JP2021062123A - Stand-up assisting type smart handrail device - Google Patents

Abstract

To develop equipment and a system which provide services of watching and assisting an elderly person living at home, particularly an elderly person living alone at home, to keep a healthy and independent life by preventing the elderly person from coming to need a care.SOLUTION: A stand-up motion detection sensor and a data transmitter are mounted to a stand-up assisting type smart handrail device.SELECTED DRAWING: Figure 1

Description

The present invention relates to a stand-up assisting tool used by an elderly person or the like who needs assistance in standing up from a bed at the bedside, and particularly relates to a technique for analyzing and evaluating a standing-up motion to be useful for support such as long-term care.

As the number of elderly people increases, there is a trend to extend the period of home care and reduce the burden of institutional care. There is also a desire for the elderly to live at home.
Whether or not the elderly can live independently is not to be bedridden, and it is essential that they can stand and sit alone. If this is not possible, you will not be able to live independently without the assistance of others.

In addition, it is necessary to get up from the bed as a basic movement of life. This standing motion is an important motion that is the starting point of daily activities. Various muscles are involved in human standing. The wake-up movement involves forward bending, getting out of bed, stretching the whole body, and controlling the standing posture. In these movements, when muscle strength and sensory function decline with aging, muscle activity cannot be adjusted appropriately, the activity timing becomes long, the peak timing changes, and the motor function deteriorates. Thus, changes in muscle activity are important indicators for evaluating human physical function. In the conventional method, it is necessary to attach a myoelectric potential sensor to the human body to measure the muscle activity in order to extract the muscle movement, and it takes more than one hour to measure one person, which requires a lot of time and effort. It is difficult to measure on a daily basis.
In Patent Document 1 (Japanese Unexamined Patent Publication No. 2019-10435), a handrail sensor having a handrail portion for gripping by a user detects a plurality of strains of the handrail portion when gripped by the user, and walks. The evaluation device calculates the walking speed of the user from the gripping position and the gripping time when the user grips the handrail based on the strain data representing the detected multiple strains, and the calculated walking speed is calculated. The walking condition of the user is evaluated from the speed. Then, a healthcare system that outputs information on the evaluation to an external device has been proposed.
As a care device focusing on the wake-up operation, Patent Document 2 (Japanese Unexamined Patent Publication No. 2007-330336) includes a handrail sensor attached to the handrail of the bed as a device for detecting the care recipient before leaving the bed. Based on the sensor value obtained from, it is detected whether or not the handrail is pulled toward you by the care recipient, while the center of gravity sensor is attached to the bed, and the care recipient's bed is based on the sensor value obtained from the center of gravity sensor. When the upper center of gravity is calculated and it is determined that "the handrail is pulled toward you" and "the position of the center of gravity is included in the predicted bed leaving area that is predicted to be located at the start of getting out of bed", the rise is started. A device for determining and notifying is disclosed.

JP-A-2019-010435 JP-A-2007-330336

The present invention is to develop a device and a system that prevents elderly people living at home, especially elderly people living alone, from falling into a state of needing long-term care, and provides monitoring and support services so that they can continue to lead a healthy and independent life. With the goal.
It was noted that being able to stand up is important as the basis of life, and in particular, developing means for daily perception of the health status of home-based residents is basic information for care.
The present invention establishes a new measurement method that enables evaluation of motor function without using a myoelectric electrometer, and manufactures a sensor that realizes it.

The present inventors have focused on the assistive device used when standing up from the bed used by the elderly and the like, and considered that the daily standing up motion can be observed by attaching a means for observing the standing up motion to the standing assisting tool. The present invention has been realized.
Specifically, for example, when a person's forward bending or getting out of bed is weakened, he or she uses a handrail to move the body forward or push it upward to compensate for it. Focusing on the fact that changes in muscle synergies can be estimated from the force applied to the handrail, in the present invention, 1. a handrail that measures the force during exercise is manufactured, and 2. muscles are used from force information. We proposed a method to identify synergies, 3. conducted an evaluation experiment of physical function in elderly people, and 4. manufactured an inexpensive and easy-to-measure sensor.

