JP2018075382A - Drive recorder and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system, electronic apparatus, and program capable of comparing an own exercise state with an ideal exercise state according to a targeted training level and performing comprehensive evaluation through one-time training.SOLUTION: A cyclocomputer includes a control part, a sensor reception part, a display part, and the like. The sensor reception part receives data transmitted from a heartbeat sensor attached to a body of a user. The control part stores the data from the heartbeat sensor along with a lapsed time of the exercise, calculates heart beat distribution to a full travel time on the basis of a stored maximum heart rate and minimum heart rate, and displays the heart beat distribution of the user and an ideal heart beat distribution on a display part in a comparable manner. Further, the control part derives a lactic acid value accumulated on the basis of exercise intensity and exercise time and displays it on the display part.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, a cycle computer (hereinafter referred to as “saikon”) that can be attached to a bicycle and that can measure the speed, travel distance, etc. of the bicycle is known. Saikon is a kind of so-called speedometer, but in addition to travel distance, total distance, travel time, and cadence, recently there is also a multi-function one that can measure heart rate, calorie consumption, and the like. Therefore, athletes who play an active role in road competitions, for example, attach such multi-functional saikon to bicycles and perform various training while grasping their own exercise state. For example, an optimal exercise amount setting device that measures and displays a pulse (also referred to as a heartbeat) of a person who runs a bicycle and compares it with an optimal pulse range is known (see, for example, Patent Document 1).

  Athletes who play an active role in road competitions need to have training plans that include development and diagnosis of their skills, focusing on their abilities and the particularity of the players. In addition, it is important to be systematized with the purpose of training in mind. In other words, it is desirable to perform only the intended training, not the various trainings at once. Therefore, athletes need to grasp their own exercise state according to the target training level.

Japanese Patent Laid-Open No. 7-17461

  However, the optimal exercise amount setting device described in Patent Document 1 only measures the reference pulse rate of the exerciser, and calculates and displays the optimal pulse range according to the sex and age of the exerciser from the reference pulse rate. There were cases where the pulse range was not optimal for the training level intended by the athlete.

  Also, in road competition, 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 starting to stopping depends on the type of training level Each is different. For example, in the aerobic exercise level, the range of the heart rate in the total running time is wide, and ideally, it is as low as 120 first half (times / minute) as a whole. On the other hand, at the training level of anaerobic exercise, the range of the heart rate occupying the entire running time is narrow and ideally high in the latter half of 180 (times / minute). However, with the above device, it is only possible to compare the current pulse and the optimal pulse range according to gender, age, and reference pulse rate. could not.

  An object of the present invention is to provide a system, an electronic device, and a program that can be compared with an ideal exercise state corresponding to a training level intended for the self-exercise state and can be comprehensively evaluated through one training. Is to provide.

  The system according to the first aspect of the present invention acquires exercise information, which is information on the current exercise state of a bicycle driver, and trains the driver stored in advance in the first storage unit. Control means for performing a control to output a result compared with ideal exercise information that is information of an ideal exercise state according to the level, the first storage unit as a single cycle of the bicycle as the ideal exercise information The ideal exercise information occupying the total travel time is stored so as to be identifiable for each of the plurality of training levels, the control means, based on the acquired exercise information, the acquired exercise information occupying the current training time, The ideal exercise information corresponding to the training level selected by the driver from a plurality of training levels is read from the first storage unit and output so that the driver can perform comparison. And performing control.

  According to the first aspect, the driver can compare his / her exercise state with an ideal exercise state according to the training level intended by the driver. There are various training levels for bicycles, such as aerobic exercise level and anaerobic exercise level. The ideal exercise state differs depending on these levels. In this aspect, whether or not the own exercise state matches the ideal exercise state can be output in a manner comparable to the ideal exercise state according to the driver's training level.

  Especially in this aspect, 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 training level. doing. The driver can compare the information on the exercise state in the current training time with the ideal exercise information read from the first storage unit. Therefore, for example, it can be recognized how far the ideal training state is from the ideal exercise state and how it can approach the ideal exercise state.

  And when it is training, it can compare with the ideal exercise information about the exercise state which occupies the training time from the start of running to the present time. In this way, it is possible to grasp in real time how close to the ideal exercise state can be achieved during training. In addition, it can be compared with the ideal exercise state even after the end of this training. In that case, since comprehensive evaluation can be performed for the current training, it can be used as an effective judgment material when the next training plan is made.

  Further, in the first aspect, the first storage unit specifies ideal distribution information, which is information on a distribution of an exercise state occupying in one total traveling time of a bicycle, as the ideal exercise information 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 state in the current training time, and is selected by the driver from the plurality of training levels. The ideal distribution information corresponding to the training level is read from the first storage unit, and the control is performed so that the driver can output the generated motion distribution information and the read ideal distribution information in a comparable manner. It is good to. Since the distribution of the exercise state occupying this training time can be known, it is possible to know in detail how much the exercise state was throughout the training. Furthermore, by comparing with the distribution of ideal motion states, it is possible to know whether the motion states are excessive or insufficient. If you are in the middle of training, it will also be a guide for adjusting the pace distribution thereafter.

  In addition, the distribution of the exercise state occupying the total travel time of the bicycle varies depending on the training level. This mode compares the distribution of the exercise state in the current training time with the ideal distribution of the exercise state that matches the training level so that the driver can concentrate on the training level with a clear purpose. Output. As a result, the driver can be made aware of the training purpose and trained systematically.

