JP2023159296A - Electronic apparatus and program - Google Patents

Abstract

To provide a system, an electronic apparatus, and a program that make it possible to compare a self exercise state with an ideal exercise state corresponding to a target training level and to perform overall evaluation via a single training.SOLUTION: A cycle computer comprises a control unit, a sensor reception unit, a display unit 10, and the like. The sensor reception unit receives data transmitted from a heart beat sensor worn by a user. The control unit: stores the data from the heart beat sensor with a lapse time of exercise; calculates a heat beat distribution over the whole transit time on the basis of the stored maximum number of heat beats and the stored minimum number of heart beats; and displays the user's heat beat distribution and ideal heat beat distribution so that the distributions are comparable. The control unit further derives a stored lactic acid value on the basis of exercise intensity and exercise time and displays the value on the display unit.SELECTED DRAWING: Figure 30

Description

The present invention relates to a system, an electronic device, and a program.

2. Description of the Related Art Conventionally, cycle computers (hereinafter referred to as "cycle computers") that can be attached to a bicycle and measure the speed, mileage, etc. of the bicycle are known. A speedometer is a type of speedometer, but in addition to mileage, total distance, running time, and cadence, there are also multifunctional ones that can measure heart rate, calories burned, and more. Therefore, athletes who are active in road competitions, for example, attach such multifunctional bicycles to their bicycles and perform various training programs while monitoring their own exercise conditions. For example, an optimal exercise amount setting device is known that measures the pulse (also called heartbeat) of a person riding a bicycle, compares it with an optimal pulse range, and displays the measured pulse (see, for example, Patent Document 1).

Athletes who are active in road sports require a training plan that focuses on their individual abilities and the unique characteristics of each athlete, and includes ability development and diagnosis. Furthermore, it is important to be aware of the purpose of training and to conduct it systematically. In other words, it is desirable to perform only the desired training, rather than performing a variety of training at once. Therefore, athletes need to understand their own exercise status according to their desired training level.

Japanese Patent Application Publication No. 7-17461

However, the optimal exercise amount setting device described in Patent Document 1 only measures the reference pulse rate of the exerciser, calculates and displays the optimal pulse range according to the gender and age of the exerciser from the reference pulse rate. In some cases, the pulse rate range was not optimal for the exerciser's desired training level.

In addition, in road competitions, it is common to run around a track or a predetermined course, but the exercise state of the athlete in the total running time from the start to the stop varies depending on the type of training level. Each one is different. For example, at an aerobic exercise level, the range of heartbeats in the total running time is wide and ideally low, generally in the low 120s (beats/min). On the other hand, at the training level of anaerobic exercise, the range of heartbeats that account for the total running time is narrow, and ideally the overall range is high, in the upper 180s (beats/min). However, with the above device, it is only possible to compare the current pulse rate with the optimal pulse rate range according to gender, age, and reference pulse rate, and it is not possible to make a comprehensive judgment over the entire running time from the start of the run to the present. could not.

An object of the present invention is to provide a system, electronic device, and program that can compare one's own exercise state with an ideal exercise state according to the desired training level and that can comprehensively evaluate one training session. It is to provide.

The system according to the first aspect of the present invention acquires exercise information that is information about the current exercise state of a bicycle driver, and uses the acquired exercise information to train the bicycle driver stored in advance in a first storage unit. The first storage section includes a control means for outputting a result of comparison with ideal exercise information that is information on an ideal exercise state according to the level, and the first storage section stores one cycle of cycling as the ideal exercise information. The ideal exercise information that occupies the total running time is stored in a specifiable manner for each of the plurality of training levels, and the control means, based on the acquired exercise information, stores the acquired exercise information that occupies the current training time and the The present invention is characterized in that the ideal exercise information corresponding to a training level selected by the driver from a plurality of training levels is read from the first storage section and outputted so that the driver can compare the information.

According to the first aspect, the driver can compare his or her own exercise state with an ideal exercise state corresponding to the training level that the driver is aiming for. There are various training levels for cycling, such as an aerobic exercise level and an anaerobic exercise level. The ideal exercise state differs depending on these levels. In this aspect, whether or not the driver's own exercise state matches the ideal exercise state can be outputted in a manner that can be compared with the ideal exercise state according to the driver's training level.

In this aspect, in particular, in order to manage the exercise state for each training session, the first storage section stores information on the ideal exercise state that occupies the entire bicycle riding time for each of a plurality of training levels. are doing. The driver can compare the information on the exercise state that occupies the current training time with the ideal exercise information read out from the first storage unit. Therefore, for example, it is possible to recognize how far the current training level is from the ideal exercise state, and how to approach the ideal exercise state.

If the user is currently training, the exercise state that occupies the training time from the start of running to the present time can be compared with ideal exercise information. This allows you to understand in real time how you can get closer to your ideal exercise state during training. You can also compare it to your ideal exercise state even after you finish your current training session. In that case, the current training can be comprehensively evaluated, which can be used as an effective basis for making decisions when planning the next training plan.

Further, in the first aspect, the first storage unit includes, as the ideal exercise information, ideal distribution information that is information on the distribution of exercise states that occupy one total bicycle riding time, specified for each of the plurality of training levels. Based on the acquired exercise information, the control means creates exercise distribution information that is information on the distribution of the exercise states occupying the current training time, and the control means creates exercise distribution information that is information on the distribution of the exercise states occupying the current training time, and selects the exercise distribution information from the plurality of training levels by the driver. The ideal distribution information corresponding to the trained training level is read out from the first storage unit, and the created exercise distribution information and the read ideal distribution information are controlled to be outputted so that the driver can compare them. It is better to make it . Since you can see the distribution of the exercise state that occupies the current training time, you can specifically know how much exercise you were doing throughout the training. Furthermore, by comparing the distribution with the ideal state of motion, it is possible to determine whether the state of motion is excessive or insufficient. If you are in the middle of training, it can also be used as a guideline when adjusting your pacing.

Furthermore, the distribution of exercise states in the total bicycle riding time differs depending on the training level. In this aspect, in order to have the driver concentrate on the training level with a clear purpose, the distribution of exercise states that occupy the current training time is compared with the ideal distribution of exercise states that matches the training level. Output. This makes it possible to make the driver aware of the purpose of the training and to train the driver in a systematic manner.

Further, in the first aspect, the control means presents operation information to the driver for selecting at least one training level from the plurality of training levels, and the driver operates the operation unit based on the operation information. Preferably, the ideal exercise information corresponding to the selected training level is acquired from the first storage unit, the acquired exercise information is compared with the ideal exercise information, and a result is output. Since operation information for selecting a training level is presented to the driver, the driver can freely select the training level that he/she desires. Ideal exercise information is stored in the first storage unit for each of a plurality of training levels, and ideal exercise information corresponding to the training level selected by the driver is acquired. This allows output to be compared with the ideal exercise state according to the driver's training level.

Further, in the first aspect, the control means compares the exercise information with the ideal exercise information, and when the exercise information does not match the ideal exercise information, the control means makes the exercise information closer to the ideal exercise information. It is preferable to perform control to output support information that is information about the user. Since assistance information is output when the exercise information does not match the ideal exercise information, the driver can bring his own exercise state closer to the ideal exercise state by following the assistance information. When a driver is concentrating on training, it is often difficult to judge whether the driver's current state of exercise is excessive or insufficient. Since the driver can understand his/her own situation using the support information, appropriate training can be carried out. Furthermore, the driver can maintain motivation by using the support information as encouragement.

Further, in the first aspect, it is preferable that the control means performs control to readably store the acquired exercise information in a second storage unit. Since the acquired exercise information is stored in the second storage unit, training analysis can be performed by reading out the exercise information stored in the second storage unit, for example, after training is completed.

Further, in the first aspect, it is preferable that the control means performs control to compare the acquired exercise information with past exercise information stored in the second storage unit and output the result. Since the acquired current exercise information can be compared with the past exercise information stored in the second storage unit and the result can be output, it is possible to easily determine whether or not the exercise ability has improved compared to the past. Furthermore, by using past exercise information as a pacemaker, it is possible to further improve exercise ability. Furthermore, by setting past exercise information as a goal, the driver's motivation can be stimulated.

