JP6765610B2 - Systems and programs, etc. - Google Patents

Description

The present invention relates to systems, electronic devices and programs.

Conventionally, a cycle computer (hereinafter referred to as "Psycon") that can be attached to a bicycle to measure the speed and mileage of the bicycle has been known. A cyclocomputer is a kind of so-called speedometer, but recently, there is also a multifunctional one that can measure heart rate, calories burned, etc. in addition to mileage, total distance, running time, and cadence. Therefore, for example, athletes who are active in road competitions attach such a multifunctional cyclocomputer to a bicycle and perform various trainings while grasping their own exercise state. For example, there is known an optimum momentum setting device that measures the pulse (also referred to as a heart rate) of a person who runs a bicycle and displays it in comparison with the optimum pulse range (see, for example, Patent Document 1).

Athletes who play an active part in road competitions need to plan training including development of abilities and diagnosis, focusing on their abilities and the peculiarities of athletes. Furthermore, it is important to be aware of the purpose of training and to conduct it systematically. That is, it is desirable not to mix various trainings and perform them all at once, but to perform only the desired training. Therefore, athletes need to understand their motor status according to the desired training level.

Japanese Patent Application Laid-Open No. 7-17461

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

Also, in road competitions, it is common to go around a track or a predetermined course, but the exercise state of the exerciser in the total running time from the start to the stop of running depends on the type of training level. Each is different. For example, at the aerobic exercise level, it is ideal that the range of heart rate occupying the total running time is wide and as low as the first half of 120 (times / minute) as a whole. On the other hand, at the training level of anaerobic exercise, it is ideal that the range of heartbeat occupying the total running time is narrow and as high as the latter half of 180 (times / minute) as a whole. However, the above device can only compare the current pulse with the optimum pulse range according to gender, age, and reference pulse rate, and makes a comprehensive judgment over the entire running time from the start of running to the present. could not.

An object of the present invention is to provide a system, electronic device and program that can be gradually adapted to a target training level.

The system according to the first aspect of the present invention acquires exercise information which is information on the current exercise state of the bicycle driver, and the acquired exercise information is stored in advance in the first storage unit for driver training. A control means for controlling the output of the result by comparing with the ideal motion information which is the information of the ideal motion state according to the level is provided, and the first storage unit is provided with the ideal motion information of a bicycle once. The ideal exercise information occupying the total running time is identifiablely stored for each of the plurality of training levels, and the control means obtains the exercise information occupying the training time and the exercise information based on the acquired exercise information. It is characterized in that the ideal motion information corresponding to the training level selected by the driver from a plurality of training levels is read out from the first storage unit, and the driver controls to output them in a comparable manner.

According to the first aspect, the driver can compare his / her own exercise state with the ideal exercise state according to his / her target training level. Bicycle training levels vary and are represented by, for example, aerobic and anaerobic exercise levels. The ideal exercise state differs depending on these levels. In this aspect, whether or not one's own exercise state matches the ideal exercise state can be output in a comparable manner with the ideal exercise state according to the training level of the driver.

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

Then, when training is in progress, the exercise state occupying the training time from the start of running to the present time can be compared with the ideal exercise information. This makes it possible to grasp in real time how to approach the ideal exercise state during training. It is also possible to compare with the ideal exercise state even after this training is completed. In that case, since this training can be comprehensively evaluated, it can be used as an effective judgment material when making the next training plan.

Further, in the first aspect, in the first storage unit, ideal distribution information, which is information on the distribution of the exercise state in one total running time of the bicycle, is specified for each of the plurality of training levels as the ideal exercise information. Based on the acquired exercise information, the control means creates exercise distribution information which is information on the distribution of the exercise state in the current training time, and is selected by the driver from the plurality of training levels. The ideal distribution information according to the training level is read from the first storage unit, and the driver controls to output the created motion distribution information and the read ideal distribution information in a comparable manner. It is good to set it to. Since the distribution of the exercise state in the training time this time can be known, it is possible to know concretely how much the exercise state was during the whole training. Furthermore, by comparing with the ideal distribution of exercise states, it is possible to know whether the exercise states are excessive or insufficient. If you are in the middle of training, you can use it as a guide when adjusting the pace distribution after that.

In addition, the distribution of the exercise state in the total running time of the bicycle differs depending on the training level. In this aspect, in order to allow the driver to concentrate on the training level with a clear purpose, the distribution of the exercise state in the training time this time is compared with the ideal distribution of the exercise state suitable for the training level. Output. This makes it possible for the driver to be aware of the purpose of training and to systematically train.

Further, in the first aspect, the control means presents to the driver operation information for selecting at least one training level from the plurality of training levels, and the driver performs the operation unit on the operation unit based on the operation information. It is preferable to acquire the ideal exercise information according to the selected training level from the first storage unit, compare the acquired exercise information with the ideal exercise information, and output a result. Since the operation information for selecting the training level is presented to the driver, the driver can freely select the training level he / she wants. Ideal exercise information is stored in each of the plurality of training levels in the first storage unit, and ideal exercise information corresponding to the training level selected by the driver is acquired. As a result, it is possible to output in comparison with the ideal exercise state according to the training level of the driver.

Further, in the first aspect, the control means compares the motion information with the ideal motion information, and when the motion information does not match the ideal motion information, the control means brings the motion information closer to the ideal motion information. It is advisable to control the output of support information, which is the information of. When the exercise information does not match the ideal exercise information, the support information is output. Therefore, the driver can bring his / her own exercise state closer to the ideal exercise state by following the support information. When the driver concentrates on training, it is often difficult to determine whether the current state of exercise is excessive or insufficient. Since the driver can grasp his / her situation from the support information, he / she can perform appropriate training. In addition, the driver can maintain motivation by encouraging the support information.

Further, in the first aspect, the control means may perform control to readablely store the acquired motion information in the 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 the training is completed.

Further, in the first aspect, the control means may perform control to compare the acquired motion information with the past motion 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 is improved as compared with the past. In addition, by using past exercise information as a pacemaker, exercise ability can be further improved. It is also possible to stimulate the driver's motivation by targeting past exercise information.

Further, in the first aspect, the control means includes at least one of a cumulative value, an average value, an upper limit value, and a lower limit value for each predetermined period with respect to the past exercise information stored in the second storage unit. It is preferable to control the information to be calculated and stored in the third storage unit so as to be readable. As the past exercise information, characteristic information including at least one of the cumulative value, the average value, the upper limit value, and the lower limit value of the exercise information is calculated for each predetermined period in the past and stored in the third storage unit. As a result, the driver can understand the characteristics of the past motor information, and can clearly grasp, for example, how much his / her motor ability has improved or declined.