  In the first aspect, the control means presents operation information for selecting at least one training level from the plurality of training levels to the driver, and the driver uses the operation unit based on the operation information. The ideal exercise information corresponding to the selected training level may be acquired from the first storage unit, and the acquired exercise information may be compared with the ideal exercise information to output a result. Since the operation information for selecting the training level is presented to the driver, the driver can freely select his / her desired training level. In the first storage unit, ideal exercise information is stored for each of the plurality of training levels, and ideal exercise information corresponding to the training level selected by the driver is acquired. Thereby, it can output so that it can compare with the ideal exercise state according to a driver | operator's training level.

  In the first aspect, the control means compares the motion information with the ideal motion information, and brings the motion information closer to the ideal motion information when the motion information does not match the ideal motion information. It is preferable to perform control to output the support information that is the information. Since the support 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 support information. When a driver concentrates on training, it is often difficult to determine whether the current exercise state is excessive or insufficient. Since the driver can grasp his / her situation from the support information, appropriate training can be performed. Drivers can continue to be motivated by supporting information.

  In the first aspect, the control means may perform control for storing the acquired exercise information in a readable manner in the second storage unit. Since the acquired exercise information is stored in the second storage unit, for example, after the training is finished, the exercise analysis can be performed by reading the exercise information stored in the second storage unit.

  In the first aspect, the control means may perform control to compare the acquired exercise information with past exercise information stored in the second storage unit and output a result. Since the acquired current exercise information is 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. Moreover, the exercise ability can be further improved by using past exercise information as a pacemaker. Moreover, the driver's motivation can be stimulated by targeting past exercise information.

  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 past exercise information stored in the second storage unit. It is good to perform control which calculates information and memorize | stores it in a 3rd memory | storage part so that reading is possible. As past exercise information, feature information including at least one of the accumulated value, average value, upper limit value, and 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 past exercise information, so that the driver can clearly understand, for example, how much his or her exercise ability has improved or declined.

  In the first aspect, the control means may perform control to create graph information indicating a change of the exercise information with respect to time based on the acquired exercise information and to output the graph information. By visually indicating the change of the exercise information with respect to time, it is possible for the driver to quickly understand how the exercise state changes with the passage of time. In particular, a driver who is training can visually recognize his / her movement state, and can intuitively judge his / her movement state.

  In the first aspect, the control means reads out the 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, and performs one training time. It is preferable that the current graph information indicating the change of the exercise information in the vehicle is created, and the driver outputs 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, the current motion state can be visually compared with the ideal motion state. Therefore, a driver who is training can specifically determine how to adjust the amount of exercise in order to approach the ideal.

  Further, in the first aspect, a communication unit capable of transmitting / receiving data to / from another electronic device is provided, and the control unit acquires the acquired exercise information of the self and the other driver's exercise information received by the communication unit. It is preferable to perform control to compare and output the result. The movement information of other drivers can be received by the communication unit from other electronic devices. Since the received movement information of the other driver can be output in comparison with the movement information of the driver, the movement state of the other driver can be grasped and compared with the movement state of the driver. In addition, competingness can be stimulated by grasping the movement status of other drivers. Furthermore, by grasping the exercise state of other drivers, it is possible to conduct bargaining such as where to attack in the case of race training.

  Moreover, in the first aspect, the exercise information includes at least a driver's heartbeat information, and the first storage unit has an ideal distribution of heartbeats occupying a total travel time of a bicycle as the ideal exercise information. The ideal heart rate distribution information shown in a graph is stored for each of the plurality of training levels, and the control means shows the heart rate distribution in the current training time based on the acquired driver's heart rate information in a graph. Heart rate distribution information is created, ideal heart rate distribution information corresponding to the training level selected by the driver from the plurality of training levels is read from the first storage unit, and the created heart rate distribution information of the driver, It is preferable to perform control to compare and output the ideal heart rate distribution information read from the first storage unit.

  The ideal heart rate distribution information is a graph showing an ideal distribution of heart rate in the total travel time of the bicycle. In this aspect, heart rate distribution information in which the information on the distribution of the heart rate in the current training time is shown as a graph is created and compared with the ideal heart rate distribution information read from the first storage unit and output. 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 heart rate distribution information created in this training is compared with the ideal heart rate distribution information. Thus, the driver can objectively determine his / her state as compared with the ideal state. In addition, while training, you can clearly grasp whether the current pace distribution matches or is not ideal. If the pace is adjusted so that the current heart rate distribution information matches the ideal heart rate distribution information, the ideal motion state corresponding to the training level can be naturally approximated.

  In the first aspect, the control means acquires maximum heart rate information that is information on the maximum heart rate of the driver, and the ideal stored in the first storage unit based on the acquired maximum time heart rate information. Control for correcting the heart rate distribution information may be performed. 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 ideal heart rate distribution information that reflects the driver's basic physical strength. Therefore, a realistic training target corresponding to the basic physical strength of the driver can be presented to the driver.

  In the first aspect, the control means may be configured such that a ratio of reference heartbeat information, which is heartbeat information having the highest ratio of the total running time of the bicycle to the maximum heartbeat information, is a predetermined value. It is preferable to perform control for correcting the ideal heart rate distribution information. Thereby, ideal heart rate distribution information can be appropriately corrected according to the magnitude of the maximum heart rate. The maximum heart rate varies depending on the driver's basic physical strength. Therefore, ideal heart rate distribution information appropriate for the driver's basic physical strength can be presented to the driver.

