CN108991697A - It is a kind of that luggage case method is followed based on Gait Recognition automatically - Google Patents
It is a kind of that luggage case method is followed based on Gait Recognition automatically Download PDFInfo
- Publication number
- CN108991697A CN108991697A CN201810884555.5A CN201810884555A CN108991697A CN 108991697 A CN108991697 A CN 108991697A CN 201810884555 A CN201810884555 A CN 201810884555A CN 108991697 A CN108991697 A CN 108991697A
- Authority
- CN
- China
- Prior art keywords
- module
- luggage case
- gait
- motor
- user
- 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.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A45—HAND OR TRAVELLING ARTICLES
- A45C—PURSES; LUGGAGE; HAND CARRIED BAGS
- A45C13/00—Details; Accessories
- A45C13/18—Devices to prevent theft or loss of purses, luggage or hand carried bags
-
- A—HUMAN NECESSITIES
- A45—HAND OR TRAVELLING ARTICLES
- A45C—PURSES; LUGGAGE; HAND CARRIED BAGS
- A45C15/00—Purses, bags, luggage or other receptacles covered by groups A45C1/00 - A45C11/00, combined with other objects or articles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
- G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Social Psychology (AREA)
- Psychiatry (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Rehabilitation Tools (AREA)
Abstract
The invention discloses a kind of to follow luggage case method based on Gait Recognition automatically.This method comprises: hardware system, mainly containing single-chip microcontroller, power module, obstacle avoidance module, follow module, motor module, alarm module (GPS, GPRS module), voice module automatically etc..Software systems: main module containing speech recognition program, Gait Recognition program module, motor program module, avoidance program module, alert program module etc..Its function is in illustrative view of functional configuration enumeration.The method for the gait information identification identity for analyzing people is applied to luggage case by the present invention, by the camera module for being embedded in luggage case, record the gait information of currently used person and compared with the gait information of user in monolithic hangar, if accuracy rate is higher than setting value, driving luggage case follows user mobile, otherwise sends warning information to user mobile terminal by alarm module.The present invention solves the problems such as existing luggage case is not portable, easy to be lost, for often go on business or the crowd of long-distance travel provide it is convenient.
Description
Technical field
The present invention relates to gait Recognition technology more particularly to a kind of luggage case method is followed automatically based on Gait Recognition.
Background technique
According to " 2017-2022 China's Bag-making industry market development prospect and the investment opportunity of the publication of Zhong Shang industrial research institute
Research report " show that Chinese luggage market scale can reach 63.8 hundred million dollars and has pole Chinese Bag-making industry to 2020
Big market.Furthermore Bag-making industry is inseparable with national daily life, and a kind of gesture is presented in Chinese luggage articles demand
The growth trend that can not be kept off.Luggage case Brought Chinese People trip facilitate while, also more or less there are many drawbacks: for example when
When luggage is more, it will cause luggage case and pull trouble.Although the luggage case of present most model also has built-in steamboat, can
It is pulled with pull rod, but there are still be not easy the disadvantages of turning.Current scientific and technological industry flourishes, and every field starts towards intelligence
The directions such as change, summary and hommization are developed.But in terms of luggage case industry, there is also design old stuff, shortcoming intelligence etc. is asked
Topic, occurs electric trunk in the market and solves the above problem to a certain extent, but human-computer interaction is not strong, and its is high
Price also allow most of consumer groups to see and hope it.Most importantly safety problem, what most of traditional suitcase used
It is mechanical code lock, unavoidable luggage case is stolen, and is difficult to be tracked and give for change after stolen or loss.
For above-mentioned traditional suitcase there are the drawbacks of, a kind of following automatically based on Gait Recognition of the invention patent meter
Luggage case.The invention in conjunction with traditional suitcase, can improve biography using computer vision, modern electronic technology to a certain extent
Above-mentioned drawback existing for system luggage case, especially in terms of convenient trip, safe antitheft, the present invention is especially prominent.
