JP2006271893A - Kinetic motion measuring apparatus, kinetic motion measuring method and kinetic motion measuring program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a kinetic motion measuring apparatus capable of calculating the quantity of kinetic motion by content of various kinetic motion. <P>SOLUTION: A posture determining means 105 determines the posture from gravity acceleration information measured by an acceleration sensor 101. A motion direction detecting means 109 detects the direction of the motion from the motion acceleration information measured by the acceleration sensor 101. A motion strength detecting means 109 detects the strength of the motion from the motion acceleration information. A motion content determining means 113 determines the content of the motion from the posture, the direction of the motion and the strength of the motion. A motion continuance measuring means 115 measures the time and frequency of continuance of the content of the motion from the motion acceleration information. A motion quantity conversion means 117 converts the quantity of the motion from the retrieved consumed calorie information per unit time or per unit frequency and the time of the motion. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a motion measurement device, a motion measurement method, and a motion measurement program for measuring a momentum.

  Conventionally, in order to measure calories consumed by exercise, a database of energy metabolism rate for each exercise content and basal metabolism for each age, weight, and gender is created in advance, and energy metabolism rate, basal metabolism and acceleration sensor A method of calculating calorie consumption from the number of steps, exercise time, etc. measured using the above is common. However, such a measuring method has a problem that calories burned can be calculated only for an exercise in which the energy metabolism rate is registered in advance.

  As a solution to such a problem, a technique of calorie consumption measuring method and calorie consumption measuring device for measuring calorie consumption by measuring heart rate has been disclosed (see Patent Document 1). This was derived by calculating the calorie consumption from the heart rate by calculating the calorie consumption as a reference while performing two types of exercises with known energy metabolism rates in advance and by measuring the heart rate. The calorie consumption is calculated from the heart rate during exercise by using the calculation formula. As a result, calories burned can be calculated for exercises that are not registered in the database in advance.

JP 2002-336219 A

  However, from the viewpoint of diet and health promotion, it is necessary to consider not only the calorie consumption but also the content and load of exercise. The technique described in Patent Document 1 calculates calories burned using the heart rate, so calories burned by the entire exercise, that is, the amount of exercise can be measured, but exercise that burns body fat (aerobic exercise) There is a problem that the exercise contents cannot be distinguished, such as an exercise that increases muscle strength (anaerobic exercise), and therefore the amount of exercise of various exercise contents cannot be measured.

  The present invention has been made in view of the above, and an object of the present invention is to provide an exercise measuring apparatus that can accurately determine various exercise contents and calculate the amount of exercise of each exercise content.

  In order to solve the above-described problems and achieve the object, the present invention provides an acceleration sensor that measures gravity acceleration information of the subject in a stationary state of the subject and motion acceleration information generated along with the motion of the subject. Posture determining means for determining a posture indicating a body direction from the gravitational acceleration information measured by the acceleration sensor, and an operation for detecting the motion direction of the subject from the motion acceleration information measured by the acceleration sensor Detected by direction detection means, motion intensity detection means for detecting the motion intensity of the subject from the motion acceleration information measured by the acceleration sensor, and the posture determined by the posture determination means and the motion direction detection means The type of the action using the action direction detected and the action intensity detected by the action intensity detecting means Exercise content determining means for determining the exercise content to be shown, exercise continuation measuring means for measuring the duration or number of times of the exercise content from the motion acceleration information measured by the acceleration sensor, the exercise content, and the exercise content In the momentum conversion storage means for storing a plurality of different motion intensities, and calorie consumption information indicating the calorie consumption per unit time or unit number for each motion intensity, and the momentum conversion storage means, The calorie consumption information associated with the exercise content determined by the exercise content determination means and the motion intensity detected by the motion intensity detection means is searched, and the searched calorie consumption information and the exercise searched. The amount of exercise using the duration or the number of continuations measured by the continuation measuring means A motion amount conversion unit for converting, characterized in that it comprises a.

  According to the present invention, the posture determining means determines the posture indicating the direction of the body from the gravitational acceleration information measured by the acceleration sensor, and the motion direction detecting means is determined from the motion acceleration information measured by the acceleration sensor. The motion direction is detected, the motion strength detecting means detects the motion strength of the subject from the motion acceleration information measured by the acceleration sensor, and the motion content determining means is the posture and motion direction detecting means determined by the posture determining means. The motion content indicating the type of motion is determined using the motion direction detected by the motion strength and the motion strength detected by the motion strength detection means, and the motion continuation measuring means moves from the motion acceleration information measured by the acceleration sensor. Measure the duration or number of continuations of the content, the momentum conversion means, the exercise content and a plurality of different motion intensity about the exercise content, Calorie consumption information indicating calorie consumption per unit time or number of times for the exercise intensity is stored in association with the exercise amount conversion storage means, which is detected by the exercise content determination means and detected by the exercise intensity detection means. By searching the calorie consumption information associated with the motion intensity, and converting the amount of exercise using the searched calorie consumption information and the duration or number of continuations measured by the exercise continuation measuring means, the exerciser Since the exercise amount of various exercise contents performed by can be calculated by one exercise measurement device, the exercise amount of the exercise that the exerciser wants to measure can be easily measured. In addition, there is an effect that it is possible to accurately determine the exercise content based on the posture, motion direction, and motion intensity in a stationary state.

  Exemplary embodiments of a motion measurement device, a motion measurement method, and a motion measurement program according to the present invention will be explained below in detail with reference to the accompanying drawings.

(First embodiment)
A first embodiment will be described with reference to the accompanying drawings. The motion measuring apparatus according to the first embodiment detects an exerciser's posture, motion direction, and motion intensity from the gravitational acceleration and motion acceleration measured by the acceleration sensor, determines the motion content, the motion content and motion intensity, The amount of exercise is measured from the exercise time or the number of operations.

  First, a configuration example of a motion measurement device to which the present invention is applied will be described. FIG. 1 is a block diagram illustrating the configuration of the motion measurement apparatus according to the first embodiment.

  The motion measurement apparatus 100 according to the present embodiment includes an acceleration sensor 101, a data input unit 103, a posture determination unit 105, a posture storage unit 107, a motion direction / motion strength detection unit 109, regularity / continuity. Determination unit 111, exercise content determination unit 113, exercise continuation measurement unit 115, exercise amount conversion unit 117, motion interval measurement unit 119, fatigue level determination unit 121, muscle vibration detection unit 123, and target frequency setting unit 125, the target number storage unit 127, the operation interval setting unit 129, the operation interval storage unit 131, the operation interval comparison unit 133, the operation intensity setting unit 135, the operation intensity storage unit 137, and the operation intensity comparison unit 139. An output unit 141, a posture threshold value database 2000, an exercise content threshold value database 3000, a classification database 4000, an action interval database 5000, And a quantity conversion database 6000 Metropolitan.

  The acceleration sensor 101 measures the gravitational acceleration of the athlete and the motion acceleration of the athlete. Here, the gravitational acceleration is the gravitational acceleration at the wearing site when the athlete is stationary. In addition, the motion acceleration is an acceleration accompanying the exercise of the exerciser. Specifically, the acceleration sensor 101 measures acceleration in the X-axis, Y-axis, and Z-axis directions.

  FIG. 2 is an explanatory diagram illustrating an example of an axial direction of acceleration measured by the acceleration sensor. When the athlete is facing the front (A), the vertical direction is the Y axis, and the downward direction is the Y axis (+) direction. The left-right direction is the X axis, and the right direction is the X-axis (+) direction. When the athlete is facing sideways (B), the front-rear direction is the Z-axis and the forward direction is the Z-axis (+) direction. As indicated by 20 in FIG. 2, when the exerciser stands still in a standing state, a gravitational acceleration of 1 G is applied in the Y-axis (+) direction from the wearing site.

  FIG. 3 is an explanatory diagram showing the axial direction when the exerciser is lying down. When the exerciser stands still in a prone state, a gravitational acceleration of 1G is applied in the Z-axis (+) direction from the attachment site of the exerciser as indicated by 30 in FIG. FIG. 4 is an explanatory diagram showing the axial direction when the exerciser is on his back. When the exerciser stands still on his / her back, as shown at 40 in FIG. 4, a gravitational acceleration of 1 G is applied in the Z-axis (−) direction from the attachment site of the exerciser.

  The motion measuring apparatus 100 including the acceleration sensor 101 is attached to a trunk such as an exercising person's waist. FIG. 5A is an explanatory diagram of a mounting example of the motion measurement device. The motion measuring device 100 is mounted integrally with a belt buckle, as indicated by 50 in FIG. Other examples include those attached to the belt in a clip manner as shown at 51 in FIG. 5-2, and those attached to the pants in a clip manner as shown at 52 in FIG. 5-3. The motion measuring device 100 is attached to the lower back and captures the motion of the exerciser's body by the acceleration sensor 101. The motion measurement apparatus 100 may be attached to the head, neck, chest, etc. other than the waist. In this embodiment, the acceleration sensor 101 is used to measure the exercise state and posture of the entire body of the exerciser, and is thus attached to the trunk rather than the peripheral part such as the wrist.

  In addition, the motion measuring device 100 is not limited to the case where all the components are integrated into a case as shown in the example of FIG. 5-1, and the acceleration sensor 101 and other parts are separated as separate cases. Also good. In that case, the acceleration sensor 101 needs to be attached to the trunk, but other parts may be attached to any part. In addition, portions other than the acceleration sensor 101 may not be attached to the trunk, and in such a case, the acceleration measured by the acceleration sensor 101 is transmitted to the data processing portion via a communication control unit (not shown). .

  The data input unit 103 receives input of gravitational acceleration and motion acceleration measured by the acceleration sensor 101. FIG. 6 is an explanatory diagram illustrating an example of waveforms of gravitational acceleration and motion acceleration measured by the acceleration sensor. Each process to be described later is performed using gravity acceleration data and motion acceleration data as shown in FIG.

  Further, FIG. 7 is an explanatory diagram showing an example of input of motion acceleration measured by the acceleration sensor for each motion content. Thus, the value of motion acceleration differs for each exercise content. Therefore, it is possible to determine the exercise content using the motion acceleration. The exercise content is determined by an attitude determination unit 105, an operation direction / intensity detection unit 109, and an exercise content determination unit 113, which will be described later, based on the motion acceleration input by the exerciser exercising.

  The posture determination unit 105 determines whether the exerciser is in a stationary state or an operating state based on the gravitational acceleration input from the data input unit 103. In the case of the stationary state, the posture determination unit 105 is stored in a posture threshold value database 2000 described later. The posture of the exerciser is determined from the axial direction and the gravitational acceleration. Here, the posture is the direction of the body of the exerciser. In this embodiment, as shown in FIGS. 2 to 4 described above, three types of postures of standing, prone, and supine are determined. Note that postures other than the three types of postures (eg, handstand) determined in the present embodiment can also be determined by setting thresholds for determination in the posture threshold value database 2000 described later.

