JP2016123588A - Apparatus and method for acquiring body information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique for quantitatively evaluating a change or difference in a body shape.SOLUTION: A body information acquisition apparatus: acquires first body shape data obtained by measuring a body of an object person, and representing a three-dimensional shape of a profile of the body including at least a trunk part, and second body shape data representing a three-dimensional shape of a profile of a reference body to be compared with the body of the object person; sets a first local area to the three-dimensional shape of the body of the object person on the basis of the first body shape data, and sets a second local area corresponding to the first local area, to the three-dimensional shape of the reference body on the basis of the second body shape data; calculates an index value related to the body shape of the first local area on the basis of the first body shape data and calculates an index value related to the body shape of the second local area on the basis of the second body shape data; and acquires a difference between the index value of the first local area and the index value of the second local area as body information of the object person.SELECTED DRAWING: Figure 9

Description

  The present invention relates to a technique for acquiring information related to the outer shape of a human body.

  People working on diets and training are very interested in the daily changes in their bodies. This is to realize the effects of prescription and exercise, motivate them to continue, and feed back to the amount of meals / exercises and their implementation plans as needed. As a product for general consumers used for such a purpose, a weight scale, a body fat scale, a body composition monitor and the like are well known. For example, some body fat scales of Patent Document 1 have a function of measuring and recording values of body weight, body fat percentage, and BMI and presenting the state of changes to the user.

  However, conventional products are limited to measuring internal information such as weight and body fat percentage, or simply measuring and recording the circumference of the abdomen. There was no product with an approach that quantitatively evaluated changes, body shape, etc. Therefore, by looking at the figure reflected in the mirror and knowing the perimeter by numerical values, body shapes such as “the stomach circumference has become thinner”, “sagging has started to decrease”, “the chest has become thicker” The only way to perceive change was sensory.

  Patent Document 2 proposes an apparatus that extracts the contour of a subject from an image photographed by a digital camera and compares it with an ideal body contour of the same age. However, this method can recognize the rough difference between its own body shape and ideal body shape, but it is difficult to evaluate locally and quantitatively, for example, how thin the waist is compared to a week ago. It is.

JP 2002-177223 A JP-A-6-254077

  The present invention has been made in view of the above circumstances, and an object thereof is to provide a technique for quantitatively evaluating changes or differences in body shape.

  In order to achieve the above object, the present invention adopts the following configuration.

The physical information acquisition apparatus according to the present invention includes first body shape data representing a three-dimensional shape of a body shape including at least a torso part obtained by measuring a body of a subject, and the body of the subject. A second body shape data representing the three-dimensional shape of the outer shape of the reference body to be compared; a body shape acquisition unit that acquires the three-dimensional shape of the subject person based on the first body shape data; Corresponding region setting for setting a first local region and setting a second local region corresponding to the first local region for the three-dimensional shape of the reference body based on the second body shape data And an index value related to the body shape in the first local region based on the first body shape data and the body shape in the second local region based on the second body shape data Indicator value Calculated, characterized by having a a body information acquisition unit that acquires a difference between the index value of the said indicative value of the first local region second local region as the body information of the subject.

  According to the present invention, the three-dimensional shape of the subject's body and the reference body can be calculated and compared in units of local regions using body shape data, so that changes or differences in body shape can be accurately and quantitatively determined. It becomes possible to evaluate automatically.

  The corresponding region setting unit sets a plurality of first local regions for the three-dimensional shape of the subject's body, and each of the plurality of first local regions for the three-dimensional shape of the reference body It is preferable to set a plurality of second local regions corresponding to. In this way, by comparing the three-dimensional shape of the subject's body and the reference body individually in a plurality of local areas, for example, the abdomen became thinner and the chest plate thickened, especially the side belly was less It is possible to accurately evaluate local changes (increase / decrease) in body shape as if the hips are lifted.

  A reference axis calculation unit that calculates a first reference axis that passes through the inside of the body and extends along the height direction for each of the first body shape data and the second body shape data; and the corresponding region setting unit May be configured to associate a point on the first local region with a corresponding point that is a point on the second local region corresponding to the point, with the first reference axis as a reference. In this way, the first reference axis is calculated based on the body shape data, and the body shapes are associated with each other based on the first reference axis. It is possible to compare the two shapes with the same standard. The first reference axis can also be regarded as an axis corresponding to the center of the trunk.

