JPH10318779A - Motion level chronological storage device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To achieve a long-term time storage by determining the motion level of a body at each short time being set in a first specific range and its representative value at each time being set in a second specific range and storing the representative value of the motion level. SOLUTION: A motion level chronological storage device 1 has, for example, a one-chip microcomputer 2, an acceleration sensor 3, a memory 5, and a liquid crystal display 6. Then, when it is mounted, for example, on the waist of a body and walking is recognized, an output voltage from the acceleration sensor 3 is sampled by a microcomputer 2 and is classified, for example, by four threshold levels. The threshold is processed in a specific method, for example, at each four seconds ranging from 1.5 to 10 seconds and the motion level within that time is determined. The value is processed by a specific algorithm, for example, at each two minutes that exceed one minute and is stored in a memory 5 as the representative value of the motion level. Based on the stored data, display onto a liquid crystal display 6 and transmission to a personal computer 10 by optical communication are performed.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an exercise level temporal storage device for obtaining data for providing lifestyle improvement guidance to lifestyle-related disease patients and their spare groups.

[0002]

2. Description of the Related Art In Japan, the number of patients suffering from lifestyle-related diseases such as diabetes has been increasing year by year due to lifestyles such as gastronomy, overeating, and lack of exercise. Against this background, it has been pointed out that the importance of health promotion education and guidance for improving lifestyle is as important as early detection and treatment of disease. It is important that health promotion education not only convey knowledge, but also guide it in improving behavior. Specifically, exercise is the most important factor in the prevention of lifestyle-related diseases, and it is clear from past epidemiological studies and the like that health and exercise are inseparably linked.

Conventionally, as a means for evaluating exercise, that is, physical activity, there is an action recording method of recording the contents of an action in a record table, and a pedometer. In the behavior recording method, after writing the contents of one's own behavior at any time in a record table, a life improvement instructor interviews the person himself, confirms the recorded contents, and then calculates the energy consumption from the exercise intensity for each behavior and the time. It has been calculated. In addition, the pedometer grasps the number of steps and energy consumption at an arbitrary time such as a day.

[0004]

In the former action recording method as the conventional physical activity evaluation means, since the recording of the action itself interferes with daily life, the former method is not recorded, and the latter is not recorded. There is a case where a user writes a summary by tracing a memory, and in this case, it tends to record only impressive actions, so that there is a lack of accuracy and a problem of continuity. On the other hand, the latter pedometer can only grasp the number of steps and energy consumption at an arbitrary time such as one day, such as a change over time during the implementation time, how much exercise and how long. The quality of so-called physical activity cannot be grasped. Physical activities that cannot be interpreted as walking cannot be evaluated. As described above, it is extremely difficult for the conventional means for evaluating physical activity to accurately grasp changes over time in physical activity, and there is a limit to a life improvement instructor providing appropriate guidance to individuals.

[0005] Therefore, in the present invention, the exercise level can be stored over a long period of time with a small storage capacity and with a small storage capacity, without much awareness of the consumer. It is an object to provide a storage device.

[0006]

According to a first aspect of the present invention, an exercise level temporal storage device detects a physical activity and outputs an activity detection signal corresponding to the activity, based on the activity detection signal. Means for determining the exercise level of the body for each set short time from 1.5 seconds to 10 seconds; means for determining a representative value of the exercise level for each set time of 1 minute or more; And means for storing the representative value over time.

According to a second aspect of the present invention, in the exercise level temporal storage device according to the first aspect of the present invention, there is provided means for calculating an exercise amount based on an exercise intensity which is a reference when the exercise level is determined.

According to a third aspect of the present invention, there is provided the exercise level temporal storage device according to the first or second aspect of the present invention, wherein calendar data is incorporated, and physical activity such as exercise intensity and exercise level for each same day of the week for a plurality of weeks. Means for grouping and displaying data relating to

According to a fourth aspect of the present invention, there is provided the exercise level temporal storage device according to the first, second or third aspect of the present invention, wherein the stored data relating to the physical activity such as the exercise intensity and the exercise level is externally transmitted by optical communication. An optical communication unit capable of transmitting data to an analysis processing device or the like is provided.