  The posture storage unit 107 stores the posture determined by the posture determination unit 105. Specifically, “standing”, “prone”, and “back” are stored.

  The motion direction / motion intensity detection unit 109 detects the motion direction and the motion intensity in the motion state based on the motion acceleration input from the data input unit 103. Further, the motion direction / motion intensity detection unit 109 constitutes a motion direction detection means and a motion intensity detection means in the present invention.

  The exercise content determination unit 113 determines the content of exercise performed by the exerciser based on the posture of the exerciser determined by the posture determination unit 105 and the motion direction and motion intensity detected by the motion direction / motion intensity detection unit 109. It is. FIG. 8 is an explanatory diagram illustrating an example of exercise content determined for each posture. In this embodiment, as shown in FIG. 8, when the posture is standing, “exercise” is “walking”, “running”, “squat”, and when the posture is prone, “push-up”, When the “back muscles” and the posture are on the back, it is determined as “abdominal muscles”. Furthermore, the exercise content determination unit 113 determines whether the determined exercise content is an aerobic exercise or an anaerobic exercise according to the aerobic exercise or anaerobic exercise stored in the classification database 4000 described later. To do.

  The momentum conversion unit 117 includes the exercise content determined by the exercise content determination unit 113, the motion intensity detected by the motion direction / motion intensity detection unit 109, and the duration or the number of motions measured by the motion continuation measurement unit 115, which will be described later. The calorie consumption per unit time or number of times stored in the exercise amount conversion database 6000 is converted into the amount of exercise, that is, the calorie consumed by the exercise.

  The motion interval measurement unit 119 measures time (motion interval) between motions based on motion acceleration input from the data input unit 103. For example, in the case of the abdominal muscles, the time between the time when the maximum value is obtained in the axial direction where the motion intensity is present and the time when the next maximum value is obtained is measured.

  The regularity / continuity determination unit 111 calculates the motion interval from the motion acceleration input by the data input unit 103 and compares it with a motion interval range stored in a determination database 5000 described later, thereby determining the motion content determination unit 113. It is determined whether or not there is regularity and continuity as the exercise content determined by the above, and further the exercise content is determined.

  The exercise continuation measuring unit 115 measures the time during which the exercise is continued when the exercise content is an aerobic exercise by the operation acceleration input from the data input unit 103, and continues when it is an anaerobic exercise. This is to measure the number of operations performed. Specifically, the number of movements is measured by counting the number of movements from the maximum value, minimum value, threshold crossing of motion acceleration in a predetermined axial direction, or the number of appearances of similarity peaks. Here, the threshold value cross is to detect a time point when the motion acceleration exceeds a predetermined threshold value. The peak of similarity is the maximum value when the similarity between the measured motion acceleration and the waveform indicating one motion is calculated while shifting on the time axis, and the calculated similarity value is graphed. is there.

  The fatigue level determination unit 121 determines an exerciser's fatigue level based on the motion interval measured by the motion interval measurement unit 119. Specifically, the motion interval immediately after the start of the motion measured by the motion interval measurement unit 119 is compared with the current motion interval, and the current motion interval is a fixed multiple (for example, 2) Times), it is determined to be fatigued when it becomes slower. The fatigue level determination unit 121 determines the level of fatigue of the exerciser based on muscle vibration detected by a muscle vibration detection unit 123 described later.

  The muscle vibration detection unit 123 detects the vibration of the exerciser's muscle from the motion acceleration input from the data input unit 103. Specifically, by measuring changes in the measurement waveform due to tremors that occur in muscles due to fatigue (high-frequency components resulting from muscle tremors are superimposed on normal measurement waveforms: see 70 for motion acceleration of push-ups in FIG. 7). The degree of fatigue is determined. Moreover, you may determine with fatigue when the appearance ratio of the high frequency component considered to be caused by fatigue becomes a certain value or more. Note that the frequency threshold for determining fatigue may be set in advance by the exerciser, and the determination condition may be switched according to the exerciser, the exercise content, the exercise purpose, or the like.

  The target number setting unit 125 receives an input of the target number for each exercise content. The target number storage unit 127 stores target number information that defines the target number for each exercise content input by the target number setting unit 125. FIG. 9 is an explanatory diagram showing an example of the data configuration of the target number information stored in the target number storage unit. The target number storage unit 127 stores the exercise content, the target number of times, and the set number in association with each other.

  The motion interval setting unit 129 receives an input of the motion interval range for each exercise content. Here, the motion interval range is a range of one motion interval allowed by the exerciser. The motion interval storage unit 131 stores motion interval information that defines the motion interval range for each exercise content input by the motion interval setting unit 129. FIG. 10 is an explanatory diagram illustrating an example of a data configuration of the motion interval information stored in the motion interval storage unit. The motion interval storage unit 129 stores the exercise content and the motion interval range in association with each other.

  The operation interval comparison unit 133 compares the operation interval measured by the operation interval measurement unit 119 with the operation interval stored in the operation interval storage unit 131, and generates a message corresponding to the comparison result.

  The motion intensity setting unit 135 receives an input of the motion intensity range for each exercise content. Here, the motion intensity range is a range of motion intensity measured by the motion allowed by the exerciser. The motion strength storage unit 137 stores motion strength range information that defines the motion strength range for each exercise content input by the motion strength setting unit 135. FIG. 11 is an explanatory diagram illustrating an example of the data of the motion intensity range information stored in the motion intensity storage unit. The motion intensity storage unit 137 stores the exercise content and the motion intensity range in association with each other.

  The motion strength comparison unit 139 compares the motion strength detected by the motion direction / motion strength detection unit 109 with the motion strength range stored in the motion strength storage unit 137 and generates a message corresponding to the comparison result. is there.

  The output unit 141 is a message corresponding to the amount of exercise, the number of movements or the exercise time converted by the momentum conversion unit 117, the message corresponding to the fatigue level determined by the fatigue level determination unit 121, the message corresponding to the comparison result by the operation interval comparison unit 133, or A message corresponding to the comparison result by the operation intensity comparison unit 139 is output. The output unit 141 may be output by voice, warning sound, vibration, or the like, in addition to displaying as characters on the display screen. The output unit 141 constitutes an exercise amount output unit, an operation interval output unit, and an exercise intensity output unit in the present invention.

  The posture threshold value database 2000 defines threshold values for determining posture. FIG. 12 is an explanatory diagram illustrating an example of a data configuration of the attitude threshold database. The posture threshold database 2000 stores postures, axial directions, and gravitational accelerations in association with each other.

  The exercise content threshold database 3000 defines thresholds for determining exercise content. FIG. 13 is an explanatory diagram illustrating an example of a data configuration of the exercise content threshold database. The exercise content threshold database 3000 stores exercise content, an axial direction, and motion acceleration in association with each other.

  The category database 4000 defines aerobic exercise or anaerobic exercise categories for exercise content. FIG. 14 is an explanatory diagram showing an example of the data configuration of the classification database. The classification database 4000 stores exercise contents and aerobic exercise / anaerobic exercise categories in association with each other.

  The determination database 5000 defines determination conditions for determining regularity / continuity of exercise content. FIG. 15 is an explanatory diagram illustrating an example of a data configuration of the determination database. The determination database 5000 stores exercise contents and movement interval ranges in association with each other.

  The momentum conversion database 6000 defines the momentum converted for each motion intensity. FIGS. 16A and 16B are explanatory diagrams illustrating an example of the data configuration of the exercise amount conversion database. The exercise amount conversion database 6000 shown in FIG. 16-1 stores exercise intensity and calorie consumption per unit time in association with each other, and is used in exercise amount conversion in the case of aerobic exercise. The exercise amount conversion database 6000 shown in FIG. 16-2 stores exercise intensity and calorie consumption per unit number in association with each other, and is used in exercise amount conversion in the case of anaerobic exercise. Here, the classification database 4000 and the momentum conversion database 6000 according to the present embodiment correspond to the momentum conversion storage unit described in the claims. In the classification database 4000, the classification of aerobic exercise / anaerobic exercise is determined from the exercise content, and further, the exercise content, by using the exercise amount conversion database 6000 defined for each category of aerobic exercise and anaerobic exercise, You can search calorie consumption per unit time or number of times using exercise intensity, and convert calorie consumption, that is, amount of exercise, by multiplying calorie consumption per unit time or number of times by the duration or number of times of exercise. can do. That is, in the category database 4000, the exercise content is associated with the category of aerobic exercise / anaerobic exercise, and in the exercise amount conversion database 6000, the category of aerobic exercise / anaerobic exercise, the exercise intensity, , Calorie consumption per unit time or unit number of times is associated. With this configuration, the exercise content, the exercise intensity, and the calorie consumption per unit time or unit number are associated. In addition, you may comprise the division | segmentation database 4000 and the exercise amount conversion database 6000 as one database.

  Next, the motion measurement process by the motion measuring device configured as described above will be described. FIG. 17 shows an acceleration sensor, a data input unit, a posture determination unit, a motion direction / motion intensity detection unit, a regularity / continuity determination unit, an exercise content determination unit, an exercise continuation measurement unit, an exercise amount conversion unit, an operation interval measurement unit, It is a flowchart which shows the exercise | movement measurement procedure which a fatigue degree determination part, a muscular vibration detection part, a target frequency setting part, and an output part perform.

  First, the acceleration sensor 101 measures gravity acceleration and motion acceleration. The data input unit 103 receives the gravitational acceleration and the motion acceleration measured by the acceleration sensor 101 (step S17001). The posture determination unit 105 determines whether it is in an operating state or a stationary state based on the input acceleration (step S17002). Specifically, as shown in FIG. 6, when the acceleration in each axial direction is within a predetermined threshold, it is determined that the vehicle is stationary, and the acceleration in each axial direction is not within a predetermined threshold. Is determined to be in an operating state.

  If it is determined that the camera is stationary (step S17002: stationary), posture determination processing is performed (step S17003). Details of the posture determination processing will be described later with reference to FIG. The posture determination unit 105 stores the determined posture in the posture storage unit 105 (step S17004), and returns to data measurement by the acceleration sensor.

  If it is determined in step S17002 that the state is the operation state (step S17002: operation state), exercise content determination processing is performed (step S17005). Details of the exercise content determination process will be described later with reference to FIGS. The exercise content determination unit 113 determines whether the exercise performed by the exerciser is an aerobic exercise or an anaerobic exercise from the determined exercise content (step S17006). Specifically, it is determined whether the exercise content determined with reference to the classification database 4000 is an aerobic exercise or an anaerobic exercise.