  The first body shape data and the second body shape data are data including three-dimensional coordinates of a plurality of points constituting the three-dimensional shape of the body, and the reference axis calculation unit is configured to store the first body shape data. Using the first principal component axis obtained by principal component analysis of the three-dimensional coordinates of a plurality of points included in the shape data as the first reference axis of the first body shape data, the second body shape data The first principal component axis obtained by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the second body shape may be used as the first reference axis of the second body shape data. A general human body has a shape that extends the longest in the height direction. Therefore, the axis | shaft along the height direction of the said body shape can be easily calculated | required by the method of calculating | requiring a 1st main component axis | shaft from the point group which comprises a body shape.

  The corresponding region setting unit is configured such that the position in the first reference axis direction and the orientation around the first reference axis are both equal to a point on the three-dimensional shape of the subject's body. The upper point may be the corresponding point. By this method, the corresponding point between the two body shapes can be easily determined using the first reference axis corresponding to the center of the trunk as a reference.

  The body information acquisition unit calculates a distance from the first reference axis to the first local region as an index value of the first local region, and from the first reference axis to the second local region. The distance may be calculated as an index value for the second local region. By using such an index value, it is possible to calculate how much thickness (width) the body has in the front, back, left, and right with reference to the center of the trunk (first reference axis). It is possible to quantitatively evaluate the degree of protrusion to the side, the degree of protrusion of the side of the stomach, and the thickness and width of the bust / waist / hip.

The first body shape data and the second body shape data include a first reference axis that passes through the inside of the body and extends along the height direction, and a second reference axis that is orthogonal to the first reference axis and extends along the shoulder width direction. A reference axis calculation unit for calculating each of the points, and the corresponding region setting unit includes a point on the first local region based on the first reference axis and the second reference axis, and the point It is good to associate with the corresponding point which is a point on the said 2nd local area | region corresponding to. As described above, the first reference axis and the second reference axis are calculated based on the body shape data, and the body shapes are associated with each other based on the first reference axis and the second reference axis. It is possible to correct the deviation due to the difference in the position, orientation and posture of the two and compare the shapes of the two according to the same standard.

  The first body shape data and the second body shape data are data including three-dimensional coordinates of a plurality of points constituting the three-dimensional shape of the body, and the reference axis calculation unit is configured to store the first body shape data. The first principal component axis and the second principal component axis obtained by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the shape data are respectively the first reference axis and the first body shape data. The first principal component axis and the second principal component axis obtained by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the second body shape data are used as the second reference axis. The first reference axis and the second reference axis of body shape data may be used. A general human body extends the longest in the height direction and has a flat shape in the shoulder width direction. Therefore, the axis along the height direction and the axis along the shoulder width direction of the body shape can be easily obtained by a method of obtaining two orthogonal principal component axes from the point group constituting the body shape.

  The corresponding region setting unit is configured such that the position in the first reference axis direction and the position in the second reference axis direction are both equal to a point on the three-dimensional shape of the subject's body. The upper point may be the corresponding point. By this method, the corresponding points between the two body shapes can be easily determined with reference to the reference plane stretched by the first reference axis and the second reference axis.

  The body information acquisition unit calculates a distance from a reference plane stretched by the first reference axis and the second reference axis to the first local area as an index value of the first local area, and the reference plane The distance from the second local region to the second local region may be calculated as an index value of the second local region. By using such an index value, it is possible to calculate how much the body has in the front-rear direction with reference to the reference plane passing through the center of the trunk, for example, the degree of protrusion to the front of the abdomen, The thickness of the bust, waist and hips can be quantitatively evaluated.

  The physical information acquisition unit calculates the area of the first local region as an index value of the first local region, and calculates the area of the second local region as an index value of the second local region. Good. By using such an index value, for example, it is possible to quantitatively evaluate the degree of fat or muscle of each part of the body, the thickness / thinness of the waist, and the like.

