding influence value.

[0095] In this embodiment, the obstacle range impact value is calculated based on the degree of influence of the obstacle coverage on the channel and / or the distance between the obstacle coverage and the walking range, which is: calculating the obstacle range impact value based on the positive correlation between the degree of influence of the obstacle coverage on the channel (for example, the blockage ratio of the channel space) and the obstacle range impact value; calculating the obstacle range impact value based on the negative correlation between the distance between the obstacle coverage and the walking range and the obstacle range impact value; calculating any one of the obstacle range impact values based on the positive correlation between the degree of influence of the obstacle coverage on the channel (for example, the blockage ratio of the channel space) and the obstacle range impact value and the negative correlation between the distance between the obstacle coverage and the walking range and the obstacle range impact value, and the obstacle range impact value. The obstacle range impact value is represented by the variable p.

[0096] The obstacle height impact value is calculated based on the influence of obstacle height and / or the change of obstacle height on the risk of falling, which is: calculating the obstacle height impact value based on the positive correlation between the obstacle height and the obstacle height impact value, calculating the obstacle height impact value based on the positive correlation between the change of obstacle height (such as the average value of adjacent height differences or the variance of height values) and the obstacle height impact value, and calculating any one of the obstacle height impact values based on the positive correlation between the obstacle height and the change of obstacle height (such as the average value of adjacent height differences or the variance of height values) and the obstacle height impact value, and the obstacle height impact value is represented by the variable q.

[0097] The obstacle sliding impact value is calculated based on the influence of the size of the obstacle and / or the connection firmness of the obstacle to the ground on the risk of falling, which is: calculating the obstacle sliding impact value based on the negative correlation between the size of the obstacle (such as weight or volume) and the obstacle sliding impact value, calculating the obstacle sliding impact value based on the negative correlation between the connection firmness of the obstacle to the ground and the obstacle sliding impact value, or calculating the obstacle sliding impact value based on the negative correlation between the size of the obstacle and the connection firmness of the obstacle to the ground and the obstacle sliding impact value, and the obstacle sliding impact value is represented by any one of the variables w.

[0098] The obstacle risk level indication value is calculated based on the obstacle range influence value and / or the obstacle height influence value and / or the obstacle sliding influence value. The obstacle risk level indication value is calculated based on the positive correlation between the obstacle risk level indication value and the obstacle range influence value and / or the obstacle height influence value and / or the obstacle sliding influence value. The obstacle risk level indication value is represented by the variable c.

[0099] C1 to C7 in Table C represent different implementation methods for calculating obstacle risk level indication values, wherein the obstacle range impact value p, obstacle height impact value q, and obstacle sliding impact value w involved in Table C are obtained using the formulas in the above implementation methods.

[0100] Table C Different implementation methods of dyscalculia risk level indicator values

[0101]

[0102]

[0103]

[0104] The obstacle risk level indicator value range corresponding to different fall risk levels is set in advance, and the fall risk level is identified according to the range of the obstacle risk level indicator value c obtained by the calculation method of any item in Table C.

[0105] In another preferred embodiment, a method for identifying fall risk level is shown in the flowchart as follows: Figure 1 As shown, the steps include:

[0106] Obtain shoe slip information, ground information, and obstacle information;

[0107] Calculating a slip risk level indication value based on shoe slip information;

[0108] Calculate the ground anomaly risk level indicator value based on ground information;

[0109] Calculate the obstacle risk level indicator value based on the obstacle information;

[0110] The fall risk level is calculated based on the slip risk level indication value and / or the ground abnormality risk level indication value and / or the obstacle risk level indication value.

[0111] In this embodiment, the fall risk level is calculated based on the slip risk level indicator value and / or the ground abnormality risk level indicator value and / or the obstacle risk level indicator value, which is: first, the fall risk level indicator value is calculated based on the positive correlation between the fall risk level indicator value and the slip risk level indicator value and / or the ground abnormality risk level indicator value and / or the obstacle risk level indicator value, and then the fall risk level is identified based on the range of the fall risk level indicator value. The fall risk level indicator value is represented by the variable x.

