CN113041558A - System and method for sensing and feeding back riding action of flywheel vehicle - Google Patents
System and method for sensing and feeding back riding action of flywheel vehicle Download PDFInfo
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- CN113041558A CN113041558A CN201911411557.3A CN201911411557A CN113041558A CN 113041558 A CN113041558 A CN 113041558A CN 201911411557 A CN201911411557 A CN 201911411557A CN 113041558 A CN113041558 A CN 113041558A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/06—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0068—Comparison to target or threshold, previous performance or not real time comparison to other individuals
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- Physical Education & Sports Medicine (AREA)
- Cardiology (AREA)
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- Emergency Alarm Devices (AREA)
- Motorcycle And Bicycle Frame (AREA)
Abstract
The invention discloses a flywheel vehicle riding action sensing and feedback system and a method thereof, wherein the flywheel vehicle riding action sensing and feedback system comprises at least one image sensor, a storage device, a processor and an alarm. The image sensor is arranged behind the user and the flywheel vehicle ridden by the user and used for detecting a plurality of lower limb joint points of the user; the storage device is used for storing a plurality of historical records of a user. The processor calculates the rotating speed of the wheels of the flywheel vehicle according to the detection records of the lower limb joint points, and then calculates the power consumption of the user according to the rotating speed of the wheels of the flywheel vehicle, the rotating resistance of the wheels of the flywheel vehicle and the riding time of the user, wherein the processor also comprises an analysis model used for obtaining a plurality of power threshold values according to the historical record analysis of the user, and the processor compares the power consumption of the user with the power threshold values. The alarm is configured to issue an alert when the power consumption of the user approaches one of the power thresholds.
Description
Technical Field
The invention relates to a flywheel vehicle riding action sensing and feedback system and a method thereof.
Background
In the exercise of flywheel bike (spinning bike), the resistance of the user is adjusted too much to challenge the self-limit, and the resistance exceeds the strength of the muscle in the user for too long exercise time, so that the user must use the muscle of other parts to compensate, and exercise in bad posture, thereby causing the injury of exercise.
The motion feedback device in the prior art can only give a warning when a user has a bad posture, and only provides a single detection threshold, when the detection threshold is too low, the training situation is easily influenced due to frequently sent warnings, and when the detection threshold is too high, the chance of sport injury is increased, so that the user is difficult to perform self-training without assistance of special personnel.
Disclosure of Invention
The invention provides a flywheel vehicle riding action sensing and feedback system and a method thereof, which achieve the effects of predicting in advance and giving out warning by analyzing a plurality of historical records of a user.
According to an embodiment of the present disclosure, a system for sensing and feedback of a flywheel vehicle ride is provided, comprising: the at least one image sensor is arranged behind a user and the flywheel vehicle ridden by the user and used for detecting a plurality of lower limb joint points of the user; a storage device for storing a plurality of history records of the user; a processor, calculating the rotating speed of the wheel of the flywheel vehicle according to the detection records of the lower limb joint points, and calculating the power consumption of the user according to the rotating speed of the wheel of the flywheel vehicle, the rotating resistance of the wheel of the flywheel vehicle and the riding time of the user, wherein the processor also comprises an analysis model, the analysis model analyzes and obtains a plurality of power thresholds according to the history records of the user, and the processor compares the power consumption with the power thresholds; an alarm is issued when the power consumption approaches one of the power thresholds.
According to an embodiment of the present disclosure, a method for sensing and feeding back a riding action of a flywheel vehicle is provided, comprising: detecting a plurality of lower limb joint points of a user riding on the flywheel vehicle; calculating the rotating speed of the wheels of the flywheel vehicle according to the detection records of the lower limb joint points; calculating power consumption of the user according to the rotating speed of the wheel of the flywheel vehicle, the rotating resistance of the wheel of the flywheel vehicle and the riding time of the user; analyzing to obtain a plurality of power thresholds according to a plurality of historical records of the user by utilizing an analysis model; comparing the power consumption with the power thresholds, and when the power consumption is close to one of the power thresholds, an alarm is sent out.