  If it is determined from the determined exercise content that the exercise performed by the exerciser is anaerobic exercise (step S17006: anaerobic exercise), an anaerobic exercise process is performed (step S17007). Details of the anaerobic exercise process will be described later with reference to FIG. Thereafter, the process returns to data measurement by the acceleration sensor. If it is determined from the determined exercise content that the exercise performed by the exerciser is aerobic exercise (step S17006: aerobic exercise), aerobic exercise processing is performed (step S17008). Details of the aerobic exercise process will be described later with reference to FIG. Thereafter, the process returns to data measurement by the acceleration sensor.

  Next, posture determination processing will be described. FIG. 18 is a flowchart illustrating a posture determination procedure performed by the posture determination unit.

  First, the posture determination unit 105 passes only a signal having a constant acceleration frequency or lower using an LPF (Low-Pass Filter) (step S18001). A moving average process or the like may be used instead of the LPF. Processing such as LPF is not always essential, but when the acceleration sensor 101 is attached to the belt, the abdominal up-and-down movement due to breathing may be detected when lying on its back, so that noise components are removed by performing these processing. be able to.

  The posture determination unit 105 acquires a threshold value used for posture determination from the posture threshold value database 2000 (step S18002). The posture determination unit 105 acquires the average value of the input gravitational acceleration in each axial direction (step S18003). The posture determination unit 105 determines whether or not the average value of the gravitational acceleration is equal to or higher than the standing threshold (step S18004). Specifically, it is determined whether or not the average value of gravitational acceleration in the Y-axis direction is +0.7 G or more.

  When it is determined that the average value of the gravitational acceleration is equal to or greater than the standing threshold (step S18004: Yes), the posture determination unit 105 determines that the posture is “standing” (step S18005). When it is determined that the average value of gravitational acceleration is not equal to or greater than the threshold for standing (step S18004: No), the posture determination unit 105 determines whether the average value of gravitational acceleration is equal to or greater than the threshold for prone (step S18006). . Specifically, it is determined whether or not the average value of gravitational acceleration in the Z-axis direction is +0.7 G or more.

  If it is determined that the average value of the gravitational acceleration is equal to or greater than the threshold value for depression (step S 18006: Yes), the posture determination unit 105 determines that the posture is “depression” (step S 18007). When it is determined that the average value of gravitational acceleration is not equal to or greater than the threshold value for lying down (step S18006: No), the posture determination unit 105 determines whether the average value of gravitational acceleration is equal to or greater than the threshold value for supine (step S18008). . Specifically, it is determined whether the average value of gravitational acceleration in the Z-axis direction is −0.7 G or more.

  If it is determined that the average value of the gravitational acceleration is equal to or greater than the threshold value on the back (step S18008: Yes), the posture determination unit 105 determines that the posture is “backward” (step S18009). When it is determined that the average value of the gravitational acceleration is not equal to or greater than the threshold value on the back (step S18008: No), the posture determination unit 105 determines that the posture is a non-recognition posture (step S18010).

  Next, exercise content determination processing will be described. FIGS. 19A to 19C are flowcharts illustrating an exercise content determination procedure performed by the exercise content determination unit and the motion direction / motion intensity detection unit.

  First, the exercise content determination unit 113 passes only a signal having a certain frequency or higher in the acceleration data using an HPF (High-Pass Filter) (step S19001). By this process, it is possible to process the motion acceleration from which the gravitational acceleration is removed. A threshold value is acquired from the exercise content threshold value database 3000 (step S19002). The exercise content determination unit 113 acquires the posture information determined from the posture storage unit 107 (step S19003). The exercise content determination unit 113 determines whether the determined posture is “standing”, “depressed”, or “facing” (step S19004).

  When it is determined that the determined posture is “standing” (step S19004: standing), the motion direction / motion intensity detection unit 109 detects the maximum value and the minimum value in the Y-axis direction from the motion acceleration (step S19004). S19005). The exercise content determination unit 113 determines whether or not the maximum value in the Y-axis direction is greater than or equal to a threshold value (for example, +0.5 G) (step S19006).

  When it is determined that the maximum value in the Y-axis direction is equal to or greater than the threshold (step S19006: Yes), the exercise content determination unit 113 determines whether the minimum value in the Y-axis direction is equal to or less than the threshold (for example, −0.5G). Is determined (step S19007). If it is determined that the minimum value in the Y-axis direction is equal to or smaller than the threshold value (step S19007: Yes), the exercise content is determined to be “running” (step S19008). Further, regularity / continuity determination processing is performed (step S19209). Details of the processing will be described later.

  Returning to step S19007, if it is determined that the minimum value in the Y-axis direction is not less than the threshold value (step S19007: No), the motion direction / motion intensity detector 109 detects the maximum value in the Z-axis direction from the motion acceleration. (Step S19010). The exercise content determination unit 113 determines whether or not the maximum value in the Z-axis direction is greater than or equal to a threshold value (for example, +0.5 G) (step S19011).

  When it is determined that the maximum value in the Z-axis direction is equal to or greater than the threshold (step S19011: Yes), the exercise content determination unit 113 determines that the exercise content is “squat” (step S19012). Further, regularity / continuity determination processing is performed (step S19013). Details of the processing will be described later.

  Returning to step S19011, if it is determined that the maximum value in the Z-axis direction is not greater than or equal to the threshold (step S19011: No), it is determined that the exercise content is not a recognition target (step S19017). Furthermore, returning to step S19006, if it is determined that the maximum value in the Y-axis direction is not equal to or greater than the threshold value (step S19006: No), the exercise content determination unit 113 determines that the minimum value in the Y-axis direction is a threshold value (for example, − 0.5G) or less is determined (step S19014).

  If it is determined that the minimum value in the Y-axis direction is equal to or less than the threshold value (step S19014: Yes), it is determined that the exercise content is “walking” (step S19015). Further, regularity / continuity determination processing is performed (step S19016). Details of the processing will be described later. Returning to step S19014, if it is determined that the minimum value in the Y-axis direction is not less than or equal to the threshold value (step S19014: No), it is determined that the exercise content is not a recognition target (step S19017).

  Furthermore, returning to step S19004, if it is determined that the determined posture is “backward” (step S19004: supine), the motion direction / motion intensity detection unit 109 determines the maximum value in the Y-axis direction from the motion acceleration. Is detected (step S19018). The exercise content determination unit 113 determines whether or not the maximum value in the Y-axis direction is greater than or equal to a threshold value (for example, +0.5 G) (step S19019).

  If it is determined that the maximum value in the Y-axis direction is equal to or greater than the threshold (step S19019: Yes), the motion direction / motion intensity detection unit 109 detects the maximum value in the Z-axis direction from the motion acceleration (step S19020). . The exercise content determination unit 113 determines whether or not the maximum value in the Z-axis direction is greater than or equal to a threshold value (+1.0 G) (step S19021).

  If it is determined that the maximum value in the Z-axis direction is equal to or greater than the threshold (step S19021: Yes), the exercise content is determined as “abdominal muscles” (step S19022). Furthermore, regularity / continuity determination processing is performed (step S19023). Details of the processing will be described later.

  When it is determined in step S19019 that the maximum value in the Y-axis direction is not greater than or equal to the threshold value (step S19019: No), or when it is determined in step S19021 that the maximum value in the Z-axis direction is not greater than or equal to the threshold value. (Step S19021: No), the exercise content is determined not to be recognized (Step S19024).

  In step S19004, when it is determined that the determined posture is “depression” (step S19004: prone), the motion direction / motion intensity detection unit 109 obtains the maximum value and the minimum value in the Z-axis direction from the motion acceleration. It is detected (step S19025). The exercise content determination unit 113 determines whether or not the displacement between the maximum value and the minimum value in the Z-axis direction is greater than or equal to a threshold value (for example, ± 0.3 G) (step S19026).

  When it is determined that the displacement between the maximum value and the minimum value in the Z-axis direction is greater than or equal to the threshold (step S19026: Yes), the exercise content determination unit 113 determines that the exercise content is “push-up” (step S19027). Furthermore, regularity / continuity determination processing is performed (step S19028). Details of the processing will be described later. If it is determined that the displacement between the maximum value and the minimum value in the Z-axis direction is not greater than or equal to the threshold value (step S19026: No), the exercise content is determined not to be recognized (step S19029).

  Next, the continuity determination process will be described. FIG. 20 is a flowchart showing a continuity determination procedure performed by the regularity / continuity determination unit.

  First, the regularity / continuity determination unit 111 acquires an operation interval range corresponding to the exercise content from the determination database 5000 (step S20001). For example, when the exercise content is determined to be “squat”, “0.5 to 1.5 seconds” is acquired as the motion interval range.

  The regularity / continuity determination unit 111 detects the local maximum value from the motion acceleration (step S20002). Note that a minimum value or a threshold cross may be detected. Further, the maximum value is detected from the motion acceleration in the axial direction with a large fluctuation.

  Next, the regularity / continuity determination unit 111 determines whether or not the time between local maximum values, that is, one operation interval is within the acquired operation interval range (step S20003). When it is determined that the time between the maximum values is within the acquired motion interval range (step S20003: Yes), the regularity / continuity determination unit 111 determines that the exercise is continued (step S20004). When it is determined that the time between the maximum values is not within the acquired operation interval range (step S20003: No), the regularity / continuity determination unit 111 determines whether the time between the maximum values is longer than the operation interval range. Is determined (step S20005).

  When it is determined that the time between the maximum values is longer than the motion interval range (step S20005: Yes), the regularity / continuity determination unit 111 determines that the motion is interrupted or the motion is ended (step S20006). When it is determined that the time between the maximum values is shorter than the operation interval range (step S20005: No), the regularity / continuity determination unit 111 determines that the noise is present (step S20007). Through the above processing, the continuity of the operation can be determined.

  Next, regularity determination processing will be described. FIG. 21 is a flowchart illustrating a regularity determination procedure performed by the regularity / continuity determination unit.

  The regularity / continuity determination unit 111 cuts out the template from the motion acceleration (step S21001). For example, by detecting the motion interval between the maximum values of motion acceleration and cutting out the motion acceleration waveform in a range of 1/2 hour of the motion interval between the maximum values around the maximum value, Can be cut out as a template.

  The regularity / continuity determination unit 111 calculates the similarity between the extracted template and the measured motion acceleration (step S21002). The regularity / continuity determination unit 111 determines whether or not the calculated peak value of similarity exceeds a predetermined threshold (step S21003). When it is determined that the calculated peak value of similarity exceeds a predetermined threshold (step S21003: Yes), the regularity / continuity determination unit 111 determines that the exercise is continued (step S21004). .

  When it is determined that the calculated peak value of the similarity does not exceed a predetermined threshold (step S21003: No), the regularity / continuity determination unit 111 determines that the exercise is interrupted or the exercise has ended ( Step S21005). The regularity of the operation can be determined by the above processing.

  With these continuity and regularity determinations, it is possible to determine whether or not the exercise content determined earlier is being continued, and whether or not the exercise content determined earlier is appropriate. Can be determined.

