CN109276847B - Big data control method - Google Patents
Big data control method Download PDFInfo
- Publication number
- CN109276847B CN109276847B CN201810286627.6A CN201810286627A CN109276847B CN 109276847 B CN109276847 B CN 109276847B CN 201810286627 A CN201810286627 A CN 201810286627A CN 109276847 B CN109276847 B CN 109276847B
- Authority
- CN
- China
- Prior art keywords
- running
- image
- equipment
- signal
- fault
- Prior art date
- Legal status (The legal status 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 status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000007246 mechanism Effects 0.000 claims abstract description 21
- 238000005096 rolling process Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims description 29
- 238000001514 detection method Methods 0.000 claims description 19
- 239000011159 matrix material Substances 0.000 claims description 14
- 241000282414 Homo sapiens Species 0.000 claims description 13
- 239000013589 supplement Substances 0.000 claims description 6
- 238000001228 spectrum Methods 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 230000002146 bilateral effect Effects 0.000 abstract description 4
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 230000037396 body weight Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Images
Classifications
-
- 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
- A63B22/02—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills
- A63B22/0235—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor
- A63B22/0242—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor with speed variation
- A63B22/025—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor with speed variation electrically, e.g. D.C. motors with variable speed control
-
- 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
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/05—Image processing for measuring physical parameters
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/805—Optical or opto-electronic sensors
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/806—Video cameras
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/62—Measuring physiological parameters of the user posture
- A63B2230/625—Measuring physiological parameters of the user posture used as a control parameter for the apparatus
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Cardiology (AREA)
- Vascular Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to a large data control method of a crawler mechanism, which comprises the step of using a large data control platform of the crawler mechanism to timely reduce the rolling speed of the crawler mechanism of running equipment when the distance of a user of the running equipment deviating from a bilateral symmetry center line of a running machine is detected to be out of limit and the running posture of the user is abnormal. By the invention, the user of the running equipment can be prevented from being injured.
Description
Technical Field
The invention relates to the field of big data, in particular to a big data control method.
Background
Big data includes structured, semi-structured, and unstructured data, with unstructured data becoming an increasingly dominant part of the data. Survey reports by IDC show: 80% of the data in a business is unstructured and the data grows exponentially by 60% each year.
The big data is a representation or a characteristic of the internet which is developed to the present stage, and does not need to be worried or worried about the big data, under the setback of a technical innovation large screen represented by cloud computing, the data which is originally hard to collect and use is easy to utilize, and the big data can gradually create more value for human beings through continuous innovation of various industries.
Disclosure of Invention
In order to solve the problems, the invention provides a big data control method, which sets an effective detection mechanism and a corresponding coping means for the situation that the distance of the user of the running equipment deviating from the bilateral symmetry center line of the running machine exceeds the limit under the conditions of monitoring the running state of the user on the running equipment and extracting various data, thereby improving the safety level of the running equipment.
More specifically, the present invention has several important points as follows:
(1) before image fault analysis is carried out, content filling operation of blank pixel points is carried out firstly to ensure the precision and effectiveness of subsequent image fault analysis, and more importantly, pixel-by-pixel analysis is carried out on each color matrix of an image to cooperatively judge whether the image is a fault image;
(2) when the distance of the user of the running equipment deviating from the bilateral symmetry center line of the running machine is detected to exceed the limit, starting the analysis of the running posture of the user, and controlling the crawler mechanism of the running equipment in time to reduce the reciprocating type rolling speed when the analysis result is abnormal, thereby avoiding the injury of the user of the running equipment.
According to an aspect of the present invention, there is provided a crawler big data control method including using a crawler big data control platform to timely reduce a scrolling speed of a crawler of a running machine when a user of the running machine is detected to be out of limit from a bilateral symmetry center line of the running machine and a running posture of the user is abnormal, the crawler big data control platform including:
the constant speed input equipment is arranged on an instrument panel of the running equipment and used for receiving the speed grade input by a user and determining the corresponding driving rotating speed according to the received speed grade;
the crawler mechanism is arranged below an instrument panel of the running equipment and used for providing running space for a user when reciprocating rolling is carried out;
the track driving motor is arranged below an instrument panel of the running equipment, is connected with the constant-speed input equipment, and is used for receiving the driving rotating speed and rotating according to the driving rotating speed so as to control a track mechanism of the running equipment to perform reciprocating rolling according to the speed grade corresponding to the driving rotating speed;
the running device comprises an infrared detection array, a running device and a control system, wherein the infrared detection array is arranged on an instrument panel of the running device, comprises a plurality of infrared transceivers and is used for detecting objects opposite to the instrument panel of the running device so as to determine the current position of a user, and when the distance between the current position of the user and the left-right symmetrical center line of the running device exceeds the limit, an abnormal detection trigger signal is sent out;
the monitoring camera is arranged on an instrument panel of the running equipment, is connected with the infrared detection array and is used for starting image shooting on the opposite side of the instrument panel of the running equipment when receiving the abnormal detection trigger signal so as to obtain and output a real-time monitoring image;
and the content filling equipment is positioned at the big data server end, is connected with the monitoring camera, and is used for receiving the real-time monitoring image, calculating filling values based on pixel values of surrounding pixels of blank pixels in the real-time monitoring image to obtain the filling values, using the filling values as the pixel values of the blank pixels to realize content filling of the blank pixels, and outputting the image after the content filling of all the blank pixels is finished as a filled image.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a side view of a crawler big data control platform according to an embodiment of the present invention.
