WO2023120027A1 - Procédé d'estimation d'intensité d'exercice et système d'estimation d'intensité d'exercice - Google Patents

Procédé d'estimation d'intensité d'exercice et système d'estimation d'intensité d'exercice Download PDF

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Publication number
WO2023120027A1
WO2023120027A1 PCT/JP2022/043499 JP2022043499W WO2023120027A1 WO 2023120027 A1 WO2023120027 A1 WO 2023120027A1 JP 2022043499 W JP2022043499 W JP 2022043499W WO 2023120027 A1 WO2023120027 A1 WO 2023120027A1
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WIPO (PCT)
Prior art keywords
exercise intensity
information
user
assisted bicycle
power
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PCT/JP2022/043499
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English (en)
Japanese (ja)
Inventor
若正 清崎
健一 入江
洋介 井澤
崇 佐藤
嵩 内田
紗也華 冨増
Original Assignee
パナソニックＩｐマネジメント株式会社
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Priority to JP2023569199A priority Critical patent/JPWO2023120027A1/ja
Publication of WO2023120027A1 publication Critical patent/WO2023120027A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
    • B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
    • B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
    • B62J45/40—Sensor arrangements; Mounting thereof
    • B62J45/41—Sensor arrangements; Mounting thereof characterised by the type of sensor
    • B62J45/411—Torque sensors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
    • B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
    • B62J50/20—Information-providing devices
    • B62J50/21—Information-providing devices intended to provide information to rider or passenger
    • B62J50/22—Information-providing devices intended to provide information to rider or passenger electronic, e.g. displays
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/40—Rider propelled cycles with auxiliary electric motor
    • B62M6/45—Control or actuating devices therefor
    • B62M6/50—Control or actuating devices therefor characterised by detectors or sensors, or arrangement thereof

Definitions

  • the present invention relates to an exercise intensity estimation method and an exercise intensity estimation system.
  • Patent Literature 1 discloses a technology related to an electrically assisted bicycle.
  • the present invention provides an exercise intensity estimation method and exercise intensity estimation system capable of estimating the exercise intensity of a user riding a power-assisted bicycle.
  • An exercise intensity estimation method is an exercise intensity estimation method executed by a computer, wherein a user directly or indirectly inputs a first exercise intensity to the computer while riding a power-assisted bicycle.
  • Based on a second acquiring step of acquiring information, a relational expression determined by a plurality of sets of the first information and the second information acquired, and a load applied to the pedals of the electrically power-assisted bicycle the user performs the An estimating step of estimating the exercise intensity while riding the power-assisted bicycle, and a display step of displaying the estimated exercise intensity.
  • An exercise intensity estimation system is first information that is directly or indirectly input to the exercise intensity estimation system when a user is riding a power-assisted bicycle, and the sensory load of the user is a first acquisition unit that acquires first information indicating a size; a second acquisition unit that acquires second information indicating a load applied to a pedal of the power-assisted bicycle when the first information is input; exercise of the user while riding the power-assisted bicycle, based on a relational expression determined by the acquired plurality of sets of the first information and the second information, and the load applied to the pedals of the power-assisted bicycle; and an estimating unit that estimates the intensity and displays the estimated exercise intensity on the display unit.
  • the exercise intensity estimation method and exercise intensity estimation system can estimate the exercise intensity of a user riding a power-assisted bicycle.
  • FIG. 1 is an external view of a device that constitutes an exercise intensity estimation system according to an embodiment.
  • FIG. 2 is a block diagram showing the functional configuration of the exercise intensity estimation system according to the embodiment.
  • FIG. 3 is a flow chart of an example of operation in the learning mode.
  • FIG. 4A is a diagram showing an example of an input screen.
  • FIG. 4B is a diagram showing another example of the input screen.
  • FIG. 5 is a diagram showing a plurality of sets of first information and second information accumulated in the storage unit of the exercise intensity estimation device according to the embodiment.
  • FIG. 6 is a diagram for explaining a method of calculating the relational expression.
  • FIG. 7 is a flowchart of an example of normal mode operation.
  • FIG. 7 is a flowchart of an example of normal mode operation.
  • FIG. 8 is a diagram showing a display example 1 of estimation results of %VO 2 max.
