JP2016158780A - Riding attitude evaluation device, riding attitude evaluation method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a device for more appropriately evaluating a bicycle riding skill.SOLUTION: A riding attitude evaluation system includes a measuring device 100. The measuring device 100 includes a sensor part and a riding evaluation processing part 152. The sensor part acquires a physical amount (acceleration, angular velocity, or atmospheric pressure, etc.) on a user at the time when the user is riding a bicycle. The riding evaluation processing part 152 evaluates the user's riding attitude at the time when the user is riding a bicycle based on the physical amount acquired by the sensor part.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a bicycle riding posture evaluation apparatus, a riding posture evaluation method, and a program.

Conventionally, traveling speed, average speed, cadence (number of rotations), heart rate, power, and the like are acquired as information related to traveling of a bicycle and used for evaluation of riding technology.
Patent Document 1 discloses a technique related to a cycle computer that measures, records, and displays information related to bicycle travel during travel.

JP 2005-67354 A

However, a technique for acquiring information related to bicycle travel, such as a conventional cycle computer, can capture the motion of the bicycle itself, but does not actually capture the motion of the rider itself.
On the other hand, for riders aiming to move faster or farther, driving skills such as their own running posture are important factors. Therefore, it is useful for the rider if his / her driving technique can be objectively and accurately evaluated during or after traveling, but such a technique has not yet been realized.
That is, in the conventional technology, it has been difficult to appropriately evaluate the bicycle driving technology.

  The present invention has been made in view of such a situation, and an object thereof is to more appropriately evaluate the driving skill of a bicycle.

In order to achieve the above object, a riding posture evaluation apparatus according to an aspect of the present invention includes:
Acquisition means for acquiring a physical quantity of the user when riding a bicycle;
Evaluation processing means for evaluating the user's riding posture when the user is riding a bicycle based on the physical quantity acquired by the acquiring means;
It is characterized by providing.

  According to the present invention, it is possible to more appropriately evaluate a bicycle driving technique.

It is a mimetic diagram showing the system configuration of the driving evaluation system concerning one embodiment of the present invention. It is a block diagram which shows the structure of the hardware of a measuring device. It is a block diagram which shows the hardware constitutions of an information display apparatus. It is a block diagram which shows the hardware constitutions of an imaging device. It is a functional block diagram which shows the functional structure for performing a driving | running state determination process and an imaging | photography process among the functional structures of the driving evaluation system. It is a figure which shows an example of the waveform pattern of the acceleration when a boarding attitude | position changes from sitting to dancing. It is a figure which shows an example of the waveform pattern of the acceleration at the time of walking. It is a figure which shows an example of the waveform pattern of the acceleration at the time of bicycle riding (at the time of sitting). It is a flowchart explaining the flow of the driving | running state determination process which the measuring apparatus of FIG. 2 which has the functional structure of FIG. 5 performs. It is a flowchart explaining the flow of a driving | running evaluation process. 6 is a flowchart for explaining a flow of imaging processing executed by the imaging apparatus of FIG. 4 having the functional configuration of FIG. 5.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a schematic diagram showing a system configuration of a driving evaluation system 1 according to an embodiment of the present invention.
The driving evaluation system 1 includes a measuring device 100, an information display device 200, and an imaging device 300. These devices are configured to be able to communicate with each other by wireless communication such as Bluetooth (registered trademark). .
The measuring device 100 is attached to the body (for example, the waist) of a bicycle rider (driver who is a user), and measures a physical quantity in the rider's body.
The information display device 200 is configured by a mobile terminal such as a smartphone, and displays the measurement result of the measurement device 100.
The imaging device 300 is mounted on a rider's body (for example, the head) and photographs a landscape that the rider visually recognizes.
[Hardware configuration]
FIG. 2 is a block diagram illustrating a hardware configuration of the measurement apparatus 100.
The measuring apparatus 100 includes a CPU (Central Processing Unit) 111, a ROM (Read Only Memory) 112, a RAM (Random Access Memory) 113, a bus 114, an input / output interface 115, a sensor unit 116, and an input unit 117. An output unit 118, a storage unit 119, and a communication unit 120.

  The CPU 111 executes various processes according to a program recorded in the ROM 112 or a program loaded from the storage unit 119 to the RAM 113.

  The RAM 113 appropriately stores data necessary for the CPU 111 to execute various processes.

  The CPU 111, ROM 112, and RAM 113 are connected to each other via a bus 114. An input / output interface 115 is also connected to the bus 114. A sensor unit 116, an input unit 117, an output unit 118, a storage unit 119, and a communication unit 120 are connected to the input / output interface 115.

The sensor unit 116 includes a sensor that measures a physical quantity and a position sensor that measures a position. In the present embodiment, the sensor unit 116 includes a triaxial acceleration sensor and measures the acceleration in the vertical direction and the horizontal direction at the rider's wearing site. In addition, the sensor unit 116 receives a GPS (Global Positioning System) signal and acquires a position signal based on the GPS.
The input unit 117 is configured with various buttons and the like, and inputs various information according to a user's instruction operation.
The output unit 118 includes a lamp, a speaker, a vibration motor, and the like, and outputs light, sound, or a vibration signal.
The storage unit 119 includes a semiconductor memory such as a DRAM (Dynamic Random Access Memory) and stores various data.
The communication unit 120 controls communication performed with other devices by direct wireless communication between terminals.

FIG. 3 is a block diagram illustrating a hardware configuration of the information display device 200.
The information display device 200 includes a CPU 211, a ROM 212, a RAM 213, a bus 214, an input / output interface 215, an imaging unit 216, an input unit 217, an output unit 218, a storage unit 219, a communication unit 220, Drive 221.