Fig. 2 is a front view of a crawler big data control platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the crawler big data control platform of the present invention will be described in detail below with reference to the accompanying drawings.
During the use of the running equipment, the following matters need to be paid attention to, otherwise, the running personnel are easily injured without end.
1. Running area of running equipment: this mainly affects the comfort when we run, and the running equipment in big space runs more comfortable, mainly can refer to the width of running board and the steadiness of running board.
2. How safe is when running exercise: the purpose of exercising with the running equipment is for physical health, so the safety of the running equipment must be considered. It is generally possible to determine whether the design of the treadmill handrail is convenient and comfortable and whether the emergency stop button is easily accessible and flexible.
3. Running device motor: in addition to the power requirement for the motor of the running equipment to be suitable for the body weight, the stability and the presence or absence of noise of the motor during running are also noted.
4. Speed and grade adjustment functions of the running device: the two points are determined according to the exercise conditions of the running equipment of the user and the family, and whether the preset speed and gradient adjusting function of the running equipment meets the requirements of the user or not can be known during shopping.
5. How stable the running equipment is when switching functions: sometimes, it is necessary to switch the running exercise mode at any time during the running exercise, and if the running device reacts violently to cause shaking during the switching of the running mode, the stability of the running device is poor.
6. Whether the running belt is stable: the running belt is one of the main parts which are important when people take exercise on running equipment, and if the running belt runs unstably when running, the running belt frequently slips, is interrupted, deviates and the like, the running exercise is not favorable.
Even so, the prior art running apparatus lacks an effective detection mechanism and a countermeasure for the case where the user of the running apparatus is out of the limits of the distance from the left-right symmetrical center line of the running machine, which is very likely to cause the user to bump and fall out of the running machine without self-knowledge, and thus, the safety performance of the prior art running apparatus is still poor.
In order to overcome the defects, the invention builds a large data control method of the crawler mechanism, the method comprises the step of using a large data control platform of the crawler mechanism to timely reduce the rolling speed of the crawler mechanism of the running equipment when the distance of a user of the running equipment deviating from a left-right symmetrical center line of the running machine is detected to be out of limit and the running posture of the user is abnormal, and the large data control platform of the crawler mechanism is used for avoiding body injuries and falling accidents caused in the using process of the user.
The crawler big data control platform comprises the following components:
the constant speed input equipment is arranged on an instrument panel of the running equipment and used for receiving the speed grade input by a user and determining the corresponding driving rotating speed according to the received speed grade;
a track mechanism, as shown in the side view of fig. 1, comprising an upright support 1, a running platform 2 and a fixture 3, disposed under the dashboard of the running apparatus, for providing a running space for a user when performing reciprocating scrolling;
fig. 2 is a front view of a crawler big data control platform according to an embodiment of the present invention.
And the track driving motor is arranged below an instrument panel of the running equipment, is connected with the constant speed input equipment, and is used for receiving the driving rotating speed and rotating according to the driving rotating speed so as to control a track mechanism of the running equipment to perform reciprocating rolling according to the speed grade corresponding to the driving rotating speed.
Next, a detailed description of the crawler big data control deck according to the present invention will be further described.
The crawler big data control platform can further comprise:
the running device comprises an infrared detection array, a running device and a control system, wherein the infrared detection array is arranged on an instrument panel of the running device, comprises a plurality of infrared transceivers and is used for detecting objects opposite to the instrument panel of the running device so as to determine the current position of a user, and when the distance between the current position of the user and the left-right symmetrical center line of the running device exceeds the limit, an abnormal detection trigger signal is sent out;
and the monitoring camera is arranged on an instrument panel of the running equipment, is connected with the infrared detection array and is used for starting image shooting on the opposite side of the instrument panel of the running equipment when receiving the abnormity detection trigger signal so as to obtain and output a real-time monitoring image.