  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 through the input unit. Since the maximum heart rate information corresponding to the age is calculated simply by inputting the age, ideal heart rate distribution information corresponding to the age of the driver can be output.

  In the first aspect, the maximum heart rate information may be input by an input unit. Maximum heart rate information can be input at the input section, so maximum heart rate information can be set freely.

  In the first aspect, the control means may perform control for determining the maximum heart rate information based on the heart rate information acquired from a heart rate meter that measures a driver's heart rate while the bicycle is running. In this aspect, since the maximum heart rate information can be determined based on the raw information of the driver's heart rate measured during driving, the ideal heart rate information can be corrected with the maximum heart rate information reflecting the driver's state in real time.

  Further, in the first aspect, the control means acquires resting heartbeat information that is information of a driver's resting heartbeat, and based on the acquired maximum heartbeat information and the acquired resting heartbeat information, Control for correcting the ideal heart rate distribution information stored in the first storage unit may be performed. The resting heart rate also depends on the person's basic physical strength. In this aspect, 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 ideal heart rate distribution information further reflecting the basic physical strength of the driver. Therefore, a realistic training target corresponding to the basic physical strength of the driver can be presented to the driver.

  Further, in the first aspect, the control means includes a first difference obtained by subtracting the resting heartbeat information from reference heartbeat information that is information of a heartbeat that has the highest percentage of the total running time of a bicycle, and the maximum time. Control for correcting the ideal heart rate distribution information may be performed so that a ratio of the second difference obtained by subtracting the reference heart rate information from the heart rate information becomes a predetermined value. As a result, the ideal heart rate distribution information can be appropriately corrected according to the magnitudes of the maximum time heart rate information and the resting time 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 meter that measures a driver's heart rate while the bicycle is running, and acquires the maximum heart rate information while the bicycle is stopped. Control for determining the resting heartbeat information based on the resting heartbeat information may be performed. As a result, the maximum heart rate and resting heart rate commensurate with the current physical strength and condition of the driver can be obtained, so that it can be corrected to ideal heart rate distribution information commensurate with the physical strength and condition of the driver.

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

  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 a running time at the anaerobic exercise level. Then, based on the measured running time and the heart rate information acquired during running at the anaerobic exercise level, a control for calculating and outputting the target value and time of the heart beat for recovering the physical strength of the driver It is good to do. Exercise at anaerobic levels cannot be maintained for a long time. Therefore, the running time at the anaerobic exercise level is measured, the motion state of the driver is detected by a sensor, and the target value of the motion state for reducing the lactic acid is shown. The driver can effectively reduce the accumulated amount of lactic acid by exercising so that his / her exercise state approaches the target value, so that assist suitable for the driver can be easily performed.

  In the first aspect, the operation unit includes measurement instruction means for instructing start and end of measurement by the measurement means for measuring the travel time of the bicycle, and the control means is from measurement start to measurement end by the measurement means. One run time may be set as the total travel time, and control may be performed so that the travel 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 start and end of the measurement means by the measurement instruction means, the driver can determine the travel time for one time by his / her own judgment. Therefore, for example, since a slight stop during traveling can be ignored, it is possible to appropriately determine one traveling time. Also, since the running time from the start of measurement by the measuring means to the current training time is the current training time, it is possible to grasp the exercise state in the running time up to the current time even while running, so the pace distribution to approximate the ideal exercise state can be made You can adjust yourself.

  The electronic device which concerns on the 2nd aspect of this invention is attachable to the bicycle provided with the system in any one of Claims 1-22.

  According to the 2nd aspect, since it can attach to the bicycle provided with the system in any one of Claims 1-22, the effect in any one of Claims 1-22 can be acquired.

Claim 24
The program which concerns on the 3rd aspect of this invention is a program for functioning a computer as a control means in the system in any one of Claims 1-22.

  According to the third aspect, since the processing according to any one of claims 1 to 22 is executed by a computer, the effect according to claims 1 to 22 can be obtained.

1 is a block diagram showing an electrical configuration of a psychocomputer 1. FIG. It is a graph which shows the ideal heart rate curve AD of each training level. 3 is a conceptual diagram showing various storage areas of a RAM 7. FIG. 2 is a conceptual diagram showing various storage areas of a flash memory 9. FIG. 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 a meter process. It is a flowchart of a logging process. It is a flowchart of a training process. It is a flowchart of a graph correction process. It is a flowchart of other person log information reception processing. It is a flowchart of another person's heartbeat reflection process. It is a flowchart of an assist process. It is a flowchart of a data management process. It is a flowchart of a histogram process. It is a flowchart of a physical strength recovery guide process. 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 a heartbeat at rest. 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 a training level selection screen. It is a figure which shows the correction method of the ideal heart rate curve E. FIG. It is the figure of the screen which displayed and displayed Mr. A's heart rate curve and the ideal heart rate curve. FIG. 31 is a diagram of a screen in which Mr. B's heart rate curve is further superimposed on the screen of FIG. 30. 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. It is a figure of a speed histogram.

