WO2015114902A1 - Dispositif déterminant la sortie de lit par son occupant et méthode déterminant la sortie d'un lit - Google Patents

Dispositif déterminant la sortie de lit par son occupant et méthode déterminant la sortie d'un lit Download PDF

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Publication number
WO2015114902A1
WO2015114902A1 PCT/JP2014/079451 JP2014079451W WO2015114902A1 WO 2015114902 A1 WO2015114902 A1 WO 2015114902A1 JP 2014079451 W JP2014079451 W JP 2014079451W WO 2015114902 A1 WO2015114902 A1 WO 2015114902A1
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Prior art keywords
determination
bed
bedding
determination criterion
detected
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PCT/JP2014/079451
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English (en)
Japanese (ja)
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岡田　和久
花野　雅昭
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シャープ株式会社
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
    • A61B5/1115—Monitoring leaving of a patient support, e.g. a bed or a wheelchair
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis

Definitions

  • the present invention relates to a bed leaving determination device that detects that a person leaves the bed.
  • Patent Document 1 a conventional technique such as Patent Document 1 has been proposed.
  • Patent Literature 1 it is determined whether the care recipient has left the floor by performing image processing on a camera image as shown in FIG.
  • B represents a bed area
  • A represents a floor area
  • B4 and B5 represent bed boundary sides, and if a human body movement is detected from the area B through B4 or B5 in the area A by image processing, it is determined to be a bed. To do.
  • JP 2002-230533 A Japanese Patent Publication “JP 2002-230533 A”
  • Patent Document 1 when a visitor or a care worker is nearby or is caring for a care recipient, human body movement is detected in the areas of A, B, B4, and B5. You may mistakenly determine that you are getting out of bed. If an incorrect bed determination is reported to a caregiver at another location through a nurse call or other communication method, the caregiver will need to go to the caregiver each time, increasing the burden. End up. In order to prevent this, the visitor may switch off the detection device or judgment device before approaching the care recipient, but forget to switch on the detection device or judgment device when leaving the care recipient. After that, it becomes impossible to detect the bed of the care recipient.
  • an object of the present invention is to provide a bed leaving determination apparatus that determines the bed leaving state more accurately according to the situation, with the object of solving the above problems.
  • a bed leaving determination apparatus includes a bedding, a camera that captures images of the periphery of the bedding, a motion detection unit that detects motion based on image information captured by the camera, and an observation target person's
  • a bed leaving determination device including a situation determination unit for determining a situation, wherein the situation determination unit has a plurality of determination criteria for situation determination, and the situation is based on the detection result of the motion detection unit and the currently selected determination criterion. Further, based on the detection result of the motion detection unit, a determination criterion for the next determination is selected from a plurality of determination criteria.
  • the motion detection unit includes a bedding area that is an area occupied by the bedding, a bedding side area that passes when getting off the bedding, and a bedding side area from outside the image information.
  • the situation determination unit has two determination criteria of a first determination criterion and a second determination criterion. According to the first determination criterion, no motion is detected in the peripheral region. And when the movement is detected in the bedding side area, it is determined that the person is getting out of bed. In the second criterion, it is determined that the care is being performed when the movement is detected in the bedding side area.
  • the second determination criterion is selected as the determination criterion for the next determination, and if no movement is detected in either the bedding side region or the surrounding region in the second determination criterion, Select the first criterion as the criterion Rukoto is preferable.
  • the situation determination unit further includes a third determination criterion.
  • the first determination criterion no movement is detected in the surrounding area and movement is detected in the bedding side area.
  • the third determination criterion is selected as the determination criterion for the next determination, and the third determination criterion determines that the person is in bed when movement is detected in the bedding area and no movement is detected in the bedding side area.
  • the first determination criterion is selected as the determination criterion for the next determination, and when the movement is detected in the bedding region at the start of the bed leaving determination process, the first determination criterion is selected, and the movement is not detected in the bedding region. It is preferable to select the third criterion.
  • the motion detection unit moves from the image information to the bedding area that is the area occupied by the bedding, the bedding side area that passes when the bedclothes are taken off, and the bedding side area from the outside.
  • the situation determination unit has two determination criteria, a first determination criterion and a third determination criterion.
  • the first determination criterion no motion is detected in the peripheral region.
  • the third determination criterion is selected as the determination criterion for the next determination.