Further, in the first aspect, the control means has a characteristic that the past exercise information stored in the second storage unit includes at least one of a cumulative value, an average value, an upper limit value, and a lower limit value for each predetermined period. It is preferable to perform control to calculate the information and store it in a readable manner in the third storage section. As the past exercise information, feature information including at least one of the cumulative value, average value, upper limit value, and lower limit value of the exercise information is calculated for each past predetermined period and is stored in the third storage unit. This allows the driver to understand the characteristics of past exercise information, so that, for example, the driver can clearly understand how much his or her own exercise ability has improved or declined.

Further, in the first aspect, it is preferable that the control means generates graph information indicating a change in the exercise information over time based on the acquired exercise information, and performs control to output the graph information. By visually showing changes in motion information over time in a graph, the driver can quickly understand how the motion state is changing over time. Particularly for drivers who are training, since they can visually recognize their own motion state, it is possible to intuitively judge their own motion state.

In the first aspect, the control means reads ideal graph information based on the ideal exercise information read from the first storage unit and the exercise information stored in the second storage unit, Preferably, current graph information indicating a change in the exercise information is created, and control is performed to output the ideal graph information and the current graph information so that the driver can compare them. By creating ideal graph information and current graph information and outputting them so that the driver can compare them, it is possible to visually compare the current motion state with the ideal motion state. Therefore, even a driver undergoing training can make a specific judgment on how to adjust the amount of exercise to bring it closer to the ideal.

Further, in the first aspect, the control means includes a communication unit capable of transmitting and receiving data to and from another electronic device, and the control means combines the acquired exercise information of the driver with exercise information of another driver received at the communication unit. It is better to perform a control that compares and outputs the results. The communication unit can receive exercise information of other drivers from other electronic devices. Since the received exercise information of other drivers can be compared with the own exercise information and output, the exercise state of the other driver can be grasped and compared with one's own exercise state. Also, by understanding the physical conditions of other drivers, the competitive spirit can be ignited and motivation can be stimulated. Furthermore, by understanding the exercise status of other drivers, it is possible to make strategic decisions such as where to attack in situations such as race training.

Further, in the first aspect, the exercise information includes at least heartbeat information of the driver, and the ideal exercise information includes an ideal distribution of heartbeats in one total bicycle riding time in the first storage unit. Ideal heart rate distribution information shown in a graph is stored for each of the plurality of training levels, and the control means shows, in a graph, the distribution of heartbeats in the current training time based on the acquired heart rate information of the driver. the driver's heart rate distribution information that has been created by reading the ideal heart rate distribution information corresponding to the training level selected by the driver from the plurality of training levels from the first storage unit; Preferably, control is performed to compare and output the ideal heart rate distribution information read from the first storage unit.

The ideal heartbeat distribution information is a graph showing the ideal distribution of heartbeats in the total bicycle riding time. In this aspect, heartbeat distribution information is created that is a graph of information on the distribution of heartbeats occupying the current training time, and is compared with the ideal heartbeat distribution information read from the first storage unit and output. Since heart rate clearly reflects the driver's exercise status, it is possible to determine whether the driving pace during this training session is excessive or insufficient. Regarding such heartbeats, the heartbeat distribution information created in this training will be compared with the ideal heartbeat distribution information. This allows the driver to objectively judge his or her own condition by comparing it with the ideal condition. Furthermore, while training, you can clearly understand whether your current pace distribution matches or deviates from your ideal pace. By adjusting the pace so that the current heart rate distribution information matches the ideal heart rate distribution information, it is possible to naturally approach the ideal exercise state according to the training level.

Further, in the first aspect, the control means acquires maximum heart rate information that is information on the maximum heart rate of the driver, and based on the acquired maximum heart rate information, the control means stores the ideal heart rate stored in the first storage unit. It is preferable to perform control to correct the heart rate distribution information. The maximum heart rate varies depending on the person's basic physical fitness. In this aspect, since the ideal heart rate distribution information can be corrected based on the maximum heart rate information, it can be compared with the ideal heart rate distribution information that reflects the driver's basic physical strength. Therefore, realistic training goals suitable for the driver's basic physical strength can be presented to the driver.

Further, in the first aspect, the control means is arranged such that a ratio of reference heart rate information, which is information about a heartbeat that accounts for the highest proportion of the total bicycle riding time, to a predetermined value with respect to the maximum heart rate information. , it is preferable to perform control to correct the ideal heart rate distribution information. Thereby, the ideal heart rate distribution information can be appropriately corrected depending on the magnitude of the maximum heart rate. The maximum heart rate varies depending on the basic physical strength of each driver. Therefore, ideal heart rate distribution information suitable for the driver's basic physical strength can be presented to the driver.

Further, in the first aspect, it is preferable that the control means performs control to calculate and acquire the maximum heart rate information based on the age input by the driver through the input unit. By simply inputting the age, maximum heart rate information corresponding to that age is calculated, so ideal heart rate distribution information corresponding to the driver's age can be output.

Further, in the first aspect, it is preferable that the maximum heart rate information can be inputted through an input unit. Since the maximum heart rate information can be entered in the input section, the maximum heart rate information can be freely set.

Further, in the first aspect, it is preferable that the control means performs control to determine the maximum heartbeat information based on the heartbeat information obtained from a heartbeat meter that measures the heartbeat of the driver while the bicycle is running. In this aspect, the maximum heart rate information can be determined using the raw information of the driver's heart rate measured while driving, so the ideal heart rate information can be corrected with the maximum heart rate information that reflects the driver's condition in real time.

In the first aspect, the control means acquires resting heart rate information that is information on the resting heart rate of the driver, and based on the acquired maximum heart rate information and the acquired resting heart rate information, Preferably, control is performed to correct the ideal heart rate distribution information stored in the first storage unit. Resting heart rate also differs depending on the person's basic physical fitness. In this aspect, the ideal heart rate distribution information can be corrected according to the maximum heart rate information and the resting heart rate information, so it can be compared with the ideal heart rate distribution information that further reflects the driver's basic physical strength. Therefore, realistic training goals suitable for the driver's basic physical strength can be presented to the driver.

Further, in the first aspect, the control means calculates a first difference obtained by subtracting the resting heart rate information from reference heart rate information, which is information about the heartbeat that accounts for the highest proportion of the total bicycle riding time, and the maximum time. Preferably, control is performed to correct the ideal heart rate distribution information so that a ratio of a second difference obtained by subtracting the reference heart rate information from the heart rate information becomes a predetermined value. Thereby, the ideal heart rate distribution information can be appropriately corrected according to the respective magnitudes of the maximum heart rate information and the rest information.

In the first aspect, the control means determines the maximum heart rate information based on the heart rate information acquired from a heart rate monitor that measures the heart rate of the driver while the bicycle is running, and determines the maximum heart rate information based on the heart rate information acquired while the bicycle is stopped. It is preferable that control is performed to determine the resting heartbeat information based on the resting heartbeat information. This allows the maximum heart rate and resting heart rate to be obtained that match the driver's current physical strength and condition, so that it can be corrected to the ideal heart rate distribution information that matches the driver's physical strength and condition.

Further, in the first aspect, it is preferable that the control means estimates a lactic acid value accumulated in the driver based on the acquired heart rate information, and performs control to output lactic acid value information that is information on the lactic acid value. . Based on the heartbeat information, the current lactic acid value accumulated in the driver can be estimated and output as lactic acid value information. Lactic acid is one indicator for determining the degree of fatigue. By outputting lactic acid value information, the driver can more realistically grasp his/her fatigue level.

In the first aspect, the plurality of training levels include an anaerobic exercise level, and when the anaerobic exercise level is selected by the operation unit, the control means measures the running time at the anaerobic exercise level. and control for calculating and outputting a target heart rate value and time for restoring the physical strength of the driver based on the measured driving time and the heart rate information acquired while driving at the anaerobic exercise level. It is a good idea to do this. It is not possible to sustain exercise at anaerobic levels for long periods of time. Therefore, the driving time at that anaerobic exercise level is measured, the driver's exercise state is detected by a sensor, and a target value of the exercise state for reducing lactic acid is indicated. The driver can effectively reduce the amount of lactic acid accumulated by exercising to bring his/her own exercise state closer to the target value, so that assistance suitable for the driver can be easily provided.