  The body information acquisition unit calculates a volume of a three-dimensional figure at least surrounded by the first local region and a cross section passing through the outline of the first local region as an index value of the first local region, The volume of the solid figure surrounded at least by the second local region and the cross section passing through the outline of the second local region may be calculated as the index value of the second local region. By using such an index value, for example, it is possible to quantitatively evaluate the degree of fat or muscle of each part of the body, the thickness / thinness of the waist, and the like.

  The second body shape data may be data obtained by measuring the subject's body at a time different from the first body shape data. By comparing the body shapes of the same subject at different times, it is possible to easily grasp the secular change of the body shape and confirm the effects of dieting and training. The second body shape data may be data obtained by measuring a body of a person different from the subject or data representing a three-dimensional shape of an ideal body shape. In this case, by grasping the difference from the other person's body shape and the ideal body shape, grasp the characteristics of your own body shape (good / bad points, parts with different shapes, large / small parts, etc.) can do.

It is good to further have an information output part which outputs the subject's body information to a display device with the solid figure showing the three-dimensional shape of the subject's body. By viewing such a display, the user (subject) can accurately and quantitatively understand the features related to the external shape of his / her body, which can be used for health management and beauty.

  The information output unit includes a portion of the first local region of a three-dimensional figure representing a three-dimensional shape of the subject's body, an index value of the first local region, and an index value of the second local region. It is good to display with the color or brightness | luminance according to the magnitude | size of a difference. With this display, the user (subject) can intuitively and visually grasp the differences and changes between their body and the reference body, that is, the increased and decreased parts as color differences and brightness differences. can do.

  The present invention can be understood as a physical information acquisition device having at least a part of the above-described configuration or function. The present invention also provides a physical information acquisition method including at least a part of the above processing, a program for causing a computer to execute such a method, or a computer-readable recording such a program non-temporarily. It can also be regarded as a recording medium. Each of the above configurations and processes can be combined with each other to constitute the present invention as long as there is no technical contradiction.

  According to the present invention, it is possible to quantitatively evaluate changes or differences in body shape.

The block diagram which shows the system configuration | structure of a physical information acquisition apparatus. The figure which shows an example of body shape data. The figure which shows an example of the 1st reference axis and 2nd reference axis which are decided by a body shape. The figure which shows an example of the matching method between two body shapes. The figure which shows an example of the local area | region matched between two body shapes. The figure which shows the modification of the size and shape of a local region. The flowchart of a physical information acquisition process. The figure which shows an example of an index value. The figure which shows an example of a physical information display screen. The figure which shows an example of the table for displaying the difference in a shape by the difference in a color or a brightness | luminance.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

<Configuration of physical information acquisition device>
FIG. 1 is a block diagram illustrating an example of a system configuration of a physical information acquisition apparatus 1 according to an embodiment of the present invention. As shown in FIG. 1, the body information acquisition device 1 has functions such as a body shape acquisition unit 10, a reference axis calculation unit 11, a corresponding region setting unit 12, a body information acquisition unit 13, and an information output unit 14. .

  The body shape acquisition unit 10 has a function of acquiring body shape data representing the three-dimensional shape of the body.

As the body shape data, data in any format may be used as long as it can represent the three-dimensional shape of the outer shape of the human body. For example, it may be polygon data in which information on a plurality of polygons (such as vertex coordinates and normal vectors of polygons) constituting the body outer surface is described, or the coordinates of a plurality of points on the body outer surface are It may be point cloud data described. In this embodiment, as shown in FIG. 2, the origin is on the floor, and Z
Using a three-dimensional coordinate system with the axis (+ forward), the X axis (+ on the right) in the left-right direction, and the Y axis (+ on the top) in the up-down direction, multiple points on the body outline The body shape data consisting of point cloud data describing the three-dimensional coordinates (XYZ coordinates) of is used.

  The body shape acquisition unit 10 may directly acquire body shape data from a measuring device that measures the three-dimensional shape of the subject's body, or the body shape from a storage device or a server on a network (for example, a cloud server or network storage). Shape data may be acquired.

  As a measuring device, for example, an active triangulation type non-contact three-dimensional scanner can be preferably used. The active triangulation method is to project a predetermined pattern light from the projector onto the surface of the measurement target (human body), photograph the pattern on the measurement target surface with the camera, and use the obtained image for the projector, camera, and measurement target. This is a method for calculating the three-dimensional shape of the surface to be measured by estimating the positional relationship between points on the surface. There are a spatial encoding method and a temporal encoding method depending on the pattern light projection method. Either method may be used, or a combination of the two may be used. When measuring the external shape of the body, the shape of the body surface may be measured in the naked state, or the measurement should be performed while wearing clothing such as underwear (preferably thin clothing that fits the body). Also good.