Summary of the invention
The present invention provides a kind of to follow luggage case method automatically based on Gait Recognition, will be believed by the gait of analysis people
The method of breath identification identity is applied to multifunctional electric luggage case, and by being embedded in the camera module of luggage case system, record is worked as
The gait information of preceding user and compared with the gait information of user stored in monolithic hangar, if accuracy rate is higher than setting
Value, driving luggage case follow user mobile, and the function that automatic obstacle-avoiding detours is completed in moving process.Simultaneously in order to reduce near
The influence of passerby, the stolen accuracy rate that may and improve identification devise benefit on the basis of the luggage case follows module automatically
Front a small range user's walking posture is recorded with camera, user's identity is identified by multiple Gait Recognition, if
Multiple recognition accuracy is more than or equal to setting value, then driving motor follows user mobile.It is set if multiple recognition accuracy is lower than
Definite value then sends warning information and position coordinates to user mobile terminal by GPS positioning and GPRS communication module.Solution of the present invention
The problems such as existing luggage case heaviness of having determined is not portable, easy to be lost, often to go on business or the crowd of more long-distance travel being needed to provide just
It is prompt.
The purpose of the present invention makes full use of modern biotechnology feature identification technique, modern electronic technology and traditional luggage case picture
In conjunction with the safety for improving luggage case simultaneously, improves traditional suitcase and carries the problems such as trip is inconvenient.
To achieve the goals above, the present invention provides a kind of follows luggage case method automatically based on Gait Recognition, should
Method includes (being specifically shown in Fig. 4):
1. initially set up user's gait pattern library, by camera record user be respectively at immediately ahead of luggage case it is to the left,
Gait information to the right;
2. the target in pair video carries out detection and tracking, it is partitioned into human body;
3. extracting gait feature from movement using computer vision and image procossing related algorithm;
4. test is compared with the gait pattern library that training has stored using classifier, to complete Gait Recognition;
5. if driving single-chip microcontroller controls motor towards user's movement repeatedly Gait Recognition is correct, constantly carry out in the process
Gait Recognition judges whether it is user, and adjusts luggage case moving direction;
6. automatically follow user during, if repeatedly Gait Recognition accuracy rate be lower than setting value, can by GPS,
GPRS module sends warning information and current luggage case coordinate to user's mobile phone.
Based on foregoing invention method, there is difference and contribution outstanding to be compared with the conventional method:
It is combined 1. the present invention relates to a kind of biological identification technologies with traditional suitcase convenience, passes through gait Recognition technology
Judge that the gait information of user identifies whether to set user, and driving motor follows user and adjust automatically movement side
To convenient often to go on business or needing the crowd of long-distance travel to provide.
It combines 2. the present invention relates to biological identification technologies with traditional suitcase safety, is judged by gait Recognition technology
The gait information of user identifies whether to set user, if then following user automatically, if not then passing through GPS, GPRS
Module sends alarm short message to users' mobile end, improves the safety of personal luggage during going on business or needing long-distance travel
Property.
Detailed description of the invention:
Technical solution of the present invention is described further below in conjunction with attached drawing.
Fig. 1 is Hardware Design block diagram of the invention.
Fig. 2 is invention software design cycle schematic diagram.
Fig. 3 is illustrative view of functional configuration of the present invention
Fig. 4 is gait Recognition technology of the present invention and traditional suitcase Integration Framework figure
Fig. 5 is integral perspective structural schematic diagram of the invention
Fig. 6 is the just preceding viewing angle constructions schematic diagram of cabinet in the present invention
Specific embodiment:
The object, technical solutions and advantages of the present invention will be discussed in detail by specific embodiment and attached drawing below.
Fig. 1 is Hardware Design block diagram of the invention, is embodied as follows:
Automatically the Hardware Design block diagram of luggage case, including single-chip microcontroller, Gait Recognition module, automatic obstacle-avoiding mould are followed
Block, power module, motor module, speech recognition module, alarm module.When system starts, at speech recognition module
In working condition, other modules are in init state, instruct other modules to start to work normally until issuing " advance ", the phase
If user issues other instructions again between, and System Priority executes corresponding instruction, and is again switched off other modules.Meanwhile
Gait Recognition module records front a small range user walking posture by camera and completes identification.If identification
Otherwise correct then driving motor closes motor, to realize the function of following automatically.Meanwhile obstacle avoidance module passes through photoelectric sensing
Whether device detection front set distance class has barrier, and motor module is controlled if having and turns left, turn right or falls back.Meanwhile working as row
The multiple Gait Recognition of Lee's case alarm module is not user, then sends alarm to user's mobile phone by GPS module and GPRS
Coordinate locating for information and luggage case.Automatic following system, speech recognition system, automatic obstacle-avoiding system can be divided into again according to its function
System, alarm system, electric system.