Further, in the first aspect, the operation section includes a measurement instruction means for instructing the measurement means for measuring the running time of the bicycle to start and end the measurement, and the control means controls the operation from the start of the measurement to the end of the measurement by the measurement means. It is preferable to perform control such that one running time is the total running time, and the running time from the start of measurement by the measuring means to the current time is calculated as the current training time. Since the driver can instruct the measurement device to start and end the measurement using the measurement instruction device, the driver can decide the driving time for one trip based on his/her own judgment. Therefore, for example, slight stops during travel can be ignored, so the time for one run can be determined appropriately. In addition, since the running time from the start of measurement by the measuring device to the current training time is the current training time, it is possible to grasp the exercise state that occupies the running time up to the current time even while running, so you can adjust the pace to get closer to the ideal exercise state. You can adjust it yourself.

The electronic device according to the second aspect of the present invention can be attached to a bicycle equipped with the system according to any one of claims 1 to 22.

According to the second aspect, since it can be attached to a bicycle equipped with the system according to any one of claims 1 to 22, the effects according to any one of claims 1 to 22 can be obtained.

Claim 24
A program according to a third aspect of the present invention is a program for causing a computer to function as a control means in the system according to any one of claims 1 to 22.

According to the third aspect, since the computer executes the processing according to any one of claims 1 to 22, the effects described in claims 1 to 22 can be obtained.

FIG. 2 is a block diagram showing the electrical configuration of the computer 1. FIG. It is a graph showing ideal heart rate curves A to D for each training level. 3 is a conceptual diagram showing various storage areas of RAM 7. FIG. 3 is a conceptual diagram showing various storage areas of flash memory 9. FIG. 9 is a conceptual diagram of an ideal heart rate curve table 931. FIG. 9 is a conceptual diagram of a support voice table 941. FIG. It is a flowchart of main processing. It is a flowchart of setting processing. It is a flowchart of resting heart rate setting processing. It is a flowchart of meter setting processing. It is a flowchart of meter processing. It is a flowchart of logging processing. It is a flowchart of training processing. It is a flowchart of graph correction processing. It is a flowchart of other person's log information receiving process. It is a flowchart of other person's heartbeat reflection process. It is a flowchart of assist processing. It is a flowchart of data management processing. It is a flowchart of histogram processing. It is a flowchart of physical strength recovery guide processing. It is a figure of a menu screen. It is a figure of a setting screen. FIG. 3 is a diagram of a resting heart rate measurement screen. It is a diagram of a split screen. It is a diagram of a graph screen. It is a diagram of a self-trainer screen. It is a figure of a workout screen. It is a figure of a training level selection screen. 5 is a diagram showing a method of correcting an ideal heart rate curve E. FIG. It is a diagram of a screen displaying Mr. A's heart rate curve and ideal heart rate curve superimposed. 31 is a diagram of a screen in which Mr. B's heart rate curve is further superimposed on the screen of FIG. 30; FIG. It is a figure of a graph display item selection screen. It is a speed/time graph. It is a speed/distance graph. It is a graph of CAD/time. It is a graph of CAD/heart rate. FIG. 3 is a diagram of a speed histogram.

Hereinafter, a cycle computer (hereinafter referred to as a "cycle computer") which is an embodiment of the present invention will be described.
) 1 will be explained with reference to the drawings. These drawings are used to explain technical features that can be adopted by the present invention. The described device configuration, screen diagrams, flowcharts, etc. are not intended to be limiting and are merely illustrative examples. A computer 1 shown in FIG. 1 is an example of an electronic device that is attached to, for example, a bicycle frame.

First, the structure of the computer 1 will be briefly explained with reference to FIG. The computer 1 includes a housing 2. The housing 2 is made of resin. The housing 2 is, for example, a substantially rectangular parallelepiped-shaped case having a longitudinal direction in one direction. A display section 10 is provided on the top surface. The display section 10 has a vertically elongated rectangular shape when viewed from above. The display unit 10 can display various information such as the bicycle's running speed, cadence, and heartbeat. The display direction of the image displayed on the display unit 10 can be changed, for example, to either the vertical direction or the horizontal direction. The vertical direction is, for example, the longitudinal direction of the upper surface of the housing 2. The lateral direction is, for example, the lateral direction perpendicular to the longitudinal direction.

On the front side of the display unit 10 (lower side in FIG. 1), four operation buttons 31 to 34 (hereinafter collectively referred to as simply "operation buttons 11") are arranged side by side from left to right. The operation button 31 is used, for example, when returning from the screen displayed on the display unit 10 to the previous screen. The operation button 32 is used, for example, to turn on/off the power of the device or to determine a selection item. The operation button 33 is used, for example, to select an item or stop time measurement. The operation button 34 is used, for example, to select an item or start time measurement. The functions of the operation buttons 31 to 34 are not limited to these. The operation buttons 31 to 34 are made of rubber, for example.

Next, the relationship between various training levels and heart rate in road competitions will be explained. A training level is a type of training with an intensity directed toward that training goal. There are, for example, the following four training levels for road competitions.

1: [Recovery level]
The lowest intensity training level. It is performed only for recovery after high-intensity loads (races and training, e.g. muscular endurance level, development level, apex level).
2: [Basic endurance level]
A training level aimed at developing basic endurance and aerobic fitness. This level of training should clearly increase aerobic fitness (lactate levels 0-3).
3: [Development level]
A training level aimed at developing race-specific endurance. This is on the borderline between aerobic and anaerobic exercise (lactate level 3-6).
4: [Apex level]
The goal is to focus on training explosive power and endurance of explosive power, and to combine this with development level training to raise the so-called anaerobic exercise level threshold.
In addition, there are, for example, an explosive power level, a muscular endurance level, a race level, etc.

It is said that it is desirable for athletes who train to perform only a few selected training levels among these various trainings. It is also important not to perform different training levels at once. Therefore, in order to concentrate and effectively practice the target training level, it is conceivable to perform training while measuring the heartbeat of the driver, for example. A heartbeat is the number of times the heart contracts in one minute. By measuring heart rate, the intensity of the training can be measured. Exercise intensity varies depending on training level.

FIG. 2 graphs the relationship between the heartbeat and the proportion (%) of the total bicycle riding time at each training level as a heartbeat distribution. Curve A is the ideal heart rate curve at the recovery level. Curve B is the ideal heart rate curve at basic endurance level. Curve C is the ideal heart rate curve at the developmental level. Curve D is the ideal heart rate curve at the apex level. In other words, the ideal heart rate curve for each training level is different. Therefore, the driver only needs to adjust the running speed of his/her own vehicle so that the heart rate distribution during the current training running time matches the ideal heart rate curve for the desired training level. This allows the driver to appropriately practice the desired training level.

The computer 1 of this embodiment displays on the display a heart rate curve that is the heart rate distribution during the running time of the current training, and an ideal heart rate curve that is the ideal heart rate curve for the entire running time according to the target training level. 10 for comparison. The driver can appropriately practice the desired training level by adjusting the driving speed so that the current heart rate curve displayed on the display unit 10 matches the ideal heart rate curve.

Next, the electrical configuration of the psychocon 1 will be explained with reference to FIG. 1. The computer 1 includes a control section 3. The control unit 3 performs main control of the computer 1. The control unit 3 is composed of a microcomputer and the like including a CPU 5, an EEPROM 6, a RAM 7, a flash memory 9, and the like. The EEPROM 6 stores various programs for controlling the computer 1, for example. The RAM 7 includes various storage areas (see FIG. 3) that will be described later. The flash memory 9 includes various storage areas (see FIG. 4) that will be described later.

The control unit 3 is connected to a display unit 10, operation buttons 11, a speaker 12, an altimeter 13, a sensor reception unit 14, a wireless communication unit 15, and the like. The display unit 10 is, for example, a color liquid crystal that displays various information. The speaker 12 outputs alerts, audio, etc., for example. The altimeter 13 measures, for example, the altitude above sea level while the vehicle is running. The altimeter 13 is set, for example, by inputting the altitude above sea level at the current point into the computer 1. The altimeter 13 measures the height difference based on the input altitude above sea level. The sensor reception unit 14 receives various data transmitted from, for example, the speed sensor 21, the cadence sensor 22, the heartbeat sensor 23, and the like. The wireless communication unit 15 is capable of receiving various types of log information transmitted, for example, from other bicycles 40 attached to other athletes' bicycles. The computer 1 is operated by a battery 27, for example. For example, it may be operated using a rechargeable battery.