  The body shape data acquired by the body shape acquisition unit 10 may be whole body data or partial body data. In the present embodiment, since the three-dimensional shape data of the trunk part (trunk part) is used, it is only necessary to include at least the trunk part data. For example, data of only the torso part, data of only the upper body, or data including part or all of the upper limbs and lower limbs may be used.

  As will be described later, the body information acquisition apparatus 1 of the present embodiment is characterized by a function of comparing two body shapes and quantitatively evaluating changes and differences in body shapes. Therefore, the body shape acquisition unit 10 includes body shape data (referred to as first body shape data) of the subject's body and body shape data (second body shape) of the reference body that is compared with the subject's body. 2 types of data) are read. For example, data of the same subject measured at a different time from the first body shape data can be used as the reference body data that is the comparison target. By comparing the body shapes of the same subject at different times, it is possible to easily grasp the secular change of the body shape and confirm the effects of dieting and training. The reference body data may be data obtained by measuring the body of a subject different from the subject or data representing a three-dimensional ideal body shape. In this case, by grasping the difference from the other person's body shape and the ideal body shape, grasp the characteristics of your own body shape (good / bad points, parts with different shapes, large / small parts, etc.) can do.

  By the way, when two body shape data different in measurement time and subject are given, it is not simple to compare the two shapes. Because it is difficult to make the relative position of the measurement device and the body and the posture at the time of measurement the same every time, it is inevitable that there will be some deviation in the position and orientation in the 3D coordinate system for each body shape data. is there. In addition, since the external shape of the human body is a solid figure consisting of complex and arbitrary curved surfaces, it is necessary to properly determine how to correlate the two body shapes with each other and with which index This is because a meaningful comparison cannot be made unless it is defined. In order to deal with such a problem, the physical information acquisition apparatus 1 of the present embodiment includes a reference axis calculation unit 11 and a corresponding region setting unit 12.

The reference axis calculation unit 11 has a function of analyzing body shape data and calculating an axis unique to the body shape represented by the body shape data. The axis unique to the body shape means an axis uniquely determined with respect to the body shape (the three-dimensional shape of the outer shape of the body). Here, as shown in FIG. 3, the axis passing through the inside of the body and extending along the height direction. 1 reference axis and second through the body and along the shoulder width direction
Consider two of the reference axes. Hereinafter, a plane stretched by the first reference axis and the second reference axis is also referred to as a reference plane.

  It should be noted that the first reference axis and the second reference axis are substantially parallel to the Y axis and the X axis of the three-dimensional coordinate system, respectively, but they are essentially different axes. Since the first reference axis and the second reference axis are determined by the body shape, the position and direction of the axis change depending on the position, orientation, posture, shape, etc. of the body, but the Y axis and the X axis are measuring devices. Therefore, it is determined regardless of the condition of the subject.

  The reference axis calculation unit 11 calculates the first reference axis and the second reference axis of the subject's body from the first body shape data, and the first reference axis and the first reference axis of the reference body from the second body shape data. 2 Calculate the reference axis. Then, if the alignment and normalization between the subject's body and the reference body is performed based on the first reference axis or the second reference axis, or the reference plane stretched by them, the body shape data described above It is possible to correct misalignment between positions and orientations and compare the shapes of the two according to the same standard.

  The reference axis calculation unit 11 of the present embodiment calculates the first principal component axis and the second principal component axis by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the body shape data, and the first principal component axis The axis is a first reference axis, and the second principal component axis is a second reference axis. A general human body extends the longest in the height direction and has a flat shape in the shoulder width direction. Therefore, the axis along the height direction and the axis along the shoulder width direction can be easily obtained by the method of obtaining the two principal component axes orthogonal from the point group on the body surface.

