WO2012117632A1 - 活動量計 - Google Patents

活動量計 Download PDF

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Publication number
WO2012117632A1
WO2012117632A1 PCT/JP2011/077367 JP2011077367W WO2012117632A1 WO 2012117632 A1 WO2012117632 A1 WO 2012117632A1 JP 2011077367 W JP2011077367 W JP 2011077367W WO 2012117632 A1 WO2012117632 A1 WO 2012117632A1
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WO
WIPO (PCT)
Prior art keywords
activity
amount
index
acquired
age
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
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PCT/JP2011/077367
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English (en)
French (fr)
Japanese (ja)
Other versions
WO2012117632A9 (ja
Inventor
秀武 大島
直己 武石
小川　博
雄司 朝田
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Omron Healthcare Co Ltd
Original Assignee
Omron Healthcare Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to JP2011043762A priority Critical patent/JP5923857B2/ja
Application filed by Omron Healthcare Co Ltd filed Critical Omron Healthcare Co Ltd
Priority to CN201180068673.5A priority patent/CN103402430B/zh
Priority to DE112011104986.2T priority patent/DE112011104986T5/de
Priority to US13/985,088 priority patent/US8810410B2/en
Publication of WO2012117632A1 publication Critical patent/WO2012117632A1/ja
Publication of WO2012117632A9 publication Critical patent/WO2012117632A9/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1118—Determining activity level
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • G01C22/006—Pedometers
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C99/00—Subject matter not provided for in other groups of this subclass
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6823—Trunk, e.g., chest, back, abdomen, hip
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/683—Means for maintaining contact with the body
    • A61B5/6831—Straps, bands or harnesses
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S128/00—Surgery
    • Y10S128/904—Telephone telemetry

Definitions

  • the present invention relates to an activity meter that measures the amount of physical activity of the measurement subject, and more particularly to an activity meter that outputs an index related to the amount of physical activity.
  • Patent Document 1 Japanese Patent Laid-Open No. 2006-204446
  • Patent Document 2 Japanese Patent Laid-Open No. 2001-258870
  • the standard deviation Sw of acceleration at a certain time tw is calculated from the output signal of the acceleration sensor, and the standard deviation Sw is calculated using a conversion formula prepared in advance.
  • the exercise intensity wi is calculated from the above.
  • Patent Document 2 Japanese Patent Laid-Open No.
  • the impulse of the kinetic mass is calculated by vector synthesis from the triaxial acceleration, and the energy consumption is calculated from the impulse corresponding to the type of movement. .
  • the type of exercise is determined based on the ratio between the impulse by the combined vector and the impulse in the front and rear, left and right, and up and down directions.
  • Patent Document 3 Japanese Patent Laid-Open No. 2010-175257
  • the consumption energy history and the reference data are compared to calculate which age activity pattern the user's activity state corresponds to.
  • Patent Document 3 Japanese Patent Application Laid-Open No. 2010-175257, it is calculated which age activity pattern the user's activity state corresponds to, but an index relating to the activity for achieving the target activity pattern is not presented. .
  • an object of the present invention is to provide an activity meter that outputs an index for achieving an activity age target.
  • the present invention includes an activity amount acquisition unit that acquires the activity amount of the measured person, an index acquisition unit that acquires an index related to the activity amount, and an index output unit that outputs the acquired index.
  • the index acquisition unit includes an activity age acquisition unit that acquires the activity age representing the standard age of the person who performs the same amount of activity as the activity amount acquired in the unit period using the physical information of the measured person. Based on the amount of activity, obtain an index to achieve the activity age target.
  • the present invention can acquire and output an index for achieving the activity age target based on the amount of activity acquired from the measurement subject.
  • the activity age is a standard (or a person who performs an activity of the same amount as the total amount of activity represented by exercise intensity or calories burned in the unit period in the same period (or (Average) represents age.
  • the unit period is one day, but is not limited to one day.
  • the real age refers to the age according to the calendar (age counted from the time of birth).
  • METs Medical Evangelism Training & Strategies
  • METs is used as an index indicating the physical activity intensity.