  Among these, the configurations of the CPU 211, the ROM 212, the RAM 213, the bus 214, and the input / output interface 215 are the same as the corresponding configurations of the measurement apparatus 100 in FIG.

  Although not shown, the imaging unit 216 includes an optical lens unit and an image sensor.

The optical lens unit is configured by a lens that collects light, for example, a focus lens or a zoom lens, in order to photograph a subject.
The focus lens is a lens that forms a subject image on the light receiving surface of the image sensor. The zoom lens is a lens that freely changes the focal length within a certain range.
The optical lens unit is also provided with a peripheral circuit for adjusting setting parameters such as focus, exposure, and white balance as necessary.

The image sensor includes a photoelectric conversion element, AFE (Analog Front End), and the like.
The photoelectric conversion element is composed of, for example, a CMOS (Complementary Metal Oxide Semiconductor) type photoelectric conversion element or the like. A subject image is incident on the photoelectric conversion element from the optical lens unit. Therefore, the photoelectric conversion element photoelectrically converts (captures) the subject image, accumulates the image signal for a predetermined time, and sequentially supplies the accumulated image signal as an analog signal to the AFE.
The AFE performs various signal processing such as A / D (Analog / Digital) conversion processing on the analog image signal. Through various signal processing, a digital signal is generated and output as an output signal of the imaging unit 216.
Such an output signal of the imaging unit 216 is hereinafter referred to as “captured image data”. Data of the captured image is appropriately supplied to the CPU 211 and the like.

The input unit 217 includes various buttons, a touch panel, and the like, and inputs various information according to a user instruction operation.
The output unit 218 includes a display, a speaker, and the like, and outputs an image and sound.
The storage unit 219 is configured by a hard disk, a DRAM, or the like, and stores various image data.
The communication unit 220 controls direct wireless communication between terminals or communication performed with other devices via a network including the Internet.

  A removable medium 231 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately attached to the drive 221. The program read from the removable medium 231 by the drive 221 is installed in the storage unit 219 as necessary. The removable medium 231 can also store various data such as image data stored in the storage unit 219 in the same manner as the storage unit 219.

FIG. 4 is a block diagram illustrating a hardware configuration of the imaging apparatus 300.
The imaging apparatus 300 is configured by, for example, a wearable digital camera, and includes a CPU 311, a ROM 312, a RAM 313, a bus 314, an input / output interface 315, an imaging unit 316, a storage unit 317, and a communication unit 318. I have.

  Among these, the configurations of the CPU 311, ROM 312, RAM 313, bus 314, input / output interface 315, and communication unit 318 are the same as the corresponding configurations of the measurement apparatus 100 in FIG. 1. The configurations of the imaging unit 316 and the storage unit 317 are the same as the corresponding configurations of the information display device 200.

FIG. 5 is a functional block diagram illustrating a functional configuration for executing the driving state determination process and the imaging process among the functional configurations of the driving evaluation system 1.
The driving state determination process refers to a series of processes in which the rider's riding posture and driving state are determined from the physical quantity acquired by the sensor unit 116 in the measuring apparatus 100 and an image is taken according to the determination result.
The imaging process refers to a series of processes in the imaging apparatus 300 that receives an imaging trigger signal from the measurement apparatus 100 that executes the driving state determination process and executes imaging.

When the driving state determination process is executed, as shown in FIG. 5, in the CPU 111 of the measuring apparatus 100, the sensor information acquisition unit 151, the driving evaluation processing unit 152, the imaging control unit 153, and the boarding determination unit 154 And the output control unit 155 functions. Similarly, the display information receiving unit 251 and the display control unit 252 function in the CPU 211 of the information display device 200.
In addition, an evaluation information storage unit 171 is set in one area of the storage unit 119 in the measurement apparatus 100.
The evaluation information storage unit 171 stores the physical quantity data measured by the sensor unit 116, the rider's riding posture, and the evaluation result of the rider's driving state in association with each other.

In the measuring apparatus 100, the sensor information acquisition unit 151 acquires physical quantity data (sensor information) measured by the sensor unit 116 every preset time (for example, 0.1 seconds).
The driving evaluation processing unit 152 executes driving evaluation processing described later based on the physical quantity acquired by the sensor information acquisition unit 151 and acquires the rider's riding posture and driving state evaluation results. Hereinafter, these are collectively referred to as “driving evaluation processing results” as appropriate. The result of the driving evaluation process comprehensively represents an evaluation related to the rider's state, including what the rider's riding posture is and what the driving content is. As a rider's riding posture, there are mainly known a sitting state in which the user sits on the saddle and steps on the pedal, and a dancing that steps on the pedal while standing up from the saddle. Which riding posture the rider is in can be determined from the waveform pattern of acceleration in the vertical direction, the front-rear direction and the left-right direction of the traveling direction. Further, as the evaluation of the driving state, for example, it is possible to perform an evaluation such as a desirable state, a normal state, or an undesired state as the driving state of the rider. The evaluation of the driving state can be determined from the stability of the physical quantity measured by the sensor unit 116, the duration of the riding posture, the magnitude of the difference from the reference data, or the maintenance state of cadence or traveling speed. it can.

FIG. 6 is a diagram illustrating an example of an acceleration waveform pattern when the riding posture changes from sitting to dancing.
As shown in FIG. 6, an experimental result has been obtained that the ratio of the acceleration in the vertical direction, the front-rear direction, and the left-right direction and the absolute value of the amplitude are clearly different between the sitting state and the dancing state. Therefore, as a condition for discriminating the riding posture, it is possible to set a determination threshold in the absolute value of the amplitude and the ratio of the acceleration in the vertical direction, the front-rear direction, and the left-right direction based on the experimental value. For example, in the case of sitting and in the case of dancing, the ratio of the amplitudes (absolute values) of acceleration in the vertical direction, the front-rear direction, and the left-right direction is approximately 1: 1: 2 for sitting and approximately 4: 1 for dancing. Therefore, the determination threshold can be set on the basis of these ratios. However, since these ratios vary depending on the specifications of the bicycle on which the rider rides, it is desirable to adjust the ratio by performing calibration on the bicycle on which the rider rides.