Further, in the first aspect, the control means may create graph information indicating a change in the motion information with time based on the acquired motion information, and control to output the graph information. By visually showing the change of the exercise information with time in a graph, the driver can quickly understand how the exercise state changes with the passage of time. Especially for the driver during training, since he / she can visually recognize his / her own motor state, he / she can intuitively judge his / her own motor state.

Further, in the first aspect, the control means reads out the ideal graph information based on the ideal movement information read from the first storage unit and the movement information stored in the second storage unit, and performs one training time. It is preferable to create the current graph information indicating the change of the motion information in the above and control the driver to output the ideal graph information and the current graph information in a comparable manner. By creating ideal graph information and current graph information and outputting them in a comparable manner by the driver, it is possible to visually compare the current exercise state with the ideal exercise state. Therefore, even the driver during training can make a concrete judgment on how to adjust the amount of exercise in order to approach the ideal.

Further, in the first aspect, a communication unit capable of transmitting and receiving data to and from other electronic devices is provided, and the control means uses the acquired self-motion information with the movement information of another driver received by the communication unit. It is advisable to control the comparison and output of the result. The communication unit can receive the movement information of another driver from another electronic device. Since the received motion information of the other driver can be output in comparison with the motion information of the self, the motion state of the other driver can be grasped and compared with the motion state of the self. In addition, by grasping the movement state of other drivers, competitiveness can be burned and motivation can be stimulated. Furthermore, by grasping the exercise state of other drivers, it is possible to make a bargain such as where to attack in the case of race training.

Further, in the first aspect, the exercise information includes at least the driver's heartbeat information, and the first storage unit contains the ideal distribution of the heartbeat as the ideal exercise information in one running time of the bicycle. The ideal heart rate distribution information shown in the graph is stored for each of the plurality of training levels, and the control means graphically shows the distribution of the heart rate in the current training time based on the acquired heart rate information of the driver. The heart rate distribution information is created, and the ideal heart rate distribution information corresponding to the training level selected by the driver from the plurality of training levels is read out from the first storage unit, and the created heart rate distribution information of the driver and the said It is preferable to control the output by comparing with 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 running time of the bicycle. In this aspect, the heartbeat distribution information which shows the information of the heartbeat distribution occupying the training time in the present time as a graph is created, and is output by comparing with the ideal heartbeat distribution information read from the first storage unit. Since the heartbeat clearly reflects the driver's exercise state, it is possible to grasp whether the running pace in this training is excessive or insufficient. For such heartbeats, the heartbeat distribution information created in this training is compared with the ideal heartbeat distribution information. As a result, the driver can objectively judge his / her own state as compared with the ideal state. As you train, you can clearly see if your current pace distribution is in line with or off your ideals. If the pace is adjusted 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 the maximum heart rate information which is the information of the driver's maximum heart rate, and based on the acquired maximum heart rate information, the ideal stored in the first storage unit. It is advisable to perform control for correcting the heart rate distribution information. The maximum heart rate depends on the person's basic physical fitness. In this embodiment, 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, it is possible to present the driver with a realistic training goal corresponding to the basic physical strength of the driver.

Further, in the first aspect, the control means has a predetermined value of the ratio of the reference heartbeat information, which is the heartbeat information having the highest ratio to the total running time of the bicycle, with respect to the maximum heartbeat information. , It is preferable to perform control for correcting the ideal heart rate distribution information. As a result, the ideal heartbeat distribution information can be appropriately corrected according to the magnitude of the maximum heartbeat. The maximum heart rate depends 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, the control means may perform control to calculate and acquire the maximum heart rate information based on the age input by the driver at the input unit. Since the maximum heart rate information according to the age is calculated only by inputting the age, the ideal heart rate distribution information according to the driver's age can be output.

Further, in the first aspect, it is preferable that the maximum heart rate information can be input by the input unit. Since the maximum heart rate information can be input at the input unit, the maximum heart rate information can be set freely.

Further, in the first aspect, the control means may control to determine the maximum heart rate information based on the heart rate information acquired from the heart rate monitor that measures the driver's heart rate while the bicycle is running. In this embodiment, the maximum heartbeat information can be determined by the raw information of the driver's heartbeat measured during driving, so that the ideal heartbeat information can be corrected by the maximum heartbeat information that reflects the driver's state in real time.

Further, in the first aspect, the control means acquires the resting heartbeat information which is the information of the driver's resting heartbeat, and based on the acquired maximum heartbeat information and the acquired resting heartbeat information, the control means. It is preferable to perform control for correcting the ideal heartbeat distribution information stored in the first storage unit. The resting heart rate also depends on the person's basic physical fitness. In this embodiment, since the ideal heart rate distribution information can be corrected according to the maximum heart rate information and the resting heart rate information, it can be compared with the ideal heart rate distribution information that further reflects the basic physical strength of the driver. Therefore, it is possible to present the driver with a realistic training goal corresponding to the basic physical strength of the driver.

Further, in the first aspect, the control means has a first difference obtained by subtracting the resting heartbeat information from the reference heartbeat information which is the heartbeat information having the highest ratio to the total running time of the bicycle, and the maximum time. It is preferable to control the correction of the ideal heartbeat distribution information so that the ratio to the second difference obtained by subtracting the reference heartbeat information from the heartbeat information becomes a predetermined value. As a result, the ideal heart rate distribution information can be appropriately corrected according to the magnitude of the maximum heart rate information and the resting information.

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

Further, in the first aspect, the control means may perform control to estimate the lactic acid value accumulated in the driver based on the acquired heartbeat information and output the lactic acid value information which is the information of the lactic acid value. .. Based on the heartbeat information, the lactate level accumulated in the current driver can be estimated and output as lactate level information. Lactic acid is an index for determining the degree of fatigue. By outputting the lactate level information, the driver can more realistically grasp his / her fatigue level.

Further, in the first aspect, the plurality of training levels include an anaerobic exercise level, and when the anaerobic exercise level is selected by the operating unit, the control means measures the running time at the anaerobic exercise level. Then, based on the measured running time and the heartbeat information acquired while running at the anaerobic exercise level, control for calculating and outputting the target value and time of the heartbeat for recovering the physical strength of the driver. It is good to do. Exercise at anaerobic levels cannot be maintained for extended periods of time. Therefore, the running time at the anaerobic exercise level is measured, the exercise state of the driver is detected by a sensor, and the target value of the exercise state for reducing the lactic acid is shown. By exercising so that the driver's own exercise state approaches the target value, the amount of lactic acid accumulated can be effectively reduced, so that assistance suitable for the driver can be easily performed.