The main configurations of the present invention are as follows.
1. 1. A standing assist type smart handrail device equipped with a standing motion detection sensor and a data transmitter.
2. It is equipped with a handrail part equipped with a standing motion detection sensor and a standing motion analysis / evaluation device.
The standing motion detection sensor is a load sensor that detects the load applied when the handrail is gripped, and a load direction sensor that detects the direction of the load (grip force).
The standing motion analysis / evaluation device is a standing assist type smart handrail device characterized by analyzing and evaluating the standing motion of a user based on the data detected by each detection sensor.
3. 3. The load sensor is a load sensor that detects the gripping position composed of pressure-sensitive conductive rubber and matrix electrodes attached to the horizontal bar of the handrail.
The standing assist type smart handrail device according to claim 1, wherein the load direction sensor is a load cell type sensor that measures the force applied to the handrail in each of the three directions of up / down, front / back, and left / right.
4. The standing assist type smart handrail device has a bottom plate, a support column erected on the bottom plate, and a handrail portion attached to the support column.
A weight sensor is integrally provided on the bottom plate, and the weight sensor is provided with a strain gauge on the bottom plate arranged in a mesh shape.
The standing assist according to any one of claims 1 to 3, wherein the position of the center of gravity and the center of rotation are obtained based on the detection data of the bottom plate strain gauge, and the standing motion is analyzed and used as one of the elements to be evaluated. Type smart handrail device.
5.1. ~ 4. It is characterized by storing the grip detection data obtained from the standing assist type smart handrail device described in any of the above in a database, analyzing the standing movement of the user in chronological order, and evaluating the degree of independence of the user's life. Standing motion observation / analysis system.
6.1. ~ 4. It is a standing operation / analysis / support system in which a standing assist type smart handrail device terminal, a handrail user terminal, a support facility terminal, a guardian terminal, and a server described in any of the above are connected to a communication network.
The handrail device terminal sends the gripping data to the server and
The server accumulates gripping data, evaluates the degree of independence of the user's life based on the gripping detection data, and sends the evaluation to the guardian terminal, the support facility terminal, and the user terminal. Analysis / support system.

1. 1. At the bedside, a detection sensor is installed on the auxiliary handrail used when getting up and standing, so data can be continuously collected and analyzed on a daily basis, and the user's ability to stand up can be followed up. It is possible to continuously collect information necessary for care without burdening users and doctors. That is, it is possible to detect the independent living state and future changes and support the maintenance of the independent living.
In addition, since a familiar handrail is used, natural data can be obtained, and since data is acquired from a user-specific auxiliary tool, the privacy management of the user is easy and the psychological load is low.
2. By attaching a sensor that detects the load to the standing assist handrail, the data detected by the sensor is stored as a DB on the cloud, and the trajectory of the movement of the user during the standing operation is estimated from the collected time-stamped data. It is possible to visualize the standing movement ability of the user by estimating the problem of how to stand up and the part where the muscle strength is weakened.
The amount of data obtained from these sensors is small, the communication load is small, and data security measures can be light, so operation is easy.
3. 3. By combining the load sensor of the bottom plate and the sensor of the handrail, the load data detected during the standing motion over time is collected, and the center of gravity, the force pulled by hand, and the position of the center of rotation of the body are calculated from the data, and human kinematics. The posture can be estimated by combining the models, and the part where the muscle strength is weakened can be estimated from the change of the posture.
A fall can be detected from the load distribution applied to the load sensor. In addition, the fall posture can be estimated.
4. It is possible to build a care system that allows families and facilities to confirm their safety, including their daily health status, via the Internet connection.
Since this care system uses well-used technology-based hardware such as strain sensors and processing software, a highly reliable system can be constructed at low cost, and the obtained data can be used to derive analysis results using software. By adopting this method, it is highly customizable and maintainable.