  • FIG. 9 is a diagram showing a display example 2 of estimation results of %VO 2 max.
  • FIG. 10 is a diagram showing a display example 3 of estimation results of %VO 2 max.
  • FIG. 11 is a diagram showing an example of a first information input screen on which a notification object is popped up.
  • each figure is a schematic diagram and is not necessarily strictly illustrated. Moreover, in each figure, the same code
  • FIG. 1 is an external view of a device that constitutes an exercise intensity estimation system according to an embodiment.
  • FIG. 2 is a block diagram showing the functional configuration of the exercise intensity estimation system according to the embodiment.
  • the exercise intensity estimation system 100 shown in FIGS. 1 and 2 estimates the exercise intensity of the user who pedals the pedals 13 of the electrically assisted bicycle 10 (the user who rides the electrically assisted bicycle 10), and the exercise intensity estimation result is It is a system that can display in real time on the display unit 22 of the exercise intensity estimation device 20 . According to the exercise intensity estimation system 100, the user can move on the power-assisted bicycle 10 while checking his own exercise intensity.
  • the exercise intensity estimation system 100 specifically includes an electrically assisted bicycle 10 and an exercise intensity estimation device 20 .
  • the power-assisted bicycle 10 is a bicycle that can be ridden on public roads.
  • the power-assisted bicycle 10 includes a vehicle body 11, a front wheel 12f, a rear wheel 12r, pedals 13, an electric motor 14 attached to the vehicle body 11, a battery 15, a controller 16, a pedal force sensor 17a, and a rotation speed.
  • a sensor 17b, a storage unit 18, and a communication unit 19 are provided.
  • the electrically power assisted bicycle 10 assists the forward movement of the vehicle body 11 by driving the electric motor 14 based on the force applied to the pedals 13 by the user.
  • the electric motor 14 is driven using power supplied from the battery 15 .
  • the battery 15 is, for example, a secondary battery such as a lithium ion battery, and also functions as a power source for the control unit 16 and the like.
  • the control unit 16 is a control device that drives the electric motor 14 .
  • the control unit 16 is implemented by, for example, a microcomputer, but may be implemented by a processor.
  • the functions of the control unit 16 are realized by executing a computer program (software) stored in the storage unit 18 by hardware such as a processor or a microcomputer that constitutes the control unit 16 .
  • control unit 16 determines the magnitude of the assist force (in other words, auxiliary driving force) generated by the electric motor 14 based on the force applied by the user to the pedal 13 and the speed of the electrically assisted bicycle 10. do.
  • a pedaling force to the pedal 13 is obtained from a pedaling force sensor 17a.
  • the pedal force sensor 17a is, for example, a magnetostrictive torque sensor.
  • the speed of the power-assisted bicycle 10 is calculated based on the number of revolutions per unit time of the rear wheel 12r (or front wheel 12f) and the size of the rear wheel 12r (or front wheel 12f).
  • the speed of the power-assisted bicycle 10 may be measured by a sensor such as a Hall IC attached to the rear wheel 12r (or the front wheel 12f).
  • a method for detecting the speed of the power-assisted bicycle 10 is not particularly limited.
  • the rotational speed sensor 17b measures the rotational speed of the crank. In other words, the rotation speed sensor 17b measures the rotation angle of the crank.
  • the rotational speed sensor 17b is, for example, an optical sensor having a light emitting portion and a light receiving portion. The number of revolutions of the crank is measured based on the number of times the path of light from the light emitting portion to the light receiving portion is blocked.
  • the rotational speed sensor 17b is not limited to the above optical structure as long as it can measure the rotational speed of the crank.
  • the storage unit 18 is a storage device in which computer programs and the like executed by the control unit 16 are stored.
  • the storage unit 18 is implemented by, for example, a semiconductor memory.
  • the communication unit 19 is a communication circuit for the power-assisted bicycle 10 to communicate with the exercise intensity estimation device 20.
  • the communication performed by the communication unit 19 may be wired communication or wireless communication.
  • the communication unit 19 uses the measured value of the user's pedaling force (torque) on the pedal 13 obtained from the pedaling force sensor 17a and the measured value of the rotation speed of the crank obtained from the rotation speed sensor 17b as a motion sensor. It is transmitted to the intensity estimating device 20 .