According to the exercise level temporal storage device of the first aspect of the present invention, based on the activity detection signal output from the means for detecting the activity of the body, the activity of the body is divided into, for example, four levels of the activity level. Classified either. For example, when the representative value of the exercise level is determined every set time of 2 minutes, the representative value of the exercise level is sequentially stored. Therefore, the physical activity data corresponding to the activity detection signal detected in real time is compressed in the process of being classified into the exercise level for each set short time, and the representative value is determined for each set time from the compressed exercise level. Since the data is stored at the stage where the data is stored, data for grasping the temporal change of the physical activity can be stored over a long period of time even with a small storage capacity.

According to the exercise level temporal storage device of the second aspect of the present invention, it is possible to recognize the amount of exercise accompanying physical activity, that is, calories and the like.

[0012] According to the exercise level temporal storage device of the third aspect of the present invention, it is possible to easily recognize the tendency of the physical activity on which day of the week or the lack of physical activity on which day of the week. it can.

According to the exercise level temporal storage device according to the fourth aspect of the present invention, when the stored data relating to the physical activity is transmitted to an external analysis processing device or the like, the data can be transmitted by optical communication. Such operations are unnecessary, and data transmission becomes easy.

[0014]

Next, an embodiment of the present invention will be described. FIG. 1 is a block diagram showing a configuration of the exercise level temporal storage device. As shown in FIG. 1, the exercise level temporal storage device 1 comprises a one-chip microcomputer 2
The acceleration associated with physical activity such as walking is detected on the input side of the one-chip microcomputer 2 with
An acceleration sensor 3 that outputs a voltage proportional to the acceleration is connected. Although not shown, an A / D converter is provided between the acceleration sensor 3 and the one-chip microcomputer 2.
Connected. An operation switch 4 is connected to the input side of the one-chip microcomputer 2.
The operation switch 4 is used to input the day of the week, date and time, and time of the physical activity measurement start date, sex, age, height, and weight, to start the measurement of physical activity, and to output measurement data. -Operated when the mode is switched. For this reason, calendar data is stored in the one-chip microcomputer 2.

The memory 5 stores the exercise level and the like, which will be described later, determined by the one-chip microcomputer 2 over a long period of time. In addition, the liquid crystal display 6 displays various data relating to physical activity, as described later.
To display the data.

The communication I / O 7 communicates an optical signal between the optical communication device 8 of the exercise level temporal storage device 1 and the optical communication device 9 of the personal computer 10 used as an external analysis processing device. The various data stored in the memory 5 of the exercise level temporal storage device 1 are stored in the personal computer 1.
This is a communication interface for transmitting data to 0.
A printer 11 is connected to the personal computer 10, and prints out various data transmitted to the personal computer 10 and a result of physical activity analysis based on the data. Can be done.

The exercise level temporal storage device 1 includes a one-chip microcomputer 2, an acceleration sensor 3, an operation switch 4, a memory 5, a liquid crystal display 6, a communication I / O 7, an optical communication device 8, and the above-mentioned not shown. An A / D converter and a battery serving as a power supply are compactly incorporated in one case. Therefore, even if this exercise level temporal storage device 1 is attached to the lower back of the body, it is possible to measure physical activity such as walking without being bothered.

Next, the operation of the exercise level temporal storage device 1 will be described. First, an operation for recognizing walking as physical activity will be described. FIG. 2 is a flowchart for the one-chip microcomputer 2 to recognize walking as physical activity. FIG. 3 is an explanatory diagram of data sampling for recognizing walking. When walking is started and a voltage proportional to the acceleration accompanying walking is output from the acceleration sensor 3 in real time, the one-chip microcomputer 2 samples the output voltage. This sampling period is 32H as shown in FIG.
z (every 31.25 msec).

In FIG. 3, THs 1, 2, 3, and 4 are "thresholds" for dividing the voltage output from the acceleration sensor 3 into four stages. TH1 serves as a criterion for determining a minute movement such as sleep or sitting, and TH2 serves as a reference value for recognizing the number of steps. Also, TH3 is a criterion for determining whether to walk normally or go down stairs,
H4 is a criterion for running slowly and walking fast. The sampling period counter is 31.25.
Each time the voltage output from the acceleration sensor 3 is sampled at m-second intervals, 1 is added. Note that the voltage output from the acceleration sensor 3 along with walking changes positively and negatively. The flag indicates that the voltage output from the acceleration sensor 3 is T
It is set to 1 when the value changes from a value higher than H2 to a value equal to or less than TH2, and becomes 0 when the value again becomes higher than TH2.