  As for other bicycle riding postures, uprights that are sitting with the upper body raised, normal that is sitting with the upper body tilted forward, normal riding that sits on the front of the saddle, and normal that sits on the rear of the saddle There are known rear riding, aggressive dancing, which is a stepping pedal for speed, and resting dancing, which is a stepping pedal that slowly suppresses the exhaustion of physical strength. Also in these cases, it is possible to determine which state is in accordance with the waveform pattern (for example, ratio or absolute value) of the physical quantity measured by the sensor unit 116.

Returning to FIG. 5, the imaging control unit 153 determines that the boarding posture and the driving state evaluation result (driving evaluation processing result) acquired by the driving evaluation processing unit 152 are set in a specific state (for example, “the riding posture is ”Changed”, “becomes a specific riding posture”, “degraded stability of measured physical quantity”, etc.), and is in a specific state set in advance Then, a shooting trigger signal is output to the imaging apparatus 300. The shooting trigger signal includes shooting parameters (that is, shooting parameters corresponding to a specific state) corresponding to the evaluation result (driving evaluation processing result) of the riding posture and the driving state.
The boarding determination unit 154 determines whether or not the rider is on a bicycle based on the physical quantity acquired by the sensor information acquisition unit 151. Whether or not the rider is on a bicycle can be determined from the waveform pattern of acceleration in the vertical direction, the front-rear direction, and the left-right direction.

FIG. 7 is a diagram illustrating an example of a waveform pattern of acceleration during walking.
FIG. 8 is a diagram showing an example of an acceleration waveform pattern when riding a bicycle (when sitting).
As shown in FIGS. 7 and 8, there is an experimental result that the ratio of acceleration in the vertical direction, the front-rear direction, and the left-right direction is clearly different between when walking and when riding a bicycle. . Therefore, as a condition for discriminating between walking and riding a bicycle, a determination threshold for the ratio of acceleration in the vertical direction, the front-rear direction, and the left-right direction can be set based on experimental values. Similarly, since the acceleration amplitude is clearly different between running such as jogging and riding a bicycle, the determination threshold for the acceleration amplitude can be set based on experimental values. For example, as an example, in the case of walking and the case of sitting, the ratio of the amplitude (absolute value) of acceleration in the vertical direction, the front-rear direction, and the left-right direction is approximately 2: 1: 1 for walking and approximately 1: 1 for sitting. Therefore, the determination threshold value can be set on the basis of these ratios. However, these ratios vary depending on the physical characteristics of the rider, the specifications of the bicycle on which the rider rides, etc., and can be adjusted by calibration by walking or calibration on the ride bicycle. desirable.

Returning to FIG. 5, the output control unit 155 outputs the driving evaluation processing result in the driving evaluation processing unit 152 to the information display device 200. Further, the output control unit 155 determines whether or not the driving evaluation processing result in the driving evaluation processing unit 152 matches a preset notification condition. If the notification control condition is satisfied, a sound indicating the driving evaluation processing result is output. Output. As a notification condition in the driving evaluation processing result of the driving evaluation processing unit 152, for example, a case where the riding posture changes or a case where the riding posture is disturbed can be set.
In the information display device 200, the display information receiving unit 251 receives the driving evaluation processing result from the measuring device 100.
The display control unit 252 displays the driving evaluation processing result received by the display information receiving unit 251 on the display. At this time, the display control unit 252 can superimpose on the map data, display the current position of the measuring device 100 based on GPS or the like, and display the driving evaluation processing result in association with the current position.

When the shooting process is executed, as shown in FIG. 5, in the CPU 311 of the imaging apparatus 300, a shooting trigger signal receiving unit 351, a shooting parameter setting unit 352, an imaging control unit 353, and a storage control unit. 354 functions.
An image storage unit 371 is set in one area of the storage unit 317.
The image storage unit 371 stores captured still images or moving images. In the present embodiment, the image storage unit 371 corresponds to captured still image or moving image data, information indicating the shooting position, and rider's riding posture and driving state evaluation results (driving evaluation processing results). It is memorized.

The shooting trigger signal receiving unit 351 receives a shooting trigger signal from the measurement device 100.
The shooting parameter setting unit 352 sets the imaging unit 316 to the shooting parameter included in the shooting trigger signal. Here, the shooting parameters include shooting scene settings such as shutter speed, aperture, sensitivity, sepia, panorama, or blur (processing for blurring the periphery of the angle of view to give a sense of speed).
The imaging control unit 353 executes imaging by the imaging unit 316 in accordance with the imaging parameters set by the imaging parameter setting unit 352.
The storage control unit 354 associates the data of the captured image captured by the imaging unit 316 with the information indicating the imaging position, the rider's riding posture and the evaluation result of the driving state (the driving evaluation processing result), and the image storage unit 371. To remember.