  As another example, the regularity / continuity determination process described above may be applied to an operation count measurement process in an exercise continuation measurement process described later. Furthermore, when the similarity peak exceeds the threshold value, it is understood that the regularity of the exercise is high. Therefore, it can be seen that the exercise continues stably. On the other hand, when the regularity is low, it can be seen that the regularity of the exercise is low and the exercise is not performed properly. Therefore, the fatigue level may be calculated based on the regularity determination result.

  Next, anaerobic exercise processing will be described. FIG. 22 is a flowchart illustrating an anaerobic exercise processing procedure performed by the exercise amount conversion unit, the motion interval measurement unit, the muscle vibration detection unit, the fatigue level determination unit, the exercise continuation measurement unit, and the output unit.

  First, the number-of-exercises count process is performed (step S22001). Details of the processing will be described later. The exercise amount conversion unit 117 acquires the target number of times for each exercise content from the target number of times storage unit 127 (step S22002). The momentum conversion unit 117 determines whether or not the number of movements is equal to or more than the target number (step S22003). If it is determined that the number of movements is equal to or greater than the target number (step S22003: Yes), exercise intensity determination processing is performed (step S22004).

  The exercise amount conversion unit 117 acquires conversion data from the exercise amount conversion database 6000 (step S22005). Specifically, the calorie consumption per unit number of times is acquired from the motion intensity. The exercise amount conversion unit 117 calculates the calorie consumption consumed by the exercise from the converted data (step S22006). Specifically, the amount of exercise is calculated by multiplying the number of movements by the calorie consumption per unit number of times. As in the case of aerobic exercise, the calorie consumption per unit time may be stored in the exercise amount conversion database 6000, and the exercise amount may be calculated by multiplying the exercise time by the calorie consumption per unit time. The output unit 141 displays the end of exercise and the content of the exercise, the target number of times, the current number of times of exercise, and the calorie consumption (step S22007). FIG. 30 is an explanatory diagram illustrating an example of a display screen at the end of exercise.

  Returning to step S22003, if it is determined that the number of movements is not equal to or greater than the target number (step S22003: No), fatigue level determination processing is performed (step S22008). Details of the processing will be described later. The output unit 141 displays a message corresponding to the exercise content, the target number of times, the number of times of current execution, and the degree of fatigue (step S22009). 31 and 32 are explanatory diagrams illustrating an example of a display screen before the target number of times ends.

  Next, the operation count measurement process will be described. FIG. 23 is a flowchart illustrating a procedure for measuring the number of operations performed by the exercise continuation measurement unit. First, the exercise continuation measurement unit 115 detects a local maximum value from the motion acceleration (step S23001). Instead of the maximum value, a minimum value, a threshold cross, or a similarity peak may be detected. The exercise amount conversion unit 117 counts the number of exercise operations by counting the maximum value (step S23002). As described above, the processing in the regularity / continuity determination unit 109 may be applied to the operation count measurement processing. Further, in the operation count measurement process, one operation interval may be measured, and if the measured operation interval is not within a predetermined operation interval range, a process that does not count as the operation count may be included.

  Next, exercise intensity determination processing will be described. FIG. 24 is a flowchart illustrating an exercise intensity determination processing procedure performed by the exercise amount conversion unit. First, the momentum conversion unit 117 detects a maximum value from the motion acceleration (step S24001). The momentum conversion unit 117 calculates the average value of the maximum values, and sets the average value of the maximum values as the exercise intensity (step S24002).

  Next, the fatigue level determination process will be described. FIG. 25 is a flowchart illustrating a fatigue level determination processing procedure performed by the motion interval measurement unit and the fatigue level determination unit. First, the motion interval measurement unit 119 detects a maximum value from motion acceleration (step S25001). Instead of the maximum value, a minimum value, a threshold cross, or a similarity peak may be detected. The operation interval measurement unit 119 measures the time between local maximum values, that is, one operation interval (step S25002). Specifically, the maximum value before the maximum value detected this time is detected, and the time between the maximum value detected this time and the maximum value before that is measured.

  The fatigue level determination unit 121 compares the motion interval at the start of the exercise with the current motion interval, and determines whether or not a certain multiple or more (step S25003). For example, it is determined whether or not the current motion interval is at least twice the motion interval at the start of exercise. If it is determined that the current motion interval is equal to or greater than a certain multiple of the motion interval at the start of exercise (step S25003: Yes), the fatigue level determination unit 121 determines that the fatigue state is present (step S25004). ).

  If it is determined that the current motion interval is not greater than or equal to a certain multiple of the motion interval at the start of exercise (step S25003: No), the fatigue level determination unit 121 determines that the state is not fatigued (step S25005). . The fatigue level determination unit 121 generates a message corresponding to the fatigue level (step S 25006). For example, as shown in FIG. 31, in the case where push-ups are performed, if it is determined that the target number is 30 times 3 sets and the current number is 25 times 3 sets and it is not in a fatigue state, “5 more times! Generate a message that encourages continuation of exercise, such as “Do your best!”. If it is determined that the patient is in a fatigued state, as shown in FIG. 32, a message that prompts the user to interrupt the exercise, such as “Let's take a break because we are very tired”, is generated. The message may correspond to not only the degree of fatigue but also the target number of times and the current number of operations.

  Furthermore, another process of the fatigue level determination process will be described. FIG. 26 is a flowchart illustrating a fatigue level determination processing procedure performed by the muscle vibration detection unit and the fatigue level determination unit. First, the muscle vibration detection unit 123 detects muscle vibration from the motion acceleration (step S26001). Specifically, the determination is made based on whether or not muscle vibrations appear at a certain rate or higher. Here, muscle vibration is a high-frequency component that is considered to be caused by fatigue. The fatigue level determination unit 121 determines whether muscle vibration has been detected (step S26002).

  When it is determined that muscle vibration has been detected (step S26002: Yes), the fatigue level determination unit 121 determines that the patient is in a fatigued state (step S26003). When it is determined that muscle vibration is not detected (step S26002: No), the fatigue level determination unit 121 determines that it is not in a fatigued state (step S26004). The fatigue level determination unit 121 generates a message corresponding to the fatigue level (step S26005). In general, it is known that when the degree of fatigue increases, the muscles vibrate. Therefore, the fatigue level can be accurately calculated by using the detection of the high-frequency component in this way.

  Next, aerobic exercise processing will be described. FIG. 27 is a flowchart illustrating the aerobic exercise processing procedure performed by the exercise amount conversion unit, the motion interval measurement unit, the exercise continuation measurement unit, and the output unit.

  First, exercise intensity determination processing is performed (step S27001). Since this is the same as the exercise intensity determination process described above, the description thereof will be omitted with reference to FIG. 24 and the description thereof. The movement continuation measuring unit 119 measures the movement time from the movement acceleration (step S27002).

  The exercise amount conversion unit 117 acquires conversion data from the exercise amount conversion database 6000 (step S27003). Specifically, the calorie consumption per unit time is acquired from the motion intensity. The exercise amount conversion unit 117 calculates the calorie consumption consumed by the exercise from the converted data (step S27004). Specifically, the amount of exercise is calculated by multiplying the exercise time by the calorie consumption per unit time. As in the case of anaerobic exercise, the calorie consumption per unit step may be stored in the exercise amount conversion database 6000, and the exercise amount may be calculated by multiplying the step count by the calorie consumption per unit step. The output unit 141 displays the exercise content, the target number of steps, the current number of steps, and the calorie consumption (step S27005).

  In this way, the exercise content is determined using the acceleration measured by the acceleration sensor, and further, it is determined whether the exercise is an aerobic exercise or an anaerobic exercise. Therefore, it is possible to easily measure the amount of exercise by distinguishing between exercise contents such as exercise for burning body fat (aerobic exercise) and exercise for increasing muscle strength (anoxic exercise). Along with this, it is possible to measure the momentum of exercise combining aerobic and anaerobic exercise, and measure the momentum of anaerobic exercise that can improve muscle strength, that is, the amount of exercise that increases basal metabolism Therefore, diet and body fat can be burned effectively. In addition, since it can be used for the exercise of elderly people, the amount of exercise to increase muscle strength can be measured, so it is possible to maintain a good posture, prevent falling, and prevent bedridden due to falling and broken bones. Can do.

  Next, the operation interval comparison process will be described. FIG. 28 is a flowchart illustrating the operation interval comparison processing procedure performed by the operation interval comparison unit, the operation interval measurement unit, and the output unit.

  First, the motion interval comparison unit 133 acquires the motion interval range of the exercise content currently being performed from the motion interval storage unit 131 (step S28001). For example, when the content of the exercise currently being performed is “squat”, “1.0 to 1.5” seconds are acquired as the motion interval range (see FIG. 10). The motion interval measurement unit 119 detects the maximum value from the motion acceleration (step S28002). Note that a minimum value, a threshold cross, or a peak of similarity may be detected instead of the maximum value.

  The operation interval measurement unit 119 measures the time between the maximum values (operation interval) (step S28003). The motion interval comparison unit 133 determines whether or not the measured motion interval is within the motion interval range (step S28004). When it is determined that the measured motion interval is not within the motion interval range (step S28004: No), the motion interval comparison unit 133 generates a message indicating that the motion interval (pitch) is too early or too late (step S28004). S28005). The output unit 141 outputs the generated message (step S28006). If it is determined in step S28004 that the measured operation interval is within the operation interval range (step S28004: YES), the process is exited.

  Thus, since it can be determined whether or not actual exercise is performed within a predetermined motion interval range, exercise can be performed at the exercise level desired by the exerciser.

  Next, the operation interval comparison process will be described. FIG. 29 is a flowchart illustrating the operation interval comparison processing procedure performed by the operation intensity comparison unit, the operation intensity measurement unit, and the output unit.

  First, the motion intensity comparison unit 135 acquires the motion intensity range of the exercise content currently being performed from the motion strength storage unit 137 (step S29001). For example, when the content of the exercise currently being performed is “walking”, “1.0 to 1.2” G is acquired as the motion intensity range. The motion direction / motion intensity detector 109 detects the motion intensity from the motion acceleration (step S29002). Note that the motion intensity may be a motion intensity in a certain axial direction, for example, the Y-axis direction, or may be a combination of the components by detecting the motion intensity in each axial direction.

  The motion strength comparison unit 135 determines whether or not the detected motion strength is within the motion strength range (step S29003). When it is determined that the measured motion interval is not within the motion interval range (step S29003: No), the motion strength comparison unit 135 generates a message indicating that the motion strength is weak (step S29004). The output unit 141 outputs the generated message (step S29005). If it is determined in step S29003 that the detected motion intensity is within the motion intensity range (step S29003: Yes), the process is exited.