In step S1 of FIG. 2, 31.25
The sampling of the sensor voltage output from the acceleration sensor 3 is started at m-second intervals. In step S2, 1 is added to the sampling cycle counter in the one-chip microcomputer 2. In step S3, every time the maximum value of the sensor voltage (absolute value) is updated, the value is stored.

In step S4, the sensor voltage is
It is determined whether it is H1 or more. If it is determined that it is not less than TH1, it is determined whether or not the flag is 1 in step S5. On the other hand, if it is determined that it is not equal to or greater than TH1, the process proceeds to step S10. If it is determined in step S5 that the flag is 1, the process proceeds to step S6,
If it is determined that the flag is not 1, return is made. In step S6, it is determined whether or not the count number of the sampling cycle counter is in the range of 6 to 50. If it is determined that the counted number is in the range of 6 to 50, it is recognized that the user has walked one step, and the process proceeds to step S7. If it is determined that the count is not within the range, the process proceeds to step S8.

After adding 1 to the step counter in the one-chip microcomputer 2 in step S7, the sampling cycle counter is cleared to zero in the next step S8. Then, in step S9, the flag is set to zero.

If it is determined in step S4 that the sensor voltage is not equal to or higher than TH1, it is determined in step S10 whether the sensor voltage is equal to or lower than TH2. If it is determined that the sensor voltage is equal to or lower than TH2, the flag is determined in step S11. Set to 1 and return. If it is determined in step S10 that the difference is not equal to or less than TH2, return is made.

As described above, if the sensor voltage is higher than TH1 and the flag is 1 during one cycle of walking, and the count number of the sampling cycle counter is 6 or more and 50 or less during one cycle of walking, the walking is performed. Recognize. If the second step is not recognized within 1.5 seconds after the recognition of the first step, it is regarded as erroneous recognition or noise, and 1
Minus.

FIG. 4 shows a one-chip microcomputer 2
Is a flowchart showing processing performed at intervals of 4 seconds.
As described above, the one-chip microcomputer 2 has the configuration shown in FIG.
In addition to performing walking recognition according to the flow shown in (1), the exercise intensity associated with walking is determined at 4-second intervals. When determining the exercise intensity associated with walking, a determination table as shown in FIG. 5 is used. As shown in FIG. 5, the number of steps in four seconds is, for example, eight,
If the maximum value of the sensor voltage during that period corresponds to the above-mentioned TH3, the exercise intensity is obtained from this table. In this way, the exercise intensity is divided into 10 levels from 0 to 9.

As shown in step S1 of FIG. 4, the exercise intensity is determined based on the determination table from the maximum value of the sensor voltage for 4 seconds and the number of steps counted by the step counter. In step S2, it is determined whether or not the exercise intensity is zero. As a result of the determination, if the exercise intensity is not 0, the process proceeds to step S3, while if the exercise intensity is 0, the process proceeds to step S12.

If it is determined in step S2 that the exercise intensity is not zero, in step S3, the amount of exercise for 4 seconds is obtained from the exercise intensity. The following equation is used to determine this momentum. Exercise amount = Ka × weight (Kcal / 4 seconds) Here, Ka is a constant determined for each exercise intensity. The one-chip microcomputer 2 has an exercise intensity of 0
9) Exercise intensity-based time counters for measuring the respective times are provided, and in step S4, 4 seconds are added to the corresponding exercise intensity time.

In step S5, it is determined whether the exercise intensity during the last 4 seconds is also 1 or more. If it is 1, the one-chip microcomputer 2 is determined in step S6.
For 4 seconds. On the other hand, if the exercise intensity in the last 4 seconds is not 1 or more, the process proceeds to step S7.

In step S7, the number of steps counted by the above-mentioned step counter (see step S7 in FIG. 2) is added to the cumulative walking counter in the one-chip microcomputer 2. In step S8, the basal metabolic rate for 4 seconds is calculated. The basal metabolic rate is calculated based on the height, weight, sex, etc. of the person input by the operation switch.