Further, in the first aspect, the operation unit includes measurement instruction means for instructing the start and end of measurement by the measurement means for measuring the running time of the bicycle, and the control means from the start to the end of measurement by the measurement means. It is preferable to control so that one running time is defined as the total running time and the running time from the start of measurement by the measuring means to the present time is calculated as the training time this time. Since the driver can instruct the measurement start and end of the measurement means by the measurement instruction means, the driver can determine one running time at his / her own discretion. Therefore, for example, a slight stop during traveling can be ignored, and one traveling time can be appropriately determined. In addition, since the running time from the start of measurement by the measuring means to the present time is used as the training time this time, the exercise state occupying the running time up to the present time can be grasped even during running, so the pace distribution for approaching the ideal exercise state can be set. You can adjust it yourself.

The electronic device according to the second aspect of the present invention can be attached to a bicycle provided with the system according to any one of the above .

According to a second aspect, since it is attachable to a bicycle comprising a system according to any of the above, it is possible to obtain the effects described in any of the above.

The program according to the third aspect of the present invention is a program for operating a computer as a control means in the system according to any one of the above .

According to a third aspect, since to execute processing according to any of the above computer, it is possible to obtain the effects described above.

It is a block diagram which shows the electrical structure of the cyclocomputer 1. It is a graph which shows the ideal heart rate curves A to D of each training level. It is a conceptual diagram which shows various storage areas of a RAM 7. It is a conceptual diagram which shows various storage areas of a flash memory 9. It is a conceptual diagram of the ideal heart rate curve table 931. It is a conceptual diagram of the support voice table 941. It is a flowchart of a main process. It is a flowchart of a setting process. It is a flowchart of a resting heart rate setting process. It is a flowchart of a meter setting process. It is a flowchart of meter processing. It is a flowchart of a logging process. It is a flowchart of a training process. It is a flowchart of graph correction processing. It is a flowchart of the other person log information reception processing. It is a flowchart of another person's heartbeat reflection processing. It is a flowchart of an assist process. 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. It is a figure of the measurement screen of the resting heart rate. It is a figure of a split screen. It is a figure of a graph screen. It is a figure of a self-trainer screen. It is a figure of a workout screen. It is a figure of the training level selection screen. It is a figure which shows the correction method of the ideal heart rate curve E. It is the figure of the screen which displayed the heart rate curve of Mr. A and the ideal heart rate curve superimposed. It is the figure of the screen which displayed the heartbeat curve of Mr. B further superimposed on the screen of FIG. It is a figure of the graph display item selection screen. It is a graph of speed / time. It is a graph of speed / distance. It is a graph of CAD / time. It is a graph of CAD / heart rate. It is a figure of a velocity histogram.

Hereinafter, a cycle computer according to an embodiment of the present invention (hereinafter, referred to as "Psycon").
) 1 will be described with reference to the drawings. These drawings are used to illustrate the technical features that can be adopted by the present invention. The configuration, screen view, flowchart, etc. of the device described are not intended to be limited thereto, but are merely explanatory examples. The cyclocomputer 1 shown in FIG. 1 is an example of an electronic device attached to, for example, a bicycle frame.

First, the structure of the cyclocomputer 1 will be briefly described with reference to FIG. The cyclocomputer 1 includes a housing 2. The housing 2 is made of resin. The housing 2 is, for example, a substantially rectangular parallelepiped case having a length in one direction. A display unit 10 is provided on the upper surface. The display unit 10 has a vertically long rectangular shape in a plan view. Various information such as a bicycle running speed, cadence, and heartbeat can be displayed on the display unit 10. The display direction of the image displayed on the display unit 10 can be changed to either the vertical direction or the horizontal direction, for example. The vertical direction is, for example, the longitudinal direction of the upper surface of the housing 2. The lateral direction is, for example, a lateral direction orthogonal to the longitudinal direction.

On the front side (lower side of FIG. 1) of the display unit 10, four operation buttons 31 to 34 (hereinafter collectively referred to as "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 machine and determine a selection item. The operation button 33 is used, for example, to select an item or stop measuring the time. The operation button 34 is used, for example, to select an item or start measuring the time. The functions of the operation buttons 31 to 34 are not limited to this. 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 described. A training level is a type of training with exercise intensity aimed at the training goal. There are four training levels for road competition, for example:

1: [Recovery level]
The lowest intensity training level. It is done only for recovery after a high intensity load (race or training, eg muscle endurance level, development level, apex level).
2: [Basic endurance level]
Training level aimed at developing basic endurance and aerobic fitness. This level of training should clearly enhance aerobic fitness (lactate levels 0-3).
3: [Development level]
A training level that aims to develop endurance peculiar to racing. It is located on the border between aerobic and anaerobic exercise (lactate levels 3-6).
4: [Vertex level]
The goal is to raise the threshold of so-called anaerobic exercise level by training with an emphasis on instantaneous power and endurance of instantaneous power and combining it with development level training.
In addition to this, for example, there are an instantaneous power level, a muscle endurance level, a race level, and the like.

It is said that it is desirable for training athletes to perform only a few picked-up training levels among these various trainings. It is also important not to do different training levels at once. Therefore, in order to concentrate and effectively practice the target training level, for example, it is conceivable to perform training while measuring the driver's heartbeat. Heartbeat is the number of times the heart contracts in one minute. By measuring the heart rate, the exercise intensity of the training can be measured. Exercise intensity varies from training level to training level.

FIG. 2 graphically shows the relationship between the heart rate at each training level and the ratio (%) of the total running time of the bicycle as a heart rate distribution. Curve A is the ideal heart rate curve at the recovery level. Curve B is the ideal heart rate curve at the basic endurance level. Curve C is the ideal heart rate curve at the development level. Curve D is an ideal heart rate curve at the apex level. That is, the ideal heart rate curve for each training level is different. Therefore, the driver may adjust the running speed of the own vehicle so that the heart rate distribution during the running time of this training matches the ideal heart rate curve of the target training level. This allows the driver to properly practice the desired training level.