  Thus, since it can be determined whether or not an actual exercise is performed within a predetermined motion intensity range, the exercise can be performed at an exercise level desired by the exerciser.

(Second Embodiment)
A second embodiment will be described with reference to the accompanying drawings. The motion measuring apparatus according to the second embodiment detects the posture and motion direction, motion strength and motion strength fluctuation amount of the animal from the acceleration measured by the acceleration sensor, determines the motion content, and from the motion content and the motion time. It measures momentum.

  A configuration example of a motion measurement device to which the present invention is applied will be described. FIG. 33 is a block diagram illustrating a configuration of the motion measurement apparatus according to the second embodiment. The motion measurement apparatus 3300 according to the present embodiment includes an acceleration sensor 101, a data input unit 103, a posture determination unit 3305, a posture storage unit 107, a motion direction / motion strength detection unit 109, and a motion content determination unit 3313. The motion intensity fluctuation detection unit 3343, the exercise time measurement unit 115, the exercise amount conversion unit 3317, the communication degree calculation unit 3345, the output unit 141, the posture threshold value database 2001, the exercise amount conversion database 6001, and the exercise amount database 7000 It is composed of Here, the configurations and functions of the acceleration sensor 101, the data input unit 103, the posture storage unit 107, the movement direction / motion intensity detection unit 109, the exercise measurement unit 115, and the output unit 141 are the same as those in the first embodiment. Since there is, description is abbreviate | omitted.

  FIG. 34 is an explanatory diagram showing an example of the axial direction of acceleration measured by the acceleration sensor attached to the animal. The axial direction of the acceleration sensor 101 is the same as when worn on a human, and the acceleration sensor 101 is worn on a trunk such as the neck or chest. FIG. 35 is an explanatory diagram showing an example of input from the acceleration sensor in a stationary state.

  The posture determination unit 3305 determines whether the animal is in a stationary state or an operating state based on the acceleration input from the data input unit 103. If the animal is in a stationary state, the axial direction stored in the posture threshold value database 2001 described below. And the posture of the animal is judged from the minimum gravitational acceleration and the maximum gravitational acceleration. Here, the posture is the direction of the animal's body, and in this embodiment, three types of postures are determined: quadruped standing (sitting), lying down, and lying on the back.

  The motion content determination unit 3313 includes the posture of the animal determined by the posture determination unit 3305, the motion direction and motion intensity detected by the motion direction / motion strength detection unit 109, and the motion detected by the motion strength fluctuation detection unit 3343 described later. The content of the exercise performed by the animal is determined based on the intensity variation. In the present embodiment, “running”, “play”, and “jump” are determined as exercise contents. The motion intensity fluctuation detection unit 3343 detects motion intensity fluctuation from the motion intensity detected by the motion direction / motion intensity detection unit 109.

  The exercise amount conversion unit 3317 calculates the exercise amount from the exercise content determined by the exercise content determination unit 3313, the duration measured by the exercise continuation measurement unit 115 and the calorie consumption per unit time stored in the exercise amount conversion database 6001 described later. The calorie consumption consumed by exercise is converted.

  The communication degree calculation unit 3345 calculates the degree of communication between the owner and the animal from the exercise content determined by the exercise content determination unit 3313 and the exercise time measured by the exercise continuation measurement unit 115.

  The posture threshold value database 2001 defines threshold values for determining posture. FIG. 36 is an explanatory diagram of an example of the data configuration of the attitude threshold database. The posture threshold value database 2001 stores a posture, an axial direction, a minimum gravitational acceleration, and a maximum gravitational acceleration in association with each other. The data in the posture threshold database shown in FIG. 36 is obtained by calculating the gravitational acceleration when the animal takes each posture from the angles with respect to the X-axis, Y-axis, and Z-axis directions. FIG. 37 is an explanatory diagram showing angles formed with the respective axial directions for each posture.

  The exercise amount conversion database 6001 defines the exercise amount converted for each exercise content. FIG. 38 is an explanatory diagram showing an example of the data configuration of the exercise amount conversion database. The exercise amount conversion database 6001 stores exercise contents and calorie consumption per unit time in association with each other.

  The exercise amount database 7000 stores the results of exercise performed by animals. FIG. 39 is an explanatory diagram showing an example of the data configuration of the exercise amount database. The exercise amount database 7000 stores time, exercise content, exercise continuation, and exercise amount in association with each other.

  Next, the motion measurement process by the motion measuring device configured as described above will be described. 40 shows an acceleration sensor, a data input unit, a posture determination unit, a motion direction / motion intensity detection unit, a motion intensity fluctuation detection unit, an exercise content determination unit, an exercise continuation measurement unit, an exercise amount conversion unit, a communication degree calculation unit, and an output unit. It is a flowchart which shows the exercise | movement measurement procedure which performs.

  First, the acceleration sensor 101 measures gravity acceleration and motion acceleration. The data input unit 103 receives input of gravitational acceleration and motion acceleration measured by the acceleration sensor 101 (step S40001). The posture determination unit 3305 determines whether it is in an operating state or a stationary state based on the input acceleration (step S40002).

  If it is determined that the camera is stationary (step S40002: stationary), posture determination processing is performed (step S40003). Details of the posture determination processing will be described later with reference to FIG. The posture determination unit 3305 stores the determined posture in the posture storage unit 107 (step S40004), and returns to data measurement by the acceleration sensor 101.

  If it is determined in step S40002 that it is in an operating state (step S40002: operating state), exercise content determination processing is performed (step S40005). The movement continuation measuring unit 115 measures the movement time from the movement acceleration (step S40006). The exercise amount conversion unit 3317 calculates the exercise amount from the exercise content and the exercise time, and stores it in the exercise amount database 7000 (step S40007).

  The communication level calculation unit 3345 calculates the communication level from the exercise content and the exercise time (step S40008). For example, it is possible to calculate the degree of communication by summing up the exercise time when the exercise content is “play” and taking 5 minutes as one unit. The exercise amount conversion unit 3317 acquires the exercise amount from the exercise amount database 7000, and calculates the total exercise amount (step S40009). The output unit 141 displays the calculated exercise amount and communication level (step S40010). FIG. 45 is an explanatory diagram showing an example of the exercise amount display screen. Thereafter, the process returns to data measurement by the acceleration sensor. Thus, by calculating the degree of communication between the owner and the animal using the exercise content and the amount of exercise, the stress of the animal can be grasped, and therefore, it can be used for relieving the stress of the animal.

  Next, posture determination processing will be described. FIG. 41 is a flowchart illustrating a posture determination procedure performed by the posture determination unit.

  First, the posture determination unit 3305 passes only a signal having a certain frequency of acceleration or less using the LPF (step S41001). Note that LPF is not always essential, but in the case of animals, vibrations from muscles or the like may be constantly oscillating depending on the type, so it is better to perform processing with LPF. The posture determination unit 3305 acquires a threshold value used for posture determination from the posture threshold value database 2001 (step S41002). The posture determination unit 3305 acquires the local maximum value and the local minimum value of the input gravity acceleration in each axis direction (step S41003). The posture determination unit 3305 determines whether or not the local maximum value and the local minimum value of the gravitational acceleration are within the threshold for standing on four legs (sitting) (step S41004). Specifically, the local maximum and minimum values of the gravitational acceleration indicate whether or not the posture of FIG. 36 is within the range from the minimum gravitational acceleration to the maximum gravitational acceleration when the posture of FIG. Judging.

  When it is determined that the local maximum and minimum values of gravitational acceleration are within the threshold of the quadruped standing (sitting) (step S41004: Yes), the posture determining unit 3305 changes the posture to “four leg standing. (Sit down) "(step S41005). When it is determined that the local maximum and minimum values of the gravitational acceleration are not within the threshold of the quadruped standing (sitting) (step S41004: No), the posture determination unit 3305 displays the gravitational acceleration in each axial direction. It is determined whether or not the maximum value and the minimum value are within the threshold value for depression (step S41006). Specifically, it is determined whether or not the local maximum and minimum values of gravitational acceleration are in the range of the maximum gravitational acceleration from the minimum gravitational acceleration in each axial direction in which the posture of FIG.

  If it is determined that the local maximum and minimum values of gravitational acceleration are within the prone threshold (step S41006: Yes), the posture determining unit 3305 determines that the posture is “depressed” (step S41006). S41007). When it is determined that the local maximum and local minimum values of gravity acceleration are not within the threshold for prone position (step S41006: No), the posture determination unit 3305 determines that the local maximum and minimum values of gravitational acceleration in each axial direction are It is determined whether it is within the supine threshold (step S41008). Specifically, it is determined whether or not the local maximum and minimum values of gravitational acceleration are within the range of the maximum gravitational acceleration from the minimum gravitational acceleration in each axial direction in which the posture of FIG.

  When it is determined that the local maximum and minimum values of the gravitational acceleration are within the threshold for supine (step S41008: Yes), the posture determination unit 3305 determines that the posture is “backward” (step S41008). S41009). If it is determined that the local maximum and minimum values of gravitational acceleration are not within the supine threshold (step S41008: No), the posture determination unit 3305 determines that the posture is “determination impossible” (step S41008). S41010).

  Next, exercise content determination processing will be described. FIGS. 42A and 42B are flowcharts illustrating an exercise content determination procedure performed by the exercise content determination unit and the motion direction / motion intensity detection unit. In particular, a determination is made regarding the exercise content “jump”.

  First, the exercise content determination unit 3313 passes only a signal having a certain frequency or higher using the HPF (step S42001). The motion direction / motion intensity detection unit 109 detects the local maximum value in the Y-axis direction from the motion acceleration (step S42002). The motion intensity fluctuation detection unit 3343 determines whether or not the absolute value of the difference from the previously detected maximum value with respect to the Y-axis direction is 1 G or more (step S42003).

  When it is determined that the absolute value of the difference from the previously detected maximum value in the Y-axis direction is 1 G or more (step S42003: Yes), the exercise content determination unit 3313 sets the Y-axis flag to ON ( Step S42004). The exercise content determination unit 3313 stores the current time as the time when the Y-axis flag is set to ON (step S42005).

  If it is determined in step S42003 that the absolute value of the difference from the previously detected maximum value in the Y-axis direction is not 1 G or more (step S42003: No), the exercise content determination unit 3313 indicates that the current time is the Y-axis flag. It is determined whether or not one second or more has elapsed from the time when ON is set in (step S42006). If it is determined that the current time has passed one second or more from the time when the Y-axis flag is set to ON (step S42006: Yes), the exercise content determination unit 3313 sets the Y-axis flag to OFF (step S42007). . If it is determined that the current time has not passed one second or more from the time when the Y-axis flag is set to ON (step S42006: No), the process skips to step S42008.