Fig. 2 is invention software design cycle schematic diagram, is embodied as follows:
Luggage case software design flow chart, including voice program module, motor program are followed automatically based on Gait Recognition
Module, avoidance program module, alert program module, Gait Recognition program module program.System starts each module power-on initialization
Working condition, when user issues advancement commands, luggage case Gait Recognition program module, avoidance program module, motor program
Control module is started to work, by the step for being placed in camera on luggage case (Gait Recognition program module) record front user
State information, and compared with the gait information of storage user, if accuracy rate is higher than setting value, driving motor follows user.Together
When, in order to reduce the influence of other pedestrians, gait Recognition technology is repeatedly utilized to judge whether user's gait information is used with storage
The gait information at family is identical, and records its accuracy rate, if accuracy rate is lower than certain setting value, by alert program module to making
User sends warning information and luggage case coordinate position.If avoidance program module detects that front certain distance is deposited during following
In barrier, drives luggage case to turn left, turn right or fall back avoidance.Stop referring to if speech recognition program module goes out during following
It enables, each module break-off of luggage case system, the working condition of the instruction control luggage case of waiting voice program module.
Fig. 3 is illustrative view of functional configuration of the present invention, and Fig. 5 is integral perspective structural schematic diagram of the invention, and Fig. 6 is the present invention
The just preceding viewing angle constructions schematic diagram of middle cabinet, is embodied as follows:
Can be divided into again based on the Intelligent luggage carrier of Gait Recognition by its function automatic following system, speech recognition system, from
Dynamic obstacle avoidance system, alarm system, electric system.The automatic following system is by telescopic bar 4, idler wheel (idler wheel 12, idler wheel
13, idler wheel 14, idler wheel 15), one-chip computer module 17, motor module 10, power module 9, Gait Recognition module 6 constitute.Institute's predicate
Sound identifying system is made of speech transducer LD3302 module, one-chip computer module 17, power module 9.The automatic obstacle-avoiding system
It is made of photoelectric sensor module 3, one-chip computer module 17, power module 9.The alarm system is existed by GPS module, GPRS module
Single-chip microcontroller 17, camera module 6 are constituted.The electric system has one-chip computer module 17, motor module 10 to constitute.The power supply mould
Block mainly has the composition of battery 9.Intelligent luggage carrier external structure based on Gait Recognition, including cabinet 1, be set to cabinet coded lock
6, telescopic bar 4, set on 1 bottom of cabinet idler wheel (idler wheel 12, idler wheel 13, idler wheel 14, idler wheel 15), further include motor module
10, power module 9, Gait Recognition module (camera 6), speech recognition module, obstacle avoidance module 3, GPS module 8, GPRS module
11.The power module mainly has the composition of battery 9.
Preferentially, the Gait Recognition module 6 is set to luggage case central top, is connected with single-chip microcontroller, is remembered by camera
The just preceding a small range user walking posture of record simultaneously completes identification.The driving motor if identification is correct, otherwise closes electricity
Machine, to realize the function of following automatically.
Preferentially, can photoelectric sensor in obstacle avoidance module by transmitting light beam and receive reflected light, judge that front is
It is no to have barrier.
Preferentially, in GPS module, GPRS module combination Gait Recognition module, if repeatedly being identified by multiple Gait Recognition
It is not user, then sends warning information and position coordinates to user's mobile phone terminal.
Claims (3)
1. a kind of follow luggage case method automatically based on Gait Recognition, the Hardware Design is comprised the following modules:
The single-chip microcontroller using ST company STM32F103 enhancing series, it acts as by the collected data of modules into
Row integrated treatment, output returns to each module or control motor after processing.
The power module use 6V, the battery of 4.5Ah, since direct current generator is the main energy-consuming parts of the luggage case,
Therefore the parameter of battery is mainly determined according to the parameter of direct current generator when selecting battery.Consider cost, the row
Lee's case uses LC-RO64R5 lead-acid accumulator.
The obstacle avoidance module uses E3F-DS30C4 optoelectronic switch (photoelectric sensor).The transmitting of E3F-DS30C4 optoelectronic switch collection
Head and reception head are reflected according to the light beam that emitting head issues by barrier in one, receive head according to whether there is or not receive reflected light
Whether beam judges has barrier.When there is light to reflect, low level is exported, indicates clear;When there is no light
When reflecting, high level is exported, indicates barrier.Single-chip microcontroller makes corresponding control according to the height for receiving head level, keeps away
Exempt from luggage case and encounter barrier, since reception pipe exports Transistor-Transistor Logic level, is conducive to processing of the single-chip microcontroller to signal.