  • the third determination criterion movement is detected in the bedding area, and the bedding side If no motion is detected in the area, it is determined that the user is in the floor, and the first determination criterion is selected as the determination criterion for the next determination, and the first is detected when motion is detected in the bedding region at the start of the bed leaving determination process. Select the criteria and in the bedding area It is preferable to select a third criterion if Kiga not detected.
  • the situation determination unit further includes a second determination criterion, and when a motion is detected in the surrounding area in the first determination criterion, the second determination is performed as a determination criterion for the next determination.
  • a criterion is selected, and in the second determination criterion, when movement is detected in the bedding-side region, it is determined that care is being performed, and in the second determination criterion, no movement is detected in either the bedding-side region or the surrounding region.
  • the first determination criterion is used at a normal time when the observation subject is substantially in the bedding.
  • the second determination criterion is substantially used when the observation subject is cared for.
  • the third determination criterion is substantially used when the observation subject leaves the bed.
  • the situation determination unit selects a different determination criterion after the same motion detection result is continuously obtained a predetermined number of times, selecting a determination criterion different from that currently selected. It is preferable to do.
  • the bed leaving determination apparatus of the present invention it is preferable to output both the result of determining the situation and the currently selected determination criterion to a predetermined output destination.
  • the bed leaving determination method includes a bed detection including a movement detection step of detecting movement based on image information of the bedding and the surroundings of the bedding taken by a camera, and a situation determination step of determining the situation of the observation target person.
  • the motion detection step is passed when moving from the image information to the bedding area which is an area occupied by the bedding, the bedding side area which is passed when getting off the bedding, and the bedding side area from the outside.
  • the situation determination step determines the situation based on the first determination criterion or the second determination criterion. According to the first determination criterion, no motion is detected in the peripheral region, and in the bedding side region. When movement is detected, it is determined that the person is getting out of bed.
  • the second determination criterion when movement is detected in the bedding-side area, it is determined that care is being performed. Furthermore, according to the first determination criterion, movement is detected in the surrounding area. In this case, the second determination criterion is selected as the determination criterion for the next determination, and the first determination criterion is used as the determination criterion for the next determination when no motion is detected in any of the bedding side region and the surrounding region in the second determination criterion. It is characterized by selecting.
  • the present invention even when a visitor or a care worker is in the vicinity of a bed or is caring for a care recipient, it is not determined that the care recipient has left the floor by mistake. Unnecessary calls to caregivers in the hospital can be suppressed, reducing the burden on caregivers. Moreover, it is not necessary to turn off the detection device, the determination device, or the sensor attached to the device each time the care worker cares. In addition, it is possible to prevent the problem of leaving the bed and forgetting to turn on the switch after the end of care.
  • the bed leaving determination apparatus includes a camera for shooting around the bed and an image processing unit for determining bed removal from a care recipient based on image information captured by the camera.
  • FIG. 1 shows a camera image in the bed leaving determination apparatus according to the present invention.
  • FIG. 1 shows a region division method for a camera image.
  • FIG. 1A shows the case where the bed is at the end of the room, and
  • FIG. 1B shows the case where the bed is in the center of the room.
  • the areas shown in the camera image are designated as the bed area 11, the bedside area 12, the peripheral area 13, and the other external area 14, and the bed area 11, the bedside area 12, and the surrounding area are designated.
  • the detection of getting out of bed is performed by detecting the movement in each of the areas 13.
  • the peripheral area 13 does not include the bed area 11 and the bedside area 12, and the external area 14 does not include the peripheral area 13, the bed area 11, and the bedside area 12.
  • the bed area 11 designates the bed area shown in the camera image. This area is designated to detect the movement of the care recipient on the bed.
  • the bedside area 12 designates a bedside area that may pass when leaving the bed.
  • the width is about the width of the human body (about 50 cm). This area is designated to detect movements such as a care recipient trying to get out of bed, or a visitor or care worker providing care near the bed.
  • the peripheral area 13 designates an area around the bed, and preferably includes an area that passes through from the bed to the exit of the room. This area is designated to detect movements such as a care recipient walking in the room or a visitor or care worker entering the room.
  • the bedside area 16 and the bedside area 17 are divided into the peripheral area 18 and the external area 19 as the bedside area.
  • the peripheral area 18 does not include the bed area 15 and the bedside areas 16 and 17.
  • the external area 19 does not include the bed area 15, the bedside areas 16 and 17, and the peripheral area 18.