The driving evaluation system 1 having such a configuration has the following characteristics.
In other words, it is important for the rider who wants to move faster or farther to change the riding posture efficiently. For example, in the case of a front ride, it can be stepped on from the 12 o'clock position of the crank as viewed from the right side of the traveling direction, and the force applied directly below can be increased. At this time, the quadriceps muscle is mainly used. Further, in the case of rear riding, it is possible to depress at a position from 2:30 to 7 o'clock of the crank as viewed from the right in the traveling direction, and a large amount of depression can be obtained. In this case, the biceps femoris is used more than usual. Therefore, by changing the riding posture, it is possible to prevent concentration of muscle fatigue in a specific part during riding, and it is possible to travel to a longer distance or run in a shorter time. Therefore, as described above, if the evaluation result (driving evaluation processing result) of the riding posture and the driving state can be stored, it is possible to recognize the deviation of the riding posture, the inefficient posture change, etc. that were not noticed by itself. . Therefore, the data can be used for the next and subsequent cycling.
In addition, by taking pictures of scenery that the rider sees while riding in association with changes in riding posture and evaluation results of driving conditions (driving evaluation processing results), changes in riding posture and driving conditions at any point It can be easily remembered whether or not the decrease occurred. Furthermore, since it is possible to take a picture of a landscape without performing a shooting operation while traveling on a bicycle, it is possible to prevent a reduction in safety during driving. In addition, it is possible to perform effective shooting with lower power consumption than in the case of continuously shooting the scenery while riding.

[Operation]
FIG. 9 is a flowchart for explaining the flow of the operation state determination process executed by the measuring apparatus 100 of FIG. 2 having the functional configuration of FIG.
The driving state determination process is started by an operation for starting the driving state determination process to the input unit 117 by the user.

In step S <b> 1, the sensor information acquisition unit 151 acquires sensor information from the sensor unit 116.
In step S <b> 2, the driving evaluation processing unit 152 executes driving evaluation processing described later based on the acquired sensor information.

In step S <b> 3, the imaging control unit 153 determines whether the evaluation result (driving evaluation processing result) of the boarding posture and the driving state acquired by the driving evaluation processing unit 152 is in a specific state set in advance. I do.
When the evaluation result (driving evaluation processing result) of the boarding posture and the driving state acquired by the driving evaluation processing unit 152 is a specific state set in advance, YES is determined in step S3, and the process is step. The process proceeds to S4.
On the other hand, when the evaluation result (driving evaluation processing result) of the boarding posture and the driving state acquired by the driving evaluation processing unit 152 is not in the preset specific state, it is determined as NO in step S3, and the processing Proceeds to step S5.

In step S <b> 4, the shooting control unit 153 transmits a shooting trigger signal including shooting parameters corresponding to the evaluation result (driving evaluation processing result) of the riding posture and the driving state to the imaging device 300.
In step S <b> 4, the output control unit 155 transmits the driving evaluation processing result to the information display device 200. Further, the output control unit 155 displays the measured physical quantity data stored in the evaluation information storage unit 171, the rider's riding posture and the evaluation result of the rider's driving state on the display of the output unit 218 of the information display device 200. indicate.
In step S <b> 5, the boarding determination unit 154 determines based on the measurement result of the sensor unit 116 whether or not the bicycle is in a riding state.
If the bicycle is being ridden, YES is determined in step S5, and the process proceeds to step S1.
On the other hand, if the bicycle is not being ridden, NO is determined in step S5, and the process proceeds to step S6.

In step S <b> 6, the boarding determination unit 154 determines whether or not the time-out state is set to a time when the bicycle is not being boarded (the threshold time set for the time when the bicycle is not being boarded is exceeded). I do.
If it is not in the time-out state set at the time when the bicycle is not being ridden, NO is determined in step S6, and the process proceeds to step S1.
On the other hand, when it is in the time-out state set at the time when the bicycle is not being ridden, it is determined as YES in Step S6, and the driving state determination process is ended.

Next, the driving evaluation process will be described.
FIG. 10 is a flowchart illustrating the flow of the driving evaluation process.
In step S21, the driving evaluation processing unit 152 collates the physical quantity measured by the sensor unit 116 with the riding posture determination condition. The riding posture determination condition is defined as a threshold value set for each direction ratio or amplitude of a physical quantity (acceleration here) set for various riding postures.

In step S22, the driving evaluation processing unit 152 specifies the current riding posture from the collation result of the riding posture determination condition. Thus, for example, the riding posture such as normal sitting is specified.
In step S23, the driving evaluation processing unit 152 uses the physical quantity and the riding posture history measured by the sensor unit 116 to collate the current driving state of the rider with the driving evaluation condition. The driving evaluation condition is a condition for performing an evaluation such as a state where the rider's driving state is desirable, a normal state or an undesired state. The stability of the physical quantity measured by the sensor unit 116, the duration of the riding posture, the reference It is defined as the magnitude of the difference from the data to be performed or the maintenance state of the traveling speed.
For example, the physical quantity of an ideal riding posture (for example, road racer's exercise data), which is a reference for driving evaluation, is compared with the measured physical quantity, and the difference between the physical quantities is output as an evaluation result. It can be displayed on the part 218.
Further, as items to be evaluated, the amount of change in the vertical movement of the waist, the amount of change in the left and right sides of the body, cadence, propulsive force (distance traveled at a predetermined pedal rotation speed), and the like can be considered. When the driving evaluation result is displayed in step S4, these items may be represented by a radar chart and output to the output unit 218.

In step S <b> 24, the driving evaluation processing unit 152 associates the evaluation result (driving evaluation processing result) of the riding posture and the driving state with the physical quantity (sensor information) measured by the sensor unit 116 and stores it in the evaluation information storage unit 171. To do.
After step S24, the process returns to the driving state determination process.

Next, the photographing process will be described.
FIG. 11 is a flowchart for explaining the flow of imaging processing executed by the imaging apparatus 300 of FIG. 4 having the functional configuration of FIG.
The imaging process is started in response to the operation state determination process being executed in the measurement device 100.
In step S <b> 101, the shooting trigger signal receiving unit 351 receives a shooting trigger signal from the measurement apparatus 100.
In step S102, the imaging parameter setting unit 352 sets the imaging unit 316 to the imaging parameters included in the imaging trigger signal.
In step S <b> 103, the imaging control unit 353 executes imaging by the imaging unit 316 in accordance with the imaging parameters set by the imaging parameter setting unit 352.
In step S <b> 104, the imaging control unit 353 stores captured image data in the image storage unit 371. At this time, when it is set to transmit the captured image data to another apparatus such as the information display apparatus 200, the imaging control unit 353 transmits the captured image data to the other apparatus.