Drawings
FIG. 1 is a schematic diagram of a flywheel vehicle ride sensing and feedback system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an application of a flywheel vehicle ride sensing and feedback system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a lower limb joint detected according to an embodiment of the present invention;
FIG. 4 is a flow chart of a system for sensing and feedback of a freewheel ride operation according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating one of the user histories in accordance with an embodiment of the invention;
FIG. 6 is a schematic diagram of the user history record of FIG. 5 after a comparison and amplification process;
fig. 7 is a schematic diagram of the user history record in fig. 6 after a noise filtering process is performed.
Description of the symbols
1: flywheel vehicle riding action sensing and feedback system
2: input device
10: image sensor
20: storage device
30: processor with a memory having a plurality of memory cells
40: warning indicator
S: flywheel vehicle
U: user's hand
R: rear region
L: lower limb joint point
H: hip joint point
K: knee joint point
A: ankle joint point
100. 200, 300, 400, 500: step (ii) of
T1, T2, T3: skew threshold (skew threshold)
P1, P2, P3, P4, P5: power threshold
Detailed Description
The following is a detailed description of embodiments of the invention with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts. It should be noted that the drawings have been simplified to clearly illustrate the embodiments, and the dimensional proportions on the drawings are not drawn to scale and therefore are not intended to limit the scope of the present invention.
Fig. 1 is a schematic diagram of a flywheel vehicle ride sensing and feedback system 1 according to an embodiment of the present invention. The sensing and feedback system 1 includes an image sensor 10, a storage device 20, a processor 30, and an alarm 40. When the user rides the flywheel vehicle to move, the image sensor 10 detects a plurality of lower limb joint points L of the user, and transmits the detection result to the processor 30 for calculation processing, so as to obtain the rotating speed of the wheels of the flywheel vehicle when the user rides the flywheel vehicle to move. The processor 30 receives the rotation resistance of the flywheel from the external input device 2, and calculates the power consumption of the user according to the rotation speed and the rotation resistance of the flywheel and the exercise time of the user. The processor 30 further performs an operation analysis according to the user history stored in the storage device 20 to obtain a plurality of power thresholds. The processor 30 compares the power consumption of the user with the power thresholds, and sends an alarm through the alarm 40 when the power consumption of the user is close to one of the power thresholds. The power consumption (K) can be calculated, for example, according to the formula
Calculating, wherein I is moment of inertia, w is rotation speed (rpm), and the moment of inertia can be calculated according to the equation I k × M × R2Calculated, wherein M is the wheel of the flywheel vehicleThe mass of (a) is the radius of the wheel of the flywheel vehicle, k is an inertia constant, and the mass of (b) has different differences according to the tire appearance of the flywheel vehicle and the setting of the rotational resistance.
The image sensor 10 detects a plurality of lower limb joint points L of the user at each time interval, which can be adjusted by the user, for example, 1 second. Each history of the user includes a plurality of records in which the consumed power corresponds to the skew angle, which is the deviation angle of the detected lower limb joint point Y when the user rides the flywheel car compared with the lower limb joint point position in the normal motion state, and the lower limb joint point position in the normal motion state can be set by the user, or the image sensor 10 automatically detects the lower limb joint point position when the user rides the flywheel car and is in a static state, so as to set the position. Each skew angle recorded in the user history record can be used to determine the skew degree of the user when riding the flywheel device according to at least one skew threshold, for example, light skew when the skew angle is 15 degrees, moderate skew when the skew angle is 30 degrees, and heavy skew when the skew angle is 45 degrees. The setting of the skew threshold value can be individually adjusted according to the requirement of the user, so the present invention is not limited to the disclosure of the embodiment.
As described in the previous paragraph, each history of the user includes a plurality of records in which the consumed power corresponds to the skew angle, and the processor 30 compares one of the user histories with a plurality of skew threshold values, so as to obtain the power consumption of the user when the user has slight skew, moderate skew, and severe skew in the history, and mark the power consumption. The processor 30 includes an analysis model for analyzing each history of the user to obtain a plurality of power thresholds, which respectively represent how much power the user is likely to intensively generate light skew, medium skew, and heavy skew after reaching the power consumption. The analysis model is based on a Convolutional Neural Network (CNN) model, for example.
In this embodiment, the processor 30 may further include a contrast amplifying module and a noise filtering module for performing a pre-processing procedure on the history of the user. The storage device 20 may further include at least one preset power threshold, and when the history of the user is blank when the user uses the sensing and feedback system 1 for the first time, the processor 30 may send an alarm through the alarm 40 according to the comparison result between the preset power threshold and the power consumption when the power consumption approaches the preset power threshold.