  • FIGS. 1A and 1B show an example in which the camera is mounted so as to face directly downward from the ceiling side, but the camera may face in an oblique direction. In this case, since the bed is photographed as a trapezoidal or distorted quadrangular region, it is necessary to set each region accordingly.
  • FIG. 1A will be described as an example.
  • FIG. 2 shows a block diagram of the bed leaving determination apparatus according to the present invention.
  • the bed leaving determination device 21 includes a camera 22, an image data buffer 23 that temporarily stores an image captured by the camera 22, and a motion that detects a motion by performing image processing on the image in the image data buffer 23. It comprises a detection unit 24, a situation determination unit 25 that performs bed leaving determination based on the result detected by the motion detection unit 24, and a result output unit 26 that outputs the bed removal determination result determined by the situation determination unit 25 to the outside.
  • the camera 22 selects the one with the angle of view that captures the bed and the surrounding area. For example, when a camera is mounted 2 m above the bed, using a camera with a focal length of 28 to 35 mm in terms of 35 mm film, an angle of view that can capture the bed and its surroundings can be obtained. If the mounting height must be lowered, a camera with a shorter focal length may be selected.
  • the image data buffer 23 is a memory for storing images.
  • the RAM is on the microcomputer board.
  • the memory of the PC corresponds to the RAM.
  • the motion detection unit 24 and the situation determination unit 25 are software executed on a microcomputer or a PC, but hardware that performs the same operation as the software can also be realized using an FPGA or the like.
  • the motion detection part 24 and the situation determination part 25 are made into two components from the functional role, in fact, one software may perform two roles.
  • the result output unit 26 is for informing the outside of the detection result obtained as a result of the image processing, and is a method of notification by voice, notification by lamp, notification to other PCs etc. via LAN, or nurse. Appropriate methods can be selected as needed, such as notification via a call.
  • FIG. 3 shows a flowchart of image processing executed by the motion detection unit 24 and the situation determination unit 25 in FIG.
  • S represents a step.
  • S31 to S34 are functions related to the motion detection unit 24
  • S35 to S37 are functions related to the situation determination unit 25.
  • initialization S31 is performed after the start of processing, such as when the power is turned on.
  • the operation mode of the determination process S35 is initialized. Details will be described later.
  • the image data is read from the image data buffer 23 of FIG.
  • the acquired image is compared with the past image, and a pixel whose value has changed by a certain threshold value or more is detected.
  • the simplest is to compare the current image with the previous image. Further, if the current image is compared with the average value of 1 to n images before, the influence of noise and the like can be reduced.
  • a background separation method generally used in the image processing field may be used.
  • the value change threshold is set to 10 in the case of an 8-bit image, for example. The threshold value is provided because the pixel value of the image slightly changes even if the same place that is not moving is photographed.
  • the number of pixels that have moved is counted for each of the bed area 11, the bedside area 12, and the peripheral area 13 specified in FIG.
  • a threshold value it is determined that there has been movement in that region. If the threshold is small, it is possible to determine even a small movement, but if it is too small, it is erroneously determined that there is a movement when there are many pixels that have changed due to camera noise. Therefore, it is preferable to make the threshold value as small as possible without causing erroneous determination due to noise.
  • the threshold value of the ratio may be 10%, for example, though it depends on the performance of the camera.
  • the bed leaving determination is performed based on the motion detection results for the bed region 11, the bedside region 12, and the peripheral region 13 obtained in S34.
  • the judgment of getting out of bed of this application is performed as follows.
  • a plurality of determination criteria according to the state of the care recipient is provided, and accurate determination according to the situation is realized by determining according to the state.
  • This judgment criterion is called “operation mode”, and an operation mode that matches the current situation is selected from a plurality of operation modes, and the above motion detection result is applied to the judgment criterion of the selected operation mode. I do. Specifically, a corresponding determination result is set for the combination of the motion detection results, and the correspondence can be confirmed in the form of a determination table.
  • the operation mode is different, different bed leaving determinations may be made. Specific examples of the operation mode will be described in each embodiment.
  • the normal mode is selected.
  • S36 according to the detection result obtained in S35, if necessary, it is output to the outside (reporting process), and the process proceeds to S37. If the notification is not required, the process proceeds to S37 without the notification process.
  • all the detection results may be issued, or may be issued only when a previously designated result is detected. What is necessary is just to design suitably according to the objective and necessity.