  • METs is a unit that represents the strength of physical activity corresponding to how many times it is at rest. A state of sitting and resting is equivalent to 1 METs, and normal walking is equivalent to 3 METs.
  • exercise (Ex) is a unit that expresses the amount of physical activity, and is obtained by multiplying the physical activity intensity (METs) by the physical activity time (hour: Hour).
  • a pedometer is illustrated as an activity meter, but is not limited to a pedometer. That is, any device having a function capable of measuring the amount of activity due to physical activity including exercise (including walking) and daily activities (for example, applying a vacuum cleaner, carrying luggage, cooking, etc.) may be used.
  • exercise including walking
  • daily activities for example, applying a vacuum cleaner, carrying luggage, cooking, etc.
  • the pedometer can be shared by a plurality of measured persons, it is assumed here that only one measured person is used to simplify the explanation.
  • a pedometer 100 as an activity meter has a small body casing that can be carried.
  • the body casing includes a case body 110, a cover body 120, and a clip body 130. It is divided into and.
  • the case main body 110 has a display surface on which a display 20 capable of displaying various information such as the counted number of steps, exercise intensity, and activity age and an operation unit 30 having various buttons for receiving operations by the measurement subject.
  • the operation unit 30 includes a button 31 that is operated by the measurement subject to request an output of activity age.
  • the lower end of the case main body 110 and the cover body 120 are rotatably connected around the joint portion, and the pedometer 100 is opened or closed by the rotation of the joint portion.
  • a clip body 130 is provided on the surface of the cover body 120 opposite to the surface facing the display surface of the case body 110. The clip body 130 makes it possible to attach the pedometer 100 to the measurement subject's waist, abdomen, or the like, as shown in FIG.
  • FIG. 2 shows a hardware configuration of a system including the pedometer 100.
  • the pedometer 100 includes a CPU (Central Processing Unit) 10 for controlling the whole, a display 20, an operation unit 30, an acceleration sensor unit 40 including an acceleration sensor and an MPU (Micro-Processing Unit), a program executed by the CPU 10, A memory 50 for storing data, a communication I / F (abbreviation of interface) 60 for wirelessly or wiredly communicating with an external device, a power source 70 such as a battery, an audio output unit 80 for outputting audio, and A timer 90 is included for timing and outputting time data.
  • a CPU Central Processing Unit
  • a display 20 for controlling the whole
  • an operation unit 30 for controlling the whole
  • an acceleration sensor unit 40 including an acceleration sensor and an MPU (Micro-Processing Unit)
  • a memory 50 for storing data
  • a communication I / F (abbreviation of interface) 60 for wirelessly or wiredly communicating with an external device
  • a power source 70
  • Pedometer 100 communicates with external devices 200 and 300 via communication I / F 60 by wireless or wired.
  • the device 200 corresponds to, for example, a portable terminal (PDA (Personal Digital Assistant), mobile phone, etc.), and the device 300 has a function of measuring the body weight and body composition of the measurement subject.
  • PDA Personal Digital Assistant
  • the apparatus 200 includes a CPU 201, a memory 202, an output unit 203, an input unit 204, a communication I / F 205, and a device driver 207 for accessing data in a CD-ROM (compact disk read only memory) 206.
  • the device driver 207 is detachably attached to the CD-ROM 206, reads data (including a program) of the attached CD-ROM 206, or writes data to the attached CD-ROM 206.
  • the apparatus 300 includes a body weight / body composition measuring unit 301 that measures a subject's height, weight, body fat, and the like, a communication I / F 302 for transmitting the measured information to the outside, and a timer 303.
  • the measured weight and body composition information are transmitted to the pedometer 100 via the communication I / Fs 302 and 60 as weight data and body composition data to which time data indicating the measurement time measured by the timer 303 is added, respectively.
  • FIG. 3 shows a configuration of functions that operate under the control of the CPU 10.
  • an activity amount acquisition unit 11 for acquiring the activity amount of the body of the measured person
  • a target consumption calorie acquisition unit 14 for acquiring a target calorie consumption consumed by a person of a target activity age in a unit period
  • An index acquisition unit 15 for acquiring an index related to the output
  • an output processing unit 17 that outputs various types of information.