The figure which shows the example of the standing assist type smart handrail device The figure which shows the example of the gripping direction sensor The figure which shows the transmission system of the detection data of each sensor The figure which shows the example of the load sensor The figure which shows the example of the load sensor The figure explaining the standing motion acquisition means in comparison with the conventional example. The figure which shows the example of the standing motion acquisition by this invention Diagram explaining standing movement and athletic ability Explanatory diagram for estimating falls Diagram showing an example of a standing motion observation / analysis method system Standing motion observation / analysis method flow chart The figure which shows the example of the network system which forms the standing operation / analysis / support system. Image of commercialization and commercialization utilizing the system Diagram showing the display image of the user terminal

The present invention is a standing-assisted smart handrail device provided with various sensors so that elderly people who are anxious about getting up from the bed or walking can grasp the degree of standing or walking obstacles on a daily basis. , A standing motion observation / analysis system that evaluates the degree of independence in life (muscle strength balance) based on the data obtained from this standing assist type smart handrail device, and a standing motion that sends the evaluation to related parties such as family members and facilities.・ Analysis / support system.
According to the present invention, the direction and magnitude of the force generated on the handrail and the magnitude of the load applied to the floor surface when an elderly person or the like performs a rising motion by using a standing assist type smart handrail device placed on the bedside. By continuously acquiring the distribution, etc. on a daily basis, it is possible to observe changes in the rising motion and use it for watching over and presenting necessary coping methods.

<Example of standing-assisted smart handrail device>
An example of the present invention will be described with reference to the drawings.
FIG. 1 shows an example of a standing assist type smart handrail device.
The basic structure of the standing assist type smart handrail device 10 is that the columns 52 and 52 are attached to the left and right sides of the bottom plate 51, and the handrail portion 1 is provided on the upper part of the columns 52. The base of the support column 52 may be provided with adjusting means so that the height can be adjusted. A handrail portion 1 having a horizontal bar 11 is attached to the upper portion of the support column 52. A horizontal intermediate bar 53 is provided at the intermediate portion of the support column 52. In the present invention, since the handrail portion 1 is provided with a sensor for measuring the load applied when the handrail is gripped, the handrail portion 1 is attached to the support column.

FIG. 2 shows an example of a gripping direction sensor provided on the handrail portion 1.
A sensor is provided that measures the force applied to the handrail portion 1 by dividing it in three directions when the user grabs the handrail portion 1 and performs a standing up operation.
FIG. 2A shows an overall view of the standing assist type smart handrail device 10, and FIG. 2B shows an example of arranging the sensor of the handrail portion 1.
In the handrail section 1, a direction sensor 3 is installed to measure the magnitude and direction of the force applied by the user by grasping the handrail to stand up by dividing it into vertical (F1), front-back (F2), and left-right (F3). doing. The direction sensor 3 is arranged with a vertical sensor 31, a front-rear sensor 32, and a left-right sensor 33 that measure the respective unidirectional forces. In the front-rear direction sensor 32, load cells in the direction of the force that attracts the body to the handrail when standing up are arranged on the left and right (front-rear direction sensors 32a and 32b) to improve the measurement accuracy.
As the direction sensor 3, a load cell type sensor, which is a strain sensor, is suitable. The load cell type sensor is a stable sensor with many achievements and is a highly reliable sensor. The distribution of the force in a series of movements in which the user grabs the handrail, pulls it, pushes it down, and tries to raise the body is divided into three directions and measured in each direction.
A load sensor 2 is provided on the horizontal bar 11 above the handrail portion 1 so that the gripping force and the gripping position can be measured.
The transmission system of the detection data of each sensor is shown in FIG.
The load sensor 2 on the upper part of the standing assist type smart handrail device 10 is wiredly connected to the communication port to supply power to the handrail device terminal. Gauge amplifiers that relay the measurement data of the four sensors are attached to the left and right columns of the handrail device as a set of two. The power of the load sensor and the gauge amplifier is supplied from the electric power input to the handrail device terminal. These devices are attached to the handrail portion of the standing assist type smart handrail device 10 so that the cable is not affected even if the handrail is moved up and down.