  Note that the first reference axis and the second reference axis may be calculated by a method other than the principal component analysis. For example, even if two or more cross-sections obtained by slicing the body shape with a plane parallel to the Y-axis are obtained, a straight line that best fits the center of each cross-section is calculated by the least square method, etc. Good. Alternatively, a straight line connecting the center point of the cross section obtained by slicing the body shape at a predetermined Y position (for example, around the abdomen) and the point on the top of the head may be set as the first reference axis. Alternatively, a cross section obtained by slicing the body shape at a predetermined Y position (for example, around the chest or shoulder) may be fitted to an elliptic model or a rectangular model, and the long axis direction may be set as the second reference axis. In addition, any method can be preferably used as long as it is a method for calculating the first reference axis and the second reference axis based on the body shape data.

  The corresponding region setting unit 12 includes a region between the three-dimensional shape of the subject's body represented by the first body shape data and the three-dimensional shape of the reference body represented by the second body shape data. It has a function to perform association. Hereinafter, a local region on the three-dimensional shape of the subject's body is referred to as a first local region, and a local region on the three-dimensional shape of the reference body is referred to as a second local region. The association between the first local area and the second local area is performed by one or more points on the first local area (for example, points, vertices, center points, etc. on the contour line of the local area) and the second local area This is performed by associating one or a plurality of points on the local region.

  Here, as a method of associating a point on the three-dimensional shape of the subject's body (also referred to as a point of interest) with a point on the three-dimensional shape of the reference body (also referred to as a corresponding point), a position relative to the first reference axis is used. There is a method of associating based on the orientation (FIG. 4A) and a method of associating based on the positions relative to the first reference axis and the second reference axis (FIG. 4B). Hereinafter, the first reference axis, the second reference axis, and the third axis orthogonal to the two are referred to as a Y ′ axis, an X ′ axis, and a Z ′ axis, respectively. The X′Y′Z ′ coordinate system can be said to be a corrected coordinate system in which the position, orientation, inclination, etc. of the body shape are corrected. The calculation of the correspondence between the attention point and the corresponding point is simple when performed under this corrected coordinate system. Note that the origin of the X′Y′Z ′ coordinate system may be set at the intersection of the Y ′ axis and the floor, or may be set at the middle point in the height direction, the head vertex, or the like.

  FIG. 4A shows an example of a method for associating a point of interest with a corresponding point based on the position and orientation relative to the Y ′ axis. FIG. 4A shows the same three-dimensional shape of the reference body as the contour 40 obtained by slicing the three-dimensional shape of the subject's body on the X′Z ′ plane at a certain Y ′ position (position in the Y ′ axis direction). The contour 41 sliced on the X′Z ′ plane at the Y ′ position is shown aligned with respect to the Y ′ axis. In this method, the corresponding region setting unit 12 sets a point 43 on the contour 41 that has the same Y ′ position and the same azimuth θ around the Y ′ axis to the attention point 42 on the contour 40 of the subject's body. The corresponding point 43 is selected. The azimuth θ around the Y ′ axis is, for example, a clockwise angle with the Z ′ axis direction being 0 degrees.

  FIG. 4B shows an example of a method for associating the attention point with the corresponding point based on the positions with respect to the Y ′ axis and the X ′ axis. The contours 40 and 41 are the same as those in FIG. In this method, the corresponding area setting unit 12 sets a point 43 on the contour 41 with the same Y ′ position and the same X ′ position as the corresponding point 43 on the target point 42 on the contour 40 of the subject. Choose to.

  FIG. 5 shows the first local region 50 in the three-dimensional shape of the subject's body and the second local region 51 in the three-dimensional shape of the reference body, which are associated by the method of FIG. It is an example. Each local area 50 and 51 is a rectangular area, and the four vertices of the first local area 50 and the four vertices of the second local area 51 are associated with each other by the method shown in FIG. Yes. By thus associating regions between the subject's body and the reference body, it becomes easy to compare the body shapes of the two.

  Note that the size and shape of the local region can be arbitrarily selected, and may be set as appropriate depending on the granularity (resolution) between the two body shapes. The minimum size of the local area is the size of one pixel, and the maximum size is the size surrounding the body. FIG. 6 schematically shows a modification of the size and shape of the local region. FIG. 6A shows an example in which the front surface of the body is divided into six local regions, and FIG. 6B shows an example in which the front surface of the body is divided into small-sized local regions.