[Modification 1]
The change in acceleration when riding a bicycle also occurs depending on the condition of the road surface. For example, when traveling on a road with large irregularities, a change occurs in the direction of gravitational acceleration, but the road surface condition can be estimated by performing a Fourier transform on the acceleration data and expressing it as a frequency component. Then, by filtering the measurement result of the sensor unit 116 using the low-pass filter selected according to the road surface condition, the posture change can be captured more accurately.

[Modification 2]
When determining the boarding posture or whether or not the vehicle is in the boarding state, it is possible to more accurately determine the boarding posture or the like by determining the GPS positioning result and the measurement result of the sensor unit 116 together.
For example, in the case of sitting, although the degree of acceleration change with respect to each axis is relatively small, when a movement amount change of a certain amount or more is observed by GPS, it can be more clearly determined that the movement is by a bicycle.

[Modification 3]
When standing from the sitting state, a large acceleration change occurs for each axis. In addition, by integrating this acceleration twice, it can be detected as a moving distance related to the posture change. As a result of the experiment, the amount of change in the vertical direction when shifting from sitting to standing is approximately 15 to 40 cm, and can be sufficiently measured by the sensor unit 116. Similarly, the amount of change in the direction of travel is approximately 20 to 45 cm, and the amount of change in the left and right direction relative to the direction of travel is approximately 5 to 25 cm in each direction.
That is, as shown in the above-described embodiment, in addition to using the ratio of the acceleration in the vertical direction, the front-rear direction, and the left-right direction and the absolute value of the amplitude, the posture change from sitting to standing is obtained by using the data of these changes. Can also be determined.

[Modification 4]
In standing, the moving amount per unit time can be calculated from the moving distance obtained by GPS and the maintenance time of standing. At this time, the aggressive dancing has a feature that the amount of movement per unit time is clearly large, while the duration is short, as compared with the resting dancing. In the case of standing, there is a characteristic that the vertical movement and the horizontal movement are periodic, and the aggressive dancing has a shorter period than the resting dancing.
Therefore, standing and dancing can be more accurately determined based on the movement amount per unit time and the length of the waveform pattern period.

[Modification 5]
As a result of experiments, it is clear that the forward tilt angle with respect to the gravitational direction in sitting is normally in the range of 95 to 135 degrees, but when upright, it is outside the previous angle range and changes to approximately 140 to 180 degrees. It became.
Therefore, the determination of upright and normal in sitting can be made more accurately by the forward tilt angle of the measuring device 100 with respect to the direction of gravity.

[Modification 6]
In the sitting, the movement amount in the traveling direction may change continuously after moving upward. The change in the amount of movement at this time was smaller than the change to the standing, about 5 cm in the upward direction and about 10 cm in the front-rear direction. This can be estimated to represent the difference between the front and rear riding in sitting. .
That is, it is possible to more accurately determine the front ride and the rear ride by monitoring the movement amount change in the traveling direction in the sitting.

[Modification 7]
In the above-mentioned embodiment, it is good also as giving advice of how to saw to a rider during boarding.
That is, it is possible to give advice on how to ride a bicycle suitable for the rider's purpose, such as obtaining speed or finding an efficient way to ride while traveling on a course. Specifically, the driving evaluation processing unit 152 sets the rider's riding posture determination conditions and driving evaluation conditions to suit the purpose, and notifies the rider of the determination results for these conditions by voice or display. .
In addition to advice on how to saw, advice on bicycle settings (saddle, steering wheel position, etc.) may be given according to the tendency of the riding posture to be disturbed. For example, advice such as “it is better to lower the height of the saddle because the waist is shaking too much from side to side” can be given.

[Modification 8]
In the above-described embodiment, it may be determined whether or not the rider is performing ideal cornering based on the map data, the current position data, and the measurement result of the sensor unit 116.
Specifically, based on the turning radius obtained from the map data, the ideal approach speed and course taking to the corner are calculated, and the ideal cornering state is determined from the state of wobbling and acceleration / deceleration during cornering. Can be determined.

[Modification 9]
In the above-described embodiment, the evaluation result (driving evaluation processing result) of the riding posture and the driving state may be sequentially notified from the measuring device 100 to the rider during traveling. For example, it is possible to notify the rider in real time by voice or a vibration signal or the like at a timing such as turning a corner or whenever the riding posture changes.

[Modification 10]
In the above-described embodiment, the absolute value of the physical quantity detected by the sensor unit 116 when the imaging control unit 153 determines whether the evaluation result (driving evaluation processing result) of the riding posture or the driving state is a specific state. Determination based on a value, determination based on whether a combination of physical quantities detected by the sensor unit 116 is in a predetermined state, whether the physical quantity detected by the sensor unit 116 matches a reference value It is possible to make a determination based on the above, and it is also possible to combine these determination methods.
That is, the imaging control unit 153 can transmit an imaging trigger signal on the assumption that the state has changed when the absolute value of the physical quantity is equal to or greater than a threshold (or less than or equal to the threshold).
As a result, it is possible to detect a change in the riding posture that appears as a single physical quantity and to perform shooting.
In addition, when the combination of the absolute values of the physical quantities is in a predetermined state (such as a state where acceleration is small and hip rotation is large), the imaging control unit 153 causes the riding posture to be in a predetermined state (the riding posture is disturbed due to fatigue). It is possible to transmit a shooting trigger signal as a state of being in the state of Similarly, it is possible to transmit a shooting trigger signal when it becomes a holiday dancing (when it is estimated that the user's head is facing forward).
As a result, it is possible to detect a change in the riding posture that appears as a combination of a plurality of physical quantities, and to perform shooting.
Further, the shooting control unit 153 prepares physical quantity data (professional rider data, data of a plurality of users, past own data, etc.) as a reference for the course, and the measured physical quantity and the reference physical data. An imaging trigger signal can be transmitted when a predetermined amount of deviation occurs from the data.
As a result, photographing can be performed when a deviation from the reference data occurs due to fatigue or the like and the riding posture is disturbed.