In the embodiment, the input device 2 is disposed on the flywheel vehicle, and the input device 2 directly provides the set rotation resistance of the wheel of the flywheel vehicle to the processor 30 of the sensing and feedback system 1 in a wireless transmission manner, so as to reduce the calculation error. In other embodiments, the input device 2 may be, for example, a keyboard, a PDA, a mobile phone, or any sensing device, and is connected to the sensing and feedback system 1 of the present invention in a wireless or wired manner, so as to transmit the rotation resistance of the wheel of the flywheel vehicle in a sensing or direct input manner for the sensing and feedback system 1 of the present invention to perform the operation and analysis on the riding motion of the flywheel vehicle.
In the embodiment, the storage device 20, the processor 30, and the alarm 40 in the sensing and feedback system 1 are integrated into a single physical device, such as a mobile phone, and the image sensor 10 is connected to the storage device 20, the processor 30, and the alarm 40 by wireless transmission. In other embodiments, the image sensor 10, the storage device 20, the processor 30, and the alarm 40 may be all integrated into a single physical device, or may be separately disposed at different physical locations and connected by wireless or wired connection, and the disclosure of the present invention is not limited thereto.
In the embodiment, the alarm 40 is a speaker in a mobile phone, but in other embodiments, the alarm 40 may be a bell, a light-emitting device, a vibration device, or any device capable of sending a signal to a user to achieve an alarm effect, and the disclosure of the present invention is not limited thereto.
Fig. 2 is a schematic application diagram of the flywheel car ride sensing and feedback system 1 according to an embodiment of the present invention. When the user U rides on the flywheel S to move, the image sensor 10 of the sensing and feedback system 1 is disposed in the rear region R of the flywheel S to detect a plurality of lower limb joint points L of the user. The rear area R of the flywheel device S is not limited to the right rear of the flywheel device S, and any lower limb joint points L which are located at the rear of the side of the flywheel device S and facilitate detection of a user U riding on the flywheel device S can be classified as the rear area R of the flywheel device S. In the present embodiment, the number of the image sensors 10 is 1, and the image sensors are disposed right behind the flywheel device S on which the user U rides. In other embodiments, the number of the image sensors 10 may be multiple, and the image sensors are disposed at any position of the rear region R to facilitate detection from different angles, so the disclosure of the present invention is not limited to this embodiment.
Fig. 3 is a schematic diagram illustrating a detected lower limb joint point L according to an embodiment of the invention. In the present embodiment, the lower limb joint points L include at least a hip joint point H, and may further include a knee joint point K and an ankle joint point a. In other embodiments, the lower limb joint point L may further include a toe point (not shown), so the disclosure of this embodiment is not limited thereto. The image sensor 10 of the sensing and feedback system 1 of the present invention detects the motion trajectory of the lower limb joint point L and transmits the motion trajectory to the processor 30, and the processor 30 can calculate the rotation speed of the wheel of the flywheel device S according to the detection record, and can also determine whether the user U has a situation of motion skew when riding the flywheel device S.
Fig. 4 is a flow chart of a method for sensing and feeding back a freewheel ride according to an embodiment of the present invention. First, in step 100, a plurality of lower limb joint points Y of a user riding on the flywheel vehicle are detected. Next, in step 200, the rotational speed of the wheel of the flywheel vehicle is calculated based on the detection record of the lower limb joint point Y. Then, in step 300, the power consumption of the user is calculated according to the rotation speed of the wheel of the flywheel vehicle and the resistance of the wheel of the flywheel vehicle. Further in step 400, a plurality of power thresholds are analyzed using an analysis model based on a plurality of user history. Finally, in step 500, the power consumption of the user is compared to a plurality of power thresholds, and an alert is issued when the power consumption of the user approaches one of the power thresholds.