[0112] D1 to D7 in Table D represent different implementation methods for calculating the fall risk level indication value, among which the slip risk level indication value a, ground abnormality risk level indication value b, and obstacle risk level indication value c involved in Table D are obtained using the formula in the above implementation method.

[0113] Table D Different implementation methods for calculating fall risk level indicator values

[0114]

[0115]

[0116]

[0117] Set the fall risk level indicator value range corresponding to different fall risk levels in advance, and identify the fall risk level by obtaining the range of the fall risk level indicator value x according to the calculation method of any item in Table D. For example, if the fall risk level indicator value x is between (0-0.4), the fall risk level is low; if the fall risk level indicator value x is between (0.4-0.6), the fall risk level is medium; if the fall risk level indicator value x is between (0.6-1), the fall risk level is high; if the fall risk level indicator value x is greater than 1, the fall risk level is extremely high.

[0118] A computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the above method.

[0119] An embodiment of a system for identifying fall risk levels, as shown in FIG. Figure 2 As shown, it is characterized by including:

[0120] The shoe body and the fall detection device and data acquisition device installed in the shoe; the data acquisition device is used to obtain shoe slip information, ground information and obstacle information; the fall detection device is used to detect the fall risk level of a person, and the fall detection device includes:

[0121] processor;

[0122] Memory

[0123] and one or more programs; the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to execute the above method.

[0124] Of course, those skilled in the art should realize that the above embodiments are only used to illustrate the present invention and are not intended to limit the present invention. As long as they are within the scope of the present invention, any changes or modifications to the above embodiments will fall within the scope of protection of the present invention.

Claims

1. A method for identifying fall risk level, characterized in that: include: Calculating a slip risk level indicator value based on the relationship between shoe slip information and fall risk, including the following steps: calculating a shoe slip indicator value based on the relationship between shoe sole friction and a pre-set friction range for shoe slip; calculating a ground smoothness indicator value based on the relationship between ground smoothness and a pre-set ground smoothness range for shoe slip; and calculating a fall risk value based on the relationship between shoe sole sliding distance information and a pre-set sliding distance range for slipping and falling; Calculate the slip risk level indication value based on the sole slip indication value, the ground smoothness indication value and the fall risk value; Calculating a ground abnormality risk level indicator value based on the relationship between ground information and fall risk, including the following steps: calculating a ground flatness impact value based on ground flatness information, ground pothole information, and a pre-set relationship between ground flatness and fall risk; calculating a ground looseness impact value based on ground movable object information, ground looseness information, and a pre-set relationship between ground looseness and fall risk; calculating a ground sliding impact value based on ground water and oil accumulation information, ground ice information, and a pre-set relationship between ground smoothness and fall risk; and calculating a ground abnormality risk level indicator value based on the ground flatness impact value, the ground looseness impact value, and the ground sliding impact value. Calculating an obstacle risk level indicator value based on the relationship between obstacle information and fall risk, including the following steps: calculating an obstacle range impact value based on the degree of influence of the obstacle coverage on the passage and the distance between the obstacle coverage and the walking range; calculating an obstacle height impact value based on the influence of the obstacle height and the change of the obstacle height on the fall risk; calculating an obstacle sliding impact value based on the influence of the size of the obstacle and the firmness of the connection between the obstacle and the ground on the fall risk; and calculating an obstacle risk level indicator value based on the obstacle range impact value, the obstacle height impact value, and the obstacle sliding impact value; The fall risk level is calculated based on the slip risk level indication value, the ground abnormality risk level indication value and the obstacle risk level indication value.

2. A system for identifying fall risk levels, characterized in that include: The shoe body and the fall detection device and data acquisition device installed in the shoe; The data acquisition device is used to obtain shoe slip information, ground information and obstacle information; The fall detection device is used to identify the fall risk level of a person, and the fall detection device includes: processor; Memory and one or more programs; the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method according to claim 1.

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