[Modification 11]
In the above-described embodiment, the imaging control unit 153 can set various imaging parameters to be included in the imaging trigger signal corresponding to the riding posture.
For example, shooting parameters such as shooting interval and angle of view can be set in addition to shooting scene settings such as shutter speed, aperture, sensitivity, sepia, panorama, and blur according to the riding posture.
Thereby, it is possible to perform shooting with more appropriate shooting parameters according to the running state estimated from the riding posture.
In addition, the shooting control unit 153 can select and shoot either a moving image or a still image according to the riding posture.
Thereby, according to the driving | running state estimated from a boarding attitude | position, a moving image or a still image can be selected appropriately, and it can image | photograph.
Furthermore, the imaging control unit 153 can switch various effects to be applied to the captured image according to the riding posture.
For example, a still image shot during aggressive dancing can be shot at a high shutter speed in order to reduce blurring, while being blurred to give a sense of speed. In addition, since the moving image taken at the time of upright sitting has a posture in which the landscape is easily reflected, panoramic photography can be performed.

[Second Embodiment]
Next, a second embodiment of the present invention will be described.
In the driving evaluation system 1 according to the present embodiment, the measuring device 100 includes a gyro sensor in the sensor unit 116.
In the driving state determination process, the riding posture determination condition and the driving evaluation condition are determined using the angular velocity of the rider's body measured by the measurement device 100.
By using the gyro sensor, the presence / absence of hip rotation associated with the stepping on the pedal is clearly determined. Cadence (pedal rotation speed) can be measured by calculating the period of hip rotation. Cadence often changes when the rider's position changes (for example, the load changes due to uphill or downhill, or the running speed is reduced to enjoy the scenery) By capturing this change and performing imaging, it is possible to perform effective imaging. Specifically, threshold determination is performed for cadence, and the shutter is released when the threshold is passed. Cadence can be measured without attaching special equipment to the bicycle, and cadence can be easily measured and photographed using this even when a bicycle is used on the road.
Further, in the first embodiment, the movement by bicycle is determined by detecting the movement by the acceleration sensor and the GPS. However, in an exercise bike used for practice in a tunnel or indoors, the GPS Was not available.
On the other hand, the measuring apparatus 100 according to the present embodiment can detect the posture change more accurately by using the measurement result of the gyro sensor.
Specifically, the rotational left-right difference between the right leg and the left leg can be determined by setting the sampling rate of the gyro sensor to about 200 Hz and accurately measuring the time required for one rotation left and right.
Also, in the case of front riding in sitting, paying attention to one leg, the time from the initial rotation part until the half rotation is completed (stepping from the top of the pedal to the bottom) is longer than the latter half of the rotation. Also gets longer. On the other hand, in the case of rear riding of sitting, the time required for half rotation is longer in the latter half of the rotation than in the case of front riding.
Therefore, paying attention to the rotation of one leg and comparing the time required for half rotation between the first half and the second half, it is possible to more accurately determine whether it is a front ride or a rear ride of sitting.
[Third Embodiment]
Next, a third embodiment of the present invention will be described.
In the driving evaluation system 1 according to the present embodiment, the measuring device 100 includes a barometric sensor in the sensor unit 116.
In the driving state determination process, the riding posture determination condition and the driving evaluation condition are determined using the atmospheric pressure data measured by the measuring device 100. Specifically, a change in altitude of the measuring device 100 is measured from the atmospheric pressure data, and the riding posture determination condition and the driving evaluation condition are determined using the change in altitude.
By measuring the altitude change by the atmospheric pressure sensor, it is possible to easily determine whether the travel path is uphill or downhill. Therefore, since it is possible to determine whether only the rider's body is moving up and down or whether the travel path itself is undulating, the rider's riding posture can be more accurately determined.
Further, when the posture is changed from normal to upright in sitting, if the posture change speed is low, it may be difficult to clearly show the measurement result of the acceleration sensor. On the other hand, when a barometric sensor is used, even if the rate of change in posture from normal to upright is small, a clear rise in the measurement results can be seen, making it easier to determine the upright posture. Can do.
[Fourth Embodiment]
Next, a fourth embodiment of the present invention will be described.
In the first to third embodiments, the posture change is detected based on the determination of the threshold value with respect to the acceleration measurement result of each axis.
On the other hand, in the driving evaluation system 1 according to the present embodiment, posture change is detected by machine learning.
Specifically, machine learning is performed in which physical quantities of sitting and standing are measured for a plurality of subjects having different genders, physiques, ages, and bicycle riding histories, and feature points are extracted using them as teacher data. In machine learning, it is possible to perform posture determination on a new subject using feature points obtained in the population of subjects. In addition, when the posture change of a new subject was determined using the result of machine learning, a correct determination was obtained with an accuracy of 98% with respect to all posture changes. That is, it is possible to determine the riding posture more accurately by using the physical quantity measurement results of a plurality of subjects as teacher data and determining a new posture change of the subject by machine learning.

The driving evaluation system 1 configured as described above includes the measuring device 100, and the measuring device 100 includes a sensor unit 116 and a driving evaluation processing unit 152.
The sensor unit 116 acquires the physical quantity (acceleration, angular velocity, atmospheric pressure, etc.) of the user when riding a bicycle.
Based on the physical quantity acquired by the sensor unit 116, the driving evaluation processing unit 152 evaluates the riding posture of the user when the user is riding a bicycle.
Thus, the riding posture is evaluated based on the physical quantity related to the user.
Therefore, it is possible to objectively and accurately evaluate the user's riding posture during traveling.
Therefore, the driving skill of the bicycle can be more appropriately evaluated.