  • the exercise intensity estimation device 20 estimates the exercise intensity of the user riding the power-assisted bicycle 10 (the user pedaling the pedals 13). Also, the exercise intensity estimation device 20 is attached to the power-assisted bicycle 10 and displays the estimation results to the user riding the power-assisted bicycle 10 . The exercise intensity estimating device 20 is attached, for example, to the handlebar of the electrically assisted bicycle 10 so that the user riding the electrically assisted bicycle 10 can see the display unit 22 .
  • the exercise intensity estimation device 20 is, for example, a general-purpose mobile terminal such as a smartphone or a tablet terminal, but may be a dedicated terminal for the power-assisted bicycle 10 such as a cycle computer. If the exercise intensity estimation device 20 is a dedicated terminal for the power-assisted bicycle 10 , the exercise intensity estimation device 20 can be considered as part of the power-assisted bicycle 10 .
  • the exercise intensity estimation device 20 specifically includes an input reception unit 21 , a display unit 22 , a communication unit 23 , an information processing unit 24 and a storage unit 25 .
  • the input reception unit 21 receives input of the user's sensory load.
  • the input reception unit 21 is specifically implemented by a touch panel or hardware keys (buttons).
  • the display unit 22 displays an image (also referred to as an input screen) viewed by the user for inputting the sensory load, an image showing the exercise intensity estimation result, and the like.
  • the display unit 22 is implemented by, for example, a display panel such as a liquid crystal panel or an organic EL (Electro Luminescence) panel.
  • the communication unit 23 is a communication circuit for the exercise intensity estimation device 20 to communicate with the electrically power assisted bicycle 10.
  • the communication unit 23 is a wireless communication circuit that wirelessly communicates with the power-assisted bicycle 10 .
  • the communication unit 23 is a wired communication circuit that performs wired communication with the power-assisted bicycle 10, but may be a wireless communication circuit that performs wireless communication.
  • the information processing unit 24 performs information processing for estimating the exercise intensity of the user.
  • the information processing unit 24 is implemented by, for example, a microcomputer, but may be implemented by a processor.
  • the information processing unit 24 includes, as functional components, a first acquisition unit 24a, a second acquisition unit 24b, a calculation unit 24c, an estimation unit 24d, and a notification unit 24e.
  • the functions of the first acquisition unit 24a, the second acquisition unit 24b, the calculation unit 24c, the estimation unit 24d, and the notification unit 24e are stored in the storage unit 25 by hardware such as a microcomputer or a processor that constitutes the information processing unit 24. implemented by executing a computer program (software) that
  • the storage unit 25 is a storage device that stores information necessary for estimating exercise intensity, such as a computer program executed by the information processing unit 24 .
  • the storage unit 25 is implemented by, for example, a semiconductor memory.
  • Oxygen uptake level (% VO 2 max) is known as an indicator of exercise intensity of a person.
  • the oxygen uptake level (% VO 2 max) is represented by the following formula.
  • Oxygen uptake level (% VO2 max) oxygen uptake (VO 2 ) ⁇ maximum oxygen uptake (VO 2 max)
  • guidelines for improving symptoms such as hypertension, hyperglycemia, and high blood lipids may stipulate exercise durations based on % VO 2 max.
  • % VO 2 max In order to measure oxygen uptake, a large-scale breath gas analyzer is required, and it is difficult to measure % VO2max in real time during exercise.
  • the exercise intensity estimation system 100 estimates the % VO2max of the user pedaling the pedals 13 of the electrically assisted bicycle 10, and displays the estimated % VO2max .
  • the exercise intensity estimation system 100 calculates a relational expression for estimating the user's % VO2max .
  • FIG. 3 is a flow chart of an example of operation in the learning mode.
  • the first acquisition unit 24a of the exercise intensity estimation device 20 displays on the display unit 22 an input screen for first information indicating the magnitude of the user's sensory load. (S11).
  • the display unit 22 displays the input screen according to the command from the first acquisition unit 24a.
  • FIG. 4A is a diagram showing an example of an input screen.
  • the perceived load is, in other words, the rate of perceived exercise (RPE), and indicates how hard the user feels during exercise.