Note that the speed sensor 21 measures the speed of the bicycle by detecting, for example, a magnet (not shown) attached to a spoke (not shown) of a wheel, and wirelessly transmits the speed data to the bicycle 1. The cadence sensor 22 measures, for example, the number of rotations of a pedal, and wirelessly transmits the cadence data to the computer 1 . The heartbeat sensor 23 is attached to the driver's chest, for example. The heartbeat sensor 23 measures the driver's heartbeat and wirelessly transmits the heartbeat data to the computer 1.

Next, various storage areas of the RAM 7 will be explained with reference to FIG. The RAM 7 includes a running distance storage area 71, a running time storage area 72, a maximum heart rate storage area 73, a resting heart rate storage area 74, a heartbeat log information storage area 75, a speed log information storage area 76, a cadence log information storage area 77, and an altitude. It includes a log information storage area 78, a lactate value storage area 79, a characteristic information storage area 80, and the like.

The mileage storage area 71 stores the mileage. The distance traveled is calculated from the speed and the circumference of the wheels. The running time is stored in the running time storage area 72. The maximum heart rate is stored in the maximum heart rate storage area 73. Maximum heart rate is configurable. The resting heartbeat storage area 74 stores the resting heartbeat. Resting heart rate can be set and measured. Measured heartbeat data is logged in the heartbeat log information storage area 75. Measured speed data is logged in the speed log information storage area 76. Measured cadence data is logged in the cadence log information storage area 77. Measured altitude data is logged in the altitude log information storage area 78. The lactic acid value is stored in the lactic acid value storage area 79. The lactic acid value can be calculated based on heart rate and running time, for example. Feature information is stored in the feature information storage area 80. The characteristic information is, for example, an upper limit value, a lower limit value, an average value, a cumulative value, etc. that characterize changes in speed, heart rate, cadence, altitude, etc. regarding past history log information.

Next, various storage areas of the flash memory 9 will be explained with reference to FIG. 4. The flash memory 9 includes a personal information storage area 91, a history log information storage area 92, an ideal heart rate curve table storage area 93, a support voice table storage area 94, a workout information storage area 95, a target information storage area 96, and the like. The personal information storage area 91 stores personal information such as the individual's gender, age, and weight. The history log information storage area 92 stores history log information for each measurement item. The ideal heart rate curve table storage area 93 stores an ideal heart rate curve table 931 (see FIG. 5). The support voice table storage area 94 stores a support voice table 941 (see FIG. 6).

Next, the ideal heart rate curve table 931 will be explained with reference to FIG. 5. The ideal heart rate curve table 931 stores, for example, various graph information of ideal heart rate curves A to E indicating the ideal proportion of heartbeats in one total bicycle riding time for each of five training levels. For example, there are five types of training levels: recovery level, basic endurance level, development level, peak level, and standard level. Graph information of the ideal heart rate curve A is stored in association with the recovery level. Graph information of an ideal heart rate curve B is stored in association with the basic endurance level. Graph information of the ideal heart rate curve C is stored in association with the development level. Graph information of the ideal heart rate curve D is stored in association with the apex level. Graph information of the ideal heart rate curve E is stored in association with the standard level. Note that the standard-level ideal heart rate curve E is based on, for example, the individual's maximum heart rate and resting heart rate, and is modified according to the individual's basic physical strength.

Next, the support audio table 941 will be explained with reference to FIG. 6. The support audio table 941 stores error ranges, error levels, and support audio information in association with each other. The error is the error when comparing the heart rate distribution in the current training with the ideal heart rate distribution at the target training level. Specifically, for example, the heart rate with the highest percentage of the heart rate distribution in this training (hereinafter referred to as the "reference heart rate") is compared with the reference heart rate of the ideal heart rate distribution at the target training level. This is an error. The error ranges are, for example, five ranges: -2% to +2%, 3 to 10%, 11% or more, -3 to -10%, and -11% or less.

The error level is an index for determining each error range in, for example, five levels. For example, -2% to +2% is an error level of 0, 3 to 10% is an error level of +1, 11% or more is an error level of +2, -3 to -10% is an error level of -1, and -11% or less is an error level - It is 2. The assistance audio information is, for example, audio data output to assist the driver according to each error level. For example, voice data such as "That's how you are." is stored for an error level of 0. For example, voice data of "Slightly slower." is stored for the error level +1. For example, voice data saying "Excessive load." is stored for the error level +2. For example, voice data such as "A little faster!!" is stored for an error level of -1. For example, voice data of "Faster!" is stored for error level -2.

Next, main processing by the CPU 5 will be explained with reference to flowcharts shown in FIGS. 7 to 20 and screen diagrams shown in FIGS. 21 to 37. In the following description, the control of the computer 1 by the CPU 5 will be explained together with the screen displayed on the display unit 10. For example, when the driver presses the operation button 32 (see FIG. 1) of the computer 1 to turn on the power, the CPU 5 reads the control program stored in the EEPROM 6 and executes this process.

As shown in FIG. 7, first, the CPU 5 displays the main menu on the display unit 10 (S1). As shown in FIG. 21, five screen types are displayed vertically as a main menu. From top to bottom, these are, for example, "meter", "data management", "training", "meter settings", and "settings". The driver can select a screen to be displayed on the display unit 10 from among five screen types. When the driver selects a type using the operation button 11, the color of the item of that type is displayed in reverse, for example. On the meter screen, you can select from 45 items of information you need while riding, such as speed, cadence, heart rate, elapsed time, distance traveled, laps, etc. You can display the trainer screen, etc. On the data management screen, for example, you can view, edit, analyze, delete, etc. the history contents saved so far. On the training screen, for example, the distribution of heartbeats during the training running time can be displayed in real time, and can be displayed in a manner that can be compared with the ideal distribution of heartbeats during the entire running time according to the desired training level. On the meter setting screen, it is possible to set, for example, display items to be displayed on the meter screen. On the setting screen, for example, personal information such as gender and weight can be set. The driver appropriately selects a desired screen.

The CPU 5 determines whether a meter has been selected (S2). If it is determined that the meter has been selected (S2: YES), meter processing is executed (S7). If the CPU 5 determines that the meter has not been selected (S2: NO), the CPU 5 determines whether or not data management has been selected (S3). If it is determined that data management has been selected (S3: YES), data management processing is executed (S8). If the CPU 5 determines that neither meter nor data management is selected (S2: NO, S3: NO), it determines whether training is selected (S4). If it is determined that training has been selected (S4: YES), training processing is executed (S9).

Further, when the CPU 5 determines that none of the meter, data management, and training settings have been selected (S2: NO, S3: NO, S4: NO), the CPU 5 determines whether or not the meter setting has been selected (S5). If it is determined that meter setting has been selected (S5: YES), meter setting processing is executed (S10). If the CPU 5 determines that none of the meter, data management, training, and meter settings are selected (S2: NO, S3: NO, S4: NO, S5: NO), it determines whether the settings have been selected ( S6). If it is determined that the setting has been selected (S6: YES), a setting process is executed (S10).

Next, the setting process will be explained with reference to FIG. 8. First, the CPU 5 displays a setting menu on the display unit 10 (S15). As shown in FIG. 23, in the settings menu, five setting items are displayed vertically side by side. From top to bottom, they include, for example, "gender," "age," "weight," "resting heart rate," and "maximum heart rate." The driver selects each item from among the five items and sequentially sets various information.

The CPU 5 determines whether or not gender has been selected (S16). If it is determined that the gender has been selected, gender setting processing is executed (S21). In the gender setting process, the CPU 5 stores gender information input by the driver using the operation button 11 in the personal information storage area 91 of the flash memory 9. When the CPU 5 determines that gender has not been selected (S16: NO), it determines whether age has been selected (S17). If it is determined that the age has been selected (S16: YES), age setting processing is executed (S22). In the age setting process, the CPU 5 stores the age information input by the driver using the operation button 11 in the personal information storage area 91 of the flash memory 9.