The cyclocomputer 1 of the present embodiment displays a heart rate curve which is a heart rate distribution in the running time of this training and an ideal heart rate curve which is an ideal heart rate curve in the total running time according to a target training level. It is displayed in comparison with 10. The driver can appropriately practice the target training level by adjusting the running 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 cyclocomputer 1 will be described with reference to FIG. The cyclocomputer 1 includes a control unit 3. The control unit 3 mainly controls the cyclocomputer 1. The control unit 3 is composed of a microcomputer or the like including a CPU 5, an EEPROM 6, a RAM 7, a flash memory 9, and the like. The EEPROM 6 stores, for example, various programs for controlling the cyclocomputer 1. The RAM 7 includes various storage areas (see FIG. 3) described later. The flash memory 9 includes various storage areas (see FIG. 4) described later.

A display unit 10, an operation button 11, a speaker 12, an altimeter 13, a sensor receiving unit 14, a wireless communication unit 15, and the like are connected to the control unit 3. The display unit 10 is, for example, a color liquid crystal display that displays various types of information. The speaker 12 outputs, for example, an alert, a voice, or the like. The altimeter 13 measures, for example, the altitude above sea level during traveling. The altimeter 13 is set, for example, by inputting the altitude above sea level of the local point into the cyclocomputer 1. The altimeter 13 measures the height difference based on the input altitude above sea level. The sensor receiving unit 14 receives various data transmitted from, for example, the speed sensor 21, the cadence sensor 22, the heart rate sensor 23, and the like. The wireless communication unit 15 can receive various log information transmitted from, for example, another cyclocomputer 40 attached to the bicycles of other athletes. The cyclocomputer 1 is operated by, for example, a battery 27. For example, it may be operated by a rechargeable battery.

The speed sensor 21 measures the speed of the bicycle by detecting, for example, a magnet (not shown) attached to the spokes (not shown) of the wheel, and wirelessly transmits the speed data to the cyclocomputer 1. The cadence sensor 22 measures, for example, the number of revolutions of the pedal, and wirelessly transmits the cadence data to the cyclocomputer 1. The heart rate sensor 23 is attached, for example, to the driver's chest. The heart rate sensor 23 measures the driver's heart rate and wirelessly transmits the heart rate data to the cyclocomputer 1.

Next, various storage areas of the RAM 7 will be described with reference to FIG. The RAM 7 includes a mileage storage area 71, a mileage storage area 72, a maximum heartbeat storage area 73, a resting heartbeat 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 lactic acid value storage area 79, a feature information storage area 80, and the like.

The mileage is stored in the mileage storage area 71. It is calculated from the mileage speed and the circumference of the wheel. The traveling time is stored in the traveling time storage area 72. The maximum heartbeat is stored in the maximum heartbeat storage area 73. The maximum heart rate is configurable. The resting heartbeat is stored in the resting heartbeat storage area 74. Resting heart rate can be set and measured. The measured heart rate data is logged in the heart rate log information storage area 75. The measured speed data is logged in the speed log information storage area 76. The measured cadence data is logged in the cadence log information storage area 77. The measured altitude data is logged in the altitude log information storage area 78. The lactate value is stored in the lactate value storage area 79. The lactate value can be calculated from, for example, heart rate and running time. Feature information is stored in the feature information storage area 80. The feature information is, for example, an upper limit value, a lower limit value, an average value, a cumulative value, or the like that characterizes changes in the past history log information such as speed, heart rate, cadence, and altitude.

Next, various storage areas of the flash memory 9 will be described with reference to FIG. 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. Personal information such as an individual's gender, age, and weight is stored in the personal information storage area 91. The history log information storage area 92 stores the history log information of each measurement item. The ideal heart rate curve table 931 (see FIG. 5) is stored in the ideal heart rate curve table storage area 93. The support voice table 941 (see FIG. 6) is stored in the support voice table storage area 94.

Next, the ideal heart rate curve table 931 will be described with reference to FIG. In the ideal heart rate curve table 931, for example, various graph information of the ideal heart rate curves A to E indicating the ideal ratio of the heart rate to the total running time of one bicycle is stored for each of the five training levels. There are five types of training levels: recovery level, basic endurance level, development level, apex level, and standard level. The graph information of the ideal heart rate curve A is associated with the recovery level and stored. The graph information of the ideal heart rate curve B is associated with the basic endurance level and stored. The graph information of the ideal heart rate curve C is associated with the development level and stored. The graph information of the ideal heart rate curve D is associated with the apex level and stored. The graph information of the ideal heart rate curve E is associated with the standard level and stored. The standard level ideal heart rate curve E is modified according to the individual's basic physical strength, for example, based on the individual's maximum heart rate and resting heart rate.

Next, the support voice table 941 will be described with reference to FIG. In the support voice table 941, the error range, the error level, and the support voice information are stored in association with each other. The error is an error when the heart rate distribution in this training is compared with the ideal heart rate distribution at the target training level. Specifically, for example, when the heartbeat having the highest proportion of the heartbeat distribution in this training (hereinafter referred to as "reference heartbeat") is compared with the reference heartbeat of the ideal heartbeat distribution at the target training level. It is an error. The error range is, for example, five ranges of -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 stages. For example, -2% to + 2% is error level 0, 3 to 10% is error level +1, 11% or more is error level +2, -3 to -10% is error level -1, and -11% or less is error level-. It is 2. The assist voice information is, for example, voice data output to assist the driver according to each error level. For example, the voice data of "It is in that condition" is stored for the error level 0. For example, voice data of "a little slower" is stored for an error level of +1. For example, the voice data of "overloading" is stored for the error level +2. For example, the voice data of "a little faster !!" is stored for the error level -1. For example, the voice data of "faster !!" is stored for the error level -2.

Next, the main process by the CPU 5 will be described with reference to the flowcharts of FIGS. 7 to 20 and the screen views of FIGS. 21 to 37. In the following description, the control of the cyclocomputer 1 by the CPU 5 will be described together with the screen displayed on the display unit 10. For example, when the operation button 32 (see FIG. 1) of the cyclocomputer 1 is pressed by the driver 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 side by side as the main menu. From top to bottom, for example, "meter", "data management", "training", "meter setting", "setting". The driver can select the screen to be displayed on the display unit 10 from the five screen types. When the driver selects a type with the operation button 11, for example, the color of the item of that type is highlighted. On the meter screen, for example, information necessary during driving such as speed, cadence, heart rate, elapsed time, mileage, lap, etc. can be selected from 45 items, for example, 2 to 8 split screens, graph screens, self The trainer screen etc. can be displayed. On the data management screen, for example, the history contents saved so far can be viewed, edited, analyzed, deleted, and the like. On the training screen, for example, the heart rate distribution during the training running time can be displayed in real time, and can be displayed in comparison with the ideal distribution of the heart rate during the total running time according to the target training level. On the meter setting screen, for example, display items to be displayed on the meter screen can be set. 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 or not the meter is selected (S2). When it is determined that the meter is selected (S2: YES), the meter processing is executed (S7). When the CPU 5 determines that the meter is not selected (S2: NO), the CPU 5 determines whether or not data management is selected (S3). When it is determined that the data management is selected (S3: YES), the data management process is executed (S8). When the CPU 5 determines that neither the meter nor the data management is selected (S2: NO, S3: NO), it determines whether or not the training is selected (S4). When it is determined that training has been selected (S4: YES), the training process is executed (S9).