The crawler big data control platform can further comprise:
the content filling equipment is positioned at a big data server end, is connected with the monitoring camera and is used for receiving the real-time monitoring image, calculating filling values based on pixel values of surrounding pixel points for blank pixel points in the real-time monitoring image to obtain filling values, using the filling values as the pixel values of the blank pixel points to realize content filling of the blank pixel points and outputting an image after the content filling of all the blank pixel points is finished as a filled image;
a failure analysis device connected to the content filling device, configured to receive the filled image, obtain H component values, S component values, and B component values of each pixel point in the filled image, convert the filled image into an H color matrix, an S color matrix, and a B color matrix, send a first failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the H color matrix, send a second failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the S color matrix, send a third failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the B color matrix, and the failure analysis device is further configured to, upon receiving the first failure signal and receiving the second failure signal, determining the filled image as a fault image, determining the filled image as the fault image when the first fault signal is received and the third fault signal is received, determining the real-time monitoring image as the fault image when the second fault signal is received and the third fault signal is received, and otherwise determining the real-time monitoring image as a non-fault image;
the attitude analysis equipment is connected with the fault analysis equipment and is used for performing the following analysis operations on the real-time monitoring image of the non-fault image: acquiring each human body pixel point from the real-time monitoring image based on a preset human body gray threshold range, forming each human body pixel point into a human body target pattern, respectively matching the human body target pattern with each running gesture, sending a dangerous gesture signal when the human body target pattern is not matched with any one running gesture, and otherwise sending a running gesture signal;
the voice alarm chip is connected with the attitude analysis equipment and is used for playing a voice alarm file corresponding to the dangerous attitude signal when the dangerous attitude signal is received, otherwise, not playing any voice alarm file;
and the track driving motor is also connected with the posture analysis equipment and is used for reducing the rotating speed to control the track mechanism of the running equipment to reduce the reciprocating rolling speed when the dangerous posture signal is received.
In the crawler big data control platform:
and when receiving the running posture signal, the track driving motor keeps the rotating speed so as to control the track mechanism of the running equipment to keep the reciprocating rolling speed.
In the crawler big data control platform:
and the monitoring camera is also internally provided with a light supplementing device which is used for performing light supplementing operation corresponding to the ambient brightness when the ambient brightness is less than or equal to a preset brightness threshold value.
In the crawler big data control platform:
the monitoring camera performs light supplement operation corresponding to the ambient brightness, and the light supplement operation comprises the following steps: the greater the ambient brightness is, the smaller the force of the light supplement operation corresponding to the ambient brightness is.
In addition, the Infrared detection array includes a plurality of Infrared transceivers, each of which uses Infrared (Infrared) that is an electromagnetic wave having a wavelength between microwave and visible light, and the Infrared is invisible light having a wavelength between 760 nanometers (nm) and 1 millimeter (mm) longer than red light. Substances above absolute zero (-273.15 c) can all produce infrared radiation. Modern physics is called heat rays. Medical infrared rays can be divided into two categories: near infrared rays and far infrared rays. Containing heat energy, the heat of the sun is mainly transferred to the earth through infrared rays.
Infrared is one of the many invisible rays of sunlight and was discovered by uk scientist, henschel 1800, also known as infrared thermal radiation, who split the sunlight with a triangular prism and placed thermometers at the locations of the various colored bands in an attempt to measure the heating effect of the various colored lights. It was found that the thermometer located outside the red light warmed up the fastest. It was thus concluded that: in the solar spectrum, there must be invisible light outside the red, which is infrared. May also be used as a transmission medium. The wavelength of infrared rays in the solar spectrum is larger than that of visible rays, and the wavelength is 0.75-1000 mu m. The infrared ray can be divided into three parts, namely near infrared ray, and the wavelength is between (0.75-1) and (2.5-3) mu m; middle infrared ray with wavelength of 2.5-3-25-40 μm; far infrared ray with wavelength of 25-40-500 micron.