  • the activity amount acquisition unit 11 includes an exercise intensity acquisition unit 12 that acquires the exercise intensity of the measurement subject, and an activity consumption calorie calculation unit 13 that calculates calorie consumption based on the activity amount.
  • the index acquisition unit 15 includes an activity age acquisition unit 16 for acquiring activity age.
  • the output processing unit 17 includes an index output unit 18 for outputting an index related to the activity amount to the measurement subject.
  • 3 corresponds to a program or a combination of a program and a circuit module.
  • the activity amount acquisition unit 11 receives the exercise intensity input from the acceleration sensor unit 40 and the time data input from the timer 90.
  • Activity intensity data Mi (to be described later) in which activity intensity indicating the exercise intensity from the acceleration sensor unit 40 is associated with time data from the timer 90 is acquired, and the acquired activity intensity data Mi is stored in the memory 50.
  • the time data associated with the activity intensity refers to the measured date and time of the activity.
  • the acceleration sensor unit 40 measures the number of steps in the same manner as the number of steps measured by a general pedometer.
  • the acceleration sensor detects acceleration applied to the pedometer 100.
  • the detected acceleration is derived as a voltage signal.
  • the MPU processes an output signal from the acceleration sensor. For example, when an acceleration equal to or greater than a threshold is detected based on a signal sequentially output from the acceleration sensor, processing is performed so that the number of times is counted as one step.
  • the MPU of the acceleration sensor unit 40 uses the acceleration data measured based on the acceleration signal input from the acceleration sensor at a predetermined time interval (for example, an interval of 20 seconds) as a measurement operation for a predetermined time.
  • a predetermined time interval for example, an interval of 20 seconds
  • Each exercise intensity (unit: METs) is calculated.
  • a specific method for calculating exercise intensity can be calculated using a known method such as the method disclosed in Japanese Patent Application Laid-Open No. 2009-28312 by the applicant.
  • the exercise intensity is an index representing the strength of physical activity depending on the walking pitch (the number of steps per predetermined time) and the height of the measurement subject input in advance. For example, a resting state is equivalent to 1 METs, a normal walk (4 km / hour) is equivalent to 3 METs, a vacuum cleaner is equivalent to 3.5 METs, and jogging is equivalent to 7 METs (for health promotion) Exercise Guidelines “Exercise Guide 2006” (Ministry of Health, Labor and Welfare)).
  • the activity calorie consumption calculation unit 13 calculates the calorie consumption due to the activity of the measurement subject according to the following equation.
  • Calorie consumption (kcal) exercise intensity (METs) ⁇ weight (kg) ⁇ exercise duration (h) ⁇ 1.05 (from the exercise guide “Exercise Guide 2006” for health promotion, Ministry of Health, Labor and Welfare).
  • the exercise intensity and the exercise duration can be acquired from the activity intensity data Mi, and the weight can be acquired from the physique data 57 described later.
  • the activity amount acquisition unit 11 calculates the amount of physical activity (unit: Ex) by multiplying the activity intensity (METs) by the duration of physical activity (hour: Hour).
  • the activity age acquisition unit 16 acquires the activity age based on the activity amount of the measured person.
  • the activity age can be calculated by conversion using an arithmetic expression, or can be acquired by searching a conversion table.
  • the conversion formula used to calculate the activity age includes parameters (variables) and coefficients.
  • the parameter includes physical information having the basal metabolic rate of the subject.
  • the activity age acquisition unit 16 can variably determine the coefficient.
  • FIG. 4 illustrates the storage contents of the memory 50.
  • the activity intensity data Mi includes activity intensity measured by daily activities or exercise, and a corresponding measurement time.
  • the calorie consumption 52 calculated from the activity amount of the measured person, the calculated basal metabolism amount 53, the acquired predicted activity age 54, and the conversion referred to in order to convert the calorie consumption into the activity age A table group 55 is stored. Furthermore, the physical age data 56 of the measured person, the physique data 57 including the weight, height, etc. of the measured person, the calorie consumption history data 58 indicating the change according to the time series of the calorie consumption, and the sex indicating the sex of the measured person Data 59 is stored.