FIG. 4 shows an example of the load sensor 2. (A) shows a layout diagram of 2 of the load sensor, (b) shows a schematic diagram of a comb-shaped electrode, (c) shows a schematic diagram of a pressure-sensitive conductive electrode, and (d) is an example of a layer structure. Is shown.
The load sensor 2 attaches a large number of capacitance sensors 21a to the pressure-sensitive conductive rubber 21 and detects that the user has grasped it. Further, the load sensor 2 is provided with a comb-shaped electrode 22 divided into a comb shape so that the position of the gripping portion 24 can be detected. In the figure, the gripping position 24 is the position of the comb-shaped electrodes 22c and 22d, and the position is specified by the touch sensor controller 25. The gripping point 24 can also be sensed by using a matrix electrode instead of the comb electrode.
The magnitude of the force detected by the front-rear direction sensors 32a and 32b arranged on the left and right differs due to the deviation of the gripping portion 24 from the center of the horizontal bar 11, but the force exerted in the front-rear direction by detecting the gripping position. Can be corrected and measured.
The pressure-sensitive conductive electrode 21 has rubber elasticity and measures the resistance value. Since the resistance value changes according to the pressure applied to the rubber, the grip strength (load) can be measured by attaching it to the handrail.
The next matrix electrode 23 (see FIG. 3B) measures the resistance value of the pressure-sensitive conductive rubber. Since the resistance value changes according to the pressure applied to the rubber, the grip strength (load) of gripping the handrail can be measured.
An example in which these electrodes are laminated one above the other to form the load sensor 2 is shown in (d).
The comb-shaped electrode 22, the pressure-sensitive conductive rubber electrode 21, and the matrix electrode 23 are laminated in this order from the upper layer. The comb electrode 22 acts as a sensor for measuring contact. The matrix electrode 23 measures the resistance value of the pressure-sensitive conductive rubber electrode 21, and can measure the gripping force (load) of holding the handrail whose resistance value changes according to the pressure applied to the pressure-sensitive conductive rubber 21. It becomes.

All of these sensors have a long history of use and are highly reliable and stable sensors.
For the load sensor, a "smart grip", which is a device attached to a handrail or the like and used to measure the load applied to the handrail, is used. For example, as shown in FIG. 3B, it is equipped with an amplifier, A / D converter, etc., measures the voltage generated by a sensor composed of pressure-sensitive conductive rubber and matrix electrodes, and uses a WiFi-equipped microcomputer to measure the voltage. It is an IoT device that sends measurement data to the outside.

The measured voltage value is transmitted to the Raspberry Pi Zero W via the WiFi-equipped microcomputer mounted in the load sensor. The load cell mounted on the standing assist type smart handrail device is connected to the gauge amplifier 35. The voltage applied to the resistance of the strain gauge of the load cell is output from the gauge amplifier as A / D converted digital data.
Use the GPIO pin of Raspberry Pi Zero W to get the output value of the gauge amplifier. For the load cell terminal, SC601-120 kg (see FIG. 3C) of Sensorcon and Control Co., Ltd. can be used.

FIG. 5 shows an example of a foot load sensor that measures the body weight and the load position applied to the bottom plate 51 of the standing assist type smart handrail device 10 when getting up.
On the surface of the bottom plate 51, for example, a strain sensor 61 is arranged on a 72 mm mesh. A flexible tile 62 is placed on the surface of the strain sensor 61.
In this example, four strain cages of half bridges are provided on one mesh, and the load applied to one mesh is measured.
The strain sensor 61 arranged in a mesh shape can measure the position where the foot is attached and the load distribution.