If the CPU 5 determines that neither gender nor age has been selected (S16: NO, S17: NO), it determines whether weight has been selected (S18). If it is determined that the weight has been selected (S18: YES), a weight setting process is executed (S23). In the weight setting process, the CPU 5 stores weight information input by the driver using the operation button 11 in the personal information storage area 91 of the flash memory 9. When the CPU 5 determines that none of gender, age, and weight are selected (S16: NO, S17: NO, S18: NO), the CPU 5 determines whether resting heartbeat is selected (S19). If it is determined that the resting heart rate has been selected (S19: YES), a resting heart rate setting process is executed (S24). Note that the resting heart rate setting process will be described later.

If the CPU 5 determines that none of the gender, age, weight, and resting heart rate are selected (S16: NO, S17: NO, S18: NO, S19: NO), it determines whether the maximum heart rate has been selected. (S20). If it is determined that the maximum heart rate has been selected (S20: YES), a maximum heart rate setting process is executed S (S25). In the maximum heart rate setting process, the CPU 5 stores maximum heart rate information input by the driver using the operation button 11 in the maximum heart rate storage area 73 of the RAM 7 (see FIG. 3). The maximum heart rate may be calculated, for example, using the following calculation formula (1). Note that the maximum heart rate determined by formula (1) is a general value. Therefore, if there is a maximum heart rate measured during actual exercise, it is recommended to enter that value. Alternatively, the CPU 5 may automatically calculate the age based on the inputted age based on formula (1).
・ Maximum heart rate = 220 - age... (1)

Note that when the CPU 5 determines that none of the gender, age, weight, resting heart rate, and maximum heart rate are selected (S16: NO, S17: NO, S18: NO, S19: NO, S20: NO), Return to S16 and repeat the process. When the CPU 5 finishes any one of the processes from S21 to S25, it ends this process and returns to S11 of the main process in FIG.

Next, the resting heart rate setting process will be explained with reference to FIG. 9. First, the CPU 5 displays a selection screen (not shown) shown in FIG. 23(a) (S31). On the selection screen, two items, "Manual input" and "Measurement", are displayed vertically side by side. The CPU 5 determines whether manual input has been selected by the driver (S32). If it is determined that manual input has been selected (S32: YES), the resting heart rate input screen is displayed, and it is determined whether or not the input confirmation operation has been performed using the operation button 11 (S33). Until the input confirmation operation is performed (S33: NO), the process returns to S33 and enters a standby state. If the CPU 5 determines that the input confirmation operation has been performed (S33: YES), the CPU 5 stores the input numerical value in the resting heart rate storage area 74 (see FIG. 3) of the RAM 7 (S34), and executes S24 of the setting process in FIG. end.

If the CPU 5 determines that manual input has not been selected (S32: NO), it determines whether measurement has been selected (S35). If the CPU 5 determines that neither manual input nor measurement is selected (S32: NO, S35: NO), the process returns to S32 and repeats the process. If it is determined that measurement has been selected (S35: YES), the permission screen 37 shown in FIG. 23(b) is displayed, and it is determined whether the driver has performed an operation to start measurement (S36). On the permission screen 37, for example, a message "Starting measurement of resting heart rate" is displayed, and below the message, "Yes" and "No" can be selected.

The CPU 5 returns to S36 and enters a standby state until the driver selects "Yes" and performs an operation to start measurement (S36: NO). If the CPU 5 determines that an operation to start measurement has been performed (S36: YES), it starts heart rate measurement (S37). At this time, the CPU 5 may display, for example, a message "Measuring resting heart rate". Furthermore, when the measurement is completed, it is preferable to display a message saying, for example, "Measurement completed." The CPU 5 stores the measured value in the resting heart rate storage area 74 of the RAM 7 (S38). In this way, the CPU 5 ends the resting heart rate setting process and returns to S24 of the setting process in FIG.

Next, the meter setting process will be explained with reference to FIG. First, the CPU 5 displays a layout selection screen (not shown) on the display unit 10 (S41). The layout selection screen allows the driver to select the type of screen to be displayed on the meter screen. Examples of the types of screens include a split screen (see FIG. 24), a graph screen (see FIG. 25), a self-trainer screen (see FIG. 26), and a workout screen (see FIG. 27).

The divided screen shown in FIG. 24 is, for example, a four-divided screen. Items such as time, speed, distance, and heart rate are displayed in order from the top. The split screen is not limited to four, and for example, any one of the split screens from 2 to 8 can be selected. The number of items displayed differs depending on the number of divisions.

The graph screen shown in FIG. 25 displays, for example, two graphs one above the other. For example, a graph showing changes in speed with respect to travel time is displayed on the upper side. For example, a graph showing changes in cadence versus running time is displayed at the bottom. Note that the types of graphs displayed on the graph screen are not limited to these, and can be selected from, for example, graph selection items. It is also possible to display only one graph.

The self-trainer screen shown in FIG. 26 graphically displays, for example, the time difference and distance difference between the own vehicle 45 and a preset target 46. The own vehicle 45 moves according to the actual travel time and distance. The target 46 moves according to preset target information (eg, target speed, target time, etc.). The target information is stored in a target information storage area 96 (see FIG. 4) of the flash memory 9. Further, at the bottom of the screen, for example, current speed, target speed, target time difference, target distance difference, etc. are displayed.

The workout screen shown in FIG. 27 displays display items that match the workout settings, for example. For example, items such as time, coaching, current step (step 1 in FIG. 27), and next step are displayed in order from the top. Coaching is, for example, target values specified from among preset speed, cadence, and heart rate zones and displayed on the screen during steps. In each step column, for example, the workout end conditions of each step are displayed.

Returning to FIG. 10, the CPU 5 determines whether "split screen" is selected (S42). If it is determined that the split screen has been selected (S42: YES), a split setting process is executed (S46). The split setting process is a process of setting the meter screen to a split screen, having the driver input and select the number of screen divisions, display items, etc., and storing them in the flash memory 9. When the CPU 5 ends the division setting process, it ends the meter setting process and returns to S10 of the main process in FIG.

Further, when the CPU 5 determines that the split screen is not selected (S42: NO), the CPU 5 determines whether the "graph screen" is selected (S43). If it is determined that the graph screen has been selected (S43: YES), graph setting processing is executed (S47). The graph setting process is a process of setting the meter screen to a graph screen, allowing the driver to select, for example, the type of graph to be displayed on the graph screen, and storing the selected content in the flash memory 9. For example, the CPU 5 displays graph selection items and allows the driver to select from them. Possible graph selection items include, for example, speed/time, speed/distance, cadence/time, cadence/distance, heartbeat/time, heartbeat/distance, altitude/time, altitude/distance, CAD/heartbeat, and the like. When the CPU 5 ends the graph setting process, it ends the meter setting process and returns to S10 of the main process in FIG.

Further, when the CPU 5 determines that neither the split screen nor the graph screen is selected (S42: NO, S43: NO), the CPU 5 determines whether the "self-trainer screen" is selected (S44). If it is determined that the self-trainer screen has been selected (S44: YES), a self-trainer setting process is executed (S48). In the self-trainer setting process, the meter screen is set as the self-trainer screen, and for example, the driver is asked to input target information, and the input content is stored in the target information storage area 96 of the flash memory 9 (see FIG. 4). It is. When the CPU 5 ends the self-trainer setting process, it ends the meter setting process and returns to S10 of the main process in FIG.

Furthermore, if the CPU 5 determines that none of the split screen, graph screen, and self-trainer screen is selected (S42: NO, S43: NO, S44: NO), it determines whether the "workout screen" is selected. (S45). If it is determined that the workout screen has been selected (S45: YES), a workout setting process is executed (S49). In the workout setting process, the meter screen is set as the workout screen, and the driver is asked to input workout information such as workout end conditions and number of steps, and the input contents are stored in the flash memory 9 as workout information. This is a process of storing in the storage area 95 (see FIG. 4). When the CPU 5 finishes the workout setting process, it ends the meter setting process and returns to S10 of the main process in FIG.

Note that if the CPU 5 determines that none of the split screen, graph screen, self-trainer screen, and workout screen is selected (S42: NO, S43: NO, S44: NO, S45: NO), the process returns to S42. Repeat the process.