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

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

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

When the CPU 5 determines that neither gender nor age has been selected (S16: NO, S17: NO), it determines whether or not the body weight has been selected (S18). When it is determined that the weight has been selected (S18: YES), the weight setting process is executed (S23). In the weight setting process, the CPU 5 stores the weight information input by the driver with 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, or body weight is selected (S16: NO, S17: NO, S18: NO), it determines whether or not the resting heart rate is selected (S19). When it is determined that the resting heart rate is selected (S19: YES), the resting heart rate setting process is executed (S24). The resting heart rate setting process will be described later.

When the CPU 5 determines that none of gender, age, weight, or resting heart rate is selected (S16: NO, S17: NO, S18: NO, S19: NO), it determines whether or not the maximum heart rate is selected. (S20). When it is determined that the maximum heart rate has been selected (S20: YES), the maximum heart rate setting process is executed in S (S25). In the maximum heart rate setting process, the CPU 5 stores the maximum heart rate information input by the driver with the operation button 11 in the maximum heart rate storage area 73 (see FIG. 3) of the RAM 7. The maximum heart rate may be calculated by, for example, the following formula (1). The maximum heart rate obtained by the calculation formula (1) is a general numerical value. Therefore, if there is a maximum heart rate measured by actual exercise or the like, it is advisable to enter that value. Further, the CPU 5 may automatically calculate from the input age based on the calculation formula (1).
・ Maximum heart rate = 220-age ・ ・ ・ (1)

When the CPU 5 determines that none of gender, age, weight, resting heart rate, and maximum heart rate is selected (S16: NO, S17: NO, S18: NO, S19: NO, S20: NO), The process returns to S16 and the process is repeated. When the CPU 5 finishes any of the processes S21 to S25, the CPU 5 ends this process and returns to S11 of the main process of FIG.

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

When the CPU 5 determines that the manual input is not selected (S32: NO), the CPU 5 determines whether or not the measurement is selected (S35). When the CPU 5 determines that neither manual input nor measurement is selected (S32: NO, S35: NO), it returns to S32 and repeats the process. When it is determined that the measurement is selected (S35: YES), for example, the permission screen 37 shown in FIG. 23B is displayed, and it is determined whether or not the operation to start the measurement has been performed by the driver (S36). For example, the message "Start measuring the resting heart rate" is displayed on the permission screen 37, and the items "Yes" and "No" can be selected below it.

The CPU 5 returns to S36 and enters a standby state until "Yes" is selected by the driver and the measurement start operation is performed (S36: NO). When the CPU 5 determines that the measurement start operation has been performed (S36: YES), the CPU 5 starts the heart rate measurement (S37). At this time, the CPU 5 may display, for example, the message "Measuring the resting heart rate". When the measurement is completed, for example, the message "Measured" may be displayed. The CPU 5 stores the measured value in the resting heartbeat 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 of FIG.

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

The split screen shown in FIG. 24 is, for example, a four-split screen. From top to bottom, for example, time, speed, distance, and heart rate items are displayed. The split screen is not limited to 4 split screens, and for example, any one split screen can be selected from 2 to 8 split screens. The number of items to be displayed differs depending on the number of divisions.

The graph screen shown in FIG. 25 displays, for example, two graphs up and down. On the upper side, for example, a graph showing the speed change with respect to the traveling time is displayed. On the lower side, for example, a graph showing the cadence change with respect to the traveling time is displayed. The type of graph displayed on the graph screen is 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 the distance difference between the own vehicle 45 and the preset target 46. The own vehicle 45 moves according to the actual traveling time and distance. The target 46 moves according to preset target information (for example, target speed, target time, etc.). The target information is stored in the target information storage area 96 (see FIG. 4) of the flash memory 9. Further, at the lower part of the screen, for example, the current speed, the target speed, the target time difference, the target distance difference, and the like are displayed.

The workout screen shown in FIG. 27 displays, for example, display items according to the setting contents of the workout. 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, a target value specified from preset speed, cadence, and heart rate zones and displayed on the screen during the step. In the column of each step, for example, the end condition of the workout of each step is displayed.

Returning to FIG. 10, the CPU 5 determines whether or not the “split screen” is selected (S42). When it is determined that the split screen is selected (S42: YES), the split setting process is executed (S46). The split setting process is a process of setting the meter screen to the split screen, having the driver input and select the number of screen divisions, display items, and the like, and storing the screen in the flash memory 9. When the CPU 5 finishes the division setting process, it finishes the meter setting process and returns to S10 of the main process of FIG.

Further, when the CPU 5 determines that the split screen is not selected (S42: NO), the CPU 5 determines whether or not the "graph screen" is selected (S43). When it is determined that the graph screen is selected (S43: YES), the graph setting process is executed (S47). The graph setting process is a process of setting the meter screen to the graph screen, for example, causing the driver to select the type of graph to be displayed on the graph screen, and storing the selected contents in the flash memory 9. The CPU 5 displays, for example, a graph selection item, and causes the driver to select from the graph selection items. As the graph selection items, for example, speed / time, speed / distance, cadence / time, cadence / distance, heart rate / time, heart rate / distance, altitude / time, altitude / distance, CAD / heart rate and the like are possible. When the CPU 5 finishes the graph setting process, it finishes the meter setting process and returns to S10 of the main process of FIG.

Further, when the CPU 5 determines that neither the split screen nor the graph screen is selected (S42: NO, S43: NO), it determines whether or not the "self-trainer screen" is selected (S44). When it is determined that the self-trainer screen is selected (S44: YES), the self-trainer setting process is executed (S48). In the self-trainer setting process, the meter screen is set to the self-trainer screen, for example, the driver is made to input the target information, and the input content is stored in the target information storage area 96 (see FIG. 4) of the flash memory 9. Is. When the CPU 5 finishes the self-trainer setting process, it finishes the meter setting process and returns to S10 of the main process of FIG.