  • the physical information representing the characteristics unique to the body of the subject includes actual age data 56, physique data 57, sex data 59, basal metabolism 53, and the like.
  • FIG. 5 is a bar graph showing calorie consumption (kcal) per unit time zone (here, 1 hour time zone) in the unit period of the subject.
  • the data of FIG. 5 represents the calorie consumption history data 58 of the area E3.
  • the calorie consumption history data 58 is generated by the activity calorie consumption calculation unit 13. Specifically, the activity calorie consumption calculation unit 13 is based on activity intensity data Mi for the past month, for example, for each unit time zone (0:00,..., 7:00, 8:00,. ⁇ ⁇ Average of activity intensity for 1 month of activity intensity at 22:00,. And the calorie consumption of the said unit time is calculated according to the above-mentioned calculation formula using the said average value for every unit time. The average calorie consumption for the past month per unit time calculated in this way is referred to as unit calorie consumption.
  • the activity consumption calorie calculation unit 13 stores the calculated unit consumption calories in the region E3 as consumption calorie history data 58 in association with each unit time.
  • the calorie consumption history data 58 is updated daily.
  • the activity calorie consumption calculation unit 13 calculates a unit calorie consumption at 24:00 every day, for example, and updates the calorie consumption history data 58 using the calculation result.
  • the unit time zone is 1 hour long, but the length is not limited to 1 hour.
  • stored is not limited to an average, What is necessary is just a representative value, for example, a mode value or a median value etc. may be sufficient as it.
  • Basal metabolism theory value (0.0481 ⁇ W + 0.0234 ⁇ H-0.0138 ⁇ R-0.5473 ⁇ F + 0.1238) ⁇ 239 (Formula 1)
  • W body weight
  • H height
  • R actual age
  • F gender
  • the unit of weight of W refers to kg
  • the unit of height of H refers to cm.
  • F points to 1 for men and 2 for women.
  • R is represented by (Formula 2).
  • R (Theoretical metabolic value / 239-0.1238-0.0481 ⁇ W-0.0234 ⁇ H + 0.5473 ⁇ F) / (-0.0138)
  • PAL Physical Activity Level
  • the daily physical activity level PAL is calculated from the total daily calorie consumption (unit: kcal) / daily basal metabolic rate (unit: kcal). It is known that the physical activity level PAL is 1.6 to 1.9 if the activity amount is “normal”. Here, an intermediate value of 1.75 is adopted as the representative value.
  • the activity age may be acquired by searching the conversion table group 55 instead of the calculation using the above (Formula 4).
  • the conversion table group 55 includes a conversion table for each set of height H, weight W, and sex F.
  • the conversion table corresponding to each group stores the activity age in association with each value of basal metabolism calculated according to (Equation 3).
  • FIG. 6 shows an example of the conversion table.
  • the conversion table in the case where the measurement subject's height is 170 cm, the weight is 60 kg, and the sex is male, the horizontal axis indicates the activity age, and the vertical axis indicates the basal metabolic rate according to (Equation 3) 1 It is shown as a graph of the following function.
  • the activity age acquisition unit 16 searches the conversion table group 55 based on the actual age data 56, the physique data 57, and the sex data 59 in the memory 50, and reads the corresponding conversion table (FIG. 6).
  • the activity age acquisition unit 16 calculates basal metabolism from the total calories consumed by the activity calorie consumption calculation unit 13.
  • the basal metabolism is calculated as 1420 kcal according to (Equation 3).
  • the activity age acquisition unit 16 can acquire 37 years old as the activity age by searching the conversion table of FIG. 6 based on the basal metabolism (1420 kcal).
  • FIG. 7 shows a process flowchart according to the present embodiment.
  • the process according to this process flowchart is realized by the CPU 10 reading a predetermined program from the memory 50 and executing each instruction of the read program.
  • the calculation of the activity age of the measurement subject will be described with reference to the flowchart of FIG.
  • the CPU 10 accepts the operation. Specifically, the CPU 10 starts the process of FIG. 7 based on an operation signal output from the operation unit 30 by operating the button 31.