  • the New Borg Scale is known as an index that defines such subjective exercise intensity. As shown in FIG. 4A, the New Borg Scale divides the subjective exercise intensity into multiple stages of about 10 stages (12 stages in the example of FIG. 4A), and the user selects one of the multi-stage numerical values.
  • the first information is input to the input reception unit 21, and the input reception unit 21 receives the input of the first information (S12).
  • the wording associated with each numerical value of the New Borg Scale may be Japanese.
  • FIG. 4B is a diagram showing an example of such an input screen. Also, in step S12, instead of the New Borg Scale, one of the multi-level numerical values of the Borg Scale may be input as the first information.
  • the first acquisition unit 24a acquires the first information input to the input reception unit 21 (S13).
  • the second acquisition unit 24b acquires second information indicating the load applied to the pedals 13 of the electrically assisted bicycle 10 when the first information is acquired (S14).
  • the second acquisition unit 24b acquires the torque measurement value from the pedal force sensor 17a via the communication unit 19 and the communication unit 23, A measured value of the number is obtained, and a load applied to the pedal 13 is calculated from the measured value of the torque and the measured value of the number of revolutions.
  • the load [W] applied to the pedal 13 can be calculated based on the formula of 2 ⁇ torque [N ⁇ m] ⁇ crank length [m] ⁇ rotational speed [rpm]/60. That is, the second acquisition unit 24b can acquire (calculate) the second information based on the measured torque value, the measured rotational speed value, and the above formula.
  • the load applied to the pedal 13 may be calculated by the control unit 16. In this case, the second obtaining unit 24b receives a second load indicating the load applied to the pedal 13 from the control unit 16 via the communication unit 19 and the communication unit 23. Get (receive) information.
  • step S14 when the first information is acquired” in step S14 does not mean in a strict sense, but means a timing close to the timing when the first information is acquired.
  • the load indicated by the second information is, for example, the maximum value of the load during a predetermined period including at least one of the period immediately before and the period immediately after the timing at which the first information was acquired.
  • the second acquisition unit 24b (or the first acquisition unit 24a) pairs the second information acquired in step S14 with the first information acquired in step S13 and stores them in the storage unit 25 (S15).
  • the calculator 24c determines whether or not a predetermined requirement is satisfied (S16).
  • the exercise intensity estimation device 20 returns to a state in which it is possible to receive input of the first information from the user. That is, the processing of steps S12 to S15 is performed each time the user inputs the first information, and is continued until predetermined requirements are satisfied.
  • a predetermined requirement is, for example, that the input reception unit 21 has received a predetermined input from the user (for example, an input instructing calculation of a relational expression). That is, the predetermined requirements are based on user input (manual operation).
  • the predetermined requirement may be that the number of sets of the first information and the second information stored in the storage unit 25 has reached a predetermined number. That is, the predetermined requirement may be based on the amount of information.
  • the predetermined requirement is that a predetermined period of time has elapsed since the set of the first information and the second information was first stored, or that a certain period of time has elapsed since the power-assisted bicycle 10 stopped running (user is estimated to have gotten off the power-assisted bicycle 10). That is, the predetermined requirement may be based on elapsed time.
  • FIG. 5 is a diagram showing a plurality of sets of first information and second information accumulated in the storage unit 25.
  • FIG. 6 is a diagram for explaining a method of calculating the relational expression.
  • the calculator 24c first converts the value of New Borg Scale indicated by the first information into %VO 2 max.
  • the conversion for example, one of the following two types of conversion formulas is used.
  • the above two conversion formulas are examples, and conversion formulas other than the above two conversion formulas may be used. Further, when one of the multi-level values of the Borg Scale is input as the first information in step S12, a conversion formula for converting the value of the Borg Scale into % VO2max is used.
  • the calculator 24c calculates a relational expression (that is, a function) between the converted first information (the value of %VO 2 max) and the second information (the load applied to the pedal). For example, an approximate expression is calculated for a plurality of sets of first information (first information after conversion) and second information, and this approximate expression is used as a relational expression.
  • the approximate expression is, for example, a linear function, and can be expressed as follows using coefficients a and b. Note that the coefficient a is a positive number.
  • the exercise intensity estimation system 100 uses the first information that is directly or indirectly input to the exercise intensity estimation system 100 while the user is riding the power-assisted bicycle 10.
  • a first acquisition unit 24a for acquiring first information indicating the magnitude of the user's sensory load;
  • a second acquiring unit 24b for acquiring, and a calculating unit 24c for calculating a relational expression for estimating the user's %VO 2 max based on the acquired plural sets of the first information and the second information.
  • %VO 2 max is an example of an index showing exercise intensity.
  • Such an exercise intensity estimation system 100 can estimate the user's %VO 2 max while riding the power-assisted bicycle 10 by normal mode operation (described later) using the calculated relational expression.
  • FIG. 7 is a flowchart of an example of normal mode operation.
  • the second acquisition unit 24b acquires second information indicating the load applied to the pedals 13 (S21). As described above, the second acquisition unit 24b may acquire (calculate) the second information indicating the load applied to the pedal 13 based on the measured value of torque and the measured value of rotation speed. You may acquire 2nd information from the control part 16 by.
  • the estimation unit 24d estimates % VO2max (exercise intensity) when the user is riding the power-assisted bicycle (S22).
  • the estimation unit 24d can estimate %VO 2 max by substituting the load indicated by the second information acquired in step S21 into the relational expression stored in the storage unit 25 in step S18. That is, the estimating unit 24d can estimate %VO 2 max based on the load applied to the pedal 13 and the relational expression determined by the plurality of sets of first information and second information.
  • the estimation unit 24d displays an image showing the estimation result of %VO 2 max on the display unit 22 (S23).
  • the display unit 22 displays an image showing the estimation result in response to a command from the estimation unit 24d.
  • the display unit 22 displays, for example, the estimated value of %VO 2 max numerically, but may display the estimated result of %VO 2 max graphically as follows.
  • FIG. 8 is a diagram showing a display example 1 of estimation results of %VO 2 max.
  • the horizontal axis in the graph of FIG. 8 indicates time, and the vertical axis indicates the instantaneous value of %VO 2 max.
  • %VO 2 max of a reference value (eg, 50%) or higher is recommended.
  • a reference value eg, 50%
  • the reference value is shown in the graph, and the period during which %VO 2 max is equal to or higher than the reference value is shown on the time axis.
  • the user can easily grasp the change in %VO 2 max over time and the period during which %VO 2 max was equal to or higher than the reference value.
  • the display unit 22 may display the cumulative value of the time during which the estimated %VO 2 max is equal to or greater than the reference value.
  • FIG. 9 is a diagram showing a display example 2 of estimation results of %VO 2 max. The horizontal axis in the graph of FIG.
  • the vertical axis indicates the accumulated value (cumulative time) of the time when %VO 2 max is equal to or higher than the reference value.
  • the accumulated time is the accumulated time per predetermined period such as one week, 1.5 months (6 weeks), or 3 months (12 weeks), and the user can switch the time axis.
  • the predetermined period of time and the reference pace are indicated by dashed lines.
  • the graph of FIG. 9 can also be said to be a graph in which the value increases only during the period when %VO 2 max is equal to or higher than the reference value.
  • the user can easily comprehend the attainment of the exercise time when %VO 2 max is equal to or higher than the reference value.
  • the display unit 22 displays, for each estimated %VO 2 max level, the time at which the user's %VO 2 max reaches the level You may display the cumulative value of the time when you obtained In other words, display 22 may display a histogram of % VO2max over time.
  • FIG. 10 is a diagram showing a display example 3 of estimation results of %VO 2 max. The horizontal axis in the graph of FIG. 10 indicates the magnitude of %VO 2 max, and the vertical axis indicates the accumulated value over time.
  • the cumulative value is a cumulative value per predetermined period such as one day, one week, 1.5 months (6 weeks), or 3 months (12 weeks).
  • the user can easily comprehend the hourly histogram of % VO2max .
  • Exercise intensity estimation system 100 may simultaneously display two or more of the display screens in FIGS. 8 to 10, or selectively display the display screens in FIGS. may be displayed. Also, the exercise intensity estimation system 100 may be implemented as a system capable of displaying only part of the display screens of FIGS. 8 to 10. FIG.
  • the exercise intensity estimation system 100 allows the user to adjust the power-assisted bicycle 10 based on the relational expression determined by a plurality of sets of first information and second information and the load applied to the pedals 13 of the power-assisted bicycle 10 .
  • An estimating unit 24d for estimating %VO 2 max when riding a motorcycle and displaying the estimated %VO 2 max on the display unit 22 is provided.
  • %VO 2 max is an example of an index showing exercise intensity.
  • Such an exercise intensity estimation system 100 can assist the user in understanding % VO 2 max while riding the power-assisted bicycle 10 .
  • Mode 1 Notification Prompting Input of First Information
  • the exercise intensity estimation system 100 may notify the user to input the first information.
  • the notification unit 24e of the exercise intensity estimation device 20 makes a pop-up display of an object on the display unit 22 to notify the user to input the first information.
  • FIG. 11 is a diagram showing an example of the first information input screen on which such notification objects are popped up.
  • the notification unit 24e outputs sound from a speaker (not shown) included in the exercise intensity estimation device 20 to notify the user of prompting the user to input the first information. may be performed.
  • a sound here is an electronic sound, a voice message, or the like.
  • the notification unit 24e periodically (in other words, at a predetermined cycle) notifies the user of the need to input the first information.
  • the relational expression is calculated by a plurality of sets of the first information and the second information. It is considered that the more the load values vary moderately (the less the bias), the more accurately the relational expression can be calculated.
  • the notification unit 24e may calculate (monitor) the load applied to the pedal 13 based on the measured value of the torque and the measured value of the number of revolutions, and make the notification according to the calculated load. Specifically, the notification unit 24e divides the magnitude of the load into a plurality of sections in advance. The multiple sections are, for example, five sections with loads of 0 to 40 W, 40 W to 80 W, 80 to 120 W, 120 W to 160 W, and 160 W or higher. In addition, the notification unit 24e specifies the number of pieces of second information already stored in the storage unit 25 (the number of sets of first information and second information) corresponding to each section. Then, the notification unit 24e notifies when the load being monitored corresponds to a section in which the second information is insufficient.
  • the exercise intensity estimation system 100 can improve the calculation accuracy of the relational expression because it is possible to suppress the occurrence of a section in which the second information is insufficient.
  • the calculation unit 24c includes the second information indicating that the magnitude of the load is equal to or less than a predetermined value among the plurality of sets of first information and second information (see FIG. 5) stored in the storage unit 25.
  • the relational expression may be calculated by excluding the set.
  • the predetermined value is, for example, 120 W, and may be appropriately determined empirically or experimentally.
  • step S15 the second acquisition unit 24b (or the first acquisition unit 24a) does not store in the storage unit 25 the set including the second information indicating that the magnitude of the load is equal to or less than the predetermined value. good too. That is, the configuration may be such that the set of the first information and the second information when the load applied to the pedal 13 is small from the beginning is not used for calculating the relational expression.
  • the operation in the normal mode and the operation in the learning mode have been described separately, but the operation in the normal mode and the operation in the learning mode may be performed in parallel. Specifically, part or all of the processing in the learning mode operation may be performed during the normal mode operation (while estimating and displaying the exercise load).
  • processing includes processing for receiving input of the first information, processing for notifying to prompt input of the first information, and the like.
  • part or all of the processing described to be executed by the exercise intensity estimation device 20 may be executed by the power-assisted bicycle 10 (control unit 16, etc.). That is, some or all of the functional components such as the first acquisition unit 24a, the second acquisition unit 24b, the calculation unit 24c, the estimation unit 24d, and the notification unit 24e may be included in the power-assisted bicycle 10. .
  • the exercise intensity estimation system 100 may also be implemented as a client-server system. In this case, part or all of the processing performed by the exercise intensity estimation device 20 (client device) is performed by the exercise intensity estimation device 20 and a wide area communication network. It may be performed by a cloud server (server device) that communicates via. That is, part or all of the functional components such as the first acquisition unit 24a, the second acquisition unit 24b, the calculation unit 24c, the estimation unit 24d, and the notification unit 24e may be provided by the server device. Further, when exercise intensity estimation system 100 is implemented as a client-server system, the first information may be indirectly input via a server device client device. That is, the first information may be directly or indirectly input to the exercise intensity estimation system.