<Standing motion observation / analysis system>
1 to 5 show the basic configuration of the standing assist type smart handrail device 10 shown in this example. In this example, the standing assist type smart handrail device 10 is used to measure a series of movements of the user getting up from the bed. Next, the observation and analysis of the measured standing motion will be described.

First, the standing motion acquisition means will be described with reference to FIG. 6 in comparison with the conventional example.
The conventional method is shown in (a).
In the conventional method, a large number of electrodes are attached to various parts of the subject's body, motion capture, surface electromyography, floor reaction force meter, etc. are placed around the subject, and the subject is asked to get up from the bed. Data is acquired by measuring with each sensor or measuring device. In order to extract muscle synergies, it is necessary to attach a myoelectric potential sensor to the human body to measure muscle activity, and it takes one hour or more to measure one person.
Since such measuring instruments are arranged for measurement, it is necessary to prepare and measure at a facility such as a hospital, and it is not possible to acquire data on a daily basis.
On the other hand, in the method (b) of this example using the standing assist type smart handrail device 10, the subject is not equipped with a sensor, and only the movement of standing up with the handrail that is used on a daily basis accompanies the movement. Data can be acquired and the physical function of the subject can be estimated based on the data.
In the method of this example, the rising motion is divided into four events, for example, forward bending, getting out of bed, extension, and stabilization, and the muscle synergy of the subject is analyzed and evaluated. This is because it is thought that the rising motion is exerted as a total force by sharing the muscle strength of the limbs as well as the abdominal muscles, the back muscles, and other muscles that are decomposed.
In the present invention, the standing motion is divided into several events, the subject's data is analyzed, the subject's unique display is obtained, the temporal data is analyzed, and the temporal change is acquired. Understand weakened muscle strength.

<Example of basic motion analysis>
FIG. 6 schematically describes the four movements associated with the standing movement measured in this example.
Standing movement is an important movement that is the starting point of daily movement, and human standing movement is a collaborative movement of multiple muscles, and balance is also required. In the present invention, the standing motion is focused on four muscle coordinations (muscle synergies). The four muscle synergies are responsible for forward bending, getting out of bed, stretching the whole body, and controlling posture, and try to detect the muscle synergies with a sensor attached to a standing assist type smart handrail device.
When muscle strength and sensory function decline with aging, muscle synergy activity cannot be adjusted appropriately, activity timing becomes longer, peak timing changes, and motor function declines. In this way, it is possible to analyze and evaluate human physical function by capturing changes in muscle synergies.
Specifically, in the present invention, for example, when a human has weakened muscle synergies responsible for forward bending and getting out of bed, the human uses a handrail to move the body forward or push upward to compensate for the weakened muscle synergy. Focusing on such changes, changes in muscle synergies can be estimated from the force applied to the handrail. Based on this, in the present invention, 1. a handrail for measuring force during exercise is manufactured, 2. a method for identifying muscle synergies from force information is proposed, and 3. an experiment for evaluating physical function in the elderly is conducted. 4. Provide an inexpensive and easy-to-measure sensor.

FIG. 7 schematically describes the acquisition of the standing motion according to the present invention.
As described above, the standing up motion from the bed is examined by breaking it down into four motions: 1. flexion and extension of the upper body, 2. getting out of bed, 3. extension of the whole body, and 4. stabilization of posture. ..
In the first movement, 1. Bending and stretching movement of the upper body, the movement is to grab the handrail, pull the handrail, and sit on the bedside. At this time, a large force (F2 in FIG. 2) acts in the front-rear direction.
In the action of getting out of bed in 2., the action of lifting the waist while putting the weight on the legs is performed, and the action of pushing up the body while leaning against the handrail is performed, so that F1 in FIG. 2 becomes large. In this state, the weight cannot be firmly overcome on the legs, and the state is in the middle of bending and stretching, so the posture is unstable and various muscle strengths need to be balanced.
3. 3. In the extension of the whole body, the weight is put on the legs and the body is raised vertically. In this movement, the body is pushed up, so that F1 in FIG. 2 becomes large.
4. When the posture is stabilized, it becomes an upright state, but if it staggers back and forth, the detection force in the front and back direction becomes large. It is necessary to use various muscles to keep it upright.

