WO2018184092A1 - Système et procédé de suivi des performances d'une bicyclette - Google Patents

Système et procédé de suivi des performances d'une bicyclette Download PDF

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Publication number
WO2018184092A1
WO2018184092A1 PCT/CA2018/000066 CA2018000066W WO2018184092A1 WO 2018184092 A1 WO2018184092 A1 WO 2018184092A1 CA 2018000066 W CA2018000066 W CA 2018000066W WO 2018184092 A1 WO2018184092 A1 WO 2018184092A1
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WO
WIPO (PCT)
Prior art keywords
sensors
data
time
sensor
bicycle
Prior art date
Application number
PCT/CA2018/000066
Other languages
English (en)
Inventor
Marc Graveline
Original Assignee
Notio Technologies Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Notio Technologies Inc. filed Critical Notio Technologies Inc.
Publication of WO2018184092A1 publication Critical patent/WO2018184092A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
    • G01M9/06—Measuring arrangements specially adapted for aerodynamic testing
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports
    • A63B69/16—Training appliances or apparatus for special sports for cycling, i.e. arrangements on or for real bicycles
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Wheeled or endless-tracked vehicles
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data

Definitions

  • the present disclosure generally relates to bicycles. More specifically, the present disclosure is concerned with a bicycle performance tracking system and method.
  • Some of the bicycle computer may output the tracked performance so that the user may review his performance during training.
  • Figure 1 is a bloc diagram of a bicycle performance tracking system according to an illustrative embodiment
  • Figure 2 is a flow chart of a bicycle performance tracking method according to an illustrative embodiment.
  • An object is generally to provide an improved bicycle performance tracking system including different sensors that allow a better understanding of the use of a bicycle.
  • a bicycle performance tracking system comprising: a plurality of sensors for gathering data related to a use of a bicycle; and a controller coupled to the plurality of sensors so as to receive the data therefrom; the controller being configured for i) time stamping the data received from the plurality of sensors, resulting in time-stamped data, and ii) creating a timeline including at least some of the time-stamped data.
  • a bicycle performance tracking method comprising: real-time gathering, from a plurality of sensors, of data related to a use of a bicycle; time stamping the data received from the plurality of sensors, resulting in time-stamped data; and creating a timeline including at least some of the time-stamped data.
  • connection and “coupled” are interchangeable and should be construed herein and in the appended claims broadly so as to include any cooperative or passive association between mechanical parts or components.
  • such parts may be assembled together by direct coupling or connection, or indirectly coupled or connected using further parts.
  • the coupling and connection can also be remote, using for example a magnetic field or else.
  • the illustrative embodiment of the bicycle performance tracking system includes sensors mounted on the bicycle and onto the rider. These sensors supply data to an on-board controller that time stamps the data to thereby create a timeline of the various events recorded by the sensors and thus provide data validation, allow bad data filtering and provide context information for the various events occurring during training as will be better described hereinbelow.
  • the on-board controller 10 is a computer that has the main tasks of acquiring data from the various sensors; transmitting the data to an external computer (not shown); time stamping the data coming from the various sensors, and selectively communicating with the cellular network.
  • the tracking system includes a cellular access 12 in bi-directional communication with the on-board controller 10.
  • this cellular access 12 may be allowed via a hardware component coupled to or part of the controller 10, allowing the controller 10 to communicate with the internet, for example, via a cellular telephone network or directly to a smart phone, tablet or any wearable device owned by the user, for example.
  • the cellular access 12 can use various technologies to communicate with the world outside the tracking system. These various technologies include, amongst others, Bluetooth and Wi-Fi.
  • the GPS 14 is conventionally used to gather position data and supply it to the controller 10.
  • the tracking system may use a conventional GPS or could use a GPS provided on a mobile phone or tablet of the user.
  • the GPS from a bike computer could also be used.
  • the aerodynamic sensor 16 includes an air-speed sensor that determines wind speed.
  • air-speed sensors also known as aerosticks, include a pilot tube leading to a differential pressure sensor.
  • the biomechanics sensors 18 include various body position sensors positioned on the rider to monitor the position of the rider on the bicycle. These sensors 18 are positioned, for example, on the arms, helmet, torso and legs of the rider and therefore may supply the rider's position, in realtime, to the controller 10.
  • these various sensors can be separately applied to the rider or could be part of the rider's clothing as wearable sensors.
  • the riding sensors 20 include various sensors provided on the bicycle to determine its 3d orientation via roll, yaw and pitch sensors (for the frame, for the handlebar or for both) and to determine if the bike is braking or accelerating. Furthermore, the riding sensor suite 20 includes gearing sensors that detect gearing changes and supply this data to the controller 10.