  The motion direction / motion intensity detector 109 detects the local maximum value in the Z-axis direction from the motion acceleration database (step S42008). The exercise content determination unit 3313 determines whether or not the absolute value of the difference from the previously detected maximum value is 0.5 G or more (step S42009). When it is determined that the absolute value of the difference from the previously detected maximum value is 0.5 G or more (step S42009: Yes), the exercise content determination unit 3313 determines whether or not the Z-axis flag 1 is ON. Judgment is made (step S42010).

  If it is determined that the Z-axis flag 1 is ON (step S42010: YES), the exercise content determination unit 3313 determines whether it is within one second from the time when the Z-axis flag 1 is set ON (step S42010). S42011). If it is determined that it is within one second from the time when the Z-axis flag 1 is set to ON (step S42011: Yes), the exercise content determination unit 3313 sets the Z-axis flag 2 to ON (step S42012).

  If it is determined in step S42009 that the absolute value of the difference from the previously detected maximum value is not 0.5 G or more (step S42009: No), or in step S42011, the Z-axis flag 1 is set to ON. If it is determined that it is not within one second from the time (step S42011: No), the exercise content determination unit 3313 sets the Z-axis flag 1 and the Z-axis flag 2 to OFF (step S42013).

  If it is determined in step S42010 that the Z-axis flag 1 is not ON (step S42010: No), the exercise content determination unit 3313 determines whether the absolute value of the difference from the previously detected maximum is 1G or more. (Step S42014). If it is determined that the absolute value of the difference from the previously detected maximum value is 1 G or more (step S42014: Yes), the exercise content determination unit 3313 sets the Z-axis flag 1 to ON (step S42015).

  The exercise content determination unit 3313 stores the current time as the time when the Z-axis flag 1 is set to ON (step S42016). If it is determined in step S42014 that the absolute value of the difference from the previously detected maximum value is 1 G or more (step S42014: No), the process jumps to step S42017 without performing the process.

  The exercise content determination unit 3313 determines whether the Y axis flag is ON and the Z axis flag 2 is ON (step S42017). If it is determined that the Y-axis flag is ON and the Z-axis flag 2 is ON (step S42017: Yes), the exercise content determination unit 3313 determines that the exercise content is “jump” (step S42018). If it is determined that the Y-axis flag is ON and the Z-axis flag 2 is not ON (step S42017: No), the exercise content determination unit 3313 determines whether the Y-axis flag is ON or the Z-axis flag 1 is ON. Judgment is made (step S42019).

  If it is determined that the Y-axis flag is ON or the Z-axis flag 1 is ON (step S42019: No), a walking determination process is performed (step S42020). Details of the processing will be described later. If it is determined that the Y-axis flag is not ON or the Z-axis flag 1 is not ON (step S42019: Yes), play determination processing is performed (step S42021). Details of the processing will be described later.

  Furthermore, the exercise content determination process will be described. FIG. 43 is a flowchart showing an exercise content determination procedure performed by the exercise content determination unit and the motion direction / motion intensity detection unit. In particular, the determination of “running” of the exercise content is performed.

  First, the exercise content determination unit 3313 acquires the posture information stored from the posture storage unit 107 (step S43001). The exercise content determination unit 3313 determines whether or not the posture is a quadruped standing (step S43002). When it is determined that the posture is standing on four legs (step S43002: Yes), the motion direction / motion intensity detection unit 109 detects the time from when the maximum value is generated to when the minimum value is generated based on the motion acceleration ( Step S43003).

  The exercise content determination unit 3313 determines whether or not the time from when the maximum value is generated to when the minimum value is generated is within one second from the motion acceleration (step S43004). If it is determined that the time until the minimum value is generated after the maximum value is generated from the motion acceleration is within one second (step S43004: Yes), the exercise content determination unit 3313 determines that the exercise content is “running” ( Step S43005). When it is determined in step S43002 that the posture is not a quadruped standing (step S43002: No), or when it is determined that the time until the minimum value is generated after the maximum value is generated is not within 1 second. (Step S43004: No), play determination processing is performed (Step S43006). Details of the process will be described later.

  Next, exercise content determination processing will be described. FIG. 44 is a flowchart showing an exercise content determination procedure performed by the exercise content determination unit, the motion direction / motion intensity detection unit, and the motion intensity fluctuation detection unit. In particular, it determines the “play” of the exercise content.

  First, the motion direction / motion intensity detector 3309 detects the local maximum value and the local minimum value in the X-axis, Y-axis, and Z-axis directions (step S44001). The motion intensity fluctuation detection unit 3343 determines whether or not the absolute value of the difference between the maximum value and the minimum value in each axis direction is 0.5 G or more (step S44002). When it is determined that the absolute value of the difference between the local maximum value and the local minimum value in each axial direction is 0.5G or more (step S44002: Yes), the exercise content determination unit 3313 It is determined whether it is within 3 seconds from the change (step S44003).

  When it is determined that it is within 3 seconds from the previous change of 0.5 G or more (step S44003: Yes), the exercise content determination unit 3313 determines that the exercise content is “play” (step S44004). If it is determined that it is not within 3 seconds from the previous change of 0.5 G or more (step S44003: No), the process is exited. In this case, since it is a single sudden movement of the animal, the exercise content is not determined.

  In step S44002, when it is determined that the absolute value of the difference between the maximum value and the minimum value in each axis direction is not 0.5 G or more (step S44002: No), the exercise content determination unit 3313 determines the maximum from the motion acceleration. An attitude change within 3 seconds from the time of value detection is detected (step S44005). If it is determined that there is a posture change within 3 seconds after the maximum value is detected (step S44006: Yes), the exercise content determination unit 3313 determines that the exercise content is “play” (step S44007). When it is determined that there is no change in posture within 3 seconds after the maximum value is detected (step S44006: No), the exercise content determination unit 3313 determines that the exercise content is “rest” (step S44008).

  In this way, by recording the amount of exercise performed by the animal and calculating the total amount of exercise from individual momentum, it is possible to grasp the total amount of exercise performed by the animal and the amount of exercise that is lacking, thus eliminating the lack of exercise of the animal It can be used for.

  In particular, cats have increased fatty liver due to obesity in recent years. However, cats do not have the habit of taking a walk unlike dogs, so it is not sufficient to calculate the amount of exercise simply by measuring the number of steps with a pedometer, etc. Jumping and playing that account for a large percentage of the overall behavior ) Etc., it is necessary to calculate the momentum due to the instantaneous type of exercise. Therefore, as in this embodiment, the total amount of exercise performed by the animal and the deficiency are calculated by calculating the amount of exercise by determining the exercise content using the posture, motion direction, motion intensity, and time variation of the motion intensity. Since the amount of exercise can be grasped, obesity can be prevented by making sufficient exercise that can be used to eliminate unexpected exercise.

(Third embodiment)
A third embodiment will be described with reference to the accompanying drawings. In addition to the function and configuration of the second embodiment, the motion measurement device according to the third embodiment corrects the shift using a correction value when the motion measurement device has a shift.

  A configuration example of a motion measurement device to which the present invention is applied will be described. FIG. 46 is a block diagram illustrating a configuration of the motion measurement apparatus according to the third embodiment. The motion measurement apparatus 4600 according to the present embodiment includes an acceleration sensor 101, a data input unit 103, a posture determination unit 3305, a posture storage unit 4607, a motion direction / motion strength detection unit 109, and a motion content determination unit 4613. , Motion intensity fluctuation detection unit 3343, exercise time measurement unit 115, exercise amount conversion unit 3317, communication degree calculation unit 3345, device position correction unit 4647, correction position storage unit 4649, output unit 141, posture threshold The database 2001, the exercise amount conversion database 6001, and the exercise amount database 7000 are configured.

  Here, the acceleration sensor 101, the data input unit 103, the posture determination unit 3305, the motion direction / motion intensity detection unit 109, the motion intensity fluctuation detection unit 3343, the exercise measurement unit 115, and the exercise amount conversion unit 3317 The configuration and function of the communication degree calculation unit 3345, the output unit 141, the posture threshold value database 2001, the exercise amount conversion database 6001, and the exercise amount database 7000 are the same as those in the first embodiment or the second embodiment. Since there is, explanation is omitted.

  The posture storage unit 4607 stores the gravitational acceleration in each axial direction in addition to the configuration and function of the first embodiment. For example, “X-axis direction, 0G, Y-axis direction, 0, 2G, Z-axis direction, 0.7G” is further stored.

  In addition to the configuration and functions of the second embodiment, the exercise content determination unit 4613 determines the exercise content using the correction value calculated by the device position correction unit 4647 described later and stored in the correction position storage unit 4649. To do.

  The device position correction unit 4647 calculates a correction value for correcting the shift when the motion measurement device is shifted due to the motion, and stores it in a correction position storage unit 4649 described later. The correction position storage unit 4649 stores the correction value calculated by the device position correction unit 4647.

  Next, the motion measurement process by the motion measuring device configured as described above will be described. Here, the motion measurement process according to the present embodiment is substantially the same as the motion measurement process according to the second embodiment, and therefore only different parts will be described. The overall flow of the motion measurement process is the same as that in FIG. 40 of the second embodiment, and the detailed process is also substantially the same as in FIGS. FIG. 47 is a flowchart showing an exercise content determination procedure performed by the exercise content determination unit, the motion direction / motion intensity detection unit, and the apparatus position correction unit. Since part of the exercise content determination process is different, only the different part will be described here. In particular, the determination of “running” of the exercise content is performed.

  Steps S47001 to S47005 and S47007 are not described here with reference to the description in FIG. After determining that the exercise content is “running” in step S47005, apparatus position correction processing is performed (step S47006). Details of the processing will be described later.

  Next, apparatus position correction processing will be described. FIG. 48 is a flowchart illustrating a device position correction procedure performed by the device position correction unit.

  First, the device position correction unit 4647 detects the local maximum value in each axis direction from the motion acceleration, and cuts out the motion acceleration for one cycle around the local maximum value (step S48001). Device position correction unit 4647 calculates an average addition value from the motion acceleration for one cycle (step S48002). For example, consider a case where the addition average value is 0.2 G in the X-axis direction, 0.1 G in the Y-axis direction, and 0.8 G in the Z-axis direction. The apparatus position correction unit 4647 acquires the gravitational acceleration in each axial direction when the quadruped is initially measured from the posture storage unit 4607 (step S48003). For example, the X axis direction is 0G, the Y axis direction is 0.2G, and the Z axis direction is 0.7G. The apparatus position correction unit 4647 sets the difference between the addition average value and the gravitational acceleration as a correction value (step S48004). In the above case, X-axis direction 0G-0.2G = -0.2G, Y-axis direction 0.2G-0.1G = 0.1G, Z-axis direction 0.7G-0.8G = -0.1G It becomes. The apparatus position correction unit 4647 stores the correction value in the correction storage unit 4649 (step S48005).