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

  First, the structure of the Saikon 1 will be briefly described with reference to FIG. The psychocomputer 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 plan view. The display unit 10 can display various types of information such as the traveling speed of a bicycle, cadence, and heart rate. The display direction of the image displayed on the display unit 10 can be changed to, for example, 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, a short 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 simply referred to as “operation buttons 11” when collectively referred to) are arranged in parallel 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, for turning on / off the power of the apparatus and determining a selection item. The operation button 33 is used, for example, to select an item or stop measuring time. 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 this. The operation buttons 31 to 34 are made of rubber, for example.

  Next, the relationship between various training levels and heartbeats in road competition will be described. A training level is a type of training with exercise intensity directed to the training goal. For example, there are the following four training levels for road competition.

1: [Recovery level]
The lowest intensity training level. It is only done for recovery after a heavy load (race or training, eg muscle 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 (lactic acid levels 0-3).
3: [Development level]
Training level that aims to develop endurance specific to the race. This is located on the boundary line between aerobic exercise and anaerobic exercise (lactic acid level 3-6).
4: [Vertex level]
The goal is to raise the threshold of so-called anaerobic exercise level by combining the developmental power training with emphasis on the instantaneous power and the endurance of the instantaneous power.
In addition, for example, there are an instantaneous force level, a muscle endurance level, a race level, and the like.

  It is said that it is desirable for athletes who perform training to perform only a few picked-up training levels among these various trainings. It is also important not to perform various training levels at once. Therefore, in order to concentrate and practice the target training level effectively, for example, it is conceivable to perform training while measuring the driver's heart rate. The heart rate 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 with each training level.

  FIG. 2 is a graph showing 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 an ideal heart rate curve at the recovery level. Curve B is an ideal heart rate curve at a basic endurance level. Curve C is an 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 only has to adjust the traveling speed of the vehicle so that the heart rate distribution during the current training travel time matches the ideal heart rate curve of the target training level. As a result, the driver can appropriately practice the target training level.

  The Saikon 1 of the present embodiment displays a heart rate curve that is a heart rate distribution in the running time of the current training and an ideal heart rate curve that is an ideal heart rate curve in the entire running time according to the target training level. 10 is displayed so that it can be compared. 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 Saikon 1 will be described with reference to FIG. The psychocomputer 1 includes a control unit 3. The control unit 3 performs main control of the Saikon 1. The control unit 3 includes a microcomputer or the like that includes 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 microcomputer 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.

  Connected to the control unit 3 are 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. The display unit 10 is, for example, a color liquid crystal that displays various types of information. The speaker 12 outputs, for example, alerts and voices. The altimeter 13 measures, for example, the altitude above sea level during traveling. The altimeter 13 is set by, for example, inputting the altitude of the local point above sea level to the sycon 1. The altimeter 13 measures the height difference based on the input sea level altitude. 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, other Saikons 40 attached to bicycles of other players. The Saikon 1 is operated by a battery 27, for example. For example, you may make it operate | move with 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 wheels, and wirelessly transmits the speed data to the sycon 1. The cadence sensor 22 measures the number of rotations of the pedal, for example, and wirelessly transmits the cadence data to the sycon 1. The heart rate sensor 23 is attached to the chest of the driver, for example. The heart rate sensor 23 measures the driver's heart rate and wirelessly transmits the heart rate data to the recurrent controller 1.

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

  A travel distance is stored in the travel distance storage area 71. Calculated from mileage speed and wheel circumference. The travel time storage area 72 stores the travel time. The maximum heart rate storage area 73 stores the maximum heart rate. Maximum heart rate is configurable. The resting heart rate memory area 74 stores a resting heart rate. 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 altitude log information storage area 78 logs the measured altitude data. The lactic acid value storage area 79 stores the lactic acid value. The lactic acid value can be calculated by, for example, heart rate and running time. 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, or the like that characterizes changes in speed, heart rate, cadence, altitude, and the like with respect to past history log information.

  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. The personal information storage area 91 stores personal information such as the individual's sex, age, and weight. In the history log information storage area 92, history log information of each measurement item is stored. 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 described with reference to FIG. In the ideal heart rate curve table 931, for example, for each of five training levels, various types of graph information of ideal heart rate curves A to E indicating the ideal rate of heart rate in the total running time of one cycle of the bicycle are stored. There are five types of training levels, for example, recovery level, basic endurance level, development level, vertex level, and standard level. Graph information of the ideal heart rate curve A is stored in association with the recovery level. The graph information of the 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 associated with the vertex level and stored. Graph information of the ideal heart rate curve E is stored in association with the standard level. The standard ideal heart rate curve E is corrected in accordance with the individual's basic physical strength based on, for example, the individual's maximum heart rate and resting heart rate.

  Next, the support voice table 941 will be described with reference to FIG. The support voice table 941 stores an error range, an error level, and support voice information in association with each other. The error is an error when the heart rate distribution in the current training is compared with an ideal heart rate distribution at a target training level. Specifically, for example, when the heart rate distribution with the highest proportion of the heart rate distribution in this training (hereinafter referred to as “reference heart rate”) is compared with the reference heart rate of the ideal heart rate distribution at the target training level. It is an error. The error ranges are, 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 levels. 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-. 2. The support voice information is voice data output to assist the driver in accordance with each error level, for example. For example, audio data of “That is in condition” is stored for the error level 0. For example, audio data “slightly later” is stored with respect to the error level +1. For example, audio data “Too much load” is stored for the error level +2. For example, voice data of “slightly faster !!” is stored for error level-1. For example, voice data of “Faster!” Is stored for error level-2.