In these four movements, the force acting on the handrail increases the horizontal force (mainly in the front-back direction) due to the forward bending 1 of the upper body and the stabilization 4 of the posture, and the vertical force (mainly in the front-back direction) in the getting-out movement 2 and the extension 3 of the whole body. Vertical force) increases.
In muscle synergy, it is necessary to master various muscles in each movement. Since the individuality of each individual appears from the difference in the degree of muscle attachment and the degree of muscle utilization, it is possible to detect, analyze and evaluate the change by grasping the individuality and acquiring the change with time.
In the present invention, changes in muscle strength and muscle balance of subjects such as the elderly are analyzed and evaluated by these motion analyzes and follow-ups to provide information. In addition, we provide training advice and nursing care advice.

<Standing motion and athletic ability>
FIG. 8 illustrates the standing motion and the athletic ability. It illustrates a state in which subject M is about to stand up by grasping the handrail portion 1 of the standing assist type smart handrail device 10. The posture and athletic ability of the next subject are estimated from the detection data of each sensor attached to the standing assist type smart handrail device 10.
(A) Estimate the position of the center of gravity and the center of rotation from the strain gauge attached to the handrail / bottom plate.
(B) The posture is estimated from the measurement data of the strain gauge attached to the handrail / bottom plate and the human kinematics model.
(C) Estimate the change in athletic ability from the force of pulling the handrail, the change of the center of gravity, etc.
(D) Warn to exercise when it senses signs of decreased athletic performance.
(E) From the change in posture, identify the part where muscle strength is weakened and give advice on appropriate exercise.

<Estimate a fall>
The standing assist type smart handrail device 10 can detect an abnormal situation such as a fall. The fall estimation will be described with reference to FIG.
(A) It is possible to estimate the backward fall from the time change of the load. In the case of the subject M1 who has fallen to the rear side, the weight on the bottom plate 51 is suddenly reduced by the fall, so that it is possible to judge by the change of the measured value of the strain gauge 61. The same applies to sideways.
(B) The subject M2 who has fallen forward leans forward, and the weight remains on the bottom plate 51, but the weight is also carried on the handrail portion 1, so that the value detected by the load sensor 2 becomes large, and the strain gauge 61 on the bottom plate becomes large. Since the load is distributed to the load sensor 2, it can be estimated that the load sensor 2 has fallen to the front side.
(C) When a fall is detected, it is possible to send a message to family members by e-mail, Twitter, etc. to notify them of the fall, or to start Skype and start a voice call with a family member in a remote place.

The standing motion observation / analysis method of the present invention has been described above. FIG. 10 shows a standing motion observation / analysis system 20 using this method.
The standing motion observation / analysis system 20 is composed of, for example, a standing assist type smart handrail device 10, a transmitting terminal 81, a server (cloud) 8, an analysis application 82, a terminal 83, a display 84, and the like.
The data acquired by the standing assist type smart handrail device 10 is sent to the server 8 via the transmitting terminal 81. The server function can also be placed in the cloud. The server 8 processes the received data for storage and stores it in the database. An application 82 such as analysis software is applied to the accumulated data, transmitted to a terminal 83 installed in a family or facility, and displayed on a display 84 or the like.
The user of the terminal 83 looks at the display and reads the changes of the elderly and takes necessary measures.