The Gait Recognition module passes through the just preceding a small range user walking posture of camera record and completes identity and knows
Not.The driving motor if identification is correct, otherwise closes motor, to realize the function of following automatically.
The motor module uses L298N dual H-bridge DC motor driver.This driving supply district 5v-7v, maximum power
20W.This module can control 2 the positive and negative of direct current generator and stop.The design uses rear wheel drive, therefore one piece of L298N dual H-bridge direct current
Motor driver can be met the requirements.
Speech recognition module LD3320 module chip, " speech recognition " for being designed and being produced by ICRoute company refer to
Determine chip.Such chip is made of the outer circuits of speech recognition CPU and part, including DA and AD converter, MIC audio input,
Audio output port etc..Such voice recognition chip is focused on energy saving in design and is improved efficiency, and does not have to again external another
Other companion chips such as Flash are connect, directly configuration can complete sound control, speech recognition, people in current product
Machine communication function, also, the identification keyword repertorie of such chip arbitrarily can be edited dynamically, convert speech information into
Data, real-time control electric trunk.The content of this secondary design is to pass through 5 fingers of design using LD3320 voice control as core
It enables: advancing, pause, retreat, turn left, turning right to control electric trunk.
The alarm module increases GPS positioning and GPRS communication module on the basis of above-mentioned Gait Recognition module, to reduce
The influence of neighbouring passerby prevents accuracy that is stolen and improving identification, using multiple gait recognition method, if repeatedly identification is not
For user, then warning information and position coordinates are sent to user's mobile phone terminal.
2. a kind of follow luggage case method automatically based on Gait Recognition, the software system design is comprised the following modules:
The speech recognition program module, when system starts, only speech recognition module and power module are started to work, other
Module is in init state.At this point, 3 elementary instructions issued by user: starting, pause, close to control row
Lee's case moving condition.When executing advancement commands, Gait Recognition module, obstacle avoidance module, alarm module, motor control module are opened simultaneously
Beginning work is completed to follow automatically in the process, the functions such as automatic obstacle-avoiding, safety guarantee.When executing pause command, then system is in just
Beginning state waits next subcommand control luggage case.When executing shutdown command, then whole system is closed, waits hand next time
Dynamic opening system.
The motor control program module, luggage case are in motion process, motor control module by Gait Recognition module, keep away
Barrier module and voice module control, when Gait Recognition is default user, driving motor follows user.If detecting in the process
There is barrier, the functions such as driving motor left-hand rotation, right-hand rotation, retroversion complete avoidance.If user issues stopping or out code in the process,
Motor control module stops working, next subcommand of waiting voice identification module.
The avoidance program module, if having detected barrier in luggage case moving process, driving motor turns left, is right
Turn, fall back etc. functions complete avoidance.
The Gait Recognition program module, after luggage case is connected to speech recognition module sign on, luggage case was moved forward
Front pedestrian's gait is recorded in journey and is compared with the gait information of storage, for the influence for reducing other pedestrians, is repeatedly compared,
Follow default person mobile if comparison accuracy rate is higher than setting value, that is, driving motor.
The alert program module, is in motion process in luggage case, if Gait Recognition module repeated detection is to front row
People is not owner, i.e., inconsistent with information in storage gait library, then automatic closing system, and passes through alarm module (GPS, GPRS
Module) warning information and current luggage case coordinate are sent to users' mobile end in real time, so that user gives for change.
3. a kind of follow luggage case method based on Gait Recognition automatically, the function system design includes following system:
The automatic following system is by telescopic bar, idler wheel, one-chip computer module, motor module, power module, Gait Recognition mould
Block is constituted.
The speech recognition system is made of speech transducer LD3302 module, one-chip computer module, power module.
The automatic obstacle-avoiding system is made of photoelectric sensor module, one-chip computer module, power module.
The alarm system is made of GPS module, GPRS module in single-chip microcontroller, camera module.