  Next, main processing by the CPU 5 will be described with reference to the flowcharts of FIGS. 7 to 20 and the screen views of FIGS. In the following description, the control of the microcomputer 1 by the CPU 5 will be described 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 Saikon 1 to turn on the power, the CPU 5 reads the control program stored in the EEPROM 6 and executes this processing.

  As shown in FIG. 7, first, the CPU 5 displays a main menu on the display unit 10 (S1). As shown in FIG. 21, five screen types are displayed in the vertical direction as the main menu. In order from the top, for example, “meter”, “data management”, “training”, “meter setting”, and “setting”. The driver can select a screen to be displayed on the display unit 10 from among five types of screens. 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 for traveling such as speed, cadence, heart rate, elapsed time, mileage, lap, etc. is selected from among 45 items, for example, 2-8 divided screens, graph screens, self A trainer screen can be displayed. On the data management screen, for example, browsing, editing, analyzing, deleting, etc. of history contents stored so far can be performed. 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 a manner comparable to the ideal distribution of the heart rate over the entire 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 sex 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 is selected (S2: YES), meter processing is executed (S7). If the CPU 5 determines that no meter is selected (S2: NO), it determines whether data management is selected (S3). If it is determined that data management is selected (S3: YES), data management processing is executed (S8). When it is determined that neither meter nor data management is selected (S2: NO, S3: NO), the CPU 5 determines whether training is selected (S4). When it is determined that the training is 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), the CPU 5 determines whether meter setting is selected (S5). If it is determined that meter setting has been selected (S5: YES), meter setting processing 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 the setting is selected ( S6). When it is determined that the setting has been selected (S6: YES), a setting process is executed (S10).

  Next, the setting process will be described with reference to FIG. First, the CPU 5 displays a 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. In order from the top, for example, “sex”, “age”, “weight”, “resting heart rate”, and “maximum heart rate”. The driver selects each item from the five items and sequentially sets various information.

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

  When it is determined that neither sex nor age is selected (S16: NO, S17: NO), the CPU 5 determines whether the weight is 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 buttons 11 in the personal information storage area 91 of the flash memory 9. When the CPU 5 determines that none of the sex, age, and weight is selected (S16: NO, S17: NO, S18: NO), the CPU 5 determines whether a resting heartbeat is selected (S19). When it is determined that a resting heartbeat has been selected (S19: YES), a resting heartbeat setting process is executed (S24). The resting heart rate setting process will be described later.

If the CPU 5 determines that none of the sex, age, weight, and resting heart rate is selected (S16: NO, S17: NO, S18: NO, S19: NO), the CPU 5 determines whether 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 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. For example, the maximum heart rate may be calculated by the following calculation formula (1). In addition, the maximum heart rate calculated | required by Formula (1) is a general numerical value. Therefore, if there is a maximum heart rate measured by actual exercise or the like, the numerical value may be input. Further, the CPU 5 may automatically calculate from the input age based on the calculation formula (1).
・ Maximum heart rate = 220-age (1)

  If the CPU 5 determines that none of the sex, 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 is repeated. When the CPU 5 ends any of the processes of S21 to S25, the CPU 5 ends the 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 a selection screen (not shown) shown in FIG. 23A (S31). On the selection screen, two items “manual input” and “measurement” are displayed side by side. The CPU 5 determines whether or not manual input is selected by the driver (S32). When it is determined that manual input has been selected (S32: YES), a resting heartbeat input screen is displayed, and it is determined whether or not an input confirmation operation has been performed by the operation button 11 (S33). Until an input confirmation operation is performed (S33: NO), the process returns to S33 and enters a standby state. When the CPU 5 determines that the input confirmation operation has been performed (S33: YES), it stores the input numerical value in the resting heartbeat storage area 74 (see FIG. 3) of the RAM 7 (S34), and S24 of the setting process of FIG. Exit.

  When the CPU 5 determines that manual input is not selected (S32: NO), it determines whether or not measurement is selected (S35). When the CPU 5 determines that neither manual input nor measurement is selected (S32: NO, S35: NO), the process returns to S32 and the process is repeated. 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 measurement start operation is performed by the driver (S36). On the permission screen 37, for example, a message “Start heart rate measurement at rest” is displayed, and “Yes” and “No” items can be selected below the message.

  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), it starts heart rate measurement (S37). At this time, the CPU 5 may display, for example, a message “measuring resting heart rate”. Further, when the measurement is completed, for example, a message “Measured” may be displayed. The CPU 5 stores the measured value in the resting heartbeat storage area 74 of the RAM 7 (S38). Thus, the CPU 5 ends the resting heart rate setting process and returns to S24 of the setting process of FIG.

  Next, meter setting processing will be described with reference to FIG. First, the CPU 5 displays a layout selection screen (not shown) on the display unit 10 (S41). In the layout selection screen, the driver selects the type of screen displayed on the meter screen. Examples of screen types 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 divided screen shown in FIG. 24 is, for example, a four-divided screen. For example, items of time, speed, distance, and heart rate are displayed in order from the top. The division screen is not limited to four divisions, and for example, any one division screen can be selected from 2 to 8 divisions. The number of items to be displayed varies depending on the number of divisions.