In step S9, the total calorie is counted by the total calorie counter in the one-chip microcomputer 2.
Is accumulated. Then, in step S10, the current exercise intensity is classified into exercise levels. At this time, the exercise intensity is classified into exercise levels as follows. Exercise intensity Exercise level 0 (Sleep) 0 0 (Small motion such as rest, sitting, etc.) 1 1-5 (Slow walking, normal walking, steep walking) 2 6-9 (Running) 3

Next, in step S11, the sensor maximum voltage and the number of steps counter are cleared to zero, and then return is made.

On the other hand, if it is determined in step S2 that the exercise intensity is zero, the flow advances to step S12 to determine whether or not the minute exercise has occurred within the immediately preceding required time. If it is determined that there is this minute movement, step S
After adding the minute momentum to step S13,
Proceed to 4. If it is determined in step S12 that there is no minute movement within the immediately preceding required time, the process directly proceeds to step S14.

In step S14, it is determined whether or not the previous exercise intensity is also zero. When it is determined that the previous exercise intensity is not zero, in step S15, the walking duration of the walking duration counter is 2 minutes or less, more than 2 minutes, 6 minutes or less, more than 6 minutes, 10 minutes or less, and more than 10 minutes. Of 4
After recognizing which time zone the stage belongs to and counting the corresponding time zone by the walking time zone counter in the one-chip microcomputer 2, the process proceeds to step S16. On the other hand, if it is determined in step S14 that the previous exercise intensity is also zero, the process directly proceeds to step S16. In step S16, the count value of the walking continuation counter is set to zero, and then the process proceeds to step S8.

As described above, the one-chip microcomputer 2 determines the exercise intensity every four seconds, calculates the calorie including the amount of exercise and basal metabolism in four seconds, and further calculates the accumulated time for each exercise intensity. Count. In addition, a cumulative count of the total calories from the start of walking and the walking continuation time zone is performed. In addition, the exercise intensity is classified into the exercise levels.

The count values of the exercise-intensity-based time counter, the cumulative walking counter, and the walking time zone counter are stored in the memory 5 and are cleared to zero every 24 hours.

As described above, the one-chip microcomputer 2 classifies the exercise intensity into the above-mentioned exercise level every four seconds, and selects a representative value of the exercise level every two minutes. The selection of the representative value of the exercise level is performed as follows. Looking at the exercise level classified every 4 seconds every 2 minutes, level 0,
Of the levels 2 and 3 excluding the level 1, the one having a higher occurrence frequency is set as a representative value of the exercise level every two minutes. If both the levels 2 and 3 have the same occurrence frequency, the level 3 is set as the representative value. If there is no level 2 or level 3, look at level 0 and level 1 and if level 1 exists, level 1 is set as the representative value. The representative value is stored in the memory 5.

The algorithm for selecting the representative value of the exercise level is specifically as follows. (High priority) First, determine whether there is exercise or not,
If there is exercise, the level with the highest frequency of the levels 2 and 3 is adopted, and if the frequency is the same, the level 3 is adopted. Next, if there is no movement, it is determined whether or not there is a minute movement. If there is a minute movement, Level 1 indicating that there is a minute movement is adopted. (Low priority) Next, if there is no minute movement, sleep, that is, level 0 is adopted.

As described above, the one-chip microcomputer 2 stores the representative value of the exercise level in the memory 5 every two minutes. Therefore, even if the storage capacity of the memory 5 is small, the exercise level and the like for a long time can be obtained. Data can be stored.

The memory 5 has a capacity to store data such as the exercise level for at least one month. Further, the one-chip microcomputer 2 is configured to calculate the number of walks per day, for example, the average number of walks per day of the total number of walks in one month, the walking time, and the walking speed based on the data on the walking. For example, the liquid crystal display 6 is programmed to display the day when the maximum value of the number of walks is shown and the day when the minimum value is shown.

Also, a one-chip microcomputer 2
For example, the liquid crystal display 6 can display, for example, the average value of the total caloric amount and the amount of exercise on a daily basis during one month, and the data indicating the maximum value and the minimum value. Be programmed.

FIGS. 6 to 11 show various data displayed on the liquid crystal display 6 by switching the operation mode of the operation level switch of the exercise level temporal storage device 1. FIG. FIG.
Number of walks, walking time, walking speed, total consumption (total calorie), for 26 days from March 25 to April 24,
And a list of the average values of the amount of exercise for 26 days, and the data of the maximum number of walks (April 16) and the minimum number of days (April 20).

