Intelligent gait analysis insole

Abstract

The present invention discloses an intelligent gait analysis insole, comprising: a left insole comprising a left pressure sensor and a left inertial sensor for obtaining left foot information; the right insole comprises a right pressure sensor and a right inertial sensor and is used for obtaining right foot information, the left insole and the right insole each comprise a wireless transmission module, the left foot information and the right foot information are transmitted to the moving device and used for analyzing the left foot information and the right foot information, and foot pressure, gait, stride frequency, pressure center and other information are obtained; wherein the pressure sensing position comprises a pressure peak position and a pressure center area.

Description

Technical Field

[0001] The invention relates to a shoe insole, in particular to an intelligent gait analysis shoe insole. Background Art

[0002] The feet bear the weight of the body. According to medical literature and related research, the feet are closely related to physical health. Plantar pressure is an important indicator of gait patterns. The measurement of plantar pressure distribution has important indicative significance in the fields of biomechanics, rehabilitation medicine, sports training, shoemaking, etc. The pressure test plates and test benches currently used have spatial limitations. The existing sensors for testing plantar pressure have sensing units that contact the human foot, which are easily worn due to frequent contact with the sole of the foot, are not conducive to long-term wear and testing, and cannot provide sufficient health information.

[0003] Prior art The patent application with Taiwan Announcement No. TW201729704A includes a pressure sensor, a temperature sensor, and a humidity sensor. The pressure sensor, temperature sensor, and humidity sensor are formed on the surface of the insole body, not in the interlayer. The disadvantage is that the sensor is easily worn and the user feels uncomfortable. The length, width, and thickness of each sensor can be 1mm×3mm×0.02mm. It is obvious that each single individual device is used, so it does not have mass production efficiency, and no special areas are targeted. There is no priority order for configuration based on cost-effectiveness, and there is no specific location for specific sensor configuration. This prior art is a random configuration, so it is impossible to capture data at key locations, resulting in distortion.

[0004] With the rapid development of cloud computing, wireless communication technology and artificial intelligence, health systems integrating various sensors, wireless communication and intelligent computing have become the focus of research and development. Therefore, in view of this, collecting health information seems to be urgent and necessary. The present invention proposes a smart sensing insole to facilitate the assessment of plantar pressure. Summary of the invention

[0005] The present invention can fully measure foot information. The purpose of the present invention is to provide an intelligent gait analysis insole with improved sensing efficiency, comprising a left insole, comprising a left pressure sensor and a left inertial sensor, for obtaining left foot information; a right insole, comprising a right pressure sensor and a right inertial sensor, for obtaining right foot information, the left and right insoles each comprising a wireless transmission module, transmitting the left and right foot information to a mobile device; wherein the mobile device is used to analyze the left and right foot information, and obtain information such as foot pressure, gait, step frequency, and pressure center, wherein the pressure sensing point position comprises the pressure peak position, the pressure center area, and the arch position.

[0006] In another aspect of the present invention, the longitudinal wires and the transverse wires divide the insole area into at least 10-120 intervals to balance cost and sensing density. Smart insoles can be placed in different shoes, and there is no need to configure sensors for each pair of shoes. Secondly, the present invention includes a foot sensing module, coupled to the pressure sensing layer, to receive foot sensing data; the foot sensing module is configured in the arch of the smart sensing insole. The present invention may also include an inertial sensor, an infrared sensor, and a GPS, configured in the arch of the smart sensing insole.

[0007] In another embodiment, the present invention includes a wireless transmission / reception module, coupled to the foot sensing module, and wirelessly coupled to an external mobile device. The foot information received and processed by the foot sensing module can be displayed by the external mobile device, wherein the foot information includes one or any combination of the following: foot pressure distribution, weight distribution ratio of body weight to left and right feet, gait, step frequency, and foot pressure center. The foot information can be uploaded to a big data database via the mobile device, and the big data database uses blockchain as the communication architecture.

[0008] In one embodiment, the foot sensing module can be used to collect foot information and display it in real time through a mobile device to obtain personal foot pressure information and establish the relationship between exercise and foot pressure. The foot sensing module is connected to one or any combination of a pressure sensing device, an inertial sensor, an infrared sensor, an accelerometer, a gyroscope, and a GPS. All foot information can be processed to obtain foot pressure distribution and foot blood circulation status data.