Further, when the CPU 5 determines that none of the split screen, the graph screen, and the self-trainer screen is selected (S42: NO, S43: NO, S44: NO), it determines whether or not the "workout screen" is selected. (S45). When it is determined that the workout screen is selected (S45: YES), the workout setting process is executed (S49). In the workout setting process, the meter screen is set to the workout screen, and the driver is made to input workout information such as the workout end condition and the number of steps, and the input contents are input to the workout information of the flash memory 9. This is a process of storing in the storage area 95 (see FIG. 4). When the CPU 5 finishes the workout setting process, it finishes the meter setting process and returns to S10 of the main process of FIG.

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, the meter processing will be described with reference to FIG. First, the CPU 5 determines whether or not the meter screen is divided and set (S51). When it is determined that the division is set (S51: YES), for example, the division screen shown in FIG. 24 is displayed (S55). When the CPU 5 determines that the division is not set (S51: NO), it determines whether or not the graph is set (S52). When it is determined that the graph is set (S52: YES), for example, the graph screen shown in FIG. 25 is displayed (S56). When the CPU 5 determines that neither the division setting nor the graph setting is made (S51: NO, S52: NO), it determines whether or not the self-trainer is set (S53). When it is determined that the self-trainer is set (S53: YES), for example, the self-trainer screen shown in FIG. 26 is displayed (S57).

Further, when the CPU 5 determines that none of the division setting, the graph setting, and the self-trainer setting is set (S51: NO, S52: NO, S53: NO), it is determined whether or not the workout is set (S54). .. When it is determined that the workout is set (S54: YES), for example, the workout screen shown in FIG. 27 is displayed (S58). If the CPU 5 determines that none of the division setting, graph setting, self-trainer setting, and workout setting has been made (S51: NO, S52: NO, S53: NO, S54: NO), an error occurs in the display unit 10. The display is performed (S65), the meter setting process is completed, and the process returns to S10 of the main process of FIG.

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

Here, the logging process will be described with reference to FIG. This process is a process that the CPU 5 periodically and repeatedly executes. First, the CPU 5 acquires speed information from the speed sensor 21 (see FIG. 1) via the sensor receiving unit 14 (S71). Further, cadence information is acquired from the cadence sensor 22 (see FIG. 1) via the sensor receiving unit 14 (S72). Further, the heart rate information is acquired from the heart rate sensor 23 (see FIG. 1) via the sensor receiving unit 14 (S73). Further, the altitude information of the own vehicle is acquired from the altimeter 13 (see FIG. 1) (S74). The CPU 5 transfers the acquired heart rate information, speed information, cadence information, and altitude information to 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, and the like of the RAM 7. Memorize each (S75).

When the process returns to the meter process of FIG. 11 and the logging process (S60) is started, for example, as shown in FIGS. 24 to 27, the speed log information, the cadence log information, the heart rate log information, and the heart rate log information acquired by the logging process, and The altitude log information reflects the display unit 10 on each screen and displays it. Next, the CPU 5 determines whether or not the operation button 11 is pressed by the driver to complete the operation (S62). Until the termination operation is performed (S62: NO), the CPU 5 returns to S61 and updates the display at any time. When the CPU 5 determines that the termination operation has been performed by the driver (S62: YES), the CPU 5 terminates the logging process (S63). Then, the CPU 5 stores 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 information of the date and time in the Christian era (S64). The CPU 5 finishes the meter processing and returns to S7 in FIG.

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

The CPU 5 determines whether or not one item is selected by the driver by the operation button 11 and the selection confirmation operation is performed (S82). The CPU 5 returns to S82 and goes into a standby state until the selection confirmation operation is performed (S82: NO). When the CPU 5 determines that the selection confirmation operation has been performed (S82: YES), the graph information of the ideal heart rate curve of the selected training level is stored in the flash memory 9 in the ideal heart rate curve table 931 (see FIG. 5). Obtained from (S83). For example, when the recovery level item is selected, the CPU 5 acquires the graph information of the ideal heart rate curve A from the ideal heart rate curve table 931.

Next, the CPU 5 determines whether or not the selected training level is a standard level (S84). If the driver wants to train according to his / her basic physical strength, for example, the standard level may be selected. The standard level ideal heart rate curve E 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), the CPU 5 executes the graph correction process (S85). The graph correction process is a process for correcting the ideal heart rate curve E based on, for example, the driver's resting heart rate and maximum heart rate. When the CPU 5 determines that the standard level is not selected (S84: NO), the CPU 5 executes the next step (S86) without performing the graph correction process.

Here, the graph correction process will be described with reference to FIG. First, the CPU 5 acquires the maximum heartbeat stored in the maximum heartbeat 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 the reference heart rate of the ideal heart rate curve based on the acquired maximum heart rate and the resting heart rate (S113). The reference heartbeat is the heartbeat that accounts for the highest proportion of the total running time on the heartbeat curve. For example, the difference between the reference heart rate and the resting heart rate is defined as X1 (corresponding to the "first difference" of the present invention), and the difference between the maximum heart rate and the reference heart rate is defined as X2 (corresponding to the "second difference" of the present invention). In this case, the reference heartbeat 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. The reference heart rate may be calculated only from the maximum heart rate. For example, the 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 heartbeat curve E based on the calculated reference heartbeat (S114).

Next, the CPU 5 displays the 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 confirm the ideal heart rate curve of the target training level displayed on the display unit 10 before driving. Therefore, the training goal using the heart rate as an index becomes clear. Next, the CPU 5 determines whether or not the operation button 11 is pressed by the driver to start the driving (S87). The CPU 5 returns to S87 and goes into a standby state until the operation to start traveling is performed (S87: NO).

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

Here, the other person log information reception process will be described with reference to FIG. The other person log information reception process is a process that is executed periodically. First, the CPU 5 transmits a log information request signal to another cyclocomputer 40 (see FIG. 1) attached to each bicycle on which the other athletes ride (S121). When the other cyclocomputer 40 receives the log information request signal, it extracts various log information from the start of running in this training to the present from the memory and returns it to the cyclocomputer 1.

The CPU 5 determines whether or not various log information has been received from another cyclocomputer 40 (S122). Until the log information is received (S122: NO), the system returns to S122 and enters a standby state. When the CPU 5 determines that the log information has been received from the other cyclocomputer 40 (S122: YES), the CPU 5 stores the received log information in the RAM 7 together with the identification information of the other cyclocomputer 40 (123), and performs the other person log information reception process. finish.

Returning to FIG. 13, the CPU 5 determines whether or not a predetermined time has elapsed from the start of traveling (S90). Until the predetermined time elapses (S90: NO), the system returns to S90 and is in a standby state. When the CPU 5 determines that the predetermined time has elapsed (S90: YES), the CPU 5 acquires the heart rate log information stored in the heart rate 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). Further, the created heart rate curve graph is superimposed and displayed on the ideal heart rate curve previously displayed on the display unit 10 (S94).