  • the activity amount acquisition unit 11 acquires the activity amount from today's 00:00 to the current time (22:00) based on the activity intensity data Mi read from the area E1 of the memory 50. (Step S3).
  • the activity calorie consumption calculation unit 13 calculates the calorie consumption of the measurement subject based on the acquired activity amount (step S5), and the activity age acquisition unit 16 calculates the basal metabolic rate of the measurement subject for the unit period. Is calculated (step S7).
  • the activity age acquisition unit 16 calculates the activity age according to (Equation 4) using the calculated calorie consumption and basal metabolism (step S7). Or search the conversion table to get the activity age.
  • the activity age acquisition unit 16 gives the acquired activity age to the output processing unit 17.
  • the index output unit 18 of the output processing unit 17 displays the given activity age on the display 20 or outputs it via the audio output unit 80 (step S11).
  • FIG. 1 A display example of the display 20 at this time is shown in FIG. In (A) of FIG. 1, the acquired activity age is displayed together with the calculated calorie consumption.
  • the subject can know that the amount of activity (exercise) is appropriate if he / she determines that the displayed activity age indicates or is close to the actual age. If it is judged that there is, the amount of activity (exercise) can be known.
  • the activity age may be displayed as shown in FIG. In FIG. 8, an “OK” message 21 is displayed together if the activity age is less than or equal to the actual age of the subject, and an “NG” message is displayed if the activity age is greater than the actual age.
  • FIG. 1 (A) or FIG. 8 it is possible to present an index for determining whether the daily activity amount is appropriate for the measurement subject.
  • the measured person can obtain the motivation to increase the amount of activity or maintain the current amount of activity by checking the index.
  • the processing in FIG. 7 is started in response to the operation of the button 31, but the start timing is not limited to this.
  • the CPU 10 starts the processing. May be.
  • the CPU 10 may present an activity amount index for causing the activity age to reach the target activity age 51 as the calorie amount to be consumed.
  • calorie consumption WC An average calorie consumption (hereinafter referred to as calorie consumption WC) to be consumed in a week is calculated and output as an activity amount index.
  • the unit period is changed from one week to one day, and the calorie consumption WC is calculated by (the calculated value ⁇ (1.05 ⁇ 3METs ⁇ weight (kg)) ⁇ 60 minutes ⁇ 7) It may be possible to calculate and output the exercise time per day (unit: minutes) when active at an exercise intensity of 3METs, and calculate and output the calories to be consumed per day by WC ⁇ 7. Also good.
  • the target daily calorie consumption amount is indirectly presented by the exercise time (unit: minute) per day, and directly presented by the calculation of WC ⁇ 7.
  • the amount of calories or activity to be consumed thereafter that is, the time to be active may be presented. This will be described for the case where one week is assumed to be from Sunday to Saturday. For simplicity of explanation, it is assumed that the subject is active at 3 METs.
  • the index acquisition unit 15 subtracts the calorie consumption CC from the calorie consumption WC.
  • the value of the result represents the calories to be consumed in the remaining days of the week (the remaining period from the present day to the day of the weekend) (hereinafter referred to as calorie consumption RC), and this is acquired as an activity amount index.
  • the time (minutes) that should be exercised today is calculated by (calorie consumption RC ⁇ (number of remaining days) ⁇ (1.05 ⁇ 3METs ⁇ weight (kg)) ⁇ 60 minutes).
  • the index of activity calculated in this way (the calorie consumption RC and the time (minutes) to be exercised today) is displayed on the display 20 by the index output unit 18 or output from the audio output unit 80.
  • FIG. 9 shows a display example of the display 20 in this case.
  • calorie consumption RC 5647 kcal
  • time to exercise today 75 minutes
  • activity age 38 years old
  • the target activity age 51 set by the measurement subject may be displayed.
  • the CPU 10 acquires the predicted calorie consumption of the day from the past calorie consumption data of the measured person, calculates the activity age acquired from the predicted calorie consumption as the predicted activity age 54, and stores it in the area E3 of the memory 50. .
  • the activity calorie consumption calculation unit 13 receives the present day, that is, the request.