Next, meter processing will be explained with reference to FIG. 11. First, the CPU 5 determines whether or not the meter screen is set to be divided (S51). If it is determined that the split screen is set (S51: YES), the split screen shown in FIG. 24, for example, is displayed (S55). If the CPU 5 determines that division is not set (S51: NO), it determines whether graphs are set (S52). If it is determined that a graph has been set (S52: YES), a graph screen shown in FIG. 25, for example, is displayed (S56). If the CPU 5 determines that neither the division setting nor the graph setting has been made (S51: NO, S52: NO), the CPU 5 judges whether or not the self-trainer setting has been made (S53). If it is determined that the self-trainer is set (S53: YES), the self-trainer screen shown in FIG. 26, for example, is displayed (S57).

Further, if the CPU 5 determines that none of the division settings, graph settings, and self-trainer settings have been made (S51: NO, S52: NO, S53: NO), it judges whether or not workout settings have been made (S54). . If it is determined that the workout is set (S54: YES), the workout screen shown in FIG. 27, for example, is displayed (S58). Note that if the CPU 5 determines that none of the division settings, graph settings, self-trainer settings, and workout settings have been made (S51: NO, S52: NO, S53: NO, S54: NO), an error message will appear on the display unit 10. Display is performed (S65), the meter setting process is ended, and the process returns to S10 of the main process in FIG.

After displaying each display screen (S55 to S58), the CPU 5 determines whether or not the driver has pressed the operation button 11 to perform a start operation (S59). The CPU 5 returns to S59 and enters a standby state until a start operation is performed (S59: NO). If the CPU 5 determines that the driver has performed a start operation (S59: YES), it starts logging processing (S60).

Here, the logging process will be explained with reference to FIG. 12. Note that this process is a process that the CPU 5 repeatedly executes on a regular basis. First, the CPU 5 acquires speed information from the speed sensor 21 (see FIG. 1) via the sensor receiving section 14 (S71). Furthermore, cadence information is acquired from the cadence sensor 22 (see FIG. 1) via the sensor receiving section 14 (S72). Furthermore, heartbeat information is acquired from the heartbeat sensor 23 (see FIG. 1) via the sensor receiver 14 (S73). Further, altitude information of the own vehicle is acquired from the altimeter 13 (see FIG. 1) (S74). The CPU 5 stores the acquired heart rate information, speed information, cadence information, and altitude information in the heart rate log information storage area 75, speed log information storage area 76, cadence log information storage area 77, altitude log information storage area 78, etc. of the RAM 7. Each is memorized (S75).

Returning to the meter process in FIG. 11, when the logging process (S60) is started, for example, as shown in FIGS. 24 to 27, the speed log information, cadence log information, heart rate log information, and The altitude log information is reflected and displayed on each screen of the display unit 10. Next, the CPU 5 determines whether the driver has pressed the operation button 11 to perform a termination operation (S62). Until the end operation is performed (S62: NO), the CPU 5 returns to S61 and updates the display as needed. If the CPU 5 determines that the end operation has been performed by the driver (S62: YES), it ends the logging process (S63). Then, the CPU 5 stores the various log information stored in the RAM 7 in the history log information storage area 92 (see FIG. 4) of the flash memory 9 in association with the Western calendar date and time information (S64). The CPU 5 ends the meter processing and returns to S7 in FIG.

Next, the training process will be explained with reference to FIG. 13. In the following explanation, it is assumed that, for example, a plurality of athletes perform bicycle training together. First, the CPU 5 displays a level selection screen on the display unit 10 (S81). For example, as shown in FIG. 28, five training levels can be selected on the level selection screen. Items such as "recovery level", "basic endurance level", "development level", "apex level", and "standard level" are displayed in order from the top. The driver selects the desired training level from among five items.

The CPU 5 determines whether the driver has selected one item using the operation button 11 and performed an operation to confirm the selection (S82). The CPU 5 returns to S82 and enters a standby state until the selection confirmation operation is performed (S82: NO). If the CPU 5 determines that the selection confirmation operation has been performed (S82: YES), the CPU 5 stores the graph information of the ideal heart rate curve for the selected training level in the ideal heart rate curve table 931 (see FIG. 5) stored in the flash memory 9. (S83). For example, when the recovery level item is selected, the CPU 5 acquires graph information of the ideal heart rate curve A from the ideal heart rate curve table 931.

Next, the CPU 5 determines whether the selected training level is a standard level (S84). For example, if a driver wants to train according to his/her basic physical strength, he/she may select the standard level. The ideal heart rate curve E at the standard level shows a normal heart rate distribution as shown in FIG. 29, for example. When the CPU 5 determines that the standard level has been selected (S84: YES), it executes graph correction processing (S85). The graph modification process is a process of modifying the ideal heart rate curve E based on, for example, the driver's resting heart rate and maximum heart rate. Note that when the CPU 5 determines that the standard level has not been selected (S84: NO), the CPU 5 executes the next step (S86) without performing the graph correction process.

Here, the graph correction process will be explained with reference to FIG. 14. First, the CPU 5 acquires the maximum heart rate stored in the maximum heart rate storage area 73 (see FIG. 3) of the RAM 7 (S111). Next, the CPU 5 acquires the resting heartbeat stored in the resting heartbeat storage area 74 (see FIG. 3) of the RAM 7 (S112). Then, the CPU 5 calculates a reference heart rate of the ideal heart rate curve based on the acquired maximum heart rate and resting heart rate (S113). The reference heartbeat refers to the heartbeat that accounts for the highest proportion of the total running time in the heartbeat curve. For example, the difference between the reference heart rate and the resting heart rate is X1 (corresponding to the "first difference" of the present invention), and the difference between the maximum heart rate and the reference heart rate is X2 (corresponding to the "second difference" of the present invention). In this case, the reference heart rate is calculated so that X1:X2=1:1.5. For example, if the maximum heart rate is 185 bpm and the resting heart rate is 85 bpm, the reference heart rate is 125 bpm. Note that the reference heart rate may be calculated using only the maximum heart rate. For example, a value obtained by multiplying the maximum heart rate by 2/3 may be used as the reference heart rate. Then, the CPU 5 moves and corrects the ideal heart rate curve E based on the calculated reference heart rate (S114).

Next, the CPU 5 displays an ideal heart rate graph on the display unit 10 based on the graph information of the ideal heart rate curve acquired in S83 (S86). The driver can check the ideal heart rate curve for the desired training level displayed on the display unit 10 before driving. Therefore, training goals using heart rate as an index become clear. Next, the CPU 5 determines whether the driver has pressed the operation button 11 and performed an operation to start driving (S87). The CPU 5 returns to S87 and enters a standby state until an operation to start running is performed (S87: NO).

When the CPU 5 determines that the driver has performed an operation to start driving (S87: YES), the CPU 5 starts the above-mentioned logging process (see FIG. 12) (S88). Further, the CPU 5 starts another person's log information reception process (S89). The other player's log information reception process is a process of periodically receiving various log information of other players.

The other person's log information receiving process will now be described with reference to FIG. 15. The other person's log information reception process is a process that is executed periodically. First, the CPU 5 transmits a log information request signal to the other bicycles 40 (see FIG. 1) attached to the bicycles ridden by other athletes (S121). When the other computer 40 receives the log information request signal, it extracts various log information from the memory since the start of running in the current training to the present, and sends it back to the computer 1.

The CPU 5 determines whether various log information has been received from another computer 40 (S122). Until the log information is received (S122: NO), the process returns to S122 and enters a standby state. If the CPU 5 determines that log information has been received from another computer 40 (S122: YES), the CPU 5 stores the received log information in the RAM 7 together with the identification information of the other computer 40 (123), and executes another person's log information reception process. finish.

Returning to FIG. 13, the CPU 5 determines whether a predetermined time has elapsed since the start of travel (S90). Until the predetermined time has elapsed (S90: NO), the process returns to S90 and enters a standby state. If the CPU 5 determines that the predetermined time has elapsed (S90: YES), it acquires the heartbeat log information stored in the heartbeat log information storage area 75 (see FIG. 3) of the RAM 7 (S91). Then, the CPU 5 creates a heartbeat curve based on the acquired heartbeat log information (S93). Furthermore, the graph of the created heart rate curve is displayed superimposed on the ideal heart rate curve previously displayed on the display unit 10 (S94).