The invention discloses a large data control platform of a crawler mechanism, which aims at the technical problem that the monitoring technology of running equipment in the prior art is not complete enough, before image fault analysis is carried out, content filling operation of blank pixel points is carried out firstly to ensure the precision and effectiveness of subsequent image fault analysis, and more importantly, pixel-by-pixel analysis is carried out on each color matrix of an image to judge whether the image is a fault image or not in a coordinated manner.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (3)
1. A method of crawler big data control, the method comprising using a crawler big data control platform to reduce the scrolling speed of a crawler of a running machine in time when detecting that a user of the running machine is out of range from a left-right symmetric centerline of the running machine and the running posture of the user is abnormal, the crawler big data control platform comprising:
the constant speed input equipment is arranged on an instrument panel of the running equipment and used for receiving the speed grade input by a user and determining the corresponding driving rotating speed according to the received speed grade;
the crawler mechanism is arranged below an instrument panel of the running equipment and used for providing running space for a user when reciprocating rolling is carried out;
the track driving motor is arranged below an instrument panel of the running equipment, is connected with the constant-speed input equipment, and is used for receiving the driving rotating speed and rotating according to the driving rotating speed so as to control a track mechanism of the running equipment to perform reciprocating rolling according to the speed grade corresponding to the driving rotating speed;
the running device comprises an infrared detection array, a running device and a control system, wherein the infrared detection array is arranged on an instrument panel of the running device, comprises a plurality of infrared transceivers and is used for detecting objects opposite to the instrument panel of the running device so as to determine the current position of a user, and when the distance between the current position of the user and the left-right symmetrical center line of the running device exceeds the limit, an abnormal detection trigger signal is sent out;
the monitoring camera is arranged on an instrument panel of the running equipment, is connected with the infrared detection array and is used for starting image shooting on the opposite side of the instrument panel of the running equipment when receiving the abnormal detection trigger signal so as to obtain and output a real-time monitoring image;
the content filling equipment is positioned at a big data server end, is connected with the monitoring camera and is used for receiving the real-time monitoring image, calculating filling values based on pixel values of surrounding pixel points for blank pixel points in the real-time monitoring image to obtain filling values, using the filling values as the pixel values of the blank pixel points to realize content filling of the blank pixel points and outputting an image after the content filling of all the blank pixel points is finished as a filled image;
a failure analysis device connected to the content filling device, configured to receive the filled image, obtain H component values, S component values, and B component values of each pixel point in the filled image, convert the filled image into an H color matrix, an S color matrix, and a B color matrix, send a first failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the H color matrix, send a second failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the S color matrix, send a third failure signal when a deviation value from a value of a certain position to a mean value of values of positions around the value is greater than a limit amount in the B color matrix, and the failure analysis device is further configured to, upon receiving the first failure signal and receiving the second failure signal, determining the filled image as a fault image, determining the filled image as the fault image when the first fault signal is received and the third fault signal is received, determining the real-time monitoring image as the fault image when the second fault signal is received and the third fault signal is received, and otherwise determining the real-time monitoring image as a non-fault image;
the attitude analysis equipment is connected with the fault analysis equipment and is used for performing the following analysis operations on the real-time monitoring image of the non-fault image: acquiring each human body pixel point from the real-time monitoring image based on a preset human body gray threshold range, forming each human body pixel point into a human body target pattern, respectively matching the human body target pattern with each running gesture, sending a dangerous gesture signal when the human body target pattern is not matched with any one running gesture, and otherwise sending a running gesture signal;
the voice alarm chip is connected with the attitude analysis equipment and is used for playing a voice alarm file corresponding to the dangerous attitude signal when the dangerous attitude signal is received, otherwise, not playing any voice alarm file;
the track driving motor is also connected with the posture analysis equipment and used for reducing the rotating speed to control a track mechanism of the running equipment to reduce the reciprocating rolling speed when the dangerous posture signal is received;
the monitoring camera carries out light supplement operation corresponding to the ambient brightness, and the light supplement operation comprises the following steps: the greater the ambient brightness is, the smaller the force of the light supplement operation corresponding to the ambient brightness is;
the infrared ray detection array comprises a plurality of infrared ray transceivers, infrared rays adopted by each infrared ray transceiver are electromagnetic waves with the wavelength between microwave and visible light, the wavelength is 760 nanometers to 1 millimeter, invisible light longer than red light is generated by substances higher than absolute zero, modern physics refers to heat rays, the infrared rays are one of a plurality of invisible rays in solar rays, invisible rays are necessarily present outside the red light in the solar spectrum, namely the infrared rays, and also serve as a transmission medium, the wavelength of the infrared rays in the solar spectrum is larger than that of the visible rays, the wavelength is 0.75-1000 mu m, and the infrared rays can be divided into three parts, namely near infrared rays, middle infrared rays and far infrared rays.
2. The method of claim 1, wherein:
and when receiving the running posture signal, the track driving motor keeps the rotating speed so as to control the track mechanism of the running equipment to keep the reciprocating rolling speed.