[0009] In another aspect of the present invention, the present invention can achieve accurate pressure and motion measurement, whether it is uphill or downhill motion, through accurate sensing data, it is conducive to motion analysis. The present invention can provide motion sensing and management, and provide details of each process. Based on the above, the present invention proposes to solve the shortcomings of the prior art. According to one aspect of the present invention, the present invention can be used to collect foot information and store it in a cloud big data database through a mobile device. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram showing the structure of the present invention is shown.

[0011] Figure 2 The pressure sensing layer proposed by the present invention is shown.

[0012] Figure 3 The functional block diagram of the smart sensing insole and the mobile device of the present invention is shown.

[0013] Figure 4 A functional block diagram showing the cloud server and mobile device of the present invention.

[0014] Main component symbols

[0015] 101: Smart Sensing Insoles

[0016] 103: Mobile Device

[0017] 105: Cloud Network

[0018] 107: Cloud Server

[0019] 108: Big Data Database

[0020] 109: Pressure sensing layer

[0021] 116: Foot sensing module

[0022] 132: Wireless transmission / reception module

[0023] 138: Pressure sensor

[0024] 139: Infrared sensor 139

[0025] 140: Inertial Sensor

[0026] 142,142a: Processor

[0027] 143,143a: User Interface

[0028] 144,144a: Internet interface

[0029] 145: Wireless transmission / reception module

[0030] 146,146a: Storage device

[0031] 148: AI calculation module

[0032] 1091: Longitudinal wire

[0033] 1092: Horizontal wire DETAILED DESCRIPTION

[0034] Here, the present invention will be described in detail with respect to specific embodiments of the invention and their viewpoints. Such descriptions are for explaining the structure or step flow of the present invention, which are for illustrative purposes and do not limit the scope of the present invention. Therefore, in addition to the specific embodiments and preferred embodiments in the specification, the present invention can also be widely implemented in other different embodiments. The following describes the implementation of the present invention by means of specific specific embodiments, and people familiar with this technology can understand the effectiveness and advantages of the present invention through the contents disclosed in this specification. In addition, the present invention can also be used and implemented through other specific embodiments, and the various details described in this specification can also be applied based on different needs, and various modifications or embellishments can be made without departing from the spirit of the present invention.

[0035] The present invention combines artificial intelligence AI and dynamic sensing technology. The integrated design allows users to put on shoes without feeling anything, but can accurately record and analyze the status of the feet, providing users with the most complete health management information. The instant feedback information through the application APP not only helps with all-round health management, but also can analyze various characteristic data through the exercise history, and fully evaluate the status to reduce risks. It is an indispensable tool for exercising and health management. The plantar pressure sensing of the present invention, in one embodiment, includes a pressure sensing plate, which obtains the pressure value during the measurement process, and obtains the plantar pressure parameters and pressure distribution diagram based on subsequent processing.

[0036] Figure 1 The schematic diagram of the architecture of the present invention is shown, including a cloud server 107, which is electrically connected to a large data database 108. The present invention can use a smart sensing insole 101 to collect foot information, monitor the user's foot pressure, blood oxygen (described later), etc. The smart sensing insole 101 can be communicatively connected to a mobile device (for example, an external computing electronic device such as a smart phone, a tablet computer, etc.) 103. The present invention includes an application installed in the mobile device, and the application receives and sends data instructions between the smart sensing insole 101, the mobile device 103 and the cloud server 105. The above application can operate based on the Android, Windows or iOS operating system platform, and can upload the collected relevant data / signals to the cloud server 107 for storage, and generate foot information after data analysis and calculation processing, and provide health management suggestions based on it.