The electric system has one-chip computer module, motor module to constitute.The power module mainly has battery composition.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810884555.5A CN108991697A (en) | 2018-07-27 | 2018-07-27 | It is a kind of that luggage case method is followed based on Gait Recognition automatically |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810884555.5A CN108991697A (en) | 2018-07-27 | 2018-07-27 | It is a kind of that luggage case method is followed based on Gait Recognition automatically |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108991697A true CN108991697A (en) | 2018-12-14 |
Family
ID=64594933
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810884555.5A Pending CN108991697A (en) | 2018-07-27 | 2018-07-27 | It is a kind of that luggage case method is followed based on Gait Recognition automatically |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108991697A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112046662A (en) * | 2020-08-13 | 2020-12-08 | 哈尔滨工业大学(深圳) | Walking-replacing following robot and walking-replacing following method thereof |
CN115112508A (en) * | 2022-08-29 | 2022-09-27 | 民航成都物流技术有限公司 | Device and method for identifying soft and hard bags of consigned luggage in civil aviation airport |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101609507A (en) * | 2009-07-28 | 2009-12-23 | 中国科学技术大学 | Gait recognition method |
CN107019316A (en) * | 2017-05-31 | 2017-08-08 | 吕乐杨 | A kind of high energy wallet |
CN207613336U (en) * | 2017-11-21 | 2018-07-17 | 李略武 | Small footman's fully-automatic intelligent luggage |
-
2018
- 2018-07-27 CN CN201810884555.5A patent/CN108991697A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101609507A (en) * | 2009-07-28 | 2009-12-23 | 中国科学技术大学 | Gait recognition method |
CN107019316A (en) * | 2017-05-31 | 2017-08-08 | 吕乐杨 | A kind of high energy wallet |
CN207613336U (en) * | 2017-11-21 | 2018-07-17 | 李略武 | Small footman's fully-automatic intelligent luggage |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112046662A (en) * | 2020-08-13 | 2020-12-08 | 哈尔滨工业大学(深圳) | Walking-replacing following robot and walking-replacing following method thereof |
CN112046662B (en) * | 2020-08-13 | 2023-01-17 | 哈尔滨工业大学(深圳) | Walking-replacing following robot and walking-replacing following method thereof |
CN115112508A (en) * | 2022-08-29 | 2022-09-27 | 民航成都物流技术有限公司 | Device and method for identifying soft and hard bags of consigned luggage in civil aviation airport |
CN115112508B (en) * | 2022-08-29 | 2023-01-24 | 民航成都物流技术有限公司 | Device and method for identifying soft and hard bags of consigned luggage in civil aviation airport |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107139179B (en) | Intelligent service robot and working method | |
CN105700363B (en) | A kind of awakening method and system of smart home device phonetic controller | |
CN204542562U (en) | A kind of intelligent blind glasses | |
CN102932212A (en) | Intelligent household control system based on multichannel interaction manner | |
CN103530892B (en) | A kind of both hands tracking based on Kinect sensor and device | |
CN108406848A (en) | A kind of intelligent robot and its motion control method based on scene analysis | |
CN104464152A (en) | Valuable anti-theft system and method based on human face recognition and RFID | |
CN205696218U (en) | A kind of Intelligent luggage carrier | |
CN101825947A (en) | Method and device for intelligently controlling mobile terminal and mobile terminal thereof | |
CN108991697A (en) | It is a kind of that luggage case method is followed based on Gait Recognition automatically | |
CN101980305A (en) | Face identification and 3G communication-based intelligent household access control system | |
CN104309964A (en) | Voice control intelligent garbage can based on acoustic vector sensor | |
CN102915434A (en) | Face recognition system based on low-consumption embedded platform | |
CN106695849A (en) | Sensing, controlling and performing system for greeting security service robot | |
CN102306234A (en) | Meteorological popular science robot system | |
CN105662744A (en) | Embedded type multimodal interaction intelligent wheelchair control system | |
CN106516506A (en) | Intelligent garbage can capable of being remotely controlled | |
CN104503321A (en) | Ultralow-power wireless intelligent control system for body sensing or voice control | |
CN203552272U (en) | Fingerprint identification device | |
CN109272670A (en) | Running type Intelligent storage cabinet | |
CN108845667A (en) | A kind of awakening method and its system of intelligence penny bank | |
CN202584048U (en) | Smart mouse based on DSP image location and voice recognition | |
CN111268328A (en) | Power saving control method and device based on voice intelligent garbage can | |
CN209579578U (en) | Robot and robot system | |
CN109998874A (en) | A kind of intelligent blind-guiding device |
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 | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181214 |
|
WD01 | Invention patent application deemed withdrawn after publication |