  • Calorie consumption (hereinafter referred to as calorie consumption TC) due to the activity up to the point in time.
  • the calorie consumption history data 58 in the area E3 of the memory 50 is searched based on the current time of the timer 90. And the total of the calorie consumption of each time after the present time is calculated from the search result, and the total calorie consumption is added to the calorie consumption TC.
  • the calorie consumption of the addition result indicates today's predicted calorie consumption.
  • the index acquisition unit 15 calculates the activity age from the predicted calorie consumption according to the above-described procedure. In this way, it is estimated how many years the activity age will be if it is spent today as it is from the average calorie consumption up to the previous day of the subject.
  • the estimated activity age represents the predicted activity age 54, is stored in the memory 50, is displayed on the display 20 by the index output unit 18, or is output from the audio output unit 80.
  • FIG. 10 shows a display example of the display 20 in this case.
  • the calorie consumption TC and the predicted activity age are displayed as 2647 kcal and 38 years, respectively.
  • the index acquisition unit 15 may acquire an index indicating how fast the subject is consuming calories with respect to the total calories consumed of the predicted activity age.
  • the index is output as an arrow mark 22 in FIG.
  • the standard total calorie consumption SC of the person of the predicted activity age is calculated from the acquired predicted activity age, the conversion table of FIG. And the calorie consumption until the present time in the case of the person is calculated. That is, the calorie consumption corresponding to the period from 7:00 to the current time is calculated from the period from 7:00 to 22:00, the current time counted by the timer 90, and the total calorie consumption SC.
  • the calculated calorie consumption (in this case, standard calorie consumption C1) and today's activity intensity data Mi of the measured person are calculated from today's 7:00 to the current time ( Here, it is compared with calorie consumption C2 on the way).
  • the index acquisition unit 15 outputs “exercise pace up” data when it is determined that the condition (C1> C2) is satisfied, and “exercise pace down” is determined when it is determined that the condition (C1 ⁇ C2) is satisfied. Output data.
  • the index output unit 18 outputs an upward arrow mark 22 based on the “exercise pace-up” output from the index acquisition unit 15, and prompts the subject to increase the exercise pace. Further, based on the outputted “exercise pace down”, a downward arrow mark 22 is outputted to urge the subject to reduce the exercise pace.
  • the direction of the arrow of the mark 22 may be determined by comparing the predicted activity age 54 with the target activity age 51 of the person being measured. In other words, when the predicted activity age 54 is higher than the target activity age 51, it may be directed upward to promote “exercise pace-up” so that the target can be achieved, and when it is low, advice may be made so as not to become too fast.
  • the activity amount in a certain time zone indicated by the calorie consumption history data 58 indicating the change in the past calorie consumption of the measured person is compared with the activity amount in the same time zone of today, and the index output unit 18 based on the comparison result, You may make it output the parameter
  • a display example on the display 20 by the index output unit 18 is shown in FIG. In FIG. 11, the current time (9:20), the calories burned up to the current time (647 kcal), the predicted activity age (38 years) described above, and the arrow mark 23 are displayed.
  • the index acquisition unit 15 calculates calories burned in the current time zone (9 o'clock time zone) from the activity intensity data Mi.
  • the calculated calorie consumption is compared with the current calorie consumption read from the calorie consumption history data 58 in the same time period.
  • the arrow of the mark 23 is upward, and when the condition of (calculated calorie consumption ⁇ read calorie consumption) is satisfied, the arrow of the mark 23 is downward.
  • an activity amount index indicating whether the calorie consumption in the time period to which the timer 90 times the current time period is greater or less than the average calorie consumption in the same past time period.
  • the above-described processing related to the index may be performed by the apparatus 200. That is, the apparatus 200 stores necessary data for the areas E2 and E3 in the memory 202, and receives the activity intensity data Mi from the pedometer 100. As a result, the CPU 201 calculates the activity age and various indices using the above-described calculation procedure using these data, and outputs them to the output unit 203 or transmits them to the pedometer 100 to display them on the display 20.
  • the activity intensity may be calculated using a heart rate detected from the measured person and a predetermined arithmetic expression instead of the method of calculating based on the body motion detected according to the acceleration signal described above.