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

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

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

  On the other hand, when the CPU 5 determines that the divided screen is not selected (S42: NO), the CPU 5 determines whether the “graph screen” is selected (S43). When it is determined that the graph screen has been selected (S43: YES), a graph setting process is executed (S47). The graph setting process is a process of setting the meter screen to the graph screen, causing the driver to select the type of graph to be displayed on the graph screen, and storing the selected content in the flash memory 9. CPU5 displays a graph selection item, for example, and makes a driver choose from it. As graph selection items, for example, speed / time, speed / distance, cadence / time, cadence / distance, heartbeat / time, heartbeat / distance, altitude / time, altitude / distance, CAD / heartbeat and the like are possible. When the CPU 5 finishes the graph setting process, it ends the meter setting process and returns to S10 of the main process in FIG.

  If the CPU 5 determines that neither the divided 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 to the self-trainer screen, and for example, the target information is input by the driver, and the input content is stored in the target information storage area 96 (see FIG. 4) of the flash memory 9. It is. When the CPU 5 finishes the self-trainer 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 none of the divided screen, the graph screen, and the self-trainer screen is selected (S42: NO, S43: NO, S44: NO), the CPU 5 determines whether the “workout screen” is selected. (S45). If it is determined that the workout screen has been selected (S45: YES), workout setting processing is executed (S49). In the workout setting process, the meter screen is set to the workout screen, and the driver inputs workout information such as workout end conditions and the number of steps, for example, and the input content is the workout information in the flash memory 9. This is processing to be stored in the storage area 95 (see FIG. 4). When completing the workout setting process, the CPU 5 ends the meter setting process and returns to S10 of the main process in FIG.

  If the CPU 5 determines that none of the divided 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 described with reference to FIG. First, the CPU 5 determines whether the meter screen is set to be divided (S51). If it is determined that the division setting has been made (S51: YES), for example, the division screen shown in FIG. 24 is displayed (S55). When the CPU 5 determines that the division setting is not performed (S51: NO), it determines whether the graph is set (S52). If 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 performed (S51: NO, S52: NO), it determines whether the self-trainer is set (S53). If it is determined that the self-trainer is set (S53: YES), for example, a self-trainer screen shown in FIG. 26 is displayed (S57).

  On the other hand, when the CPU 5 determines that none of the division setting, the graph setting, and the self-trainer setting is performed (S51: NO, S52: NO, S53: NO), the CPU 5 determines whether the workout setting is set (S54). . If 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, the graph setting, the self-trainer setting, and the workout setting has been made (S51: NO, S52: NO, S53: NO, S54: NO), an error is displayed on the display unit 10. Display is performed (S65), the meter setting process is terminated, and the process returns to S10 of the main process of FIG.

  And after displaying each display screen (S55-S58), CPU5 judges whether the operation button 11 was pushed by the driver | operator and it was started (S59). Until the start operation is performed (S59: NO), the CPU 5 returns to S59 and enters a standby state. 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 receiver 14 (S71). Further, cadence information is acquired from the cadence sensor 22 (see FIG. 1) via the sensor receiver 14 (S72). Furthermore, heart rate information is acquired from the heart rate 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 processing of FIG. 11, when the logging processing (S60) is started, for example, as shown in FIGS. 24 to 27, speed log information, cadence log information, heart rate log information, and The altitude log information is displayed by reflecting the display unit 10 on each screen. Next, the CPU 5 determines whether or not the operation button 11 has been pressed by the driver to finish the operation (S62). Until the CPU 5 finishes the operation (S62: NO), the CPU 5 returns to S61 and updates the display as needed. If the CPU 5 determines that the operation has been terminated by the driver (S62: YES), the logging process is terminated (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 date and time information (S64). The CPU 5 ends the meter process 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 players perform a 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, on the level selection screen, for example, five training levels can be selected. In order from the top, for example, items of “recovery level”, “basic endurance level”, “development level”, “vertex level”, and “standard level” are displayed. The driver selects a target training level from the five items.

  The CPU 5 determines whether or not one item has been selected by the operation button 11 by the driver and a selection confirmation operation has been performed (S82). Until the selection confirmation operation is performed (S82: NO), the CPU 5 returns to S82 and enters a standby state. When the CPU 5 determines that the selection confirmation operation has been performed (S82: YES), the ideal heart rate curve table 931 (see FIG. 5) stored in the flash memory 9 includes the graph information of the ideal heart rate curve of the selected training level. (S83). For example, when the item of the recovery level 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 or not the selected training level is a standard level (S84). For example, if the driver wants to train according to his / her basic physical strength, the standard level may be selected. The ideal 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), it executes a 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. If 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 processing will be described with reference to FIG. First, the CPU 5 obtains 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 a 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 resting heart rate (S113). The reference heart rate is a heart rate that has the highest percentage of the total running time in the heart rate curve. For example, the difference between the reference heartbeat and the resting heartbeat is X1 (corresponding to the “first difference” in the present invention), and the difference between the maximum heartbeat and the reference heartbeat is X2 (corresponding to the “second difference” in the present invention). In this case, the reference heartbeat is calculated so that X1: X2 = 1: 1.5. For example, when the maximum heartbeat is 185 bpm and the resting heartbeat is 85 bpm, the reference heartbeat is 125 bpm. 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 confirm the ideal heart rate curve of the target training level displayed on the display unit 10 before running. Therefore, the training target using the heart rate as an index becomes clear. Next, the CPU 5 determines whether or not the operation button 11 has been pressed by the driver and an operation to start traveling has been performed (S87). The CPU 5 returns to S87 and enters a standby state until an operation for starting traveling is performed (S87: NO).