  The body information acquisition unit 13 calculates the index value related to the body shape in each local area based on the body shape data, and calculates the difference between the index value of the first local area and the index value of the second local area It has a function to do. The physical information acquisition unit 13 outputs the difference between the index value of the first local region and the index value of the second local region as physical information. As the body information, any information may be acquired as long as it is an index related to the external shape of the subject's body. It is particularly preferable if it is useful information for health care and beauty. The information output unit 14 has a function of outputting information such as the three-dimensional shape of the subject's body based on the body shape data and the acquired body information to the display device. Details of the physical information acquisition unit 13 and the information output unit 14 will be described later.

  The physical information acquisition device 1 is a computer having a CPU (Central Processing Unit), a RAM (Random Access Memory), an auxiliary storage device (for example, a flash memory, a hard disk), an input device (for example, a mouse, a touch panel), a display device, and the like. Can be configured. Each function described above is realized by loading a program stored in the auxiliary storage device into the RAM and executing it by the CPU. Examples of this type of computer include a personal computer, a smartphone, a tablet terminal, a mobile phone, and a game machine. Part or all of the above-described functions may be realized by an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), or the like, or may be processed by another computer (for example, a cloud server).

<Operation of body information acquisition device>
With reference to the flowchart of FIG. 7, the flow of the physical information acquisition process by the physical information acquisition apparatus 1 is demonstrated.

  First, the body shape acquisition unit 10 acquires the first body shape data of the subject (step S70). The body shape acquisition unit 10 acquires second body shape data of the reference body (step S71).

  Next, the reference axis calculation unit 11 calculates a first reference axis (Y ′ axis) and a second reference axis (X ′ axis) for each of the first body shape data and the second body shape data. (Step S72). If the position and orientation deviation between the first body shape data and the second body shape data can be ignored, the process of step S72 is omitted, and the Y axis and the X axis are respectively set to the first reference. The shaft and the second reference axis may be used as they are.

  Next, the corresponding region setting unit 12 sets the first local region for the three-dimensional shape of the subject's body based on the first body shape data, and also sets the reference body based on the second body shape data. A second local area corresponding to the first local area is set for the three-dimensional shape (step S73). The association between the first local region and the second local region is performed by the method shown in FIG. 4A or 4B described above. Although the number of local regions may be one or plural, in the present embodiment, the entire three-dimensional shape of the body is divided into a plurality of local regions, and all the local regions are associated.

  Next, the body information acquisition unit 13 calculates the index value of each first local region based on the first body shape data, and calculates the index value of each second local region based on the second body shape data. Calculate (step S74). Then, the body information acquisition unit 13 calculates a difference between the index value of the first local region and the index value of the second local region corresponding to the first local region (step S75).

  Hereinafter, an example of index values that can be acquired by the apparatus according to the present embodiment will be described.

(1) Distance from First Reference Axis As shown in FIG. 8A, a distance L1 from the first reference axis (Y ′ axis) to the local region 80, that is, from the local region 80 to the first reference axis (Y The length L1 of the perpendicular line drawn on the “axis” is used as an index value. When the local region 80 has a certain extent, an index value may be calculated for a representative point (for example, a central point) in the local region 80, or a plurality of points (for example, the local region 80 of the local region 80) may be calculated. An index value may be calculated for each of the contour vertices, and an average thereof may be obtained.

(2) Distance from Reference Surface As shown in FIG. 8B, the distance L2 from the reference surface (X′Y ′ plane) to the local region 80, that is, the local surface 80 to the reference surface (X′Y ′ plane). The length L2 of the perpendicular line drawn below is used as an index value. When the local region 80 has a certain extent, an index value may be calculated for a representative point (for example, a central point) in the local region 80, or a plurality of points (for example, the local region 80 of the local region 80) may be calculated. An index value may be calculated for each of the contour vertices, and an average thereof may be obtained.

(3) Area of Local Region As shown in FIG. 8C, the area S of the local region 80 is used as an index value. For example, the total area of a plurality of polygons constituting the local region 80 may be calculated.

(4) Volume of a solid figure surrounded by a local area and a cross section passing through the contour of the local area FIG. 8 (d) shows a case where the body shape is divided by a radial cross section around the first reference axis (Y ′ axis). Indicates the volume of a solid figure (block). FIG. 8E shows the volume of the solid figure (block) when the body shape is divided by a cross section perpendicular to the reference plane (X′Y ′ plane). Any method may be used for dividing the block.