  • the physiologic sensors 22 are worn by the rider and supply various data such as heart rate (HR), heart rate variability (HRV) and Oxygenation level to the controller 10.
  • HR heart rate
  • HRV heart rate variability
  • Oxygenation level oxygen level
  • the external world sensors 24 include proximity sensors that detect other vehicles in proximity of the bicycle.
  • the various elements of the tracking system such as the controller 10 and the various sensors detailed hereinabove may be embodied by the following sensors:
  • GPS 14 GPS sensor model MediaTek MTK3339 made by
  • Air-Speed sensor (Aerostick): Made by Notio Technologies
  • Temperature sensor Bosch model BME280;
  • Atmospheric pressure sensor Bosch model BME280;
  • Humidity sensor Bosch model BME280;
  • HRV sensor 4iiii /Polar model MTK3339;
  • the CDA Coefficient of Drag
  • the controller 10 can be determined by the controller 10, or by a computing device coupled thereto, using data from the sensors 14-28.
  • CDA may be viewed as a measure of how efficiently the rider converts the power into forward speed. In other words, the lower is the CDA, the faster the rider goes for the same level of effort. CDA is also a shorthand for CD * A. CD is the coefficient of drag, and A is the frontal area of the rider and the bicycle.
  • the CDA can be obtained by the following formula:
  • the controller 0 can calculate Prr using the speed, mass of the rider and a rolling resistance coefficient.
  • the controller 10 may also calculate Pi since the change of speed is required and available.
  • the inclination and the mass of the rider are required and available.
  • CDA in real-time.
  • the on-board controller 10 could alternatively provide a common clock to the various sensors so that their respective data may accurately be positioned on a virtual timeline.
  • the real-time clock of the GPS 14 could be used.
  • the first step 102 of this performance tracking method is the gathering of data related to the use of a bicycle from a plurality of sensors and in real time. As mentioned above, these sensors are provided on the bicycle or directly on the rider. [0043] Then, the data is time-stamped in step 104.
  • a timeline is created using at least some of the time-stamped data.
  • sensor precision may always be improved and may yield more accurate calculations of the CDA, for example.
  • some of the sensors alone or in combination may help improve the precision of other sensors.
  • the altitude is used in the CDA calculation.
  • the precision of the basic altitude inferred from the atmospheric pressure sensor may be improved by the GPS 14.
  • the controller 10 may send GPS data to an external server (not shown) via the cellular access 12 to receive precise altitude data. This can be done in real-time or once the data is transferred to an external computer (not shown) for analysis.
  • the gyroscopes are used to propagate the roll and pitch angles of the bike in order to project the longitudinal speed into its vertical component. This vertical speed is used to compute the altitude variation.
  • This algorithm is interesting since it is not affected by the external environment (e.g. temperature and pressure variations) but it requires a precise alignment of the sensor and bike frames.
  • the aerodynamic data supplied by the aerostick can be improved via the yaw sensor of the handlebar.
  • the value sensed may be improved by the controller 10 when the handlebar is turned so that the bicycle can change direction. Since the controller knows the angle of the handlebar, it can compensate for the direction change of the bicycle.
  • the rolling resistance of the tires on the ground is used in the calculation of the CDA.
  • the basic measure of the rolling resistance can be improved by knowing the 3d orientation of the bicycle since the rolling resistance varies depending on which portion of the tires touches the ground. Accordingly, the data supplied by the pitch, yaw and roll sensors of the riding sensors suite 20 are used to improve the value of the rolling resistance and therefore the value of the CDA.
  • the data coming from the pitch sensor of the riding sensor suite 20 can be improved by measuring the altitude difference between two points on the road (for example using the GPS data), knowing the distance between these two points.
  • the controller 10 may be configured as to use the atmospheric pressure difference between these two points.
  • the air density which is used to accurately determine wind speed, is determined by the environment sensors 28 and thereby allows the improvement of the data from the aerostick sensor.
  • the controller 10 may verify that the altitude measured via the atmospheric pressure sensor is the correct altitude by comparing the current measured altitude with the previous altitude measured when the rider previously passed the same location in the loop.
  • the atmospheric pressure sensor uses the sea level atmospheric pressure. Instead of estimating this pressure, the controller 10 may use the cellular access 12 to retrieve this information from the Internet, to thereby improve the altitude determination.
  • the data from these riders may be pooled to improve the data from the environmental and aerodynamic sensors for all the riders present. Furthermore, this data pooling may help in finding faulty sensors should a particular rider supply data vastly different from the others.
  • the GPS 14 and the atmospheric pressure data may be used to determine the inclination of the bike. This data may be improved by comparing the data with the data coming from the inclinometer of the riding sensors.
  • the calculation of the CDA uses the rolling resistance as a variable.
  • the rolling resistance is generally constant for a particular training since the bicycle features and the weight of the user does not significantly changes during this time.
  • scrubbing, steering and vibrations measured at the handlebar level may change the value of the rolling resistance.