[0037] In one embodiment, the smart sensing insole 101 of the present invention includes a pressure sensing layer 109 (eg, Figure 2As shown), it is used to detect the sole pressure, left and right foot pressure distribution, gait, and step frequency. In one embodiment, a pressure plate can be used. The present invention has a pressure sensing layer 109 embedded in the insole. The pressure sensing layer 109 includes an array configuration composed of longitudinal wires 1091 and transverse wires 1092. The intersection of the longitudinal wires 1091 and the transverse wires 1092 is used as an individual pressure sensing point (sensor). When the foot pressure changes, the pressure value and position distribution are sensed. The pressure sensing layer 109 is electrically connected to the sensing module through wires. It is worth noting that the longitudinal wire 1091 here includes a vertical wire and a longitudinal inclined wire, and the longitudinal inclination angle is between 1-30 degrees with the vertical direction. The transverse wire 1092 includes a horizontal wire and a transverse inclined wire, and the transverse inclination angle is between 1-30 degrees with the horizontal direction. The longitudinal wire 1091 and the transverse wire 1092 divide the insole area into at least 10-120 intervals, depending on the laying sensing density; one embodiment constructs a 20-100 interval, and another embodiment constructs a 30-80 interval, which can take into account both cost-effectiveness and better sensing density. The configuration of the longitudinal inclined wire and the transverse inclined wire is to reconcile the matrix with the sole shape, and the longitudinal inclined wire or the transverse inclined wire can include straight lines or curves. The area of ​​the sensing point accounts for 3%-50% of the total insole bottom area, and another embodiment is 10%-40%. This value is based on the experimental group and the control group, and is obtained through multiple experiments. It can be verified that the area range will not cause discomfort to the user and will not reduce the sensing efficiency. The present invention can collect the pressure distribution status, confirm the pressure center position, and determine whether the center is offset when the user is standing. It can be determined that abnormal pressure distribution can indicate the walking posture.

[0038] Through the research and experience accumulation of this case, the pressure sensing configuration position can be divided into at least three position ranges. Too many sensors do not help to obtain better data, so the sensors should be configured in effective places. Through the research and experience accumulation of this case, the configuration position can be divided into at least three position ranges. The main considerations are the pressure peak position, the pressure center area, and the position where the arch shape difference is manifested. The first position range 1000 is the first priority deployment range, including: the big toe area, the first toe joint area, the fifth toe joint area, and the heel area. The second position range 2000 is the second priority deployment range, including: the middle toe joint area, the lateral longitudinal arch close to the heel area, the middle area of ​​the transverse arch, and the lateral longitudinal arch close to the transverse arch area. The third position range 3000 is the third priority deployment range, including: the medial longitudinal arch close to the transverse arch area, and the medial longitudinal arch close to the heel area. According to cost and benefit, the above-mentioned sequence configuration and configuration quantity can be used, and when there are more needs, it can be deployed in other areas outside the above three position ranges.

[0039] Figure 2It is a schematic diagram, and in order to facilitate the display of the longitudinal wire 1091 and the transverse wire 1092, the span ranges 1000, 2000, and 3000 are not drawn. However, in fact, the above ranges can be spanned.

[0040] The longitudinal conductors 1091 and the transverse conductors 1092 form an array configuration, and the intersection of the two lines forms a pressure sensing point. In one embodiment, the pressure sensing layer 109 includes a resistive pressure sensing element, and the resistive pressure sensing line is composed of a conductive polymer, and the conductive polymer changes resistance as the pressure changes. Applying force can make the conductive particles contact, thereby increasing the current passing through the sensing line and calculating the pressure value. Another embodiment uses capacitive pressure sensing. Capacitive pressure sensing uses a diaphragm to separate the vertical wire and the horizontal wire. When the diaphragm is deformed by pressure, the gap between the diaphragm and the two wires changes, further causing a change in capacitance, and the pressure is calculated by the change in capacitance.

[0041] In another implementation, if Figure 3 The smart sensing insole 101 can be built with an inertial sensor 140. The inertial sensor 140 includes a three-axis accelerometer and a three-axis gyroscope to sense static and dynamic physical values ​​of the foot. The inertial sensor 140 can be disposed at the arch of the foot, or in the area formed by the longitudinal wire 1091 and the transverse wire 1092 interlaced.