  Finally, the information output unit 14 generates a physical information display screen and displays it on the display device (step S76). FIG. 9 shows an example of the physical information display screen. In the screen example of FIG. 9, an image obtained by mapping body information (index value difference) of each local region is displayed on a three-dimensional figure representing the three-dimensional shape of the subject's body based on the first body shape data. ing. For example, according to the table of FIG. 10A or FIG. 10B, the pixels in each local region are drawn with a color or brightness corresponding to the magnitude of the difference between the index values.

<Advantages of this embodiment>
According to the body information acquisition device of the present embodiment described above, the body shape data can be used to calculate and compare the three-dimensional shape of the subject's body and the reference body in units of local regions. Changes or differences can be accurately and quantitatively evaluated. In addition, by comparing the three-dimensional shape of the subject's body and the reference body individually in a plurality of local regions, for example, the belly circumference has become thinner and the chest plate has become thicker, especially the side belly's luxury has decreased, The local change (increase / decrease) in the body shape can be accurately evaluated as if the hip has been lifted.

  In addition, since changes and differences in body shape are displayed as in the screen example of FIG. 9, the user (subject) can accurately and quantitatively understand the features related to the external shape of his / her body. Can be useful. In addition, the user (subject) intuitively and visually grasps changes and differences in his / her body shape compared to the reference body, that is, the increased and decreased parts as color differences and luminance differences. be able to.

<Other embodiments>
The configuration of the above-described embodiment is merely a specific example of the present invention, and is not intended to limit the scope of the present invention. The present invention can take various specific configurations without departing from the technical idea thereof.

  The region association method, reference axis calculation method, index calculation method, physical information display screen display method, and the like in the above embodiment are merely examples, and other methods may be used. For example, the display format of the three-dimensional shape of the body may be selected from point cloud, polygon, shading, texture mapping, or the like, or a projection image or a cross-sectional image of the three-dimensional shape of the body may be displayed. Further, the shapes of the subject's body and the reference body may be displayed side by side, or three or more shapes may be compared or displayed.

1: body information acquisition device, 10: body shape acquisition unit, 11: reference axis calculation unit, 12: corresponding region setting unit, 13: body information acquisition unit, 14: information output unit

Claims (17)