  Next, an exercise content determination process in the case where the apparatus position of the exercise measuring apparatus is corrected by the correction value calculated by the above-described process will be described. 49A and 49B are flowcharts illustrating an exercise content determination procedure performed by the exercise content determination unit and the motion direction / motion intensity detection unit. In particular, the determination process for the exercise content “jump” will be described. Here, the procedure of the exercise content determination process according to the present embodiment is substantially the same as the flowchart shown in FIG. 42, and therefore only the different parts will be described. Steps S49001, S49006 to S49009, and steps S49014 to S4025 are not described here with reference to the description in FIG.

  The motion direction / motion intensity detection unit 109 detects the local maximum value in the Y-axis direction from the motion acceleration (step S49002). The exercise content determination unit 4613 acquires the correction value in the Y-axis direction from the correction value storage unit 4649, and adds it to the maximum value in the Y-axis direction (step S49003). The exercise content determination unit 4613 stores the local maximum value in the Y-axis direction on the memory (step S49004). The motion intensity fluctuation detection unit 3343 determines whether or not the absolute value of the difference from the previously detected maximum value with respect to the Y-axis direction is 1 G or more (step S49005). Here, the value stored in the memory is used as the previously detected maximum value with respect to the Y-axis direction. As a result, even if the position of the device is deviated from the time when the maximum value with respect to the Y-axis direction was detected last time, the difference between the maximum values can be compared with the corrected maximum value with respect to the Y-axis direction. Can be determined appropriately. Steps S49006 to S49009 refer to the description in FIG.

  The motion direction / motion intensity detector 109 detects the local maximum value in the Z-axis direction from the motion acceleration (step S49010). The exercise content determination unit 4613 acquires the correction value in the Z-axis direction from the correction value storage unit 4649 and adds it to the local maximum value in the Z-axis direction (step S49011). The exercise content determination unit 4613 stores the local maximum value in the Z-axis direction on the memory (step S49012). It is determined whether the absolute value of the difference from the previously detected maximum value is 0.5 G or more (step S49013). Here, as in step S49005 described above, the value stored in the memory is used as the maximum value with respect to the Y-axis direction detected last time. As a result, even if the position of the device is deviated from the time when the maximum value with respect to the Y-axis direction was detected last time, the difference between the maximum values can be compared with the corrected maximum value with respect to the Y-axis direction. Can be determined appropriately. Steps S49014 to S49025 refer to the description in FIG.

  As described above, the position deviation of the motion measuring device can be corrected by calculating the correction value for the position displacement of the motion measuring device caused by the movement of the animal and determining the motion content using the calculated correction value. . In the case of animals, there is a problem in that the gravitational acceleration and the motion acceleration cannot be measured accurately because the position of the apparatus is shifted due to various movements. On the other hand, in the present embodiment, as described above, by correcting the positional deviation of the apparatus with the correction value, the exercise content can be accurately determined, and the exercise amount can also be accurately calculated.

  The motion measurement program executed by the motion measurement device of the first to third embodiments (hereinafter referred to as the present embodiment) is provided by being incorporated in advance in a ROM or the like.

  The motion measurement program executed by the motion measurement device of the present embodiment is a file in an installable or executable format, and is a CD-ROM, floppy disk (FD) (TM), CD-R, DVD (Digital Versatile). It may be configured to be recorded on a computer-readable recording medium such as Disk).

  Furthermore, the motion measurement program executed by the motion measurement device of the present embodiment may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. Moreover, you may comprise so that the exercise | movement measurement program performed with the exercise | movement measuring device of this Embodiment may be provided or distributed via networks, such as the internet.

  The motion measurement program executed by the motion measurement device of the present embodiment includes the above-described units (data input unit, posture determination unit, motion direction / motion intensity detection unit, regularity / continuity determination unit, motion content determination unit, It has a module configuration including an exercise continuation measurement unit, an exercise amount conversion unit, an operation interval measurement unit, a fatigue level determination unit, a muscle vibration detection unit, a target frequency setting unit, an output unit, and the like. The processor) reads out the program from the ROM and executes it to load each of the above units on the main storage device. The data input unit, the posture determination unit, the motion direction / motion strength detection unit, the regularity / continuity determination unit, An exercise content determination unit, an exercise continuation measurement unit, an exercise amount conversion unit, an operation interval measurement unit, a fatigue level determination unit, a muscle vibration detection unit, a target frequency setting unit, an output unit, etc. are generated on the main storage device. There.

It is a block diagram which shows the structure of the exercise | movement measuring device concerning 1st Embodiment. It is explanatory drawing which shows an example of the axial direction of the acceleration which an acceleration sensor measures. It is explanatory drawing which shows the axial direction in case an exerciser is lying down. It is explanatory drawing which shows the axial direction in case an exerciser is supine. It is explanatory drawing which shows the example of mounting | wearing of an exercise | movement measuring device. It is explanatory drawing which shows the example of mounting | wearing of an acceleration sensor. It is explanatory drawing which shows the example of mounting | wearing of an exercise | movement measuring device. It is explanatory drawing which shows the example of mounting | wearing of an exercise | movement measuring device. It is explanatory drawing which shows an example of the acceleration waveform which the acceleration sensor measured. It is explanatory drawing which shows an example of the input of the motion acceleration which the acceleration sensor measured for every exercise | movement content. It is explanatory drawing which shows an example of the exercise | movement content determined for every attitude | position. It is explanatory drawing which shows an example of the data structure of the target frequency information memorize | stored in the target frequency memory | storage part. It is explanatory drawing which shows an example of the data structure of the motion interval information memorize | stored in the motion interval memory | storage part. It is explanatory drawing which shows an example of the data of the motion strength range information memorize | stored in the motion strength memory | storage part. It is explanatory drawing which shows an example of a data structure of an attitude | position threshold value database. It is explanatory drawing which shows an example of a data structure of the exercise content threshold value database. It is explanatory drawing which shows an example of a data structure of a division | segmentation database. It is explanatory drawing which shows an example of the data structure of a determination database. It is explanatory drawing which shows an example of a data structure of an exercise amount conversion database. It is explanatory drawing which shows an example of a data structure of an exercise amount conversion database. Acceleration sensor, data input unit, posture determination unit, motion direction / motion intensity detection unit, regularity / continuity determination unit, exercise content determination unit, exercise continuation measurement unit, momentum conversion unit, motion interval measurement unit, fatigue level determination unit It is a flowchart which shows the exercise | movement measurement procedure which a muscle vibration detection part, a target frequency setting part, and an output part perform. It is a flowchart which shows the attitude | position determination procedure which an attitude | position determination part performs. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the continuity determination procedure which a regularity / continuity determination part performs. It is a flowchart which shows the regularity determination procedure which a regularity / continuity determination part performs. It is a flowchart which shows the anaerobic exercise process procedure which an exercise amount conversion part, an operation | movement interval measurement part, a muscle vibration detection part, a fatigue degree determination part, an exercise | movement continuation measurement part, and an output part perform. It is a flowchart which shows the operation | movement frequency measurement processing procedure which an exercise | movement continuation measurement part performs. It is a flowchart which shows the exercise intensity determination processing procedure which an exercise amount conversion part performs. It is a flowchart which shows the fatigue level determination process sequence which an operation space | interval measurement part and a fatigue level determination part perform. It is a flowchart which shows the fatigue level determination process sequence which a muscle vibration detection part and a fatigue level determination part perform. It is a flowchart which shows the aerobic exercise process procedure which an exercise amount conversion part, an operation | movement interval measurement part, an exercise | movement continuation measurement part, and an output part perform. It is a flowchart which shows the operation interval comparison processing procedure which an operation interval comparison part, an operation interval measurement part, and an output part perform. It is a flowchart which shows the operation interval comparison processing procedure which an operation interval comparison part, an operation interval measurement part, and an output part perform. It is explanatory drawing which shows an example of the display screen at the time of an exercise | movement end. It is explanatory drawing which shows an example of the display screen before the completion | finish of target frequency. It is explanatory drawing which shows an example of the display screen before the completion | finish of target frequency. It is a block diagram which shows the structure of the exercise | movement measuring device concerning 2nd Embodiment. It is explanatory drawing which shows an example of the axial direction of the acceleration which the acceleration sensor with which the animal was mounted | worn measures. It is explanatory drawing which shows an example of the acceleration waveform which the acceleration sensor measured. It is explanatory drawing which shows an example of a data structure of an attitude | position threshold value database. It is explanatory drawing which shows the angle which makes with each axial direction for every attitude | position. It is explanatory drawing which shows an example of a data structure of an exercise amount conversion database. It is explanatory drawing which shows an example of a data structure of an exercise amount database. Motion measurement performed by an acceleration sensor, data input unit, posture determination unit, motion direction / motion intensity detection unit, motion intensity fluctuation detection unit, exercise content determination unit, exercise continuation measurement unit, exercise amount conversion unit, communication degree calculation unit, and output unit It is a flowchart which shows a procedure. It is a flowchart which shows the attitude | position determination procedure which an attitude | position determination part performs. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part, a motion direction / motion intensity | strength detection part, and a motion intensity fluctuation | variation detection part perform. It is explanatory drawing which shows an example of the display screen of exercise amount. It is a block diagram which shows the structure of the exercise | movement measuring device concerning 3rd Embodiment. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part, an operation | movement direction / motion intensity | strength detection part, and an apparatus position correction | amendment part perform. It is a flowchart which shows the apparatus position correction | amendment procedure which an apparatus position correction | amendment part performs. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform. It is a flowchart which shows the exercise | movement content determination procedure which an exercise | movement content determination part and a motion direction / motion intensity | strength detection part perform.