FIG. 11 shows a transmission flow of data measured by the standing assist type smart handrail device 10.
The standing assist type smart handrail device 10 is equipped with four load cells and a load sensor.
Step 101: Initialization In the initialization, the following processes are mainly executed.
(A) Opening the serial port: Since the serial port communicates with the microcomputer in the load sensor, the communication speed, data format (number of bits, presence / absence of parity, number of stop bits), etc. are set.
(B) I / O port function setting: Set the input / output of the GPIO function used for the strain gauge amplifier. Specifically, the data line (HX_DATx) is set to the input, and the clock line (HX_CLKx) is set to the output.
(C) Initialization of load sensor: Perform A / D conversion a preset number of times to determine the offset value.
(D) Initialization of strain gauge: First, 25 clocks are sent and the gain in the amplifier is set to 128 times without monitoring the state of the data line. Perform A / D conversion a preset number of times to determine the offset value.

Step 102: Read sensor The following process is executed.
(A) Store the data stored as the current value in another variable as the past value.
(B) Acquire the current time and store it in the time data variable.
(C) Read digital data from the load sensor / gauge amplifier and store it in the variable of the current value.

Step 103: Sensor value comparison The past value and the current value are compared, and the presence or absence of change is confirmed. If there is no change in the value, the sensor read is executed again. If there is a change, perform the following processing.

Step 104: Generate a transmission data string from time data variables and A / D conversion values of the load sensor / gauge amplifier for sending to the data shaping server.

Step 105: Data transmission Data is transmitted to the server. The transmission protocol is based on MQTT.

Step 106: Normal end of transmission After confirming that the transmission of data has been completed normally, the process returns to sensor reading. If an abnormal termination is detected, exception handling is performed.

Step 107: If the communication error response data transmission fails, the retransmission process is executed. If transmission fails a certain number of times, the abnormal termination of the log is output to the log and the program is terminated.

<Standing motion analysis / support system>
The present invention can be used in a house where a user lives by combining a standing assist type smart handrail device 10 and a CPU and a display for accumulating and analyzing measurement data thereof as a set. The standing operation / analysis / support system 30 is configured in cooperation with various facilities and the like using the above. FIG. 12 shows a network system 30A forming the standing motion analysis / support system 30.
The network system 30A is connected to a communication network 75 such as the Internet, a standing assist type smart handrail device terminal 71 (“transmitter” (hereinafter, “handrail terminal”), and a standing assist type smart handrail user terminal 72 (at home, server high residence). (Elderly people, etc.), support facility terminals 73 (hospitals, nursing homes, etc.), guardian terminals 74 (family, etc.), servers 8 (cloud), affiliated facility terminals 76, etc. are connected.
The network system 30A forming the standing motion / analysis / support system 30 can provide an organic service by connecting the terminals 83 of the standing motion observation / analysis system 20 shown in FIG. 10 to the terminals of various related parties via a network. It is a system like this. It is intended to provide emergency contact and necessary long-term care services by connecting a large number of handrail terminals 71 with guardians of hospitals, long-term care facilities, and family members. Furthermore, it is a system that can maintain and improve the sociality of the elderly, etc. by connecting to various facilities that maintain and improve their lives, such as rehabilitation, fitness, and restaurants.

FIG. 13 shows an example of a support project utilizing the standing motion / analysis / support system 30.
In this figure, the elderly people who use the standing assist type smart handrail device 10 are set to be in a nursing care facility as well as at home.
The information measured by the handrail terminal 71 is sent to the cloud (server) 8, and the information analyzed and evaluated using the application 82 that analyzes and evaluates the standing motion is analyzed and evaluated by the family terminal 74 and the hospital or nursing facility terminal 73. You will get it. Furthermore, various services can be provided by concluding a partnership service contract with various facilities and equipment such as insurance, restaurants, training gyms, drug stores, and welfare equipment rentals.