For example, as shown in FIG. 30, the display unit 10 superimposes the ideal heart rate curve of the target training level and the heart rate curve of the driver A's current training. For example, it is obvious that Mr. A's heart rate curve has a lower overall heart rate than the ideal heart rate curve. In other words, it can be seen that the exercise intensity is insufficient when viewed at the target training level. Therefore, Mr. A tries to raise his heart rate by pedaling further, so that Mr. A's heart rate curve gradually approaches the ideal heart rate curve.

Returning to FIG. 13, the CPU 5 then calculates the lactic acid value from the traveling time and the heartbeat so far, and further displays it on the display unit 10 (S95). The lactic acid value may be calculated by a calculation formula, or may be determined by a table or the like in which the running time, the heartbeat, and the lactic acid value are associated with each other. Lactic acid is an indicator of fatigue. Therefore, the driver can grasp the current state of physical fatigue by checking the current lactic acid level at any time. Then, the CPU 5 executes the other person's heartbeat reflection process (S96).

Here, the heartbeat reflection processing of others will be described with reference to FIG. First, the CPU 5 extracts and acquires the heartbeat log information of another person from, for example, the log information of Mr. B stored in the RAM 7 (S131). The other person's heartbeat log information is heartbeat log information. Next, the CPU 5 calculates the heart rate ratio to the current traveling time based on the acquired heart rate log information of the other person (S132), and creates the heart rate curve of the other person by Mr. B (S133). Then, as shown in FIG. 31, the created other person's heartbeat curve of Mr. B is superimposed on the heartbeat curve of Mr. A and the ideal heartbeat curve (S34). As a result, Mr. A can confirm the exercise state of Mr. B (heartbeat in this embodiment), so that he can, for example, bargain in a race. Furthermore, the motivation for training is stimulated. In addition, if there is an abnormality in Mr. B's heartbeat, he can respond quickly to Mr. B. The CPU 5 finishes the other person's heartbeat reflection process and returns to S96 of the training process of FIG. Next, the CPU 5 executes the assist process (S97).

Here, the assist process will be described with reference to FIG. First, the CPU 5 identifies and acquires the 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 reference heart rate of the ideal heart rate curve is 150 bpm and the reference heart rate of Mr. A's heart rate curve this time is 125 bpm, the error is -17% (for example, rounded to the nearest whole number).

Next, the CPU 5 determines the error level of the calculated error by referring to the support voice 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 determines the support voice by referring to the support voice table 941 (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). By listening to the "faster !!" voice output from the speaker 12, Mr. A strives to pedal further and increase the speed, so it is possible to gradually adjust to the training level aimed at his own heartbeat. it can. In addition to the voice, for example, as shown in FIG. 30, the message "Faster !!" may be displayed. Further, a message may be displayed instead of the voice. The CPU 5 ends the assist process and returns to S97 of the training process of FIG.

Then, the CPU 5 determines whether or not the operation button 11 is pressed by the driver to end the driving (S99). Until the operation of ending the running is performed (S99: NO), the process returns to S90 and the process is repeated. When the CPU 5 determines that the running end operation has been performed (S99: YES), the logging process is terminated, and various log information stored in the RAM 7 is stored as history log information in the history log information storage area 92 of the flash memory 9. (S101). In this way, the CPU 5 finishes the training process and returns to S9 of the main process of FIG.

Next, the data management process will be described with reference to FIG. First, the CPU 5 displays the 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, the date information of the Christian era and the date and time when the bicycle training is practiced is displayed as a list on the display unit 10. The driver selects any one of the history dates and times 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 or not the selection confirmation operation has been performed by the driver (S152). Until the selection confirmation operation is performed (S152: NO), the system returns to S152 and is in 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, for example, the maximum value, the minimum value, and the average value of speed, cadence, heart rate, altitude, etc. based on the acquired history log information, and uses these as the feature information in the feature information storage area 80 of the RAM 7 (see FIG. 3). ) (S154). The 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). For example, two items, "graph" and "histogram", are displayed on the graph type selection screen. The driver selects any 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 or not the graph has been selected by the driver (S156). When the graph is selected (S156: YES), the 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, for example, a line graph are displayed on the type selection screen. For example, there are 10 types of speed / time, speed / distance, cadence (CAD) / time, CAD / distance, heartbeat / time, heartbeat / distance, altitude / time, altitude / distance, and CAD / heartbeat. The driver selects any one of the 10 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 / heart rate graph display item is selected, the graph shown in FIG. 36 is displayed. Since the graph can be displayed with these various combinations, it is possible to analyze under various situations. In addition to the above supplements, the items to be combined may be displayed in a graph by combining, for example, the lactic acid value, power, wind speed, temperature, humidity, gear ratio, gradient, body weight, body fat percentage, and the like. Then, as shown in FIGS. 33 to 36, the CPU 5 has a maximum value and a minimum value of each measured value based on the feature information stored in the feature information storage area 80 (see FIG. 3) of the RAM 7 inside each graph. , Display the average value. This allows the driver to perform a more detailed analysis of past training.

Then, the CPU 5 determines whether or not the operation button 11 is pressed by the driver and the end operation is performed (S161). Until it is determined that the end operation has been performed (S161: NO), the process returns to S159 and the line graph is continuously displayed. When the CPU 5 determines that the end operation has been performed (S161: YES), the CPU 5 ends the data management process and returns to S8 of the main process of FIG.

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

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

Then, the CPU 5 determines whether or not the speed is selected (S172). When 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 in the total traveling 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 the speed is not selected (S172: NO), it determines whether or not the cadence is selected (S173). When it is determined that the cadence is selected (S173: YES), the cadence log information of the selected history date and time is extracted from the history log information storage area 92 of the flash memory 9 and acquired (S179). The CPU 5 calculates the cadence distribution over the total running time based on the acquired cadence log information (S180). Based on the calculated cadence distribution, the CPU 5 displays the same cadence histogram (not shown) as in FIG. 37 on the display unit 10 (S181).

Further, when the CPU 5 determines that neither speed nor cadence is selected (S172: NO, S173: NO), it determines whether or not the heartbeat is selected (S174). When it is determined that the heartbeat is 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 heart rate distribution over the entire running time based on the acquired heart rate log information (S183). Based on the calculated heartbeat distribution, the CPU 5 displays a heartbeat histogram (not shown) similar to that in FIG. 37 on the display unit 10 (S184). Since any one of the three histograms of "speed", "cadence", and "heartbeat" can be displayed on the display unit 10 in this way, the driver can clearly grasp the distribution of each measured value in the total traveling time.