  When the CPU 5 determines that an operation for starting driving is performed by the driver (S87: YES), the CPU 5 starts the logging process (see FIG. 12) (S88). Furthermore, the CPU 5 starts the other person log information reception process (S89). The other person log information receiving 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 periodically executed. First, the CPU 5 transmits a log information request signal to another Saikon 40 (see FIG. 1) attached to each bicycle on which other players ride (S121). When receiving the log information request signal, the other Saicon 40 extracts various log information from the start of running in the current training to the present and returns it to the Saikon 1.

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

  Returning to FIG. 13, the CPU 5 determines whether or not 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. When the CPU 5 determines that the predetermined time has elapsed (S90: YES), it 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 heart rate curve based on the acquired heart rate log information (S93). Further, the created heart rate curve graph is 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 on the display unit 10 so as to overlap each other. For example, it is obvious that Mr. A's heart rate curve has an overall lower 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 further striking the pedal, so 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 previous running time and heart rate, and further displays it on the display unit 10 (S <b> 95). 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 heart rate, 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 fatigue of the body by checking the current lactic acid level as needed. Then, the CPU 5 executes another person's heartbeat reflection process (S96).

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

  Here, the assist process will be described with reference to FIG. First, the CPU 5 specifies and acquires the reference heart rate of the ideal heart rate curve (S141). Next, the CPU 5 specifies and acquires a reference heart rate of A's heart rate curve (S142). Then, the CPU 5 calculates an error between the two acquired reference heartbeats (S143). For example, when the reference heart rate of the ideal heart rate curve is 150 bpm and the current heart rate curve of Mr. A's heart rate curve is 125 bpm, the error is -17% (for example, the decimal places are rounded off).

  Next, the CPU 5 determines an error level of the calculated error with reference 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). Mr. A tries to increase his speed by further pedaling by listening to the voice of "Faster faster" output from the speaker 12, so that his heart rate can be gradually adjusted to the target training level. it can. In addition to the voice, for example, as shown in FIG. 30, a message “Faster 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 in FIG.

  Then, the CPU 5 determines whether or not the operation button 11 has been pressed by the driver and an operation for ending the travel has been performed (S99). Until the operation for ending the travel is performed (S99: NO), the process returns to S90 and is repeated. When the CPU 5 determines that an operation for ending the travel 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). The CPU 5 thus ends the training process and returns to S9 of the main process in FIG.

  Next, the data management process will be described with reference to FIG. 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, the date information of the year and date when the bicycle training is practiced is displayed on the display unit 10 as a list. 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 perform the selection confirmation operation. The CPU 5 determines whether or not a selection confirmation operation has been performed by the driver (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), it acquires 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, minimum value, and average value of speed, cadence, heart rate, altitude, and the like based on the acquired history log information, and uses these as feature information as the feature information storage area 80 of the RAM 7 (see FIG. 3). (S154). A cumulative value may be calculated and included as feature information.

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

  Then, the CPU 5 determines whether or not a graph is 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, CAD / heartbeat. The driver selects any one of the ten types of graph display items displayed on the display unit 10 and presses the operation button 11 to perform the selection confirmation operation.

  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 these various combinations can be displayed in a graph, analysis under various situations is possible. For items to be combined, in addition to the above-mentioned supplements, for example, a lactate value, power, wind speed, temperature, humidity, gear ratio, gradient, weight, body fat percentage, etc. may be combined and displayed in a graph. Then, as shown in FIGS. 33 to 36, the CPU 5 has a maximum value and a minimum value of each measurement 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 has been pressed by the driver and an end operation has been performed (S161). Until it is determined that the ending 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 end operation has been performed (S161: YES), it ends the data management process and returns to S8 of the main process in FIG.

  On the other hand, if the CPU 5 determines that the graph is not selected (S156: NO), it determines whether the histogram is selected (S158). When it is determined 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 a histogram has been selected (S158: YES), it executes a histogram process (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). For example, three items of “speed”, “cadence”, and “heart rate” are displayed on the type selection screen. The driver selects any one of the three items displayed on the display unit 10 and presses the operation button 11 to perform the selection confirmation operation.

  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 / time is extracted and acquired from the history log information storage area 92 of the flash memory 9 (S175). Based on the acquired speed log information, the CPU 5 calculates a speed distribution for the entire travel time (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), the CPU 5 determines whether or not cadence is selected (S173). If it is determined that 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 a cadence distribution over the entire travel 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 in FIG. 37 on the display unit 10 (S181).

  If the CPU 5 determines that neither speed nor cadence is selected (S172: NO, S173: NO), the CPU 5 determines whether a heartbeat is selected (S174). When 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). Based on the acquired heart rate log information, the CPU 5 calculates a heart rate distribution over the entire travel time (S183). Based on the calculated heart rate distribution, the CPU 5 displays a heart rate histogram (not shown) similar to that in FIG. 37 on the display unit 10 (S184). As described above, since any one of the three histograms of “speed”, “cadence”, and “heart rate” can be displayed on the display unit 10, the driver can clearly grasp the distribution of each measured value in the total travel time.

  The CPU 5 determines whether or not the operation button 11 has been pressed by the driver and an end operation has been performed (S178). Until it is determined that the ending operation has been performed (S178: NO), the process returns to S178 to continuously display each histogram. If the CPU 5 determines that an end operation has been performed (S178: YES), it 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 in FIG.