Wherein, the detection of the plurality of lower limb joint points L of the user is performed at each time interval, which can be adjusted by the user, for example, 1 second. Each history record of the user includes a plurality of records of consumed power corresponding to a skew angle, the skew angle is an offset angle of a detected lower limb joint point Y compared with a lower limb joint point in a normal motion state when the user rides the flywheel vehicle, and the position of the lower limb joint point in the normal motion state can be set by the user or can be set according to the position of the lower limb joint point detected when the user rides the flywheel vehicle and is in a static state. Each skew angle recorded in the user history record can be used to determine the skew degree of the user when riding the flywheel device according to at least one skew threshold, for example, light skew when the skew angle is 15 degrees, moderate skew when the skew angle is 30 degrees, and heavy skew when the skew angle is 45 degrees. The setting of the skew threshold value can be individually adjusted according to the requirement of the user, so the present invention is not limited to the disclosure of the embodiment.
As described in the previous paragraph, each history record of the user includes a plurality of records in which the power consumption corresponds to the skew angle, and after comparing one of the history records of the user with a plurality of skew threshold values, the power consumption of the user when the user has slight skew, moderate skew, and severe skew in the history record can be obtained and marked. Further, as shown in step 400, each history of the user is analyzed according to an analysis model to obtain a plurality of power thresholds, which respectively represent how much power consumption the user is prone to have a slight skew, a moderate skew, and a severe skew. The analysis model is based on a Convolutional Neural Network (CNN) model, for example.
In this embodiment, before step 400, a pre-processing procedure may be performed on the history of the user, where the pre-processing procedure includes a contrast amplifying procedure and a noise filtering procedure. In step 500, when the user uses the sensing and feedback system 1 of the present invention for the first time and the history of the user is blank, an alarm may be issued when the power consumption approaches the predetermined power threshold according to a comparison result between the predetermined power threshold and the power consumption.
Fig. 5 to 7 are schematic diagrams illustrating a preprocessing procedure performed on a user history record according to an embodiment of the invention. Fig. 5 is a schematic diagram illustrating one of the user histories according to an embodiment of the invention. In fig. 5, the power consumption increases from left to right in the horizontal axis, and the skew angle increases from bottom to top in the vertical axis, where the skew angle T1 is set to a slight skew angle, the skew angle T2 is set to a moderate skew angle, and the skew angle T3 is set to a severe skew angle.
FIG. 6 is a schematic diagram illustrating the user history record in FIG. 5 after performing a contrast and magnification process. After a comparative magnification procedure, the original recordings above the skew angle T3 in fig. 5 can be recognized more prominently. FIG. 7 is a schematic diagram illustrating the user history record of FIG. 6 after performing a noise filtering process. After the noise filtering process, records with skew angles not greater than T3 are filtered out. After the user history is processed, only a plurality of power consumptions P1-P5 corresponding to the skew angle are included. In the embodiment, the preprocessing process is to perform contrast amplification and noise filtering based on the skew angle T3, and in other embodiments, the preprocessing process may also be to perform filtering based on other skew angles, or only select one of the noise filtering process and the contrast amplification process, so the sensing and feedback method of the present invention is not limited by the disclosure of the embodiment.
In summary, the present invention provides a method for sensing and feeding back the riding motion of a flywheel vehicle, which can effectively obtain a plurality of power thresholds according with the physical fitness status of a user by integrating and analyzing a plurality of historical records of the user, and send out a warning prompt when the power consumed by the user in the riding motion of the flywheel vehicle approaches each power threshold, so as to achieve the effect of warning in advance to prevent the occurrence of motion injuries.
Although the present invention is disclosed in conjunction with the above embodiments, it is not intended to limit the present invention. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be subject to the definition of the appended claims.
Claims (17)
1. A flywheel vehicle ride motion sensing and feedback system, comprising:
the at least one image sensor is arranged behind a user and the flywheel vehicle ridden by the user and is used for detecting a plurality of lower limb joint points of the user;
a storage device for storing a plurality of history records of the user;
the processor is used for calculating the rotating speed of the wheel of the flywheel vehicle according to the detection records of the lower limb joint points, and then calculating the power consumption of the user according to the rotating speed of the wheel of the flywheel vehicle, the rotating resistance of the wheel of the flywheel vehicle and the riding time of the user, wherein the processor also comprises an analysis model which analyzes to obtain a plurality of power thresholds according to the history records of the user, and the processor compares the power consumption with the power thresholds; and
an alarm configured to issue an alarm when the power consumption approaches one of the power thresholds.
2. The system of claim 1, wherein the input device is configured to receive the rotational resistance of the flywheel.
3. The system of claim 1, wherein each history record of the user comprises a plurality of records of consumed power corresponding to skew angle.