  • the method for calculating and outputting the activity age described using the flowcharts described above can also be provided as a program.
  • a program for realizing the method is stored in advance in the memory 50 of the pedometer 100, and the CPU 10 reads the program from the memory 50 and executes the instruction code, thereby realizing the processing.
  • This program may be supplied by being downloaded to the memory 50 from an external information processing apparatus including the apparatus 200 via the communication I / F 60 via a communication line.
  • the apparatus 200 stores such a program and the data of FIG. 4 in the memory 202, and the CPU 201 reads out the program from the memory 202 and executes the instruction code so that the activity age is calculated in the apparatus 200. And may be displayed via the output unit 203.
  • the data in FIG. 4 is transmitted from the pedometer 100 to the device 200 via the communication I / F 60.
  • the activity age calculated by the device 200 may be transmitted to the pedometer 100 and displayed on the display 20.
  • the program includes a flexible disk (not shown) attached to the device 200, a CD-ROM 206, a ROM (Read Only Memory) of the memory 202, a RAM (Random Access Memory), a memory card, etc. It is provided to the apparatus 200 as a program product recorded on a computer-readable recording medium. Alternatively, the program can be provided by previously recording the program on a recording medium such as a hard disk (not shown) built in the apparatus 200. In addition, the program can be provided by downloading from another information processing apparatus to the apparatus 200 via the network.

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PCT/JP2011/077367 2011-03-01 2011-11-28 活動量計 Ceased WO2012117632A1 (ja)

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JP2011043762A JP5923857B2 (ja) 2011-03-01 2011-03-01 活動量計
CN201180068673.5A CN103402430B (zh) 2011-03-01 2011-11-28 活动量计和活动量管理系统
DE112011104986.2T DE112011104986T5 (de) 2011-03-01 2011-11-28 Aktivitätsmesser
US13/985,088 US8810410B2 (en) 2011-03-01 2011-11-28 Activity meter

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Families Citing this family (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010167275A (ja) * 2008-12-26 2010-08-05 Omron Healthcare Co Ltd 生体情報取得装置
US9092123B1 (en) * 2012-01-09 2015-07-28 Dp Technologies, Inc. Method and apparatus to provide movement-based analytics
JP6049424B2 (ja) * 2012-11-29 2016-12-21 豊田通商株式会社 活動量測定端末を用いた健康管理システム
JP6114918B2 (ja) * 2013-05-16 2017-04-19 株式会社タニタ 活動量計
US20160019360A1 (en) 2013-12-04 2016-01-21 Apple Inc. Wellness aggregator
US12080421B2 (en) 2013-12-04 2024-09-03 Apple Inc. Wellness aggregator
US10307086B2 (en) * 2014-02-17 2019-06-04 Hong Kong Baptist University Gait measurement with 3-axes accelerometer/gyro in mobile devices
JP6365003B2 (ja) * 2014-06-26 2018-08-01 オムロンヘルスケア株式会社 行動評価装置、行動評価方法、プログラム
AU2015312215B2 (en) 2014-09-02 2017-10-19 Apple Inc. Physical activity and workout monitor
US9691023B2 (en) * 2014-11-30 2017-06-27 WiseWear Corporation Exercise behavior prediction
JP2016142415A (ja) * 2015-01-29 2016-08-08 株式会社東芝 空調制御装置、サーバ装置、空調制御システム、空調制御方法、および空調制御プログラム
EP4327731A3 (en) 2015-08-20 2024-05-15 Apple Inc. Exercise-based watch face
DK201770423A1 (en) 2016-06-11 2018-01-15 Apple Inc Activity and workout updates