For example, as shown in FIG. 30, the ideal heart rate curve of the target training level and the heart rate curve of the current training of Mr. A, who is the driver, are displayed superimposed on the display unit 10. For example, it is obvious at a glance that Mr. A's heart rate curve is lower overall than the ideal heart rate curve. In other words, if you look at the desired training level, you can see that the exercise intensity is insufficient. Therefore, Mr. A tries to increase his heart rate by pedaling further, so his heart rate curve gradually approaches the ideal heart rate curve.

Returning to FIG. 13, next, the CPU 5 calculates the lactic acid value from the previous running time and heart rate, and further displays it on the display unit 10 (S95). Note that the lactic acid value may be calculated using a formula, or may be determined using a table that correlates running time, heart rate, and lactic acid value. Lactic acid is an indicator of fatigue. Therefore, by checking the current lactic acid level at any time, the driver can grasp the current state of physical fatigue. Then, the CPU 5 executes another person's heart rate reflection process (S96).

Here, the other person's heart rate reflection process will be explained with reference to FIG. 16. First, the CPU 5 extracts and obtains other person's heartbeat log information from, for example, Mr. B's log information stored in the RAM 7 (S131). The other person's heartbeat log information is heartbeat log information. Next, the CPU 5 calculates the proportion of heartbeats in the current running time based on the obtained other person's heartbeat log information (S132), and creates a heartbeat curve for Mr. B of another person (S133). Then, as shown in FIG. 31, the created other person's heart rate curve of Mr. B is displayed superimposed on the heart rate curve of Mr. A and the ideal heart rate curve (S34). This allows Mr. A to check Mr. B's exercise status (heartbeat in this embodiment), so that Mr. A can, for example, negotiate a race. It also stimulates your desire to train. In addition, if there is an abnormality in Mr. B's heartbeat, we can quickly respond to Mr. B. The CPU 5 ends the other person's heart rate reflection process and returns to S96 of the training process in FIG. 13. Next, the CPU 5 executes assist processing (S97).

Here, assist processing will be explained with reference to FIG. 17. First, the CPU 5 identifies and acquires a reference heartbeat of the ideal heartbeat curve (S141). Next, the CPU 5 identifies and acquires the reference heartbeat of Mr. A's heartbeat curve (S142). Then, the CPU 5 calculates the error between the two acquired reference heartbeats (S143). For example, if the standard heart rate of the ideal heart rate curve is 150 bpm and the standard heart rate of Mr. A's current heart rate curve is 125 bpm, the error is -17% (for example, the number after the decimal point is rounded off).

Next, the CPU 5 determines the error level of the calculated error by referring to the support audio table 941 (see FIG. 6) stored in the flash memory 9 (S144). Since the error is -17%, the error level is -2. Further, the CPU 5 refers to the support sound table 941 and determines the support sound (S145). Since the error level is -2, the support voice is determined to be "Faster!!". Then, the CPU 5 outputs the determined support voice from the speaker 12 (see FIG. 1). Mr. A tries to pedal further and increase the speed by hearing the voice "Faster!" output from the speaker 12, so that his heart rate gradually adjusts to the target training level. can. In addition to the voice, a message "Faster!!" may be displayed, for example, as shown in FIG. 30. Furthermore, a message may be displayed instead of the voice. The CPU 5 ends the assist process and returns to S97 of the training process in FIG. 13.

Then, the CPU 5 determines whether the driver has pressed the operation button 11 and performed an operation to end the travel (S99). Until the operation to end the travel is performed (S99: NO), the process returns to S90 and is repeated. If the CPU 5 determines that the operation to end the run has been performed (S99: YES), it ends the logging process and stores the various log information stored in the RAM 7 in the history log information storage area 92 of the flash memory 9 as history log information. (S101). In this way, the CPU 5 ends the training process and returns to S9 of the main process in FIG.

Next, data management processing will be explained with reference to FIG. 18. First, the CPU 5 displays a history list on the display unit 10 based on the history log information stored in the history log information storage area 92 (see FIG. 4) of the flash memory 9 (S151). Here, for example, a list of the calendar year and date and time when the bicycle training was practiced is displayed on the display unit 10. The driver selects any one history date and time from the history list displayed on the display unit 10, and presses the operation button 11 to confirm the selection. The CPU 5 determines whether the driver has performed an operation to confirm the selection (S152). Until the selection confirmation operation is performed (S152: NO), the process returns to S152 and enters a standby state.

When the CPU 5 determines that the selection confirmation operation has been performed (S152: YES), the CPU 5 acquires the history log information of the selected history date and time from the history log information storage area 92 of the flash memory 9 (S153). Further, the CPU 5 calculates the maximum value, minimum value, and average value of speed, cadence, heart rate, altitude, etc., respectively, based on the acquired history log information, and uses these as characteristic information in the characteristic information storage area 80 of the RAM 7 (see FIG. 3). ) (S154). Note that a cumulative value may be calculated and included as the feature information.

Next, the CPU 5 displays a graph type selection screen (not shown) on the display unit 10 (S155). On the graph type selection screen, two items, for example, "graph" and "histogram" are displayed. The driver selects one of the two items displayed on the display unit 10 and presses the operation button 11 to confirm the selection.

Then, the CPU 5 determines whether the graph has been selected by the driver (S156). If a graph is selected (S156: YES), a type selection screen is displayed on the display unit 10. As shown in FIG. 32, a plurality of graph display items that can be displayed as a line graph, for example, are displayed on the type selection screen. For example, there are 10 types: speed/time, speed/distance, cadence (CAD)/time, CAD/distance, heartbeat/time, heartbeat/distance, altitude/time, altitude/distance, and CAD/heartbeat. The driver selects one of the ten types of graph display items displayed on the display unit 10 and presses the operation button 11 to confirm the selection.

Next, the CPU 5 displays a line graph corresponding to the graph display item selected by the driver (S159). For example, when the speed/time graph display item is selected, the graph shown in FIG. 33 is displayed. For example, when the speed/time graph display item is selected, the graph shown in FIG. 34 is displayed. For example, when the speed/distance graph display item is selected, the graph shown in FIG. 35 is displayed. For example, when the cadence/heartbeat graph display item is selected, the graph shown in FIG. 36 is displayed. Since graphs can be displayed using these various combinations, analysis under various situations is possible. In addition to the above-mentioned items, the items to be combined may be graphically displayed in combination with, for example, lactic acid value, power, wind speed, temperature, humidity, gear ratio, gradient, body weight, body fat percentage, etc. Then, as shown in FIGS. 33 to 36, the CPU 5 displays the maximum value and minimum value of each measured value based on the characteristic information stored in the characteristic information storage area 80 (see FIG. 3) of the RAM 7 inside each graph. , display the average value. This allows drivers to perform a more detailed analysis of their past training.

Then, the CPU 5 determines whether the driver has pressed the operation button 11 and performed an end operation (S161). Until it is determined that the termination operation has been performed (S161: NO), the process returns to S159 and the line graph is continuously displayed. If the CPU 5 determines that the termination operation has been performed (S161: YES), the CPU 5 terminates the data management process and returns to S8 of the main process in FIG.

On the other hand, if the CPU 5 determines that no graph is selected (S156: NO), the CPU 5 determines whether or not a histogram is selected (S158). If the CPU 5 determines that neither the graph nor the histogram is selected (S156: NO, S158: NO), the process returns to S156 and repeats the process. If the CPU 5 determines that the histogram has been selected (S158: YES), it executes histogram processing (S160).

Here, the histogram processing will be explained with reference to FIG. 19. First, the CPU 5 displays a type selection screen (not shown) on the display unit 10 (S171). For example, three items are displayed on the type selection screen: "speed", "cadence", and "heartbeat". The driver selects one of the three items displayed on the display section 10 and presses the operation button 11 to confirm the selection.

Then, the CPU 5 determines whether the speed has been selected (S172). If it is determined that the speed has been selected (S172: YES), the speed log information of the selected history date and time is extracted and acquired from the history log information storage area 92 of the flash memory 9 (S175). The CPU 5 calculates the speed distribution over the entire travel time based on the acquired speed log information (S176). Based on the calculated speed distribution, the CPU 5 displays, for example, a speed histogram as shown in FIG. 37 on the display unit 10 (S177).