[0042] In another embodiment, the smart sensing insole 101 is equipped with an infrared sensor 139, which has a red light / infrared light source, for blood oxygen and blood pressure detection. Blood pressure detection can use optical sensing of subcutaneous blood flow, and then obtain blood pressure data through a known algorithm. The principle of blood oxygen detection through transmission is that when blood is sent to the extremities, it will produce a slight volume change with the heart rate. It uses red light and infrared light sources to illuminate, pass through the tissue and receive the light. The difference in the impact of the slight volume change on the light intensity is converted into a signal and the blood oxygen concentration is calculated.

[0043] like Figure 3 As shown, the smart sensing insole 101 can be for the left foot or the right foot, and both are symmetrical structures. The figure only shows one of them, but it should be known that it can be applied to both feet. The smart sensing insoles 101 of both feet are electrically connected to mobile devices 103, such as smart phones or tablet computers. Data can be received and sent through the wireless transmission / reception module 132. The wireless transmission / reception module 132 is matched with wireless telecommunication specifications, such as WiFi, Bluetooth, RFID, NFC, 5G or any other future wireless communication specifications. The wireless transmission module 132 is connected to the antenna to send and receive data.

[0044] The smart sensing insole 101 communicates with the external mobile device 103. The smart sensing insole 101 includes a foot sensing module 116 embedded in the arch of the insole. If the components become smaller in the future, they can be configured elsewhere to receive and analyze the foot pressure distribution and foot blood circulation data, and transmit the above data to a remote computing device or server through a wireless transmission / reception (TX / RX) module 132 located in the foot sensing module 116.

[0045] The foot sensing module 116 can execute software applications, which include a microprocessor and a storage unit. The microprocessor can be a microcontroller, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a programmable logic circuit, or other digital data processing device that executes instructions to perform processing operations according to the present invention. The microprocessor can execute various application programs stored in the storage unit, including executing firmware algorithms. The storage unit can include a read-only memory (ROM), a random access memory (RAM), an electrically erasable programmable ROM (EEPROM), a flash memory, or any memory generally used in computers.

[0046] Figure 3 The foot sensing module 116 signal is displayed to be transmitted / received via a wireless transmission / reception (TX / RX) module 132. In one embodiment, the wireless transmission / reception module 132 may be a wireless data transmission / reception device with Bluetooth, WiFi or similar functions. In other words, the wireless transmission / reception module 132 matches wireless telecommunication specifications, such as WiFi, Bluetooth, RFID, NFC, 5G or any other future wireless communication specifications. The foot sensing module 116 may be electrically connected to the pressure sensor 138 in the pressure sensing layer 109 via a connection terminal, or connected to an infrared sensor 139 or an inertial sensor 140. The foot sensing module 116 also includes a processing system (e.g., one or more microprocessors), a memory, etc.

[0047] The left or right smart sensing insole 101 includes additional sensors, such as accelerometers, gyroscopes, GPS, etc., and a power supply device to supply power to each component. It should be understood that the foot sensing module 116 can provide computer programs / algorithms to control the collection and storage of data (e.g., user's foot pressure distribution data or pressure data interacting with the ground, user's foot blood circulation status, etc.), and these programs / algorithms can be stored and / or executed.

[0048] The mobile device 103 includes a processor 142, a user interface 143, an Internet interface 144 and a storage device 146, which are respectively connected to the processor 142. The user interface 143 includes one or more input devices (e.g., a touch screen, a voice input device, etc.), one or more audio output devices (e.g., a speaker, etc.) and / or one or more visual output devices. The Internet interface 144 includes one or more networking devices (e.g., a wireless local area network (WLAN) device, a wired LAN device, a wireless wide area network (WWAN) device, etc.; the storage device 146 includes a flash memory device. The wireless transmission / reception (TX / RX) module 145 can transmit / receive data with the wireless transmission / reception (TX / RX) module 132.

[0049] In one embodiment, the big data database 108 is connected to the cloud server 107. Figure 1 and Figure 4 , the big data database 108 is electrically connected to the AI ​​calculation module 148. In one embodiment, the AI ​​calculation module 148 set in the cloud server 107 can analyze the information data collected by the big data database 108. The AI ​​algorithm can include a series of steps: pre-filtering and normalizing the input signal, extracting time domain and frequency domain features, and using the Convolutional Neural Networks (CNN) model to output the classification results. Similarly, the cloud server 107 includes a user interface 143a, an Internet interface 144a, and a storage device 146a, each of which is connected to the processor 142a. In one embodiment, no matter what kind of exercise, the insole can accurately sense the data to facilitate appropriate health management. After AI analysis of the user's weight, speed, pressure and other data, the exercise is analyzed. The above is a function that previous insole technology and sports watches cannot achieve.