4. The system of claim 3, wherein the skew angle is used to determine the skew of the user based on at least one skew threshold.
5. The system of claim 4, wherein the power thresholds are set according to the historical values of the power values at which the skew angle is greater than the at least one skew threshold value.
6. The system of claim 1, wherein the processor further comprises a comparison and amplification module and a noise filtering module for preprocessing the history records of the user.
7. The system of claim 1, wherein the lower limb joints comprise hip joints, knee joints, ankle joints, or toe joints.
8. The system of claim 1, wherein the memory device further stores at least one predetermined power threshold, and the alarm compares the power consumption with the at least one predetermined power threshold to generate the alarm when the user history is empty.
9. The flywheel ride sensing and feedback system of claim 1, wherein the analytical model is based on a Convolutional Neural Network (CNN) model.
10. A method for sensing and feeding back riding action of a flywheel vehicle comprises the following steps:
detecting a plurality of lower limb joint points of a user riding on the flywheel vehicle;
calculating the rotating speed of the wheels of the flywheel vehicle according to the detection records of the lower limb joint points;
calculating the power consumption of the user according to the rotating speed of the wheel of the flywheel vehicle, the rotating resistance of the wheel of the flywheel vehicle and the riding time of the user;
analyzing to obtain a plurality of power thresholds according to a plurality of historical records of the user by using an analysis model;
comparing the power consumption to the power thresholds; and
an alert is issued when the power consumption approaches one of the power thresholds.
11. The method of claim 10, wherein each history record of the user comprises a plurality of records of consumed power corresponding to skew angle.
12. The method of claim 11, wherein the skew angle is used to determine the skew of the user based on at least one skew threshold.
13. The method of claim 12, wherein the power thresholds are set according to the historical values of the power values at which the skew angle is greater than the at least one skew threshold value.
14. The method of claim 10, further comprising preprocessing the history records before calculating the power thresholds, wherein the preprocessing comprises comparing and amplifying and filtering.
15. The method of claim 10, wherein the lower limb joints comprise hip joints, knee joints, ankle joints, or toe joints.
16. The method of claim 10, wherein the power consumption is compared to at least one predetermined power threshold to generate the alert when the user history is empty.
17. The method of claim 10, wherein the analytical model is based on a Convolutional Neural Network (CNN) model.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW108147744 | 2019-12-26 | ||
| TW108147744A TWI708628B (en) | 2019-12-26 | 2019-12-26 | Sensing and feedback system for detecting motions of riding a spinning bike and method thereof |
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| CN113041558A true CN113041558A (en) | 2021-06-29 |
| CN113041558B CN113041558B (en) | 2022-02-01 |
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| CN201911411557.3A Active CN113041558B (en) | 2019-12-26 | 2019-12-31 | System and method for sensing and feeding back riding action of flywheel vehicle |
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| US20190192914A1 (en) * | 2017-12-20 | 2019-06-27 | Lawton Langford | Pulsatile resistive exerciser |
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| US20070142177A1 (en) * | 2005-09-26 | 2007-06-21 | Crucial Innovation, Inc. | Computerized method and system for fitting a bicycle to a cyclist |
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| KR20180071778A (en) * | 2016-12-20 | 2018-06-28 | 큐렉소 주식회사 | Apparatus for Training Walk |
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| US20150116472A1 (en) * | 2013-10-24 | 2015-04-30 | Global Action Inc. | Measuring system and measuring method for analyzing knee joint motion trajectory during cycling |
| US9283434B1 (en) * | 2014-09-30 | 2016-03-15 | Strength Master Fitness Tech Co., Ltd. | Method of detecting and prompting human lower limbs stepping motion |
| CN105404395A (en) * | 2015-11-25 | 2016-03-16 | 北京理工大学 | Stage performance assisted training method and system based on augmented reality technology |
| US20190083023A1 (en) * | 2016-08-02 | 2019-03-21 | Honda Motor Co., Ltd. | Wheel frame, driving wheel, wheelchair, ergometer, and measurement system |
| US20190192914A1 (en) * | 2017-12-20 | 2019-06-27 | Lawton Langford | Pulsatile resistive exerciser |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI708628B (en) | 2020-11-01 |
| CN113041558B (en) | 2022-02-01 |
| TW202124007A (en) | 2021-07-01 |
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