FIG. 7 shows the transition of the number of walks by date. FIG. 8 shows the exercise intensity (physical activity intensity) 2.
It shows the average value distribution for 6 days, distribution data of the maximum day (April 16), and the minimum day (April 20). FIG. 9 shows four steps of walking duration (2 minutes or less, 2 minutes or more, 6 minutes or less, 6 minutes or more, 10 minutes or less, and 10 minutes or more.
It shows the average distribution data of the day, and the distribution data of the maximum day (April 16) and the minimum day (April 20).

FIG. 10 shows the daily fluctuation of the exercise level on April 16 and April 20. The scale of the exercise level on the vertical axis is up to 4, but in the present invention, 3 is the upper limit. FIG. 11 shows the number of walks for each day from March 25 to April 24, grouped by day of the week. With this display, the number of walks is large on which days, and It is possible to grasp the tendency such as whether the number of walking is insufficient. In addition, the grouping display by day of the week is not limited to the number of walks, and the grouping display can also be performed based on the exercise intensity distribution, the walking continuation time zone distribution, and the like.

As described above, the exercise level temporal storage device 1 can display data relating to the improvement of life for each individual based on the contents stored in the memory 5. This memory 5
The data stored in the personal computer 10 can be transmitted to the personal computer 10 by optical communication between the optical communication device 8 and the optical communication device 9 on the personal computer 10 side. Then, the personal computer 10 can provide information on the improvement of life to the individual by performing a detailed analysis based on the various data transmitted. The printer 11 can print out the data shown in FIGS. 6 to 11 as well as more detailed life improvement data analyzed by the personal computer 10.

[0045]

According to the first aspect of the present invention, there is an effect that data for grasping temporal changes in physical activity can be stored for a long period of time even with a small storage capacity.

According to the second aspect of the present invention, there is an effect that the amount of exercise associated with physical activity, that is, calories can be recognized.

According to the third aspect of the present invention, there is an effect that it is possible to easily recognize the tendency of the physical activity on which day of the week or the lack of physical activity on which day of the week.

According to the fourth aspect of the present invention, when transmitting the stored data relating to the physical activity to an external analysis processing device or the like, it can be performed by optical communication, so that work such as connection of electric wires is not required. This has the effect of facilitating data transmission to the outside.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of an exercise level temporal storage device.

FIG. 2 is a block diagram for recognizing walking by an exercise level temporal storage device.

FIG. 3 is an explanatory diagram of data sampling for recognizing walking.

FIG. 4 is a flowchart showing processing performed by a one-chip microcomputer at intervals of 4 seconds.

FIG. 5 is an exercise intensity conversion table.

FIG. 6 is a list display diagram of data relating to physical activity.

FIG. 7 is a view showing a transition of the number of walks by date.

FIG. 8 is an exercise intensity distribution display diagram.

FIG. 9 is a view showing a walking duration distribution.

FIG. 10 is a display diagram of exercise level daily fluctuation.

FIG. 11 is a grouping display diagram by day of the week for the number of walks of each day.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Motion level temporal storage device 2 1-chip microcomputer 3 Acceleration sensor 4 Operation switch 5 Memory 6 Liquid crystal display 7 Communication I / O 8 Optical communication device

Claims (4)

[Claims] 1. A means for detecting an activity of a body and outputting an activity detection signal corresponding to the activity, and a motion of the body every set time from 1.5 seconds to 10 seconds based on the activity detection signal. Means for determining a level, means for determining a representative value of the exercise level for each set time of 1 minute or more, and means for storing the representative value of the exercise level over time. Exercise level over time storage device. 2. The exercise level temporal storage device according to claim 1, further comprising means for calculating an exercise amount based on an exercise intensity which is a reference when determining the exercise level. 3. The system according to claim 1, further comprising means for incorporating calendar data and displaying grouping data on physical activity such as exercise intensity and exercise level for each same day of the week for a plurality of weeks. Item 3. The exercise level temporal storage device according to item 1 or 2. 4. An optical communication device according to claim 1, further comprising an optical communication means capable of transmitting stored data relating to physical activity such as exercise intensity and exercise level to an external analysis processing device or the like by optical communication. An exercise level temporal storage device as described.