[0050] In another viewpoint, the mobile device 103 combines the algorithm system to process the data from the sensor in the shoe, and can analyze the pressure distribution, gait, step frequency, and center of pressure (COP). Foot pressure distribution plays a key role in human movement. The foot shape and walking (running) posture affect the human body posture and bone changes, as well as the performance and limit of athletes. The insole with an integrated sandwich sensor proposed by the present invention can obtain the parameter data of the foot pressure distribution of many users over time and space by setting the insole in the shoe, and upload it to an external computing device, such as a smart phone, a personal computer, a computer server, etc., by wireless transmission, and calculate and analyze and store it in the cloud system as a related big data database. Generally, traditional technologies lack visual / data-based learning standards to allow users to clearly understand every detail of the movement state. Assist users to understand the foot pressure distribution status and adjust their walking posture. Provide detailed tracks during movement.

[0051] In addition, the smart sensing insole proposed by the present invention can also integrate an infrared sensor 139 to simultaneously provide the user with blood circulation status information. This breaks through the limitation that only medical institutions or sports research institutions can obtain data analysis in the past, so that more users can obtain exclusive personal foot information. In one embodiment, the above data is transmitted wirelessly, and combined with the application APP, it can be displayed in real time, so that the above data can be visualized. The analysis data stored in the big data database 108 of the present invention can not only provide consumers with their own health management, but also be combined with other industries to provide foot information for reference by hospitals and shoemaking industries. The big data database 108 uses blockchain as the communication architecture, the data cannot be changed, and the transmission is encrypted.

[0052] The present invention has a wireless charging induction coil, which is arranged on one side of the smart induction insole 101 to facilitate wireless charging and provide the power required by the smart induction insole. It is needless to say that the smart induction insole 101 has a rechargeable battery and a power supply module. In another embodiment, the wireless transmission / reception (TX / RX) module 132 can be replaced by or coexist with a USB (Universal Serial Bus) port for data transmission and wired charging.

[0053] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention and its benefits are described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the claims of the present invention.

Claims

1. An intelligent gait analysis insole, characterized in that: Include: A left insole, comprising a left pressure sensor and a left inertial sensor, for obtaining left foot information, and a left wireless transmission module, connected to the left pressure sensor and the left inertial sensor, for transmitting the left foot information to a mobile device; The right insole includes a right pressure sensor and a right inertial sensor for obtaining right foot information. The right wireless transmission module is connected to the right pressure sensor and the right inertial sensor to transmit the right foot information to the mobile device. The mobile device analyzes the left foot information and the right foot information to obtain one or any combination of information including foot pressure, gait, step frequency, and pressure center.

2. The intelligent gait analysis insole according to claim 1, characterized in that: It includes a wireless charging coil, which is arranged in the smart gait analysis insole.

3. The intelligent gait analysis insole according to claim 1, characterized in that: Contains infrared light sensor.

4. The intelligent gait analysis insole according to claim 1, characterized in that: GPS included.

5. The intelligent gait analysis insole according to claim 1, characterized in that: A sensing module is included for receiving sensing point data.

6. The intelligent gait analysis insole according to claim 1, characterized in that: The left foot information and the right foot information are displayed on the mobile device.

7. The intelligent gait analysis insole according to claim 6, characterized in that: The left foot information and the right foot information are uploaded to a big data database via the mobile device.

8. The intelligent gait analysis insole according to claim 7, characterized in that: The big data database uses blockchain as its communication architecture to make the data impossible to change.

9. The intelligent gait analysis insole according to claim 7, characterized in that: The big data database is electrically connected to the AI ​​calculation module.

10. The intelligent gait analysis insole according to claim 1, characterized in that: The left pressure sensor and the right pressure sensor include longitudinal wires and transverse wires, which divide the insole area into at least 10-120 intervals to take into account both cost and sensing density.

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