  • the controller 10 may calculate recalculate the rolling resistance value for this portion of the training session in view of calculating a more accurate CDA.
  • the rolling resistance is generally considered a constant within a particular training. However, should the rider enter a curve at high speed, the change in the orientation of the G force on the bike and the rider changes the value of the rolling resistance. Since the riding sensor suite 20 may detect the roll of the bike and the traditional sensor suite 26 may supply the instantaneous speed, the controller 10 may be configured to correct the rolling resistance value in those cases.
  • the controller may determine the speed of the rider from the speed of the wheels and the inclination of the bicycle.
  • All the data supplied by the sensors is not necessary good data and further data coming from other sensors may help discriminate between good and bad data.
  • the filtering of untrustworthy CDA readings will be shown as an example of data filtering.
  • the CDA is an interesting factor to consider since a high proportion of the power generated by the rider is used to fight the CDA.
  • the data from the aerostick, used in the determination of the CDA is not trustworthy.
  • the controller 10 is so configured as to reject the aerostick data when the proximity sensor detects a vehicle passing the rider.
  • Speed changes and instantaneous speed are used in the calculation of the CDA.
  • the controller may use the acceleration data supplied by the accelerometer of the riding sensors suite 20 and/or the braking data from the brake sensor thereof. Position data coming from the GPS 14 could also be used to validate the instantaneous speed of the rider.
  • speed data may be determined by the GPS 14 and by the speed sensor, usually provided on one wheel of the bike.
  • the controller 10 may correlate the speed data with the acceleration data from the acceleration sensor and/or with the brake sensor to determine if the speed data is correct and to reject it should no acceleration or braking be detected.
  • the system allows the rider to review his or her performance by analyzing the timeline created with the time stamped data from the various sensors 14-28.
  • the controller 10 or the external computer may use the data to highlight performances changes during the training session or by comparing the present training session with previous sessions.
  • an elevation of the heart rate of the user may be explained for example by temperature, humidity or altitude variations or by the rider position, which are all data available from the sensors 14-28.
  • an increase in the CDA may be explained by the rider position. Indeed, since the rider position affects the frontal area is affects the CDA, position changes may explain changes in the CDA calculated value. The rider may thus appreciate how is position affects the speed and the power required to go at the desired speed.
  • the user may, for example, view the effects that small body position variations may have on power or HR.
  • the rolling resistance is used in the computation of the CDA.
  • the value of the rolling resistance is not a constant for a particular rider and/or bicycle, but varies with the attitude of the bicycle. Accordingly, the data from the riding sensors, including the roll sensor, may be used by the controller 10 to adjust the value of the rolling resistance.
  • the movements of the handlebars of the bicycle also affect the value of the rolling resistance. Since the riding sensor suite 20 includes sensors, it is possible to detect yaw changes in the handlebars and to correct the rolling resistance value.
  • the data from the various sensors 14-28 may be used to determine the reasons behind performance variations. For example, should the HR of a particular rider developing a known power is different than usual, the controller may look at the position of the rider, from the biomechanics sensor suite 8, the fatigue of the rider, from the HRV or Oxygen sensors of the physiologic sensors suite to explain the differences in performance.
  • the controller 10 may have multiple other functions that consider the data from the various sensors. As a non-limiting example, if the controller 10 determines that there has been an accident involving the rider (using various sensors such as pitch, yaw, roll, HR, body position) the controller 10 may send a call for help using the cellular access 12 and supply GPS data.
  • the bicycle performance tracking system is not limited in its application to the details of construction and parts illustrated in the accompanying drawings and described hereinabove.
  • the bicycle performance tracking system is capable of other embodiments and of being practiced in various ways.
  • the phraseology or terminology used herein is for the purpose of description and not limitation.
  • the bicycle performance tracking system has been described hereinabove by way of illustrative embodiments thereof, it can be modified, without departing from the spirit, scope and nature thereof.
  • a bicycle performance tracking system comprising:
  • a controller coupled to the plurality of sensors so as to receive the data therefrom; the controller being configured for i) time stamping the data received from the plurality of sensors, resulting in time-stamped data, and ii) creating a timeline including at least some of the time-stamped data.
  • the first sensor being an atmospheric pressure sensor and at least another sensor including an accelerometer, a speed sensor and a gyroscope; wherein the controller being further configured to use time- stamped data related to the accelerometer, the speed sensor and the gyroscope to determine first altitude data; the first altitude data being used by the controller to improve second altitude data inferred by the controller from the atmospheric pressure data.
  • a bicycle performance tracking method comprising:

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Fluid Mechanics (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

L'invention concerne un système et un procédé de suivi des performances d'une bicyclette, qui comprennent des capteurs montés sur la bicyclette et sur le cycliste. Ces capteurs fournissent des données à un dispositif de commande embarqué qui horodate les données pour ainsi créer une ligne chronologique des divers événements enregistrés par les capteurs et fournir ainsi une validation de données, permettre un mauvais filtrage de données et fournir des informations de contexte pour les divers événements se produisant pendant l'apprentissage.
PCT/CA2018/000066 2017-04-04 2018-03-29 Système et procédé de suivi des performances d'une bicyclette WO2018184092A1 (fr)

Applications Claiming Priority (2)

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US201762481159P 2017-04-04 2017-04-04
US62/481,159 2017-04-04

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WO2018184092A1 true WO2018184092A1 (fr) 2018-10-11

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3693259A1 (fr) * 2019-02-09 2020-08-12 DT Swiss AG Procédé de détermination des données de performance lors de la conduite d'une bicyclette et composant de deux roues
EP3693257A1 (fr) * 2019-02-09 2020-08-12 DT Swiss AG Procédé de détection et d'évaluation de données de capteur et composants à deux roues
CN113280816A (zh) * 2021-05-18 2021-08-20 深圳市佑运安智能科技有限公司 一种骑行姿态确认方法、装置、计算机设备及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7715982B2 (en) * 2002-11-01 2010-05-11 M.B.T.L. Limited Monitoring sports
US20120221257A1 (en) * 2011-02-28 2012-08-30 Froncioni Andy Determining angular dependence of aerodynamic drag area for a vehicle
EP2189191B1 (fr) * 2008-11-25 2016-02-24 Fox Factory, Inc. Procédés et appareil de compétition virtuelle
CA2968322A1 (fr) * 2014-11-18 2016-05-26 Vanhawks Inc. Bicyclettes optimisees reseau, bicyclettes interconnectees dans un reseau maille, dispositifs electronique pour bicyclettes, et procedes associes

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7715982B2 (en) * 2002-11-01 2010-05-11 M.B.T.L. Limited Monitoring sports
EP2189191B1 (fr) * 2008-11-25 2016-02-24 Fox Factory, Inc. Procédés et appareil de compétition virtuelle
US20120221257A1 (en) * 2011-02-28 2012-08-30 Froncioni Andy Determining angular dependence of aerodynamic drag area for a vehicle
CA2968322A1 (fr) * 2014-11-18 2016-05-26 Vanhawks Inc. Bicyclettes optimisees reseau, bicyclettes interconnectees dans un reseau maille, dispositifs electronique pour bicyclettes, et procedes associes

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3693259A1 (fr) * 2019-02-09 2020-08-12 DT Swiss AG Procédé de détermination des données de performance lors de la conduite d'une bicyclette et composant de deux roues
EP3693257A1 (fr) * 2019-02-09 2020-08-12 DT Swiss AG Procédé de détection et d'évaluation de données de capteur et composants à deux roues
US11471732B2 (en) 2019-02-09 2022-10-18 Dt Swiss Inc. Method for the acquisition and evaluation of sensor data and two-wheel component
CN113280816A (zh) * 2021-05-18 2021-08-20 深圳市佑运安智能科技有限公司 一种骑行姿态确认方法、装置、计算机设备及存储介质

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