The CPU 5 determines whether or not the operation button 11 is pressed by the driver and the end operation is performed (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. When the CPU 5 determines that the end operation has been performed (S178: YES), the CPU 5 ends the histogram process and returns to S160 of the data management process of FIG. Then, the CPU 5 ends the data management process and returns to S8 of the main process of FIG.

In this way, the process returns to the main process of FIG. 7, and when the CPU 5 finishes each process, it determines whether or not the power is turned off (S12). When the CPU 5 determines that the power is not turned off (S12: NO), the CPU 5 returns to S1 and repeats the process. When the CPU 5 determines that the power is turned off (S12: YES), the CPU 5 saves the setting contents of the cyclocomputer 1 up to that point in the flash memory 9 (S13), and ends the main process.

As described above, in the cyclocomputer 1 of the present embodiment, the heart rate curve which is the heart rate distribution in the running time of this training and the ideal heart rate which is the ideal heart rate curve in the total running time according to the target training level. The curve can be displayed on the display unit 10 in a comparable manner. The driver can appropriately practice the target training level by adjusting the running speed so that the current heart rate curve displayed on the display unit 10 matches the ideal heart rate curve.

Further, in the present embodiment, in particular, the driver can compare his / her own exercise state with the ideal exercise state according to his / her target training level. Bicycle training levels vary and are represented by, for example, aerobic and anaerobic exercise levels. The ideal exercise state differs depending on these levels. In this aspect, whether or not one's own exercise state matches the ideal exercise state can be output in a comparable manner with the ideal exercise state according to the training level of the driver.

Further, in the present embodiment, in order to manage the exercise state for each training, the flash memory 9 has graph information of the ideal heart rate curve, which is the information of the ideal heart rate occupying the total running time of the bicycle. Is memorized for each of multiple training levels. The driver can compare the graph information of the heartbeat curve, which is the heartbeat information occupying the training time, with the ideal heartbeat curve. Therefore, for example, it is possible to recognize how far the training level is from the ideal exercise state and how to approach the ideal exercise state.

Then, when training is in progress, the exercise state occupying the training time from the start of running to the present time can be compared with the ideal exercise information. This makes it possible to grasp in real time how to approach the ideal exercise state during training. It is also possible to compare with the ideal exercise state even after this training is completed. In that case, since this training can be comprehensively evaluated, it can be used as an effective judgment material when making the next training plan.

The present invention is not limited to the above embodiment, and various modifications can be made. For example, anaerobic exercise is dominant at the apex level, so it is said that lactic acid is likely to accumulate in the body. Such anaerobic exercise cannot be maintained for a long time. Lactic acid accumulated in the body also causes fatigue. Therefore, after performing anaerobic exercise, it is necessary to lower the heart rate to the recovery level or the basic endurance level, reduce the lactic acid accumulated in the body, and recover the 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 fitness recovery guide process after executing the operation of ending the running (S99: YES).

Therefore, the physical strength recovery guide process will be described with reference to FIG. First, the CPU 5 acquires the total running time at the vertex level (S191). The CPU 5 then detects the heartbeat (S192). Further, based on the acquired traveling 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 grasp the fatigue situation of his / her body. Next, the CPU 5 displays the target heartbeat (S194). The target heartbeat can be set in advance in the flash memory 9 or the like. The target heart rate should be about the recovery level or the basic endurance level. Next, the CPU 5 determines the recovery time to be run after reaching the target heartbeat, and displays it on the display unit 10 (S195). The recovery time is, for example, the time required to perform recovery level training and recover the accumulated lactic acid to an energy source. As a method for determining the recovery time, a table or the like capable of specifying the recovery time from the lactic acid value and the heartbeat may be used, or the recovery time may be calculated by a calculation formula.

Next, the CPU 5 determines whether or not the operation button 11 is pressed by the driver to start the driving (S196). Until it is determined that the operation to start traveling has been performed (S196: NO), the system returns to S196 and is in a standby state. When the CPU 5 determines that the operation to start running has been performed (S196: YES), the CPU 5 receives the heartbeat data from the heartbeat sensor and displays it on the display unit 10 (S197). Next, the CPU 5 determines whether or not the heartbeat has dropped to the target heartbeat (S198). The CPU 5 returns to S197 and continues the heartbeat display until it determines that the heartbeat has dropped to the target heartbeat (S198: NO).

Then, when the CPU 5 determines that the heartbeat has dropped to the target heartbeat (S198: YES), the CPU 5 starts measuring the running time (S199). The CPU 5 determines whether or not the traveling time has reached the recovery time (S200). The CPU 5 returns to S200 and enters a standby state until it is determined that the running time has reached the recovery time (S200: NO). When the CPU 5 determines that the travel 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 a termination message is displayed on the display unit 20 and this process is performed. To finish. When this process is completed, the CPU 5 may proceed to S12 of the main process of FIG. 7.

In addition to the above modifications, the present invention can be modified in various ways. For example, in the above embodiment, the driver's heartbeat is measured, and the distribution of the heartbeat occupying the training time is shown as a heartbeat curve in a graph, so that the driver's exercise state is clearly displayed. In addition to heart rate, for example, speed, cadence, etc. may be used as an index indicating an exercise state. In other words, the speed and cadence distribution in this training time may be displayed in a graph.

Further, in the above embodiment, the cyclocomputer 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 further, for example, a multifunctional mobile phone having a PDA function. Is also applicable.

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

Claims (2)

It is equipped with a first storage unit that stores ideal exercise information according to multiple training levels that can be selected by the driver, which is the heart rate distribution that is the relationship between the heart rate and the ratio to one training. ,
The exercise information , which is the heartbeat distribution, which is the relationship between the heartbeat and the ratio of the heartbeat to one training, in the training time from the start of running of the bicycle driver to the present time is acquired, and among the acquired exercise information . most proportion of the first reference heartbeat is high heart, the driver second is the highest percentage of heart rate of the heart rate distribution of the ideal motion information of the first storage unit corresponding to the training level selected It is equipped with a control means that controls the output of the result in comparison with the reference heart rate .
It has a function to output different voices according to the difference between the first reference heartbeat and the second reference heartbeat .
A system characterized by having a function of outputting a voice indicating that an overload is applied when the first reference heartbeat exceeds the second reference heartbeat . A program for realizing the function of the control means of the system according to claim 1 on a computer.

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