  • the exercise intensity exercise intensity estimation method executed by a computer, such as the exercise intensity estimation system 100, directly or indirectly inputs to the computer while the user is riding the power-assisted bicycle 10.
  • the second acquisition step S14 of acquiring the second information the relational expression determined by the acquired plural sets of the first information and the second information, and the load applied to the pedals 13 of the electrically assisted bicycle 10, the user performs the electrically assisted operation. It includes an estimation step S22 of estimating exercise intensity while riding the bicycle 10 and a display step S23 of displaying the estimated exercise intensity.
  • the exercise intensity is % VO2max .
  • Such an exercise intensity estimation method can estimate the exercise intensity of the user riding the power-assisted bicycle 10.
  • the estimated change in exercise intensity over time is displayed (see FIG. 8).
  • Such an exercise intensity estimation method can display changes over time in the exercise intensity of the user riding the power-assisted bicycle 10.
  • the cumulative value of the time during which the estimated exercise intensity is equal to or greater than the reference value is displayed.
  • Such an exercise intensity estimation method can display the cumulative value of the time during which the exercise intensity of the user riding the power-assisted bicycle 10 is equal to or higher than the reference value.
  • the change over time of the cumulative value is displayed (see FIG. 9).
  • Such an exercise intensity estimating method can graphically display changes over time in the cumulative value of the time during which the exercise intensity of the user riding the power-assisted bicycle 10 is equal to or greater than the reference value.
  • the cumulative value of the time during which the user obtained exercise intensity of that magnitude is displayed (see FIG. 10).
  • Such an exercise intensity estimation method can display, for each estimated exercise intensity, the cumulative value of the time during which the user obtained exercise intensity of that magnitude.
  • Such an exercise intensity estimation method can notify the user to prompt the user to input the first information.
  • notification is performed at a timing based on the magnitude of the load applied to the pedals 13 of the power-assisted bicycle 10.
  • Such an exercise intensity estimation method makes it possible to acquire data in a section in which the set (data) of the first information and the second information is insufficient due to notification.
  • the exercise intensity estimation method further includes a calculation step S17 for calculating the above relational expression.
  • a relational expression is calculated by excluding a set including second information indicating that the magnitude of the load is equal to or less than a predetermined value among the plurality of sets of first information and second information that have been acquired. do.
  • Such an exercise intensity estimation method can improve the calculation accuracy of the relational expression.
  • the exercise intensity estimation system 100 is the first information that is directly or indirectly input to the exercise intensity estimation system 100 while the user is riding the electrically power-assisted bicycle 10.
  • a first acquisition unit 24a that acquires first information indicating the first information
  • a second acquisition unit 24b that acquires second information indicating the load applied to the pedals 13 of the electrically power-assisted bicycle 10 when the first information is input
  • estimating the exercise intensity when the user is riding the power-assisted bicycle 10 based on the relational expression determined by the plurality of sets of first information and second information and the load applied to the pedals 13 of the power-assisted bicycle 10, an estimation unit 24d that displays the estimated exercise intensity on the display unit 22;
  • Such an exercise intensity estimation system 100 can estimate the exercise intensity of the user riding the power-assisted bicycle 10.
  • the exercise intensity estimation system was realized by a plurality of devices.
  • the components (especially functional components) included in the exercise intensity estimation system may be distributed to multiple devices in any way.
  • the exercise intensity estimation system may be realized by a single device.
  • the exercise intensity estimation system may be realized as a single device corresponding to the exercise intensity estimation device or the power-assisted bicycle of the above embodiments.
  • processing executed by a specific processing unit may be executed by another processing unit.
  • order of multiple processes may be changed, and multiple processes may be executed in parallel.
  • each component may be realized by executing a software program suitable for each component.
  • Each component may be realized by reading and executing a software program recorded in a recording medium such as a hard disk or a semiconductor memory by a program execution unit such as a CPU or processor.
  • each component may be realized by hardware.
  • each component may be a circuit (or integrated circuit). These circuits may form one circuit as a whole, or may be separate circuits. These circuits may be general-purpose circuits or dedicated circuits.