First body shape data representing the three-dimensional shape of the body shape including at least the torso portion obtained by measuring the body of the subject, and 3 of the shape of the reference body to be compared with the body of the subject A body shape acquisition unit for acquiring second body shape data representing a dimensional shape;
A first local region is set for the three-dimensional shape of the subject's body based on the first body shape data, and the three-dimensional shape of the reference body is set based on the second body shape data. A corresponding area setting unit for setting a second local area corresponding to the first local area;
An index value related to the body shape in the first local region is calculated based on the first body shape data, and an index value related to the body shape in the second local region is calculated based on the second body shape data. A physical information acquisition unit that calculates and acquires the difference between the index value of the first local region and the index value of the second local region as the physical information of the subject;
A physical information acquisition device characterized by comprising: The corresponding region setting unit sets a plurality of first local regions for the three-dimensional shape of the subject's body, and each of the plurality of first local regions for the three-dimensional shape of the reference body The physical information acquisition apparatus according to claim 1, wherein a plurality of second local areas corresponding to the second local area are set. A reference axis calculation unit that calculates a first reference axis that passes through the inside of the body and extends along the height direction for each of the first body shape data and the second body shape data;
The corresponding region setting unit associates a point on the first local region with a corresponding point that is a point on the second local region corresponding to the point with respect to the first reference axis. The body information acquisition apparatus according to claim 1 or 2, wherein The first body shape data and the second body shape data are data including three-dimensional coordinates of a plurality of points constituting the three-dimensional shape of the body,
The reference axis calculation unit calculates a first principal component axis obtained by performing principal component analysis on three-dimensional coordinates of a plurality of points included in the first body shape data, and the first body shape data. The first reference axis of the second body shape data is set as a first reference axis, and the first principal component axis obtained by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the second body shape data. The body information acquiring apparatus according to claim 3, wherein the body information acquiring apparatus is an axis. The corresponding region setting unit is configured such that the position in the first reference axis direction and the orientation around the first reference axis are both equal to a point on the three-dimensional shape of the subject's body. The physical information acquisition apparatus according to claim 3 or 4, wherein an upper point is set as the corresponding point. The body information acquisition unit calculates a distance from the first reference axis to the first local region as an index value of the first local region, and from the first reference axis to the second local region. The physical information acquisition apparatus according to claim 3, wherein a distance is calculated as an index value of the second local region. The first body shape data and the second body shape data include a first reference axis that passes through the inside of the body and extends along the height direction, and a second reference axis that is orthogonal to the first reference axis and extends along the shoulder width direction. A reference axis calculation unit for calculating each of
The corresponding region setting unit includes a point on the first local region and a point on the second local region corresponding to the point with respect to the first reference axis and the second reference axis. The physical information acquisition apparatus according to claim 1, wherein the physical information is associated with a corresponding point. The first body shape data and the second body shape data are data including three-dimensional coordinates of a plurality of points constituting the three-dimensional shape of the body,
The reference axis calculation unit uses a first principal component axis and a second principal component axis obtained by performing principal component analysis on three-dimensional coordinates of a plurality of points included in the first body shape data, respectively. The first principal component axis obtained by performing principal component analysis on the three-dimensional coordinates of a plurality of points included in the second body shape data, using the first reference axis and the second reference axis of the body shape data of The body information acquiring apparatus according to claim 7, wherein the first principal axis and the second principal axis are the first reference axis and the second reference axis of the second body shape data, respectively. The corresponding region setting unit is configured such that the position in the first reference axis direction and the position in the second reference axis direction are both equal to a point on the three-dimensional shape of the subject's body. The body information acquiring apparatus according to claim 7, wherein an upper point is set as the corresponding point. The body information acquisition unit calculates a distance from a reference plane stretched by the first reference axis and the second reference axis to the first local area as an index value of the first local area, and the reference plane The physical information acquisition apparatus according to claim 7, wherein a distance from the second local region to the second local region is calculated as an index value of the second local region. The body information acquisition unit calculates the area of the first local region as an index value of the first local region, and calculates the area of the second local region as an index value of the second local region. The physical information acquisition apparatus according to claim 1, wherein the physical information acquisition apparatus is a physical information acquisition apparatus. The body information acquisition unit calculates a volume of a three-dimensional figure at least surrounded by the first local region and a cross section passing through the outline of the first local region as an index value of the first local region, The volume of a solid figure at least surrounded by a second local region and a cross section passing through the outline of the second local region is calculated as an index value of the second local region. The physical information acquisition apparatus of any one of these. The second body shape data is obtained by measuring the subject's body at a different time from the first body shape data, or by measuring the body of a person different from the subject. The physical information acquisition apparatus according to claim 1, wherein the physical information acquisition apparatus is obtained data or data representing a three-dimensional shape of an ideal body. The information output part which outputs further the physical information of the said subject to a display apparatus with the solid figure showing the three-dimensional shape of the said subject's body is further described in any one of Claims 1-13 characterized by the above-mentioned. Body information acquisition device. The information output unit includes a portion of the first local region of a three-dimensional figure representing a three-dimensional shape of the subject's body, an index value of the first local region, and an index value of the second local region. The physical information acquisition apparatus according to claim 14, wherein display is performed with a color or luminance corresponding to the magnitude of the difference. Computer
First body shape data representing the three-dimensional shape of the body shape including at least the torso portion obtained by measuring the body of the subject, and 3 of the shape of the reference body to be compared with the body of the subject Obtaining second body shape data representing a dimensional shape;
A first local region is set for the three-dimensional shape of the subject's body based on the first body shape data, and the three-dimensional shape of the reference body is set based on the second body shape data. Setting a second local region corresponding to the first local region;
An index value related to the body shape in the first local region is calculated based on the first body shape data, and an index value related to the body shape in the second local region is calculated based on the second body shape data. Calculating the difference between the index value of the first local region and the index value of the second local region as physical information of the subject;
The body information acquisition method characterized by performing.   A program for causing a computer to execute each step of the physical information acquisition method according to claim 16.

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