Further, when the CPU 5 determines that speed has not been selected (S172: NO), it determines whether cadence has been selected (S173). If it is determined that the cadence has been selected (S173: YES), the cadence log information of the selected history date and time is extracted and acquired from the history log information storage area 92 of the flash memory 9 (S179). The CPU 5 calculates the cadence distribution over the entire running time based on the acquired cadence log information (S180). Based on the calculated cadence distribution, the CPU 5 displays a cadence histogram (not shown) similar to that shown in FIG. 37 on the display unit 10 (S181).

Further, when the CPU 5 determines that neither speed nor cadence has been selected (S172: NO, S173: NO), the CPU 5 determines whether heartbeat has been selected (S174). If it is determined that the heartbeat has been selected (S174: YES), the heartbeat log information of the selected history date and time is extracted and acquired from the history log information storage area 92 of the flash memory 9 (S182). The CPU 5 calculates the heartbeat distribution over the entire running time based on the acquired heartbeat log information (S183). Based on the calculated heart rate distribution, the CPU 5 displays a heart rate histogram (not shown) similar to that shown in FIG. 37 on the display unit 10 (S184). In this way, since any one of the three histograms of "speed", "cadence", and "heartbeat" can be displayed on the display unit 10, the driver can clearly grasp the distribution of each measurement value over the entire driving time.

The CPU 5 determines whether the driver has pressed the operation button 11 and performed a termination operation (S178). Until it is determined that the end operation has been performed (S178: NO), the process returns to S178 and each histogram is continuously displayed. If the CPU 5 determines that the end operation has been performed (S178: YES), it ends the histogram processing and returns to S160 of the data management processing in FIG. The CPU 5 then ends the data management process and returns to S8 of the main process in FIG.

In this way, the process returns to the main process of FIG. 7, and when the CPU 5 completes each process, it determines whether the power has been turned off (S12). If the CPU 5 determines that the power is not turned off (S12: NO), it returns to S1 and repeats the process. If the CPU 5 determines that the power has been turned off (S12: YES), the CPU 5 saves the settings of the computer 1 up to that point in the flash memory 9 (S13), and ends the main process.

As explained above, in the psychocon 1 of this embodiment, the heart rate curve that is the heart rate distribution during the running time of the current training, and the ideal heart rate curve that is the ideal heart rate curve for the entire running time according to the target training level. The curves can be displayed on the display unit 10 for comparison. The driver can appropriately practice the desired training level by adjusting the driving speed so that the current heart rate curve displayed on the display unit 10 matches the ideal heart rate curve.

Further, in this embodiment, in particular, the driver can compare his/her own exercise state with an ideal exercise state corresponding to his or her desired training level. There are various training levels for cycling, such as an aerobic exercise level and an anaerobic exercise level. The ideal exercise state differs depending on these levels. In this aspect, whether or not the driver's own exercise state matches the ideal exercise state can be outputted in a manner that can be compared with the ideal exercise state according to the driver's training level.

In addition, in this embodiment, in order to manage the exercise state for each training session, the flash memory 9 stores graph information of an ideal heart rate curve, which is information about the ideal heart rate in one total bicycle riding time. are stored for each training level. The driver can compare the graph information of the heart rate curve, which is information on the heart rate occupied during the current training time, with the ideal heart rate curve. Therefore, for example, it is possible to recognize how far the current training level is from the ideal exercise state, and how to approach the ideal exercise state.

If the user is currently training, the exercise state that occupies the training time from the start of running to the present time can be compared with ideal exercise information. This allows you to understand in real time how you can get closer to your ideal exercise state during training. You can also compare it to your ideal exercise state even after you finish your current training session. In that case, the current training can be comprehensively evaluated, which can be used as an effective basis for making decisions when planning the next training plan.

Note that the present invention is not limited to the above embodiments, and various modifications are possible. For example, at the peak level, anaerobic exercise is predominant, so it is said that lactic acid tends to accumulate in the body. This type of anaerobic exercise cannot be maintained for long periods of time. Lactic acid that accumulates in the body can also cause fatigue. Therefore, after performing anaerobic exercise, it is necessary to lower the heart rate to a recovery level or basic endurance level, reduce lactic acid accumulated in the body, and recover physical strength. Therefore, for example, when the training process is executed at the apex level, an option may be provided to execute, for example, the physical strength recovery guide process after the running end operation is executed (S99: YES).

Therefore, the physical strength recovery guide processing will be explained with reference to FIG. 20. First, the CPU 5 obtains the total running time at the vertex level (S191). Next, the CPU 5 detects a heartbeat (S192). Furthermore, based on the acquired running time and the detected heartbeat, the lactic acid value currently accumulated in the body is calculated and displayed on the display unit 10 (S193). The driver who sees this can understand the state of his/her own body fatigue. Next, the CPU 5 displays the target heart rate (S194). The target heart rate can be set in advance in the flash memory 9 or the like. The target heart rate should be a heart rate at the recovery level or basic endurance level. Next, the CPU 5 determines the recovery time for running after reaching the target heart rate, and displays it on the display unit 10 (S195). Note that the recovery time is, for example, the time required to perform recovery-level training and recover accumulated lactic acid into an energy source. Regarding the method of determining the recovery time, a table or the like that can specify the recovery time from the lactic acid value and heart rate may be used, or it may be determined by a calculation formula.

Next, the CPU 5 determines whether the driver has pressed the operation button 11 and performed an operation to start driving (S196). Until it is determined that the operation to start traveling has been performed (S196: NO), the process returns to S196 and enters a standby state. When the CPU 5 determines that an operation to start running has been performed (S196: YES), the CPU 5 receives heart rate data from the heart rate sensor and displays it on the display unit 10 (S197). Next, the CPU 5 determines whether the heart rate has decreased to the target heart rate (S198). Until the CPU 5 determines that the heart rate has decreased to the target heart rate (S198: NO), the CPU 5 returns to S197 and continues displaying the heart rate.

Then, when the CPU 5 determines that the heart rate has decreased to the target heart rate (S198: YES), it starts measuring the running time (S199). The CPU 5 determines whether the running time has reached the recovery time (S200). Until the CPU 5 determines that the running time has reached the recovery time (S200: NO), the CPU 5 returns to S200 and enters a standby state. If the CPU 5 determines that the running time has reached the recovery time (S200: YES), it is presumed that the lactic acid accumulated in the body has been converted into an energy source, so it displays an end message on the display unit 20, and the process starts. end. Note that when this process is finished, the CPU 5 may proceed to S12 of the main process in FIG.

Furthermore, the present invention can be modified in various ways in addition to the above-mentioned modifications. For example, in the embodiment described above, the driver's exercise state is clearly displayed by measuring the heartbeat of the driver and graphically showing the distribution of heartbeats over the current training time as a heartbeat curve. In addition to heart rate, speed, cadence, etc. may be used as an index indicating the exercise state. In other words, the distribution of speed and cadence in the current training time may be displayed in a graph.

Further, in the above embodiment, the computer 1 is described as an example of the electronic device of the present invention, but the electronic device of the present invention may be a dedicated device, and may even be a multifunctional mobile phone with a PDA function, for example. is also applicable.

1 Cycle computer (cyccon)
5 CPU
7 RAM
9 Flash memory 10 Display section 11 Operation buttons 12 Speaker 15 Wireless communication section

Claims (3)

An electronic device that can be attached to a user's bicycle,
a function of recording information regarding the exercise state of the user while the user is riding the bicycle;
a function of receiving information regarding the exercise state of the other person recorded by another electronic device attached to the other person's bicycle while the user is riding the bicycle;
While the user's bicycle is running, information based on recorded information regarding the exercise state of the user from the start of running the user's bicycle to the present, and received information about the exercise state of the user from the start of running the other person's bicycle to the present. a function of displaying information based on information regarding the exercise state of the other person in a manner that allows comparison;
has
The displaying function further displays, on the comparatively displaying screen, a message regarding the running speed of the bicycle as a message to support the user's riding of the bicycle. The electronic device according to claim 1, wherein the displaying function further performs a display based on ideal exercise information that is information on an ideal exercise state stored in a storage unit on the comparatively displayed screen. A program for causing a computer to implement the functions of the electronic device according to claim 1 or 2.

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