Explanation of symbols

100 3300 4600 Motion measurement device 101 Acceleration sensor 103 Data input unit 105 3305 Posture determination unit 107 4607 Posture storage unit 109 Motion direction / motion intensity detection unit 111 Regularity / continuity determination unit 113 3313 4613 Motion content determination unit 115 Motion continuation measurement Unit 117 3317 momentum conversion unit 119 operation interval measurement unit 121 fatigue degree determination unit 123 muscle vibration detection unit 125 target number of times setting unit 127 target number of times storage unit 129 operation interval setting unit 131 operation interval storage unit 133 operation interval comparison unit 135 operation intensity setting Unit 137 motion intensity storage unit 139 motion intensity comparison unit 141 output unit 3343 motion intensity fluctuation detection unit 3345 communication degree calculation unit 4647 device position correction unit 4649 correction value storage unit 2000 2001 posture threshold value database 3 00 movement content threshold database 4000 partitioned database 5000 determination database 6000 6001 momentum in terms of database 7000 momentum database

Claims (25)

An acceleration sensor for measuring gravitational acceleration information of the subject in a stationary state of the subject and motion acceleration information generated along with the motion of the subject;
Posture determination means for determining a posture indicating a body direction from the gravitational acceleration information measured by the acceleration sensor;
Motion direction detection means for detecting the motion direction of the subject from the motion acceleration information measured by the acceleration sensor;
Motion intensity detection means for detecting the motion intensity of the subject from the motion acceleration information measured by the acceleration sensor;
Using the posture determined by the posture determination means, the motion direction detected by the motion direction detection means, and the motion intensity detected by the motion strength detection means, exercise content indicating the type of motion is obtained. Exercise content determination means for determining;
Exercise continuation measuring means for measuring the duration or number of continuations of the exercise content from the motion acceleration information measured by the acceleration sensor;
An exercise amount conversion storage means for storing the exercise content, a plurality of different motion intensities about the exercise content, and calorie consumption information indicating calorie consumption per unit time or unit number for each motion intensity;
In the exercise amount conversion storage means, the calorie consumption information associated with the exercise content determined by the exercise content determination means and the action intensity detected by the action intensity detection means is searched and searched. A momentum conversion means for converting an amount of exercise using the calorie consumption information and the duration or number of continuations measured by the exercise continuation measurement means;
A motion measuring device comprising: The exercise amount conversion storage means further stores the exercise content and aerobic exercise or anaerobic exercise in association with each other,
The exercise content determination means further determines whether the exercise content is an aerobic exercise or an anaerobic exercise using the classification stored by the exercise amount conversion storage means,
The exercise amount conversion means further measures the calorie consumption information stored in the exercise amount conversion storage means and the exercise continuation measurement means when the exercise content determination means determines that the exercise content is anaerobic exercise. The exercise measuring apparatus according to claim 1, wherein the exercise amount is converted using the number of continuous times. The exercise amount conversion storage means further stores the exercise content and aerobic exercise or anaerobic exercise in association with each other,
The exercise content determination means further determines whether the exercise content is an aerobic exercise or an anaerobic exercise using the classification stored by the exercise amount conversion storage means,
The exercise amount conversion means is further measured by the calorie consumption information stored in the exercise amount conversion storage means and the exercise continuation measurement means when the exercise content determination means determines that the exercise content is aerobic exercise. The exercise measuring device according to claim 1, wherein the exercise amount is converted using the duration time.   The exercise measuring apparatus according to claim 1, further comprising an exercise amount output unit that displays the exercise amount converted by the exercise amount conversion unit.   The exercise measuring device according to claim 4, wherein the exercise amount output unit further outputs the exercise amount by voice. The posture determination means further determines at least standing as the posture determined from the gravitational acceleration information measured by the acceleration sensor;
When the posture is standing, the movement content determination means further uses the movement direction detected by the movement direction detection means and the movement intensity detected by the movement intensity detection means to perform the movement performed at the time of standing. The exercise measuring apparatus according to claim 1, wherein the exercise content is determined. The posture determination means further determines prone at least as the posture determined from the gravitational acceleration information measured by the acceleration sensor;
When the posture is prone, the exercise content determination means further uses the action direction detected by the action direction detection means and the action intensity detected by the action intensity detection means to perform an exercise performed when lying down. The exercise measuring apparatus according to claim 1, wherein the exercise content is determined. The posture determination means further determines at least supine as the posture determined from the gravitational acceleration information measured by the acceleration sensor,
The motion content determination means further uses the motion direction detected by the motion direction detection means and the motion intensity detected by the motion strength detection means when the posture is supine, The motion measuring device according to claim 1, wherein the motion measuring device determines that the motion is sometimes performed. Regularity / continuity determining means for determining regularity or continuity of the motion content from the motion acceleration information measured by the acceleration sensor,
9. The exercise content determination unit further determines the exercise content using regularity or continuity determined by the regularity / continuity determination unit. The motion measuring device described in 1. An operation interval measuring means for measuring an operation interval indicating a time between the operations from the operation acceleration information measured by the acceleration sensor;
The exercise according to claim 9, wherein the exercise continuation measuring unit does not count the number of continuations when the operation interval measured by the operation interval measuring unit is equal to or longer than a predetermined time. Measuring device. Fatigue level determination means for determining a fatigue level indicating the degree of fatigue using the motion interval measured by the motion interval measurement means,
The exercise measuring device according to claim 10, wherein the momentum output unit further outputs information on the fatigue level determined by the fatigue level determination unit. Muscle vibration detection means for detecting muscle vibration from the motion acceleration information measured by the acceleration sensor;
The motion measurement apparatus according to claim 11, wherein the fatigue level determination unit further determines a fatigue level from muscle vibration detected by the muscle vibration detection unit. An action interval storage means for storing the exercise content and an action interval range indicating an action interval range for measuring an action interval indicating a time between the actions;
The motion interval range stored by the motion interval storage means in association with the motion content determined by the motion content determination means is searched, and the motion interval measured by the motion interval measurement means is searched. An operation interval comparison means for comparing operation interval ranges and determining whether or not the operation interval is within the operation interval range;
The motion measurement apparatus according to claim 1, further comprising: an operation interval output unit that outputs a result determined by the operation interval comparison unit.   14. The exercise according to claim 13, further comprising an operation interval setting unit that receives an input of the operation interval range for the exercise content and stores the exercise content and the operation interval range in the operation interval storage unit. Measuring device. Action intensity storage means for storing the exercise content and an action intensity range indicating a range of the action intensity in association with each other;
The motion intensity range stored in the exercise intensity storage unit in association with the exercise content determined by the exercise content determination unit is searched, and the operation intensity detected by the operation intensity search unit is searched. An exercise intensity comparison means for comparing an operation intensity range and determining whether the operation intensity is within the operation intensity range;
The exercise measuring device according to claim 1, further comprising exercise intensity output means for outputting a result determined by the exercise intensity comparing means.   The exercise intensity setting means for receiving the exercise intensity range corresponding to the exercise content and storing the exercise content and the exercise intensity range in the exercise intensity storage means. Motion measurement device. The subject is an animal;
An operation intensity fluctuation detecting means for detecting a time fluctuation of the action intensity detected by the action intensity detecting means;
The exercise content determination means further includes the time fluctuation detected by the motion intensity fluctuation detection means, the posture determined by the posture determination means, the motion direction detected by the motion direction detection means, The motion according to claim 1, wherein the motion content indicating the type of motion performed by the animal is determined using the motion strength detected by the motion strength detection means. Measuring device.   The posture determination means further determines at least one of the postures for standing on four legs, prone or lying on the back using the gravitational acceleration information measured by the acceleration sensor. Motion measurement device.   The exercise content determination means further includes the time variation detected by the motion intensity fluctuation detection means, the posture determined by the posture determination means, the motion direction detected by the motion direction detection means, and the motion intensity detection. 19. The motion measurement apparatus according to claim 17, wherein the animal motion content is determined to be a jump using the motion intensity detected by the means.   The exercise content determination means further includes the time variation detected by the motion intensity fluctuation detection means, the posture determined by the posture determination means, the motion direction detected by the motion direction detection means, and the motion intensity detection. 20. The motion measuring apparatus according to claim 17, wherein the animal motion content is determined to be play using the motion intensity detected by the means. It comprises exercise information storage means for associating and storing the animal exercise content determined by the exercise content determination means, the duration measured by the exercise continuation measurement means, and the exercise quantity converted by the exercise quantity conversion means. ,
The momentum conversion means further calculates a total amount of exercise obtained by summing the amount of exercise stored in the exercise information storage means,
21. The exercise measuring apparatus according to claim 17, wherein the exercise amount output unit further displays the total exercise amount calculated by the exercise amount conversion unit. Communication degree calculation means for calculating a communication degree indicating a degree of touch between the animal and the owner using the animal movement content determined by the exercise content determination means and the duration measured by the movement continuation measurement means. In addition,
The exercise measuring device according to any one of claims 17 to 21, wherein the exercise amount output unit further displays the communication degree calculated by the communication degree calculation unit. The posture storage means further stores the gravitational acceleration information when the posture determination means determines that the quadruped is raised,
Correction for correcting the motion acceleration information using the gravitational acceleration information stored by the posture storage means, the motion direction detected by the motion direction detection means, and the motion intensity detected by the motion intensity detection means An apparatus position correcting means for calculating a value,
23. The motion content determination unit further determines the animal motion content by correcting the motion acceleration information using the correction value calculated by the device position correction unit. The movement measuring device according to any one of the above. An acquisition step of acquiring gravitational acceleration information of the subject in a stationary state of the subject and motion acceleration information generated along with the motion of the subject;
A posture determination step of determining a posture indicating the direction of the body from the gravitational acceleration information acquired in the acquisition step;
A motion direction detection step of detecting a motion direction of the subject from the motion acceleration information acquired in the acquisition step;
A motion intensity detection step of detecting the motion intensity of the subject from the motion acceleration information acquired in the acquisition step;
Exercise content indicating the type of motion using the posture determined in the posture determination step, the motion direction detected in the motion direction detection step, and the motion strength detected in the motion strength detection step. An exercise content determination step for determining;
An exercise continuation measuring step of measuring a duration or number of continuations of the exercise content from the motion acceleration information acquired in the acquisition step;
Associating the exercise content, a plurality of different motion intensities about the exercise content, and calorie consumption information indicating calorie consumption per unit time or unit number of the exercise content for each exercise content for each motion intensity In the exercise amount conversion storage means for storing, the calorie consumption information associated with the exercise content determined in the exercise content determination step and the motion intensity detected in the motion intensity detection step is searched and searched. A momentum conversion step for converting the amount of exercise using the calorie consumption information and the duration or the number of continuations measured by the exercise continuation measuring means;
A motion measurement method characterized by comprising: An acquisition step of acquiring gravitational acceleration information of the subject in a stationary state of the subject and motion acceleration information generated along with the motion of the subject;
A posture determination step of determining a posture indicating the direction of the body from the gravitational acceleration information acquired in the acquisition step;
A motion direction detection step of detecting a motion direction of the subject from the motion acceleration information acquired in the acquisition step;
A motion intensity detection step of detecting the motion intensity of the subject from the motion acceleration information acquired in the acquisition step;
Exercise content indicating the type of motion using the posture determined in the posture determination step, the motion direction detected in the motion direction detection step, and the motion strength detected in the motion strength detection step. An exercise content determination step for determining;
An exercise continuation measuring step of measuring a duration or number of continuations of the exercise content from the motion acceleration information acquired in the acquisition step;
Associating the exercise content, a plurality of different motion intensities about the exercise content, and calorie consumption information indicating calorie consumption per unit time or unit number of the exercise content for each exercise content for each motion intensity In the exercise amount conversion storage means for storing, the calorie consumption information associated with the exercise content determined in the exercise content determination step and the motion intensity detected in the motion intensity detection step is searched and searched. A momentum conversion step for converting the amount of exercise using the calorie consumption information and the duration or the number of continuations measured by the exercise continuation measuring means;
A motion measurement program for causing a computer to execute.

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