  Returning to the main process of FIG. 7, the CPU 5 determines whether or not the power has been turned off after completing each process (S12). When 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 is turned off (S12: YES), it saves the setting contents of the size control 1 so far in the flash memory 9 (S13), and ends the main process.

  As described above, in the Saicon 1 of the present embodiment, the heart rate curve that is the heart rate distribution in the running time of the current training and the ideal heart rate that is the ideal heart rate curve in the total running time according to the target training level. A curve can be displayed on the display unit 10 so as to be comparable. 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.

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

  In the present embodiment, particularly, in order to manage the exercise state for each training, the flash memory 9 stores graph information of an ideal heart rate curve, which is information of an ideal heart rate that occupies the entire running time of a bicycle. Is stored for each of a plurality of training levels. The driver can compare the graph information of the heart rate curve, which is information on the heart rate in the current training time, with the ideal heart rate curve. Therefore, for example, it can be recognized how far the ideal training state is from the ideal exercise state and how it can approach the ideal exercise state.

  And when it is training, it can compare with the ideal exercise information about the exercise state which occupies the training time from the start of running to the present time. In this way, it is possible to grasp in real time how close to the ideal exercise state can be achieved during training. In addition, it can be compared with the ideal exercise state even after the end of this training. In that case, since comprehensive evaluation can be performed for the current training, it can be used as an effective judgment material when the next training plan is made.

  In addition, this invention is not limited to the said embodiment, A various deformation | transformation is possible. For example, anaerobic exercise is dominant at the apex level, so it is said that lactic acid tends to accumulate in the body. Such anaerobic exercise cannot be maintained for a long time. Lactic acid accumulated in the body can cause fatigue. Therefore, after performing anaerobic exercise, it is necessary to lower the heart rate to a recovery level or a basic endurance level, to reduce lactic acid accumulated in the body, and to restore physical strength. Therefore, for example, when the training process is executed at the vertex level, an option for executing the physical strength recovery guide process may be provided after an operation for ending the running (S99: YES), for example.

  Therefore, the physical strength recovery guide process will be described with reference to FIG. First, the CPU 5 acquires the total travel time at the vertex level (S191). Next, the CPU 5 detects a heartbeat (S192). Further, based on the acquired travel 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 his / her fatigue condition. Next, the CPU 5 displays the target heart rate (S194). The target heart rate can be preset in the flash memory 9 or the like. The target heart rate may be set to a recovery level or a basic endurance level. Next, the CPU 5 determines a recovery time for running after reaching the target heart rate, and displays it on the display unit 10 (S195). The recovery time is, for example, a time required for executing recovery level training and recovering accumulated lactic acid to an energy source. In addition, about the determination method of recovery time, the table etc. which can specify recovery time from a lactic acid level and a heart rate may be used, or you may obtain | require by a calculation formula.

  Next, the CPU 5 determines whether or not the operation button 11 has been pressed by the driver and an operation to start traveling has been performed (S196). Until it is determined that an operation for starting traveling has been performed (S196: NO), the process returns to S196 and enters a standby state. If the CPU 5 determines that an operation to start running has been performed (S196: YES), it receives heart rate data from the heart rate sensor and displays it on the display unit 10 (S197). Next, the CPU 5 determines whether or not the heart rate has decreased to the target heart rate (S198). The CPU 5 returns to S197 and continues displaying the heartbeat until it is determined that the heartbeat has decreased to the target heartbeat (S198: NO).

  When the CPU 5 determines that the heart rate has decreased to the target heart rate (S198: YES), the CPU 5 starts measuring the travel time (S199). The CPU 5 determines whether or not the traveling time has reached the recovery time (S200). Until the CPU 5 determines that the travel 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 estimated that the lactic acid accumulated in the body has been converted into an energy source, so that an end message is displayed on the display unit 20 and this processing is performed. Exit. When this process is completed, the CPU 5 may proceed to S12 of the main process in FIG.

  Further, the present invention can be variously modified in addition to the above modified examples. For example, in the above embodiment, the driver's exercise state is clearly displayed by measuring the driver's heart rate and graphically representing the distribution of the heart rate in the current training time as a heart rate curve. As an index indicating the exercise state, for example, speed, cadence, or the like may be used in addition to the heartbeat. That is, the speed of the current training time and the cadence distribution may be displayed in a graph.

  In the above embodiment, the Saikon 1 is described as an example of the electronic device of the present invention. However, the electronic device of the present invention may be a dedicated machine, and moreover, for example, in a multi-function mobile phone having a PDA function. Is also applicable.

1 cycle computer
5 CPU
7 RAM
9 Flash memory 10 Display unit 11 Operation button 12 Speaker 15 Wireless communication unit

Claims (3)

The exercise information which is information on the current exercise state of the bicycle driver is acquired, and the acquired exercise information is the information on the ideal exercise state corresponding to the driver's training level stored in advance in the first storage unit. Control means for performing control to output the result compared with certain ideal motion information,
A system comprising a function of outputting different sounds according to a difference between acquired exercise information and information on an ideal exercise state at a driver's training level. A system comprising a function of outputting a voice indicating that an excessive load is applied when the acquired exercise information exceeds information on an ideal exercise state at a driver's training level. The program for making a computer implement | achieve the function of the control means of the system of Claim 1 or 2.

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