FIG. 14 shows an example of analysis / evaluation and display related to various services.
The user terminal 72 for the elderly and the like can be in contact with the terminal 74 for the family and the like on a daily basis, and can receive service information for elderly groups and nursing care facilities, and service information for affiliated stores.
On the other hand, the data obtained from the standing assist type smart handrail device 10 is output in the form of the day data 85, the short-term analysis result 86, and the long-term analysis result 87.
According to the data 85 on the day, it is possible to grasp the number of times of standing up on that day, and if there are many, it is possible to stand up without any inconvenience, and if the number of times decreases, it can be inferred that the physical strength is weakened. In the short-term analysis result 86, a short-term change in physical condition is observed, and in the long-term analysis result 87, the trend of the physical condition change can be grasped, which can be useful for planning countermeasures.

10: Standing assist type smart handrail device 20: Standing motion observation / analysis system 30: Standing motion / analysis / support system

1: Handrail 11: Horizontal bars 2, 3: Standing motion detection sensor 2: Load sensor 21: Pressure-sensitive conductive rubber electrode 22: Comb electrode 23: Matrix electrode 24: Gripping point 25: Touch sensor controller 29: Data transmission Machine

3: Load direction sensor 31: Vertical direction sensor 32: Front-back direction sensor 33: Left-right direction sensor 34: Load cell type sensor 35: Gauge amplifier 4: Standing motion analysis / evaluation device

51: Bottom plate 52: Support 53: Intermediate bar

6: Weight sensor 61: Strain gauge

71: Standing assist type smart handrail device terminal (handrail terminal)
72: Handrail user terminal 73: Support facility terminal (hospital, long-term care facility, etc.)
74: Guardian terminal (family, etc.)
75: Communication network 76: Affiliated facilities

8: Server (cloud)
81: Transmission terminal 82: Analysis application 83: Terminal 84: Display 85: Same-day data 86: Short-term analysis result 87: Long-term analysis result

Claims (6)

A standing assist type smart handrail device equipped with a standing motion detection sensor and a data transmitter. It is equipped with a handrail part equipped with a standing motion detection sensor and a standing motion analysis / evaluation device.
The standing motion detection sensor is a load sensor that detects the load applied when the handrail is gripped, and a load direction sensor that detects the direction of the load (grip force).
The standing motion analysis / evaluation device is a standing assist type smart handrail device characterized by analyzing and evaluating the standing motion of a user based on the data detected by each detection sensor. The load sensor is a load sensor that detects the gripping position composed of pressure-sensitive conductive rubber and matrix electrodes attached to the horizontal bar of the handrail.
The standing assist type smart handrail device according to claim 1, wherein the load direction sensor is a load cell type sensor that measures the force applied to the handrail in each of the three directions of up / down, front / back, and left / right. The standing assist type smart handrail device has a bottom plate, a support column erected on the bottom plate, and a handrail portion attached to the support column.
A weight sensor is integrally provided on the bottom plate, and the weight sensor is provided with a strain gauge on the bottom plate arranged in a mesh shape.
The standing assist according to any one of claims 1 to 3, wherein the position of the center of gravity and the center of rotation are obtained based on the detection data of the bottom plate strain gauge, and the standing motion is analyzed and used as one of the elements to be evaluated. Type smart handrail device. The grip detection data obtained from the standing assist type smart handrail device according to any one of claims 1 to 4 is stored in a database, and the standing motion of the user is analyzed in chronological order to determine the degree of independence of the user's life. An upright motion observation / analysis system characterized by evaluation. The standing operation analysis / support system in which the standing assist type smart handrail device terminal, the handrail user terminal, the support facility terminal, the guardian terminal, and the server are connected to the communication network according to any one of claims 1 to 4. ,
The handrail device terminal sends the gripping data to the server and
The server accumulates gripping data, evaluates the degree of independence of the user's life based on the gripping detection data, and sends the evaluation to the guardian terminal, the support facility terminal, and the user terminal. Analysis / support system.

Images