Further, the driving evaluation processing unit 152 is based on the comparison between the physical quantity of the user in the predetermined type of riding posture acquired by the sensor unit 116 and the physical quantity of the predetermined type of riding posture as the evaluation reference. Evaluate the riding posture.
Thereby, a user's boarding attitude | position can be evaluated appropriately for every kind of boarding attitude | position.

In addition, the sensor unit 116 acquires accelerations in the vertical direction of the user, the front-rear direction and the left-right direction of the traveling direction as physical quantities.
The driving evaluation processing unit 152 determines the type of riding posture of the user based on changes in acceleration in the vertical direction, the front-rear direction and the left-right direction of the traveling direction.
Accordingly, it is possible to easily evaluate the driving state by measuring the acceleration generated in the user.

Further, the driving evaluation processing unit 152 determines the type of the user's riding posture based on at least one of the acceleration ratio in the vertical direction, the front-rear direction and the left-right direction of the traveling direction, and the absolute value of the acceleration.
Thereby, a user's boarding attitude | position can be determined correctly using the acceleration of each direction which has arisen in the user.

In addition, the sensor unit 116 includes a position sensor that acquires position information of the measurement apparatus 100.
The driving evaluation processing unit 152 determines the type of riding posture of the user based on the acceleration and position information.
Thereby, a user's driving | running state can be grasped | ascertained correctly and a boarding attitude | position can be determined more appropriately.

  In addition, this invention is not limited to the above-mentioned embodiment, The deformation | transformation in the range which can achieve the objective of this invention, improvement, etc. are included in this invention.

  In the above-described embodiment, the measurement device 100 is described as being attached to the driver's waist, but this is not a limitation. For example, the measuring apparatus 100 may be attached to the driver's arm, neck, chest, or the like as long as the physical quantity generated in the driver can be measured.

  In the above-described embodiment, the measuring apparatus 100 to which the present invention is applied can be configured by general electronic equipment having an information processing function. For example, the measuring device 100 can be configured by a portable navigation device, a mobile phone, a smartphone, a portable game machine, or the like.

In the above-described embodiment, the information display device 200 to which the present invention is applied has been described using a smartphone as an example, but is not particularly limited thereto.
For example, the information display device 200 can be applied to general electronic devices having an information display function. Specifically, for example, the information display device 200 can be configured by a notebook personal computer, a television receiver, a video camera, a portable navigation device, a mobile phone, a portable game machine, or the like.

Further, in the above-described embodiment, the imaging apparatus 300 to which the present invention is applied has been described using a digital camera as an example, but is not particularly limited thereto.
For example, the imaging apparatus 300 can be applied to general electronic devices having an imaging function. For example, the imaging device 300 can be configured by a notebook personal computer, a video camera, a portable navigation device, a mobile phone, a smartphone, a portable game machine, or the like.

The series of processes described above can be executed by hardware or can be executed by software.
In other words, the functional configuration of FIG. 5 is merely an example, and is not particularly limited. That is, it is sufficient that the operation evaluation system 1 has a function capable of executing the above-described series of processes as a whole, and what kind of functional block is used to realize this function is not particularly limited to the example of FIG. .
In addition, one functional block may be constituted by hardware alone, software alone, or a combination thereof.

That is, as for the functional configuration of the driving evaluation system 1, as long as the functions shown in FIG. 5 are realized as a whole, which device has each function is not limited to the example in FIG. However, it is possible to provide some or all of the functions of the driving evaluation processing unit 152, the imaging control unit 153, the boarding determination unit 154, the output control unit 155, and the like.
That is, in the above-described embodiment, the measurement device 100 includes the sensor unit 116 and the driving evaluation processing unit 152, and the driving evaluation processing unit 152 is based on the physical quantity measured by the sensor unit 116, However, the present invention is not limited to this. For example, the measurement device 100 may include only the sensor unit 116 and may transmit information on the physical quantity measured by the sensor unit 116 to the information display device 200. And the information display apparatus 200 is good also as acquiring the information of the transmitted physical quantity, and performing evaluation regarding a driver | operator's state based on the acquired physical quantity information. As described above, the physical quantity of the rider is directly measured and acquired by the apparatus including the driving evaluation processing unit 152, or the apparatus including the driving evaluation processing unit 152 is acquired through communication or the like as measured by another apparatus. You can do it.

When a series of processing is executed by software, a program constituting the software is installed on a computer or the like from a network or a recording medium.
The computer may be a computer incorporated in dedicated hardware. The computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose personal computer.

  The recording medium including such a program is not only constituted by the removable medium 231 of FIG. 3 distributed separately from the apparatus main body in order to provide the program to the user, but also in a state of being incorporated in the apparatus main body in advance. It is comprised with the recording medium etc. which are provided in this. The removable medium 231 is configured by, for example, a magnetic disk (including a floppy disk), an optical disk, a magneto-optical disk, or the like. The optical disc is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versatile Disc), a Blu-ray (registered trademark) Disc (Blu-ray Disc), and the like. The magneto-optical disk is configured by an MD (Mini-Disk) or the like. In addition, the recording medium provided to the user in a state of being preinstalled in the apparatus main body includes, for example, the semiconductor memory included in the ROM 112 in FIG. 2, the ROM 212 in FIG. 3, and the storage unit 119 in FIG. It is configured by a hard disk or the like included in the storage unit 219 of FIG.