  • the present invention may be implemented as the exercise intensity estimation system, the exercise intensity estimation device, or the electrically power assisted bicycle according to the above embodiments. Further, the present invention may be implemented as an exercise intensity estimation method executed by a computer such as an exercise intensity estimation system, or may be implemented as a program for causing a computer to execute such an exercise intensity estimation method. The present invention may be implemented as a computer-readable non-temporary recording medium in which such a program is recorded.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Transportation (AREA)
  • Rehabilitation Tools (AREA)

Abstract

La présente invention concerne un procédé d'estimation d'intensité d'exercice qui comprend : une première étape d'acquisition dans laquelle des premières informations sont acquises, lesquelles sont entrées dans un dispositif d'estimation d'intensité d'exercice lorsqu'un utilisateur utilise une bicyclette à assistance électrique et indiquent l'amplitude de la charge perçue de l'utilisateur ; une seconde étape d'acquisition dans laquelle des secondes informations sont acquises, lesquelles indiquent la charge appliquée aux pédales de la bicyclette à assistance électrique lorsque les premières informations ont été entrées ; une étape d'estimation (S22) dans laquelle l'intensité d'exercice, lorsque l'utilisateur utilise la bicyclette à assistance électrique, est estimée sur la base d'une formule de relation déterminée par une pluralité d'ensembles obtenus de premières et secondes informations et sur la base de la charge appliquée aux pédales de la bicyclette à assistance électrique ; et une étape d'affichage (S23) dans laquelle l'intensité d'exercice estimée est affichée.
PCT/JP2022/043499 2021-12-22 2022-11-25 Procédé d'estimation d'intensité d'exercice et système d'estimation d'intensité d'exercice WO2023120027A1 (fr)

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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60148539A (ja) * 1984-01-14 1985-08-05 オムロン株式会社 電子心拍計
JPH11244414A (ja) * 1998-02-26 1999-09-14 Mizuno Corp 無酸素性代謝閾値における仕事率の簡易測定方法とその測定用自転車エルゴメータ
JP2002165769A (ja) * 2000-12-05 2002-06-11 Bridgestone Cycle Co 表示装置
JP2004321585A (ja) * 2003-04-25 2004-11-18 Nagano Nationl College Of Technology 運動療法指導管理装置
US20110040193A1 (en) * 2008-05-02 2011-02-17 Firstbeat Technologies Oy Fitness test
US20140113768A1 (en) * 2012-10-19 2014-04-24 Industrial Technology Research Institute Exercise bike and operation method thereof
JP2014166559A (ja) * 2014-04-22 2014-09-11 Seiko Epson Corp 生体情報測定装置及び方法
US20160184637A1 (en) * 2013-09-11 2016-06-30 Firstbeat Technologies Oy Method to determine body's physiological response to physical exercise for assessing readiness and to provide feedback, and system for implementing the method
JP2019182227A (ja) * 2018-04-11 2019-10-24 ボッシュ株式会社 電動アシスト自転車、電動アシスト自転車制御システム、および電動アシスト自転車の制御用プログラム

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60148539A (ja) * 1984-01-14 1985-08-05 オムロン株式会社 電子心拍計
JPH11244414A (ja) * 1998-02-26 1999-09-14 Mizuno Corp 無酸素性代謝閾値における仕事率の簡易測定方法とその測定用自転車エルゴメータ
JP2002165769A (ja) * 2000-12-05 2002-06-11 Bridgestone Cycle Co 表示装置
JP2004321585A (ja) * 2003-04-25 2004-11-18 Nagano Nationl College Of Technology 運動療法指導管理装置
US20110040193A1 (en) * 2008-05-02 2011-02-17 Firstbeat Technologies Oy Fitness test
US20140113768A1 (en) * 2012-10-19 2014-04-24 Industrial Technology Research Institute Exercise bike and operation method thereof
US20160184637A1 (en) * 2013-09-11 2016-06-30 Firstbeat Technologies Oy Method to determine body's physiological response to physical exercise for assessing readiness and to provide feedback, and system for implementing the method
JP2014166559A (ja) * 2014-04-22 2014-09-11 Seiko Epson Corp 生体情報測定装置及び方法
JP2019182227A (ja) * 2018-04-11 2019-10-24 ボッシュ株式会社 電動アシスト自転車、電動アシスト自転車制御システム、および電動アシスト自転車の制御用プログラム

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