US11216119B2 (en) 2016-06-12 2022-01-04 Apple Inc. Displaying a predetermined view of an application
US10736543B2 (en) 2016-09-22 2020-08-11 Apple Inc. Workout monitor interface
JP2017042627A (ja) * 2016-11-22 2017-03-02 豊田通商株式会社 活動量測定端末を用いた健康管理システム
US11399765B2 (en) * 2017-02-16 2022-08-02 Panasonic Intellectual Property Management Co., Ltd. Dementia information output system and recording medium
WO2018173401A1 (ja) * 2017-03-21 2018-09-27 ソニー株式会社 情報処理装置、情報処理方法及びプログラム
US10845955B2 (en) * 2017-05-15 2020-11-24 Apple Inc. Displaying a scrollable list of affordances associated with physical activities
DK180246B1 (en) 2018-03-12 2020-09-11 Apple Inc User interfaces for health monitoring
WO2019191980A1 (zh) * 2018-04-04 2019-10-10 深圳市沃特沃德股份有限公司 运动数据处理方法、装置和计算机设备
US11317833B2 (en) 2018-05-07 2022-05-03 Apple Inc. Displaying user interfaces associated with physical activities
DK201870378A1 (en) 2018-05-07 2020-01-13 Apple Inc. DISPLAYING USER INTERFACES ASSOCIATED WITH PHYSICAL ACTIVITIES
DK201970532A1 (en) 2019-05-06 2021-05-03 Apple Inc Activity trends and workouts
WO2020247261A1 (en) 2019-06-01 2020-12-10 Apple Inc. Multi-modal activity tracking user interface
DK202070613A1 (en) 2020-02-14 2021-10-15 Apple Inc User interfaces for workout content
US12232878B1 (en) 2020-08-01 2025-02-25 Apple Inc. Atrial fibrillation user interfaces
EP4550349A3 (en) 2021-05-15 2025-07-02 Apple Inc. User interfaces for group workouts
USD961428S1 (en) * 2021-09-14 2022-08-23 Can Liu Pedometer
CN114034311A (zh) * 2021-11-01 2022-02-11 苏州市春菊电器有限公司 一种用于吸尘器的计步系统及其计步方法
US11977729B2 (en) 2022-06-05 2024-05-07 Apple Inc. Physical activity information user interfaces
US11896871B2 (en) 2022-06-05 2024-02-13 Apple Inc. User interfaces for physical activity information
CN115040116A (zh) * 2022-08-01 2022-09-13 上海探寻信息技术有限公司 一种穿戴设备活动量监测的方法及装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010167275A (ja) * 2008-12-26 2010-08-05 Omron Healthcare Co Ltd 生体情報取得装置
JP2010253204A (ja) * 2009-04-28 2010-11-11 Tanita Corp 身体活動検出装置

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3498360B2 (ja) * 1994-05-30 2004-02-16 カシオ計算機株式会社 測定装置
US6010452A (en) * 1998-08-24 2000-01-04 Fitnessage, Inc. Article, system and method for determining a fitness age for an individual
CA2387124A1 (en) * 1999-10-08 2001-04-26 Healthetech, Inc. Integrated calorie management system
JP3571272B2 (ja) * 2000-03-14 2004-09-29 エスペック株式会社 運動カロリー測定方法及び装置
US6902513B1 (en) * 2002-04-02 2005-06-07 Mcclure Daniel R. Interactive fitness equipment
US7273453B2 (en) * 2004-04-12 2007-09-25 Frank Shallenberger Method for analyzing the biological age of a subject
JP4552667B2 (ja) 2005-01-26 2010-09-29 パナソニック電工株式会社 活動量計
CN100409809C (zh) * 2004-07-21 2008-08-13 松下电工株式会社 体力活动测量系统
JP5531227B2 (ja) 2008-06-09 2014-06-25 株式会社タニタ 行動判定装置
WO2009152608A1 (en) * 2008-06-16 2009-12-23 Mytrak Health System Inc. Mobile fitness and personal caloric management system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010167275A (ja) * 2008-12-26 2010-08-05 Omron Healthcare Co Ltd 生体情報取得装置
JP2010253204A (ja) * 2009-04-28 2010-11-11 Tanita Corp 身体活動検出装置

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CN103402430A (zh) 2013-11-20
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US20130325358A1 (en) 2013-12-05
DE112011104986T5 (de) 2014-01-16
JP5923857B2 (ja) 2016-05-25
JP2012179218A (ja) 2012-09-20
US8810410B2 (en) 2014-08-19

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