In the present specification, the step of describing the program recorded on the recording medium is not limited to the processing performed in chronological order according to the order, but is not necessarily performed in chronological order, either in parallel or individually. The process to be executed is also included.
Further, in the present specification, the term “system” means an overall apparatus configured by a plurality of devices, a plurality of means, and the like.

  As mentioned above, although several embodiment of this invention was described, these embodiment is only an illustration and does not limit the technical scope of this invention. The present invention can take other various embodiments, and various modifications such as omission and replacement can be made without departing from the gist of the present invention. These embodiments and modifications thereof are included in the scope and gist of the invention described in this specification and the like, and are included in the invention described in the claims and the equivalent scope thereof.

The invention described in the scope of claims at the beginning of the filing of the present application will be appended.
[Appendix 1]
Acquisition means for acquiring a physical quantity of the user when riding a bicycle;
Evaluation processing means for evaluating the user's riding posture when the user is riding a bicycle based on the physical quantity acquired by the acquiring means;
A riding posture evaluation device comprising:
[Appendix 2]
The evaluation processing means is based on a comparison between the physical quantity of the user at the predetermined type of boarding posture acquired by the acquiring means and the physical quantity of the predetermined type of boarding posture as an evaluation reference. The boarding posture evaluation apparatus according to appendix 1, wherein the boarding posture is evaluated.
[Appendix 3]
The acquisition means acquires the acceleration in the vertical direction of the user, the front-rear direction and the left-right direction of the traveling direction as the physical quantity,
The appendix 1 or 2 is characterized in that the evaluation processing means determines the type of riding posture of the user based on changes in acceleration in the vertical direction, the front-rear direction of the traveling direction, and the left-right direction. Riding posture evaluation device.
[Appendix 4]
The evaluation processing means determines the type of riding posture of the user based on at least one of an acceleration ratio and an absolute value of acceleration in the vertical direction, the front-rear direction and the left-right direction of the traveling direction. The riding posture evaluation apparatus according to supplementary note 3, characterized by:
[Appendix 5]
Position information acquisition means for acquiring position information of the riding posture evaluation device,
The riding posture evaluation apparatus according to appendix 3 or 4, wherein the evaluation processing means determines the type of the riding posture of the user based on the acceleration and the position information.
[Appendix 6]
An acquisition step of acquiring a physical quantity of the user when riding the bicycle;
Based on the physical quantity acquired in the acquisition step, an evaluation processing step for evaluating a user's riding posture when the user is riding a bicycle;
A riding posture evaluation method comprising:
[Appendix 7]
A computer that controls a riding posture evaluation device that evaluates the riding posture of a user when riding a bicycle,
An acquisition function that acquires the physical quantity of the user when riding a bicycle,
Based on the physical quantity acquired by the acquisition function, an evaluation processing function for evaluating the user's riding posture when the user is riding a bicycle;
A program characterized by realizing.

  DESCRIPTION OF SYMBOLS 1 ... Driving evaluation system, 100 ... Measuring device, 200 ... Information display device, 300 ... Imaging device, 111, 211, 311 ... CPU, 112, 212, 312 ... ROM, 113, 213, 313 ... RAM, 114, 214, 314 ... bus, 115, 215, 315 ... input / output interface, 116 ... sensor unit, 216 ... imaging unit, 117, 217 ..Input unit 118, 218... Output unit 119, 219, 317 ... storage unit, 120, 220, 318 ... communication unit, 221 ... drive, 231 ... removable media, 151 ... Sensor information acquisition unit, 152 ... Driving evaluation processing unit, 153 ... Shooting control unit, 154 ... Boarding determination unit, 155 ... Output control unit, 171 ... Evaluation information Memory unit, 251 ... Display information receiving unit, 252 ... Display control unit, 351 ... Imaging trigger signal receiving unit, 352 ... Imaging parameter setting unit, 353 ... Imaging control unit, 354, ... .Storage control unit, 371... Image storage unit

Claims (7)

Acquisition means for acquiring a physical quantity of the user when riding a bicycle;
Evaluation processing means for evaluating the user's riding posture when the user is riding a bicycle based on the physical quantity acquired by the acquiring means;
A riding posture evaluation device comprising:   The evaluation processing means is based on a comparison between the physical quantity of the user at the predetermined type of boarding posture acquired by the acquiring means and the physical quantity of the predetermined type of boarding posture as an evaluation reference. The riding posture evaluation apparatus according to claim 1, wherein the riding posture is evaluated. The acquisition means acquires the acceleration in the vertical direction of the user, the front-rear direction and the left-right direction of the traveling direction as the physical quantity,
The said evaluation process means determines the kind of said user's boarding attitude | position based on the change of the acceleration of the said vertical direction, the front-back direction of the said advancing direction, and the said left-right direction, respectively. The described riding posture evaluation apparatus.   The evaluation processing means determines the type of riding posture of the user based on at least one of an acceleration ratio and an absolute value of acceleration in the vertical direction, the front-rear direction and the left-right direction of the traveling direction. The riding posture evaluation apparatus according to claim 3. Position information acquisition means for acquiring position information of the riding posture evaluation device,
5. The riding posture evaluation apparatus according to claim 3, wherein the evaluation processing unit determines a type of a riding posture of the user based on the acceleration and the position information. An acquisition step of acquiring a physical quantity of the user when riding the bicycle;
Based on the physical quantity acquired in the acquisition step, an evaluation processing step for evaluating a user's riding posture when the user is riding a bicycle;
A riding posture evaluation method comprising: A computer that controls a riding posture evaluation device that evaluates the riding posture of a user when riding a bicycle,
An acquisition function that acquires the physical quantity of the user when riding a bicycle,
Based on the physical quantity acquired by the acquisition function, an evaluation processing function for evaluating the user's riding posture when the user is riding a bicycle;
A program characterized by realizing.

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