3. The method of claim 2, wherein:
and the monitoring camera is also internally provided with a light supplementing device which is used for performing light supplementing operation corresponding to the ambient brightness when the ambient brightness is less than or equal to a preset brightness threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810286627.6A CN109276847B (en) | 2018-04-03 | 2018-04-03 | Big data control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810286627.6A CN109276847B (en) | 2018-04-03 | 2018-04-03 | Big data control method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109276847A CN109276847A (en) | 2019-01-29 |
| CN109276847B true CN109276847B (en) | 2020-10-13 |
Family
ID=65186188
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810286627.6A Expired - Fee Related CN109276847B (en) | 2018-04-03 | 2018-04-03 | Big data control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109276847B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7103307B2 (en) * | 2019-06-07 | 2022-07-20 | トヨタ自動車株式会社 | Gait training system and control program of gait training system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ATE522254T1 (en) * | 2000-08-18 | 2011-09-15 | Icon Ip Inc | SYSTEM FOR INTERACTION WITH EXERCISE EQUIPMENT |
| CN101266689B (en) * | 2008-04-23 | 2010-09-29 | 北京中星微电子有限公司 | A mobile target detection method and device |
| US9904269B2 (en) * | 2015-03-31 | 2018-02-27 | Enernoc, Inc. | Apparatus and method for demand coordination network control |
| CN105288941A (en) * | 2015-11-11 | 2016-02-03 | 小米科技有限责任公司 | Treadmill speed regulating method and device |
| CN107080932A (en) * | 2017-05-12 | 2017-08-22 | 秦路 | Reconditioning method and system based on recognition of face and motion capture |
-
2018
- 2018-04-03 CN CN201810286627.6A patent/CN109276847B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN109276847A (en) | 2019-01-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3187850B1 (en) | Safe visual recognition-based method for standard measurement/calculation of daytime tunnel entrance section illumination, and system thereof | |
| Van Winsum et al. | Speed choice and steering behavior in curve driving | |
| US6082858A (en) | Apparatus and method of monitoring a subject's eyes using two different wavelengths of light | |
| US20180357520A1 (en) | Protective system for infrared light source | |
| US20070097350A1 (en) | Variable polarization attenuator | |
| CN111591379B (en) | Method, device and equipment for adjusting output power of shared electric bicycle based on wearing state of safety helmet and storage medium | |
| CN109276847B (en) | Big data control method | |
| WO2019200434A9 (en) | Infrared light source protective system | |
| CN107808534A (en) | A kind of tunnel safety protector and system | |
| CN106627343A (en) | Vehicle and reversing auxiliary device thereof | |
| Alam et al. | IoT enabled smart bicycle safety system | |
| CN207458346U (en) | A kind of tunnel safety protective device and system | |
| Rascanu et al. | Electric wheelchair control for people with locomotor disabilities using eye movements | |
| Jadhav et al. | Automatic headlight intensity control using light dependent resistor | |
| KR20110018175A (en) | Apparatus and method for controlling means of transportation | |
| CN206819545U (en) | A kind of traffic violations intelligent traffic monitoring device | |
| KR102496950B1 (en) | Safety electric kickboard system | |
| CN206236272U (en) | A kind of electronic police of drive power apparatus | |
| Rajapraveen | Accident Detection System Using IoT Based Cloud Computing Technology | |
| Seçkin | Labeling System with EEG, EMG, and IMU for Visual Training of Autonomous Vehicles | |
| Zenhom et al. | Collision Avoidance System by using Artificial Intelligence for Ground Support Equipment in Airport | |
| CN108572605B (en) | Big data control platform | |
| CN104092980A (en) | Low-cost active near-infrared night vision system and working method thereof | |
| Mahore et al. | Two Wheeler Rider Support System | |
| Takai et al. | Robust detection method of the driver’s face and eye region for driving support system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 061000 room 808, building 8, Jingye Science Park, No. 20, Donghai Road, Cangzhou Economic Development Zone, Hebei Province Applicant after: Li Hongjun Address before: 226100 69 spring breeze Road, Yu Dong Town, Haimen City, Nantong, Jiangsu Applicant before: Li Hongjun |
|
| CB02 | Change of applicant information | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Li Hongjun Inventor after: Zhou Yu Inventor before: Li Hongjun |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20200903 Address after: Room 4003, building 5, Lushang Guoao City, 9777 Jingshi Road, Lixia District, Jinan City, Shandong Province Applicant after: Shandong Lushang Innovation Development Co.,Ltd. Address before: 061000 room 808, building 8, Jingye Science Park, No. 20, Donghai Road, Cangzhou Economic Development Zone, Hebei Province Applicant before: Li Hongjun |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201013 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |