CN108280965A - Detection alarm method based on cloud computing - Google Patents

Detection alarm method based on cloud computing Download PDF

Info

Publication number
CN108280965A
CN108280965A CN201810262776.9A CN201810262776A CN108280965A CN 108280965 A CN108280965 A CN 108280965A CN 201810262776 A CN201810262776 A CN 201810262776A CN 108280965 A CN108280965 A CN 108280965A
Authority
CN
China
Prior art keywords
equipment
running frequency
vibrations
treadmill belt
image
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.)
Granted
Application number
CN201810262776.9A
Other languages
Chinese (zh)
Other versions
CN108280965B (en
Inventor
杨杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xintongda Intelligent Technology Co ltd
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201810262776.9A priority Critical patent/CN108280965B/en
Publication of CN108280965A publication Critical patent/CN108280965A/en
Application granted granted Critical
Publication of CN108280965B publication Critical patent/CN108280965B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items

Abstract

The present invention relates to a kind of detection alarm method based on cloud computing, the method includes using the shock detection alarm platform based on cloud computing with based on each time on treadmill belt vibrations and corresponding each vibrations moment, obtain the current running frequency of user, and when current running frequency is less than or equal to minimum running frequency limitation, stop the operation of treadmill belt.By means of the invention it is possible to realize the quick reply to equipment emergency of running.

Description

Detection alarm method based on cloud computing
Technical field
The present invention relates to field of cloud calculation more particularly to a kind of detection alarm methods based on cloud computing.
Background technology
Under cloud computing environment, significant changes will occur for software technology, framework.First, the software developed must be with cloud phase It adapts to, can be organically combined with the cloud platform for virtually turning to core, adapt to operational capability, the dynamic change of storage capacity;Second is that It disclosure satisfy that the use of a large number of users, including data store organisation, processing capacity;Third, to interconnect networking, it is based on internet The application of software is provided;Fourth, security requirement higher, it can be with attack resistance, and private information can be protected, fifth, being operable with shifting The various environment such as dynamic terminal, mobile phone, network computer.
Under cloud computing environment, environment, the operating mode of software development will also change.Although traditional soft project The change of essence will not occur for theory, but the developing instrument based on cloud platform, development environment, development platform will be opened for agility Collaboration, strange land exploitation etc. offer convenience in hair, project team.Cloud platform, realization can be utilized to open online in development project group Hair, and knowledge accumulation, software repeated usage are showed by mysorethorn.
Under cloud computing environment, the final form of expression of software product is more rich and varied.In cloud platform, software can be A kind of service, such as SAAS can also be exactly a Web Services, it is also possible to can be with the application of download online, such as apple Online shop in application software etc..
Invention content
To solve the above-mentioned problems, the present invention provides a kind of detection alarm method based on cloud computing, can run Players physical condition does not catch up with the current setting speed of treadmill on machine, when starting to occur the case where cadence decline, in time It identifies the situation, and formulates corresponding counter-measure, to further increase the overall intelligence degree of treadmill.
According to an aspect of the present invention, a kind of detection alarm method based on cloud computing is provided, the method includes making With the shock detection alarm platform based on cloud computing with based on each time on treadmill belt vibrations and corresponding each vibrations Moment obtains the current running frequency of user, and when current running frequency is less than or equal to minimum running frequency limitation, stops running The operation of band is walked, the shock detection alarm platform based on cloud computing includes:
Shock detection equipment is arranged on the treadmill belt of running equipment, for detecting the vibrations on treadmill belt each time, and To be exported as the vibrations moment at the time of record shakes corresponding each time;
Shake analytical equipment, connect with the shock detection equipment, for receive each time shake and it is corresponding respectively A vibrations moment analyzes to obtain the running frequency of user each vibrations moment;Wherein, to each vibrations Moment is analyzed includes with the running frequency for obtaining user:Based on the vibrations moment occurred in each setting time interval Quantity determines the running frequency of the user in the setting time interval;
Wherein, the shock detection equipment and the vibrations analytical equipment are all located at high in the clouds.
Grade extraction equipment is connect with the magneto of the treadmill belt is driven, for receiving turning for the magneto Speed, and determine based on the rotating speed of the magneto the current scrolling speed class of treadmill belt;
Control device is shot, is connected respectively with the high-definition camera and the grade extraction equipment run in the environment of equipment place It connects, the running frequency being used in current setting time interval is low numerical value relative to the current scrolling speed class of treadmill belt When, it sends out monitoring enabling signal and is shot with starting the high-definition camera, obtain continuous multiframe on simultaneously output time axis High definition ambient image;
Image authentication equipment is connect with the shooting control device, for receiving multiframe high definition ambient image, for each The clear ambient image of vertical frame dimension executes following processing:Obtain C brightness values, the M of each pixel in the clear ambient image per a line Brightness value, Y brightness values and K brightness values determine C brightness values, M brightness values, Y brightness values and the K brightness value phases of each pixel Biquadratic value is opened to obtain the reference value of each pixel after multiplying, and the reference value of each pixel of every a line is added Afterwards divided by the horizontal resolution of the clear ambient image is to obtain the reference value of every a line, and works as there are the reference value of certain a line, When the mean value of the reference value and the reference value of a line below that deviate its top a line reaches default limitation, the high definition ring is determined Border image is fault picture.
According to another aspect of the present invention, a kind of shock detection alarm method based on cloud computing, the side are additionally provided Method include using such as above-mentioned the shock detection alarm platform based on cloud computing with based on each time on treadmill belt vibrations and point Not corresponding each vibrations moment obtains the current running frequency of user, and is less than or equal to minimum running in current running frequency When frequency is limited the quantity, stop the operation of treadmill belt.
It can be seen that the present invention has important inventive point at following three:
(1) based on each time on treadmill belt vibrations and corresponding each vibrations moment, the current race of user is obtained Synchronizing frequency, and in current running frequency exception, higher-quality picture control processing and fall detection processing are carried out immediately;
(2) when current running frequency is less than or equal to minimum running frequency and limits the quantity, stop the operation of treadmill belt to realize pair The effective protection of user;
(3) four are opened after the C brightness values, M brightness values, Y brightness values to each pixel of image are multiplied with K brightness values On the basis of reference value of the power value to obtain each pixel, removed after the reference value of each pixel of every a line is added With the horizontal resolution of the high-definition image to obtain the reference value of every a line, on this basis, whether it is accurately judged to image Generate failure.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein:
Fig. 1 is the running that is located at according to the shock detection alarm platform based on cloud computing shown in embodiment of the present invention The structural schematic diagram of machine.
Specific implementation mode
Embodiment of the present invention is described in detail below with reference to accompanying drawings.
It is divided according to the function of running equipment, can running equipment be divided into single function running equipment and Multifunctional running is set It is standby.
Single function running equipment is divided into two classes from structure, and one kind is roller type running equipment, and one kind is flat running Equipment.Noise is very big when roller type running equipment work, has been eliminated.Flat running equipment is actively transported above by people It is dynamic, thus make one to feel with commonly running.Its electronic watch can help trainer to record speed per hour, time, heart rate, heat The indexs such as amount, beat, distance.So that you is understood the training of oneself at any time, carries out purposive adjustment.
Multifunctional running equipment is by running equipment, rowing machine, recumbent cycle, upright cycle, relaxing machine, waist spigot Etc. functions equipment be composed, it is more with function, take up an area liked less by some.Its exercise method is set with common running It is standby the same, but the use that should have from fitness equipment is comfortable, conveniently, technical movements it is accurate it is reasonable on see, Multifunctional running equipment There is certain defect.
For corresponding running personnel, limits the quantity less than or equal to minimum running frequency in current running frequency, illustrate running personnel In frazzle, the current setting speed of running equipment can not be kept up with, the slow even stopping of speed tune should be carried out at this time and run The operation for walking equipment occurs to avoid danger, however, current lack such testing mechanism.
In order to overcome above-mentioned deficiency, the present invention to build a kind of detection alarm method based on cloud computing, the method packet It includes using the shock detection alarm platform based on cloud computing with based on each time on treadmill belt vibrations and corresponding each The moment is shaken, obtains the current running frequency of user, and when current running frequency is less than or equal to minimum running frequency limitation, stop The only operation of treadmill belt, the shock detection alarm platform based on cloud computing can effectively detect the shape tired out of players Condition avoids players overexercise.
Fig. 1 is the running that is located at according to the shock detection alarm platform based on cloud computing shown in embodiment of the present invention The structural schematic diagram of machine.Wherein, 1 be treadmill user, 2 and 3 be respectively treadmill at left and right sides of firmware.
Shock detection alarm platform according to embodiments of the present invention based on cloud computing includes:
Shock detection equipment is arranged on the treadmill belt of running equipment, for detecting the vibrations on treadmill belt each time, and To be exported as the vibrations moment at the time of record shakes corresponding each time;
Shake analytical equipment, connect with the shock detection equipment, for receive each time shake and it is corresponding respectively A vibrations moment analyzes to obtain the running frequency of user each vibrations moment;Wherein, to each vibrations Moment is analyzed includes with the running frequency for obtaining user:Based on the vibrations moment occurred in each setting time interval Quantity determines the running frequency of the user in the setting time interval;
Wherein, the shock detection equipment and the vibrations analytical equipment are all located at high in the clouds.
Then, continue to carry out the concrete structure of the shock detection alarm platform based on cloud computing of the present invention further Explanation.
Can also include in the shock detection alarm platform based on cloud computing:
Grade extraction equipment is connect with the magneto of the treadmill belt is driven, for receiving turning for the magneto Speed, and determine based on the rotating speed of the magneto the current scrolling speed class of treadmill belt;
Control device is shot, is connected respectively with the high-definition camera and the grade extraction equipment run in the environment of equipment place It connects, the running frequency being used in current setting time interval is low numerical value relative to the current scrolling speed class of treadmill belt When, it sends out monitoring enabling signal and is shot with starting the high-definition camera, obtain continuous multiframe on simultaneously output time axis High definition ambient image;
Image authentication equipment is connect with the shooting control device, for receiving multiframe high definition ambient image, for each The clear ambient image of vertical frame dimension executes following processing:Obtain C brightness values, the M of each pixel in the clear ambient image per a line Brightness value, Y brightness values and K brightness values determine C brightness values, M brightness values, Y brightness values and the K brightness value phases of each pixel Biquadratic value is opened to obtain the reference value of each pixel after multiplying, and the reference value of each pixel of every a line is added Afterwards divided by the horizontal resolution of the clear ambient image is to obtain the reference value of every a line, and works as there are the reference value of certain a line, When the mean value of the reference value and the reference value of a line below that deviate its top a line reaches default limitation, the high definition ring is determined Border image is fault picture;
Data, which are picked up, picks equipment, is connect with described image authentication equipment, is picked for being picked up from the multiframe high definition ambient image Be out of order image, is exported the clear ambient image of each vertical frame dimension except fault picture as the clear high quality image of each vertical frame dimension;
Control device is shut down, is connect respectively with the grade extraction equipment and the magneto, for being set currently When running frequency in time interval is less than or equal to minimum running frequency limitation, stop the magneto operating to stop running The operation of band;
Fall detection equipment picks up with the data and picks equipment and connect, to receive the high definition high quality image of a newest frame, and When recognizing the human body contour outline in the high definition high quality image of a newest frame and being consistent with default tumble profile, tumble alarm signal is sent out Number, otherwise, send out no tumble behavior signal;
Tdd communication apparatus is picked up with the data and picks equipment and connect, for leading to each clear high quality image of vertical frame dimension Time division duplex communication link is crossed to be sent on the mobile terminal of administrative staff;
Wherein, the shutdown control device is additionally operable to the running frequency in current setting time interval relative to treadmill belt Current scrolling speed class when being low numerical value, adjust magneto operating so that treadmill belt current scrolling speed Grade is spent to be adapted with the running frequency in current setting time interval.
In the shock detection alarm platform based on cloud computing:
In described image authentication equipment, when the reference value for there is no the reference value of any a line, deviateing its top a line When reaching default limitation with the mean value of the reference value of a line below, determine that the high definition ambient image is non-faulting image.
In the shock detection alarm platform based on cloud computing:
The tdd communication apparatus is also connect with the fall detection equipment, for leading to the tumble alarm signal Time division duplex communication link is crossed to be sent on the mobile terminal of administrative staff.
In the shock detection alarm platform based on cloud computing:
The tdd communication apparatus is not believed the no tumble behavior when receiving the no tumble behavior signal It number is sent on the mobile terminal of administrative staff.
And in the shock detection alarm platform based on cloud computing:
The current scrolling speed class of the treadmill belt corresponds to the current velocity of the running equipment manually set Grade.
Meanwhile in order to overcome above-mentioned deficiency, the present invention also to build a kind of shock detection alarm method based on cloud computing, The method includes using as the above-mentioned shock detection alarm platform based on cloud computing with based on each vibrations on treadmill belt And corresponding each vibrations moment, the current running frequency of user is obtained, and be less than or equal to most in current running frequency When low running frequency limitation, stop the operation of treadmill belt.
In addition, time division duplex is a kind of duplex mode of communication system, be used to detach in mobile communication system receive and Transmit channel.Mobile communication positive third generation development at present, China have submitted 3G (Third Generation) Moblie standard grass in June, 1997 Case (TD-SCDMA), the characteristics such as tdd mode and smart antenna new technology are greatly prized by and at three main candidate standards One of.Fdd mode rules all the land in the first generation and second generation mobile communication system, and tdd mode does not draw attention.But due to Many advantages of the needs of new business and the development of new technology and tdd mode, tdd mode will be paid more and more attention.
The operation principle of time division duplex is as follows:TDD is a kind of duplex mode of communication system, is used in mobile communication system It is received and transmission channel (or uplink downlink) in separation.It is received in the mobile communication system of tdd mode and transmission is same The different time-gap of frequency channels, that is, carrier wave detaches reception and transmission channel with the time is ensured;And the mobile communication system of fdd mode The reception and transmission of system are to detach reception and transmission channel with frequency range is ensured on two symmetrical frequency channels of separation.
It is different using the mobile communication system feature of different dual-modes with benefit is communicated.The movement of tdd mode is logical The same frequency of uplink and downlink channel in letter system, thus the reciprocity with uplink and downlink channel, this is logical to the movement of tdd mode Letter system brings many advantages.
In tdd mode, in uplink and downlink the transmission of information can be carried out in same carrier frequency, i.e., The transmission of information is realized by the time-division on same carrier wave in the transmission of information and downlink in uplink.
Shock detection alarm platform using the present invention based on cloud computing, for cannot achieve in the prior art to movement The technical issues of personnel's situation tired out effectively detects, in the C brightness values, M brightness values, Y brightness values to each pixel of image After being multiplied with K brightness values open reference value of the biquadratic value to obtain each pixel on the basis of, by each of every a line After the reference value of pixel is added divided by the horizontal resolution of the high-definition image is to obtain the reference value of every a line, basic herein On, it is accurately judged to whether image generates failure, based on each time on treadmill belt vibrations and when corresponding each vibrations It carves, obtains the current running frequency of user, and in current running frequency exception, carry out at higher-quality picture control immediately Reason, and stop the operation of treadmill belt to realize the effective protection to user.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.

Claims (6)

1. a kind of detection alarm method based on cloud computing, flat the method includes using the shock detection based on cloud computing to alarm Platform based on each time on treadmill belt vibrations and corresponding each vibrations moment, to obtain the current running frequency of user, And when current running frequency is less than or equal to minimum running frequency and limits the quantity, stop the operation of treadmill belt, it is described based on cloud computing Shock detection alarm platform includes:
Shock detection equipment is arranged on the treadmill belt of running equipment, for detecting the vibrations on treadmill belt each time, and records To be exported as the vibrations moment at the time of vibrations are corresponding each time;
Analytical equipment is shaken, is connect with the shock detection equipment, for receiving each vibrations and corresponding each shake At the dynamic moment, each vibrations moment is analyzed to obtain the running frequency of user;Wherein, to each vibrations moment It is analyzed and includes with the running frequency for obtaining user:Quantity based on the vibrations moment occurred in each setting time interval Determine the running frequency of the user in the setting time interval;
Wherein, the shock detection equipment and the vibrations analytical equipment are all located at high in the clouds.
2. the method as described in claim 1, which is characterized in that the platform further includes:
Grade extraction equipment is connect, the rotating speed for receiving the magneto with the magneto of the treadmill belt is driven, and The current scrolling speed class of treadmill belt is determined based on the rotating speed of the magneto;
Control device is shot, is connect respectively with the high-definition camera and the grade extraction equipment run in the environment of equipment place, For the running frequency in current setting time interval relative to treadmill belt current scrolling speed class be low numerical value when, It sends out monitoring enabling signal to be shot to start the high-definition camera, obtains continuous multiframe high definition on simultaneously output time axis Ambient image;
Image authentication equipment is connect with the shooting control device, for receiving multiframe high definition ambient image, for each vertical frame dimension Clear ambient image executes following processing:Obtain C brightness values, the M brightness of each pixel in the clear ambient image per a line Value, Y brightness values and K brightness values, after determining that the C brightness values, M brightness values, Y brightness values of each pixel are multiplied with K brightness values Open biquadratic value to obtain the reference value of each pixel, and will the reference value of each pixel of every a line be added after remove With the horizontal resolution of the clear ambient image to obtain the reference value of every a line, and when there are the reference value of certain a line, deviations When the reference value of its top a line and the mean value of the reference value of a line below reach default limitation, the high definition environment map is determined As being fault picture;
Data, which are picked up, picks equipment, is connect with described image authentication equipment, and event is sorted out for being picked up from the multiframe high definition ambient image Hinder image, is exported the clear ambient image of each vertical frame dimension except fault picture as the clear high quality image of each vertical frame dimension;
Control device is shut down, is connect respectively with the grade extraction equipment and the magneto, in current setting time When running frequency in interval is less than or equal to minimum running frequency limitation, stop the magneto operating to stop treadmill belt Operation;
Fall detection equipment picks up with the data and picks equipment and connect, to receive the high definition high quality image of a newest frame, and identifying When being consistent to the human body contour outline in the high definition high quality image of a newest frame with default tumble profile, tumble alarm signal is sent out, Otherwise, no tumble behavior signal is sent out;
Tdd communication apparatus is picked up with the data and picks equipment and connect, when for passing through each clear high quality image of vertical frame dimension Division duplex communication link is sent on the mobile terminal of administrative staff;
Wherein, the shutdown control device is additionally operable to running frequency the working as relative to treadmill belt in current setting time interval When preceding scrolling speed class is low numerical value, adjusts the magneto and operate the current scrolling speed etc. so that treadmill belt Grade is adapted with the running frequency in current setting time interval.
3. method as claimed in claim 2, it is characterised in that:
In described image authentication equipment, when the reference value for there is no the reference value of any a line, deviateing its top a line and its When the mean value of the reference value of lower section a line reaches default limitation, determine that the high definition ambient image is non-faulting image.
4. method as claimed in claim 3, it is characterised in that:
The tdd communication apparatus is also connect with the fall detection equipment, when for passing through the tumble alarm signal Division duplex communication link is sent on the mobile terminal of administrative staff.
5. method as claimed in claim 4, it is characterised in that:
The tdd communication apparatus is not sent out the no tumble behavior signal when receiving the no tumble behavior signal It is sent on the mobile terminal of administrative staff.
6. method as claimed in claim 5, it is characterised in that:
The current scrolling speed class of the treadmill belt corresponds to the current velocity grade of the running equipment manually set.
CN201810262776.9A 2018-03-28 2018-03-28 Detection alarm method based on cloud computing Active CN108280965B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810262776.9A CN108280965B (en) 2018-03-28 2018-03-28 Detection alarm method based on cloud computing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810262776.9A CN108280965B (en) 2018-03-28 2018-03-28 Detection alarm method based on cloud computing

Publications (2)

Publication Number Publication Date
CN108280965A true CN108280965A (en) 2018-07-13
CN108280965B CN108280965B (en) 2019-09-13

Family

ID=62810669

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810262776.9A Active CN108280965B (en) 2018-03-28 2018-03-28 Detection alarm method based on cloud computing

Country Status (1)

Country Link
CN (1) CN108280965B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2475429Y (en) * 2000-12-11 2002-02-06 黄炳辉 Control panel for treadmill
CN1861227A (en) * 2005-05-12 2006-11-15 辅祥实业股份有限公司 Treadlemill with step counting function, and step counting method
US20070149363A1 (en) * 2005-12-22 2007-06-28 Leao Wang Treadmill belt lubricating device for an electric treadmill
US20080207407A1 (en) * 2007-02-23 2008-08-28 Sing Lin Technology Co., Ltd. Exercise treadmill for additionally vibrating a user running or walking on a tread belt
CN201430692Y (en) * 2009-06-04 2010-03-24 北京天安信通科技有限责任公司 Wireless mobile terminal with fall alarm prompt and pedometer function
CN103985224A (en) * 2014-04-09 2014-08-13 惠州Tcl移动通信有限公司 Method and system for detecting user fatigue and carrying out reminding based on intelligent equipment
CN106310588A (en) * 2015-06-16 2017-01-11 杭州启望科技有限公司 Running machine stride frequency and impact detection method and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2475429Y (en) * 2000-12-11 2002-02-06 黄炳辉 Control panel for treadmill
CN1861227A (en) * 2005-05-12 2006-11-15 辅祥实业股份有限公司 Treadlemill with step counting function, and step counting method
US20070149363A1 (en) * 2005-12-22 2007-06-28 Leao Wang Treadmill belt lubricating device for an electric treadmill
US20080207407A1 (en) * 2007-02-23 2008-08-28 Sing Lin Technology Co., Ltd. Exercise treadmill for additionally vibrating a user running or walking on a tread belt
CN201430692Y (en) * 2009-06-04 2010-03-24 北京天安信通科技有限责任公司 Wireless mobile terminal with fall alarm prompt and pedometer function
CN103985224A (en) * 2014-04-09 2014-08-13 惠州Tcl移动通信有限公司 Method and system for detecting user fatigue and carrying out reminding based on intelligent equipment
CN106310588A (en) * 2015-06-16 2017-01-11 杭州启望科技有限公司 Running machine stride frequency and impact detection method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109559477A (en) * 2018-12-24 2019-04-02 绿瘦健康产业集团有限公司 Unmanned gymnasium indoor intelligent monitoring and managing method, device, terminal device and medium

Also Published As

Publication number Publication date
CN108280965B (en) 2019-09-13

Similar Documents

Publication Publication Date Title
CN108369646B (en) Multi-sensor event detection and tagging system
CN108028902B (en) Integrated sensor and video motion analysis method
US9406336B2 (en) Multi-sensor event detection system
US20150265903A1 (en) Social web interactive fitness training
US20150317801A1 (en) Event analysis system
US20190366154A1 (en) Physical activity training assistant
CN109558053A (en) A kind of method, mobile terminal and computer readable storage medium for adjusting screen and showing
CN103893960A (en) Cloud and terminal intelligent fitness equipment
CN106923839A (en) Exercise assist device, exercising support method and recording medium
CN106705989B (en) step recording method, device and terminal
Choi et al. MobyDick: an interactive multi-swimmer exergame
US20130210531A1 (en) Method and system for conducting interactive games
CN108465223A (en) A kind of science running training method and system based on wearable device
WO2017011811A1 (en) Event analysis and tagging system
Bishop et al. Jump and change of direction speed asymmetry using smartphone apps: Between-session consistency and associations with physical performance
CN108280965B (en) Detection alarm method based on cloud computing
CN109361722B (en) Detection alarm platform based on cloud computing
US11389698B2 (en) Fitness equipment control system, mobile apparatus and fitness equipment control method thereof
CN108654058A (en) A kind of anti-cheating system and method for middle-distance race match
CN106507121A (en) A kind of live method of control, VR equipment and unmanned plane
CN105920804A (en) Fitness equipment information networking system and fitness equipment information networking method
Yang et al. Optimization of sports training systems based on wireless sensor networks algorithms
US11024053B1 (en) User analytics using a mobile device camera and associated systems and methods
CN106581993A (en) Integrated analysis system and method of movement techniques of tennis player
Choi et al. Designing interactive multiswimmer exergames: a case study

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
CB02 Change of applicant information

Address after: 224025 No. 6 Tengfei Road West, Beijiang Street Office, Yandu District, Yancheng City, Jiangsu Province

Applicant after: Yang Jie

Address before: 065001 Block H, South Xinao Science Park, Huaxiang Road, Langfang Economic and Technological Development Zone, Hebei Province

Applicant before: Yang Jie

CB03 Change of inventor or designer information

Inventor after: Qi Yufeng

Inventor after: Zhao Fei

Inventor after: Feng Guirong

Inventor after: Yang Jie

Inventor before: Yang Jie

CB03 Change of inventor or designer information
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20190809

Address after: 550002 Flower Orchard Pengjiawan Flower Orchard Project, Nanming District, Guiyang City, Guizhou Province, Phase I, 16 buildings, 1 units, 28 units and 3

Applicant after: Xintongda Intelligent Technology Co.,Ltd.

Address before: 224025 No. 6 Tengfei Road West, Beijiang Street Office, Yandu District, Yancheng City, Jiangsu Province

Applicant before: Yang Jie

GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Detection and alarm method based on cloud computing

Effective date of registration: 20221026

Granted publication date: 20190913

Pledgee: Guiyang industrial Financing Guarantee Co.,Ltd.

Pledgor: Xintongda Intelligent Technology Co.,Ltd.

Registration number: Y2022980019782