  • the “next mode”, that is, the next operation mode is determined according to the detection result obtained in S35. According to another expression, it can also be expressed as holding the current operation mode or shifting to another operation mode as the next operation mode. Note that the order of S36 and S37 may be reversed.
  • Example 1 will be described as a specific example of the bed leaving determination apparatus according to the present invention.
  • the repetition frequency of motion detection and bed leaving detection is sufficiently shorter than the normal operation time of a person requiring care or a care worker, and is continuously detected. ⁇ Assume that a decision has been made. In other words, it is assumed that human motion is not detected and missed.
  • the situation determination unit 25 in FIG. 2 has two operation modes, “normal mode” and “bed-off mode”, in making the situation determination in S35 of FIG.
  • Normal mode is an operation mode for detecting bed removal in the situation where a care recipient is sleeping on a bed.
  • the bed leaving mode is a mode that indicates a state in which the person requiring care has left the floor and is within the range of being photographed by the camera or has gone out of the room.
  • the operation mode is initialized to the normal mode in S31 after the processing is started as described above.
  • Table 1 shows a determination table of determination criteria for each of the “normal mode” and the “get-off mode” as a specific example of the determination method in the first embodiment.
  • the current operation mode is the normal mode (a)
  • the table of (b) is used, and according to the “Yes” and “No” motion detection results in the bed area, the bedside area, and the surrounding area A “judgment result” is obtained.
  • the “next mode” corresponding to the detection result is set, and the determination is performed in the operation mode of the transition destination at the next determination.
  • the “next mode” column is the current mode
  • the operation mode is not changed at the next determination, and the determination is performed in the same operation mode as this time. It can be expressed that the current operation mode is selected at the next determination.
  • the judgment results include “body movement”, “getting out of bed”, “getting out of bed”, “under care”, “landing”, “stationary”.
  • Body movement means that the care recipient moved his body by turning over.
  • Preparation for getting out of bed means that the care recipient is preparing for getting out of bed, such as sitting by the bed.
  • “Nursing” means that a care worker or visitor is near the bed and doing some work.
  • body movement”, “stationary”, and “landing” can also be expressed as “being in bed” by the care recipient. It can be expressed as “in-bed (landing)”, and both can also be expressed as “in-bed”.
  • “getting out of bed” can be interpreted as “getting out of bed” and expressed as “getting out of bed (preparation)”.
  • under care is considered to be important to care, and the “careful” and “out of bed” of the care recipient at that time are not questioned, and are not particularly expressed. To do.
  • the above wording is used in each table and each example, but this is only an example, and the determination result may be appropriately set.
  • Table 1 (a) “normal mode” is set by initialization of S31.
  • the condition 1 in Table 1 (a) is satisfied, so the determination is “still”.
  • the condition 2 in Table 1 (a) is satisfied, and therefore the determination of “body movement” is made.
  • the normal mode is maintained.
  • the condition 4 in Table 1 (a) is satisfied, so the judgment is “Preparation for getting out of bed”, and the process proceeds to Table 1 (b) “Getting out of bed”.
  • condition 4 Since the state of condition 4 continues in the motion detection result even after the transition to the bed leaving mode, it becomes condition 4 in Table 1 (b) and the determination of “prepare to leave” does not change. Subsequently, when the care recipient rises by the side of the bed, the condition 3 in Table 1 (b) is satisfied, so the determination is “getting out of bed”. Further, when the care recipient walks toward the entrance of the room, the condition 5 in Table 1 (b) is satisfied, so that the determination of “getting out of bed” is also made. Next, when the care recipient returns to the bed, it becomes condition 2 through condition 4 in Table 1 (b). Move to "Mode".
  • the first embodiment takes two operation modes of “normal mode” and “bed-off mode”, so that the background and state up to that point are not compared with the case where a plurality of operation modes are not used. Since the judgment criteria according to the actual condition are provided, the situation of the care recipient can be judged accurately. For example, it is assumed that a care recipient is stationary in the bed area 11 and is stationary in a region other than the bed region 11 (the bedside region 12 or the peripheral region 13). Both of the motion detection results are “None” in all the areas, and therefore the condition 1 is. However, if the operation mode at this time is the normal mode, it is understood that the user is in the bed area 11; It can be seen that the area is other than 11.
  • the caregiver can confirm both the situation determination result and the currently selected criterion, so More accurate judgment can be made.
  • condition 1 when it goes out of the room after getting out of bed, it can be interpreted as being included in the range of “getting out” in the leaving mode. In the case of going out, it may be determined as “getting out (going out)” by interlocking with opening and closing of the door of the room.
  • the repetition frequency of motion detection and bed leaving determination is sufficiently short compared with the time during which a person normally operates, so even if the operation mode is switched in a certain state (condition), both before and after the switching. If the determination of the state (condition) is made common in the operation mode, a determination error can be prevented. In the operation mode after the transition, if it is designed to make a judgment different from the same condition before the transition after changing from that state (condition) to another state (condition), more accurate situation will be judged by the operation mode can do.
  • Example 2 will be described as a specific example of the bed leaving determination apparatus according to the present invention.
  • Example 2 is the same as the apparatus configuration and function of each apparatus in Example 1 except for the operation mode. Hereinafter, a different part from Example 1 is demonstrated.
  • the situation determination unit 25 in FIG. 2 has two operation modes of “normal mode” and “nursing mode” when performing the situation determination in S35 of FIG.
  • Normal mode is an operation mode for detecting bed removal in the situation where a care recipient is sleeping on a bed.
  • Care care mode is an operation mode that indicates a state in which a visitor or a care worker has come to the bed and is performing work such as care.
  • the operation mode is initialized to the normal mode in S31 after the processing is started as described above.
  • Table 2 shows a determination table of determination criteria for “normal mode” and “care mode” as specific examples of the determination method in the second embodiment.
  • the current operation mode is the normal mode (a)
  • the care mode is (b)
  • use the table of (b) according to the “Yes” and “No” motion detection results in the bed area, the bedside area, and the surrounding area, A “judgment result” is obtained.
  • the “next mode” corresponding to the detection result is set, and the determination is performed in the operation mode of the transition destination at the next determination.
  • the “next mode” column is the current mode, the operation mode is not changed at the next determination, and the determination is performed in the same operation mode as this time. It can be expressed that the current operation mode is selected at the next determination.
  • Table 2 (a) “normal mode” is set by the initialization of S31.
  • condition 5 in Table 2 (a) is satisfied.
  • the determination is “still”, and the operation mode shifts to (b) “care mode” by this determination.
  • the state of condition 5 continues in the motion detection result, so that condition 5 in Table 2 (b) is obtained and the “still” determination is not changed.
  • the condition 7 or 8 in Table 2 (a) is satisfied, so the determination is “being in care”.
  • the configuration of the second embodiment even when a visitor or a care worker is in the vicinity of a bed or is caring for a care recipient, it is determined that the care recipient has accidentally left the floor. As a result, unnecessary calls to caregivers in different locations can be suppressed, reducing the burden on caregivers. Moreover, it is not necessary to turn off the detection device, the determination device, or the sensor attached to the device each time the care worker cares. In addition, it is possible to prevent the problem of leaving the bed and forgetting to turn on the switch after the end of care.
  • Example 3 will be described as a specific example of the bed leaving determination apparatus according to the present invention.
  • Example 3 is the same as the apparatus configuration and function of each apparatus in Example 1 except for the operation mode. Hereinafter, a different part from Example 1 is demonstrated.
  • the situation determination unit 25 in FIG. 2 has three operation modes of “normal mode”, “get-off mode”, and “care mode” when performing the situation determination in S35 of FIG.
  • Normal mode is an operation mode for detecting bed removal in the situation where a care recipient is sleeping on a bed.
  • Leave bed mode is a mode that indicates a state where the care recipient is within the range that can be captured by the camera after getting out of bed.
  • Care care mode is an operation mode that indicates a state in which a visitor or a care worker has come to the bed and is performing work such as care.
  • the operation mode is initialized to the normal mode in S31 after the processing is started as described above.
  • Table 3 shows a determination table of determination criteria for “normal mode”, “get-off mode”, and “care mode” as specific examples of the determination method in the third embodiment.
  • Table 3 (a) “normal mode” is set by initialization of S31.
  • the condition 1 in Table 1 (a) is satisfied, so the determination is “still”.
  • the condition 2 in Table 3 (a) is satisfied, and therefore the “body movement” is determined.
  • the condition 4 in Table 3 (a) is satisfied, so the determination is “prepare to get out of bed”, and the condition shifts to the condition 4 of (b) “bedout mode”.
  • Example 3 when the condition 6 of Table 3 (b) “Getting out mode” is satisfied, the next mode is defined to shift to “Normal mode”, and Table 3 (a) “Normal mode” of the transfer destination is defined. ”Is defined to shift to the“ care mode ”as the next mode, but as described above, the determination interval is set sufficiently short relative to the actual movement of the care recipient or care worker. If this is done, the state of condition 6 continues, so that it is possible to steadily shift to Table 3 (c) “care mode” without delay. Actually, when the condition 6 in Table 3 (b) “Getting out mode” is satisfied, it is possible to define that the next mode is directly shifted to the “care mode”. What is necessary is just to design suitably.
  • the configuration of the third embodiment even when a visitor or a care worker is in the vicinity of a bed or is caring for a care recipient, it is determined that the care recipient has accidentally left the floor. As a result, unnecessary calls to caregivers in different locations can be suppressed, reducing the burden on caregivers. Moreover, it is not necessary to turn off the detection device, the determination device, or the sensor attached to the device each time the care worker cares. In addition, it is possible to prevent the problem of leaving the bed and forgetting to turn on the switch after the end of care.
  • Example 4 will be described as a specific example of the bed leaving determination apparatus according to the present invention.
  • Example 4 is characterized in that the bed leaving determination device selects an operation mode according to the situation at the time of initialization in S31 of FIG.
  • the fourth embodiment is the same as the apparatus configuration and function of each apparatus in the third embodiment except for the operation mode selection at the time of initialization.
  • Example 3 a different part from Example 3 is demonstrated.
  • the process will be in “normal mode” by the initialization of S31.
  • the condition 5 in Table 3 (a) is satisfied, and therefore the determination is “still”.
  • the condition 7 in Table 3 (a) is satisfied, so the determination is “being in care” and the process shifts to “care mode”.
  • the determination is “body movement” and the process proceeds to the “normal mode”. In this way, since it is not possible to distinguish whether the person who entered from outside the room is a care worker or a care recipient, the care worker is misjudging that the care worker is in bed There is a case.
  • the configuration of the fourth embodiment is configured as “normal mode” when there is a care recipient in the bed in the initialization of S31 in the flowchart of FIG. 3, and there is no care recipient in the bed.
  • the “get-off mode” is set.
  • Any method may be used to determine whether there is a care recipient in the bed.
  • a face recognition method using a camera image a method using a thermal sensor, or the like can be used.
  • the process is changed to the “getting out mode” instead of the “normal mode” by the initialization of S31.
  • the condition 5 in Table 1 (b) is satisfied, and therefore the determination of “get out of bed” is made.
  • the condition 7 in Table 1 (b) is satisfied, so the determination is “get out of bed”.
  • the condition 2 in Table 1 (b) is satisfied, so the determination is “landing” and the process proceeds to the “normal mode”. In this way, it can be determined that the care recipient has landed.
  • correct bed determination can be performed regardless of whether or not the bed is in need of a caregiver when the bed determination apparatus is turned on. it can.
  • Example 5 which is another specific example will be described with reference to FIG.
  • the operation mode at the time of the next detection is set as the “next mode”. However, if an erroneous determination is temporarily made due to noise or the like, the mode changes accordingly. There is a possibility that an erroneous determination due to an error in the operation mode will continue thereafter.
  • the configuration of the fifth embodiment is, as the configuration, obtained in the determination result instead of immediately shifting to the “next mode” obtained from the determination result in S37 of the flowchart of FIG.
  • the “next mode” is stored for a predetermined number of times, and when the same “next mode” determination is obtained for a predetermined number of times, the mode is actually changed.
  • the configuration other than the above configuration is the same as the configuration and function of the third embodiment.
  • the predetermined number of times is set to about 5. Although there will be a delay of 0.5 seconds in changing the operation mode, there is no problem because it is sufficiently shorter than the time required for the care recipient to get out of bed.
  • the repetition frequency of motion detection and bed leaving determination is sufficiently short compared with the time during which a person normally operates, so even if the operation mode is switched in a certain state (condition), both before and after the switching. If the determination of the state (condition) is made common in the operation mode, a determination error can be prevented.
  • the predetermined number of times and time may be designed so that the determination result and the operation mode are appropriately switched.
  • the operation mode is not changed. It can be suppressed, and reliable bed leaving determination can be realized.
  • the bed leaving determination device includes a bedding and a camera that captures the image of the periphery of the bedding, a motion detection unit that detects motion based on image information captured by the camera, and a situation determination unit that determines the status of the observation target person.
  • the situation determination unit includes a plurality of determination criteria for determining the situation, determines the situation based on the detection result of the motion detection unit and the currently selected determination criterion, and further detects motion.
  • a determination criterion for the next determination is selected from a plurality of determination criteria based on the detection result of the part.
  • the motion detection unit moves from the image information to the bedding area that is the area occupied by the bedding, the bedding side area that passes when the bedclothes are taken off, and the bedding side area from the outside.
  • the situation determination unit has two determination criteria, a first determination criterion and a second determination criterion, and in the first determination criterion, no motion is detected in the peripheral region, In addition, when movement is detected in the bedding-side area, it is determined that the person is getting out of bed. In the second determination criterion, when movement is detected in the bedding-side area, it is determined that care is being performed.
  • the second determination criterion is selected as the determination criterion for the next determination when a motion is detected in the next determination, and the determination at the next determination is made when no motion is detected in either the bedding armor region or the surrounding region in the second determination criterion.
  • the bed leaving determination method includes a bed detection including a movement detection step of detecting movement based on image information of the bedding and the surroundings of the bedding taken by a camera, and a situation determination step of determining the situation of the observation target person.
  • the motion detection step is passed when moving from the image information to the bedding area which is an area occupied by the bedding, the bedding side area which is passed when getting off the bedding, and the bedding side area from the outside.
  • the situation determination step determines the situation based on the first determination criterion or the second determination criterion. According to the first determination criterion, no motion is detected in the peripheral region, and in the bedding side region. When movement is detected, it is determined that the person is getting out of bed.
  • the second determination criterion when movement is detected in the bedding-side area, it is determined that care is being performed. Furthermore, according to the first determination criterion, movement is detected in the surrounding area. In this case, the second determination criterion is selected as the determination criterion for the next determination, and the first determination criterion is used as the determination criterion for the next determination when no motion is detected in any of the bedding side region and the surrounding region in the second determination criterion. It is characterized by selecting.
  • the situation determination unit further includes a third determination criterion.
  • the first determination criterion no movement is detected in the surrounding area and movement is detected in the bedding side area.
  • the third determination criterion is selected as the determination criterion for the next determination, and the third determination criterion determines that the person is in bed when movement is detected in the bedding area and no movement is detected in the bedding side area.
  • the first determination criterion is selected as the determination criterion for the next determination, and when the movement is detected in the bedding region at the start of the bed leaving determination process, the first determination criterion is selected, and the movement is not detected in the bedding region. It is preferable to select the third criterion.
  • the motion detection unit moves from the image information to the bedding area that is the area occupied by the bedding, the bedding side area that passes when the bedclothes are taken off, and the bedding side area from the outside.
  • the situation determination unit has two determination criteria, a first determination criterion and a third determination criterion.
  • the first determination criterion no motion is detected in the peripheral region.
  • the third determination criterion is selected as the determination criterion for the next determination.
  • the third determination criterion movement is detected in the bedding area, and the bedding side If no motion is detected in the area, it is determined that the user is in the floor, and the first determination criterion is selected as the determination criterion for the next determination, and the first is detected when motion is detected in the bedding region at the start of the bed leaving determination process. Select the criteria and in the bedding area It is preferable to select a third criterion if Kiga not detected.
  • the situation determination unit further includes a second determination criterion, and when a motion is detected in the surrounding area in the first determination criterion, the second determination is performed as a determination criterion for the next determination.
  • a criterion is selected, and in the second determination criterion, when movement is detected in the bedding-side region, it is determined that care is being performed, and in the second determination criterion, no movement is detected in either the bedding-side region or the surrounding region.
  • the first determination criterion is used at a normal time when the observation subject is substantially in the bedding.
  • the second determination criterion is substantially used when the observation subject is cared for.
  • the third determination criterion is substantially used when the observation subject leaves the bed.
  • the situation determination unit selects a different determination criterion after the same motion detection result is continuously obtained a predetermined number of times, selecting a determination criterion different from that currently selected. It is preferable to do.
  • the bed leaving determination apparatus of the present invention it is preferable to output both the result of determining the situation and the currently selected determination criterion to a predetermined output destination.
  • the present invention can be used in a bed leaving determination device that detects that a person leaves the bed.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Accommodation For Nursing Or Treatment Tables (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Invalid Beds And Related Equipment (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

L'invention concerne un dispositif déterminant la sortie de lit par son occupant (21), ledit dispositif comprenant une image qui capture le périmètre du lit inscrit dans la zone occupée par le lit, une zone de chevet qui est une zone du sol sur laquelle l'occupant du lit passe quand il quitte le lit et dont la largeur vaut à peu près la largeur d'un corps, et une zone périphérique traversée par personne qui se déplace de l'extérieur en direction de la zone de chevet. En mode normal, le déplacement détecté dans la zone de chevet est déterminé comme une sortie de lit, mais si le déplacement n'est détecté que dans la zone périphérique, le mode soins infirmiers est activé. En mode soins infirmiers, le déplacement détecté dans la zone de chevet n'est pas identifié comme étant une sortie de lit. L'invention permet donc d'obtenir un dispositif qui reconnaît qu'un soignant ou qu'un visiteur s'approche du lit, et qui écarte la possibilité de sortie de lit d'un patient nécessitant des soins même si le déplacement d'une personne est détectée dans la zone de chevet ou dans la zone périphérique.
PCT/JP2014/079451 2014-01-29 2014-11-06 Dispositif déterminant la sortie de lit par son occupant et méthode déterminant la sortie d'un lit WO2015114902A1 (fr)

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JP2014-013870 2014-01-29
JP2014013870A JP2015139550A (ja) 2014-01-29 2014-01-29 離床判定装置および離床判定方法

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Cited By (5)

* Cited by examiner, † Cited by third party
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WO2018012432A1 (fr) * 2016-07-12 2018-01-18 コニカミノルタ株式会社 Dispositif de détermination de comportement et procédé de détermination de comportement
BE1025269B1 (fr) * 2017-09-29 2019-01-03 KapCare SA Dispositif et methode pour detecter qu’une personne alitee quitte son lit ou a chute.
WO2019031012A1 (fr) * 2017-08-10 2019-02-14 コニカミノルタ株式会社 Dispositif de détection d'action et procédé associé, et système d'aide à la surveillance d'une personne surveillée
CN111568437A (zh) * 2020-06-01 2020-08-25 浙江大学 一种非接触式离床实时监测方法
AT523655A4 (de) * 2020-05-05 2021-10-15 Opus Novo Gmbh Beleuchtungsmodul

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JP6870514B2 (ja) * 2017-07-14 2021-05-12 オムロン株式会社 見守り支援システム及びその制御方法

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JP2007202847A (ja) * 2006-02-02 2007-08-16 Matsushita Electric Works Ltd 在床検出装置
JP2008224396A (ja) * 2007-03-12 2008-09-25 Saxa Inc 移動体検出装置及び移動体検知システム
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WO2018012432A1 (fr) * 2016-07-12 2018-01-18 コニカミノルタ株式会社 Dispositif de détermination de comportement et procédé de détermination de comportement
JPWO2018012432A1 (ja) * 2016-07-12 2019-05-09 コニカミノルタ株式会社 行動判定装置及び行動判定方法
JP7183788B2 (ja) 2016-07-12 2022-12-06 コニカミノルタ株式会社 行動判定装置及び行動判定方法
WO2019031012A1 (fr) * 2017-08-10 2019-02-14 コニカミノルタ株式会社 Dispositif de détection d'action et procédé associé, et système d'aide à la surveillance d'une personne surveillée
BE1025269B1 (fr) * 2017-09-29 2019-01-03 KapCare SA Dispositif et methode pour detecter qu’une personne alitee quitte son lit ou a chute.
WO2019063808A1 (fr) * 2017-09-29 2019-04-04 KapCare SA Dispositif et methode pour detecter qu'une personne alitee quitte son lit ou a chute
US11234617B2 (en) 2017-09-29 2022-02-01 KapCare SA Device and method for detecting if a bedridden person leaves his or her bed or has fallen
AT523655A4 (de) * 2020-05-05 2021-10-15 Opus Novo Gmbh Beleuchtungsmodul
AT523655B1 (de) * 2020-05-05 2021-10-15 Opus Novo Gmbh Beleuchtungsmodul
CN111568437A (zh) * 2020-06-01 2020-08-25 浙江大学 一种非接触式离床实时监测方法
CN111568437B (zh) * 2020-06-01 2021-07-09 浙江大学 一种非接触式离床实时监测方法

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