CA2212742A1 - Paced iterative decision training system and method - Google Patents

Paced iterative decision training system and method

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Publication number
CA2212742A1
CA2212742A1 CA 2212742 CA2212742A CA2212742A1 CA 2212742 A1 CA2212742 A1 CA 2212742A1 CA 2212742 CA2212742 CA 2212742 CA 2212742 A CA2212742 A CA 2212742A CA 2212742 A1 CA2212742 A1 CA 2212742A1
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CA
Canada
Prior art keywords
lumber
events
dataset
series
grader
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.)
Abandoned
Application number
CA 2212742
Other languages
French (fr)
Inventor
Richard M. Brown
Douglas F. Taylor
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.)
ADVANCED CONTROL TECHNOLOGY Inc
Original Assignee
Individual
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Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2212742A1 publication Critical patent/CA2212742A1/en
Abandoned legal-status Critical Current

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Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/06Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • G09B5/065Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/04Sorting according to size
    • B07C5/12Sorting according to size characterised by the application to particular articles, not otherwise provided for
    • B07C5/14Sorting timber or logs, e.g. tree trunks, beams, planks or the like
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes

Abstract

Using the paced iterative decision training system and method, a grader (30) is presented a series of paced events (52) for the grader (30) to judge so that the grader's recorded assessment of the events are compared to a separate recorded assessment of the same events (54).
The separate recorded assessment may be created by a master grader or by the grader (30). The system and method provides a simulated environnemnt in which a grader's decision making skills can be tested and improved. Preferably, the system and method record a video of traveling pieces of lumber (21) using a camera (20) and video tape recorder/player (VTR/P) (22). An event detector (28) detects each piece of lumber (21) such that one piece of lumber (21) is graded per events. A computer controller (26) is able to determine the timing of each event based on synchronization (frame) signals from the VTR/P (22), and event signal from the event detector (28). The resulting video may be shown to a master grader, who grades each piece of lumber as it passes by on the video monitor (24). To learn how properly to grade or judge lumber (21), a trainee (30) sits at a grade entry station while a training program is replayed. The trainee (30) grades each piece of lumber (21) as it passes through the video frame. Later, the trainee's grading is compared to the master grader's baseline grading.
The net result of the system and method is a faster, less expensive method of training a trainee (30) than previously available.

Description

W O 97/22096 PCT~US96/19664 PAOEID llERATIVE DECISION TRAINING SYSTEM AND MEI ~OD
Technical Field This invention relates generally to training systems and m~thodc More particularly, this invention relates to ~l~c~ti~n~l andfor voc~tion~l training systems and mPthorl5 for improving the paced iterative decision-making ability of person who is lc~Luilcd to make quick a~ ces~ of r.h~n~ing events. Although the invention has broad utility, it has proven e~e~i;ally well suited for use in the context of a lumber grading/sorting training system and method.
~ackgrolmd Art ]L0 Many occup~tions and activities require quick and decisive evaluations of given events or a series of given events. Unfortunately, before a worker can cQn~ict~ntly make the proper evaluations of such events, the worker must have experience. However, tr~-litir,n~l training systems and meth~lc for providing the nPcec.c~ry experience are ,lle~ live and/or expensive. These tr;~dition~l systems and methods may include text '15 books, work books, pop quizzes, written ~x~r~ ;Qnc, oral c~ .";~ ;onc classples~ "iQnc, hands-on d~."~ Lions, lectures, flash cards, field trips, factory tours, and lalx,l~oly ~ ,elullents. While these are valuable and useful pe~ ogic tools, they are in.c~lffirient when it comes to developing a person's skill for making quick and accurate de~icionc Tr~-1iti~ n~lly, the best methods and systems for developing these skills are analogous to te~-~hing a student to swim by throwing the student into the water at the deep end. A student is placed into the role of a decision-maker within an actual workem,ilulullcll~ The student's de~ icionc are reviewed by an instructor who corrects the student's mict~k~s The student learns from the student's mict~k~c so that the student may ~5 perform better next time.
Disadvantages of such traditional training methods and systems is the expense of training a student in an opeldling work environment. It is expensive because the student is likely to make many errors that must be corrected. This activity reduces productivity and may lead to unnecessary safety and quality concerns. A training system and method is needed in which a student has the opportunity to learn and gain valuable CA 02212742 1997-08-ll e~,~iellce without working in an actual work environment and unn~cee~rily risking safety and quality.
Fx;1~..p'~.s of occup~tion~ and activities that require a quick and honed d~;c;on-making ability include a fish counter and a lumber grader. A fish counter identifi~
and counts the various species of fish that pass through a dam. A lumber grader de~ s the quality or grade of a piece of lumber as it travels past the grader at a grading station.
Lumber is sorted based on the quality or grade dt;Le""."ed by the grader upon visual inspection of the lumber as it travels past a grading station. The price at which the lumber may be sold is at least in part based on the grade ~cii~ed by the grader.
Grading lumber takes a high degree of skill and experience. Unfortunately, existing ways to train a novice grader are costly and time con~llming Lurnber grading systems exist that help improve the quality of lumber grading by rotating the piece of lumber so that the grader can see all sides of it before giving it a grade (such as U.S. Patent No. 3,759,384 to Holmberg et al.). However, no cost-effective training system exists to help new and existing graders gain valuable experience and thus, improve the overall quality of lumber grading. Since the quality of lumber grading is Illtim~t~.ly dependent upon the skill ofthe grader, a cost-effective training system and method is needed to help train new graders and hone the skill of experienced graders.
Disclosure of the Invention The invented training system and method solves the ~ iul~ed problems by introduction of a ~im~ tion of a series of events for a person to grade and a means of l~col~ g the grade of each event in the series for COIllp~hiSOll to one or more person's grades of the same series of events. In the invented training system and method, a grader is presented a series of paced events for the grader to judge. The graderls recorded ~es~",~,.l of the events are compared to a separate recorded ~c.c~ of the same events by the same or di~llL grader. The separate recorded s~s~e~ "l may be created by an master grader or by the same grader. A purpose of the training system and method is to provide a ~im~ ted envilul"llt;nL in which a grader's decision-making skills can be tested and improved. Typically, expert feedback is utilized to improve the novice grader's ability to assess, evaluate, judge or grade each event in a series events. A com~isoll of the I

W O 97/22096 PCTnUS96/19664 novice grader's 5~ C~ h.ll to a master grader's ~cs.occm~nt of the same series of events provides the expert feeclb~ek needed for the ~p,.,pliate pe~ c effect.
The invented training system and method has a potentially wide arplir~tif n It is p~re,~bly ~l~ci~P~ to help train lumber graders in a lumber sorting system. The training system and method reduces the time and expense required to train a novice grader.
The training system and method records a video of traveling pieces of lumber on a conveyor system using a camera and video tape recorder/player (Vl~/P), which may be coupled to a monitor. An event detector detects each piece of lumber so that one piece of lumber is graded per event. A comruter controller determines the timing of each event based on ~yncl~ ion (frame) signals from the VTR/P and an event signal from the event detector. The resulting video and recorded event il~l",~Lion is an event-cim~ tion (or simply a sim~ tion).
Plt;r~l~l)ly, the cimlll~tion is shown to a master grader in ~csoei~tion with a comrlter controller. The master grader sits at a grade entry station ~GES) and grades the pieces of lumber that pass by on the video monitor. Each event is graded by the macter grader and each event-associated grade is stored to produce a grade dataset. Thecim~ tit~n and the ~cco~qted dataset is a training program.
To learn how properly to grade or judge lumber, a trainee sits at a grade entry station while a training program is replayed. The trainee grades each piece of lumber as it passes through the video frarne. Later, the trainee's grading is colllpaled to the master grader's baseline grading. This process can be repeated with the same or difIèl~llL training programs as many times as desired. The net result of the system and method is a faster, less e~pensive method of training a trainee than previously available.
These and other advantages and objects of the present invention will be more readily understood after a con.cidçration of the dra~vings and the detailed descri~.Lio ofthe pl~r~ ;d embodiment which follows.
. BriçfDescription ofthe Drawin~s Fig. 1 is a general schematic bloclc diagram a training system, constructed in accoldallcç with a preferred embodiment.
Fig. 2 is a s~ ,c diagram of the training system of Fig. 1 showing the colllponellL~ usçd to record a video of a series of events.

W O 97/22096 PCTnJS96/19664 Fig. 3 is a sch~m~tic diagram of the training system of Fig. 1 showing the co..,l,onc;l,L~ used to present a video of a series of events and record the grader's evaluation of each event.
Fig. 4 is a fiow chart of a training method, in acccl~lallc,e with a pl~ert;ll~d5 embo~lim~ntq Detailed Description of the Drawin~s. Preferred Embodiment. and Best Mode for Carryin~ Out the Invention ~ Itho~lgh the preferred embodiment for the invention is described in the context of a lumber grading training system and method, those who are skilled in the art 10 will understand and appreciate that the invention has a potentially wide applic~ti~n to any e~ ~tion~l and/or vocational training system or method. The training system, in accc,lda~lce with a ple:rt;llc;d embodiment, is generally shown at 10 in E~ig. 1. In general, the training system inr.l~ldes an event-simulation subsystem 12, a plrsf~ ;on-and-entry s~ y~Lelll 14 and a controller 16.
Event-~im~ tic n subsystem 12 creates, produces and/or records any se ~ once of events (i.e., series of events) for playback later to a user of prÇs~nt~ti~ n-and-entry sul,~y~ ln 14. An l'event" is any action or thing that occurs during a p~li~;ular interval of time and a "series of events" is any sequ~n~e or succession of events. For ~ l le, a series of events may include pieces of lumber on a conveyance system, fish 20 passing through a dam, etc. An event has characteristics (i.e., properties, q~ itie~ etc.) that are capable of being objectively and/or subjectively determined by a person. A person's evaluation of the cll~ ile-i~lics of a piece of lumber is the piece's "grade". For fish passing through a dam, a person may quickly count the a,vplu~illlale number of fish of specific species passing through during a short time interval. Preferably, the ~im~ tion created by 25 event-sim~ tion subsystem 12 is a video leco,dillg of an actual series of events.
Alternatively, the simlll~tion may be an animation (hand-drawn or computer-g~l.el~Led)~
slide show, virtual reality, etc. The event-~im~ tion subsystem p,e~el~ly includes a video carnera, a VT~/P, a video monitor, and an event detector.
Pl~s~ )n-and-entry subsystem 14 receives the sim--l~tion from the event-~im~ ti~n~ubsy~L~lll and ~.~s~ it to the user. The user views the ~imlll~tiQn and W 097/22096 PCTnUS96/I9664 enters a grade for each event. The p~sel~ ion-and-entry S~y~ pl~;rc;l~ly includes a video monitor, a VI~IP, and a grade entry station.
Controller 16 coordinates and controls the event-sim~ tion sub~y~lem and the pr~;c~ ion and-entry sul)~y~ell~. The controller tlictin~lich~os between individual events based on a signal from an event detector. It also ~ccori~tes and stores the user's grades with the proper events. After two or more ev~ tionc of the same cimlll~tinn, the cul~Ll~lle. ccm~ s the ev~ tinnc and reports the results. Plt;re~ly, the cc,llL,olle, inr1~ldes a computer (with a processor and memory/storage systems) and a display.
Figs. 2 and 3 show the preferred embodiment of the training system in more ] 0 detail than shown in Fig. 1. The preferred embodiment of the training system and method ope,~Les in two basic modes: production mode and grading mode.
Fig. 2 shows the training system in the production mode. When operated in the pr~clucti~ n mode, the preferred embodiment of the invention includes a high rocollltinn video camera 20 and a video tape recordel/~,ldyel (Vl~/P 22) which collectively record ] S video images of pieces 21 of lumber on a conveyer system 23 as they travel seriatim past a grader 30. A video monitor 24 may be ~tt~ch~d to the ~IR/P. In Fig. 2, monitor 24 shows an ."~l.,)lo of one frame of the video tape being recorded on the VTRIP. The mûl~lLor shows pieces 21 of lumber on conveyer system 23. While taping, the Vl~/P sends frame .l~lllla~ion to compllter 26. The comrutçr may have display 27 ~tt~rh~d thereto.
~0 In the preferred embodiment, no video images are stored on the computer.
It is n~cç~ .y- to determine when each event takes places so that the events may be graded individually. In the preferred embodiment, each event is piece 21 of lumber travelling seriatim (i.e., one-after-another) by conveyance system 23. An event detector 28 (pl~l~bly, in the form of a progl~ --able logic circuit (PLC)) detects and dt;l~l"l,l~es when a new piece of lumber may be graded and sends an event signal to computer 26.
Event detector 28 is used to provide grade zone timing definition (an event signal~ to the C comI ~~t~r 26. The event timing signal is to be provided from the conveyance system 23 controller (typically a discrete output from a PLC) which signals when a new piece of lumber has been presented for grade inspection to the grader 30. The pairing of the event 30 timing signal for grade entry coupled with the VTR/E' fiame i"ro...~ ;on provides ~iy~cl~ it)n of the board video image and its associated dataset which is stored by the W O 97/22096 PCT~US96/19664 c mrut~r 26. Based on the event signal sent by PLC 28 and the frame il~lll~Lion sent by VI~/P 22, c~-mp~ltPr 26 detPrmines when each event occurs. The frame and event illru~ ;on is stored in the comrut~rs primary and/or secondary memory systems. For ~ lle, frames 90-150 may be a first event, frames 151-209 may be a second event,frames 210-275 may be a third event, and so forth.
The resulting co~ aLion of the video tape of the series of events and the frame and event il~ll,lalion stored on the computer is called a ~im~ tion program. A
cim~ tion program may last any given length of time. Preferably, a sixty to ninety minute program is used to he1p train lumber graders.
Fig. 2 also shows a grader 30 using grade entry station (GES) 32 or any other data entry station. The grader and GES is not necess~ry for the production mode;
however, the production mode and grading mode may occur concurrently. Thus, the grader may view and grade the pieces of lumber on the conveyer system while a ~im~ tion program is being produced using the same pieces of lumber. The grader's grade may be ~c~oc;~tecl with each event as it occurs.
Fig. 3 shows the training system in the grading mode. Grader 30 using grade entry station 32, views a ~imlll~tic)n program on video monitor 24. The video on the video monitor is produced by Vl~/P 22. The V~/P sends a signal to comr~-t~r 26 that include frame il~llll~ion on the ~im~ ti-~n prograrn being viewed by the grader.Each event (i.e., pieces of lumber) is presented to the grader at paced, defined time intervals. This means that the time intervals have a defined ~i.e., pre-selected) length and are s~pal~le from each other. There should be little or no overlap between time intervals for events. In the preferred embodiment, the interval of time for each event is generally the same. Typically, the time interval in which each piece of lumber is pl~sellLed to the grader for grading will vary according to the speed c~pahilities of the conveyance system as well as the desired visual inspection grading rates. In lumber grading a~plic~l;Qm this timing interval is typically between .5 to 1.0 seconds for each board event. Also, the GES sends a signal to the computer indicating the grade d~ign~te~ and entered by the grader. Based on the frame il~,l,ldlion sent by the Vl~/P and the stored associated frame and event i~ ion, the computer associates the grader's grade with each event of the ~im~ tion program.

I

Preferably, the comp~tçr is an mM-Go.1.r~ le comruter with a primary memory system (i.e., RAM) and secondary memory systems (e.g., floppy and hard disk drives). The ccmruter also p~t;;r~ly includes a KIETH~EY METRABYIE 9~ port VO
(input/output) card. Grade entry station 32 and P~C 28 are conne~ted to the comruter via S this I/O card.
In 1umber sorting systems, there are two common means of entering a grade for a piece of lumber. The first means is depicted in Fig. 3 and to some extent in Fig.
2. The grader mans a GES and pushes buttons that indicate the grade of the piece of lumber that the grader is viewing. The GES is typically a keyboard similar the GES 32 10 shown in Figs. 2 and 3. The other commcn grade-entry means is where the grader personally turns over each piece of lumber to inspect it closely. Once the grader d~Le~ es the piece's grade, the grader writes the grade on the piece itself. The grade is optically scanned into a comrl~ttor so that the piece may be properly sorted The ~ f;l-ed embodiment may utilize the both co~lnlon grade-entry ]!5 means. The first has been tii~c~ ed above. Alternatively, the second col".1~ol1 grade entry system of personal inspection and hand writing the grade may be utilized. The grader enters the grade of each piece by using a tablet entry system. GES 32 would include a tablet entry system on which the grader's writes symbols in(liç~ting specific grades. The GES and/or the com~n~ter translates the grader's written symbols into grades that can be 20 stored in the dataset.
When the training system is in the grading mode, a grader views a program and grades each event to produce a dataset. Preferably, the dataset includes the grader's grade of each event in the program. Once at least two datasets are created for a program, they may be co",~ d. The computer compares the datasets and the results are stored in 25 the computer and ,~lt;ft;l~ly displayed on display 27.
The co~ aled datasets may be created by the sarne grader or by difre,~"L
graders. When training a novice grader (i.e., trainee), it is desirable to use a master grader to create a master or baseline dataset for the simulation program. The trainee can learn from the trainee's mi~t~kçs by viewing a report on the differences between the trainee's 30 dataset and the master dataset. From such comparison, the trainee can learn how to grade better by c ~ g how his evaluation of the events COIl~ ;S to a master grader's i CA 02212742 1997-08-ll W O 97122096 PCTnJS96/19664 eva~uation of the same events. Also, this system may be used by a single grader multiple times. A grader may improve ~ y in grading by comparing the grader's evaluation ofthe same events.
In Fig. 4, the preferred embodiment of the invented t~aining method is shown. The method starts at 50. At 52, the grader is first presented a series of events. At 54, the grader first evaluates the characteristics of each event. At 56, the grader first enters such evs~ ti~n~ At 58, the grader's ev~ tion~ of each event of the series are first stored, thereby producing a first dataset. The resulting first dataset is shown at 59.
At 60, the training method determines whether a second dataset exists. If so, the first and second datasets are co~ a,ed at 70. Otherwise, a second dataset must be created; therefore, at 62, a second presentation of a series of events is given to the same or di~ele." grader. At 64, the grader does a second evaluation of the characteristics of each event of the same series of events. At 66, the grader does a second entering of such evaluations. At 68, the grader's evaluations are stored to produce a second dataset. The second dataset is shown at 69. At 60, the answer to the whether a second dataset exist must be "yes" because a second dataset was created in steps 62-68. Next at 70, the first and second datasets are co~ )~ed. At 72, inro.llla~ion based on the results based on such COIII~ 1C is reported and such report may include storing the i~-r~",.~ ;cn for later retrieval. The training method ends at 74.
Of course, those who are skilled in the art understand and ap~ ,;aLe that the des~rirti~ n above describes the preferred embodiment and the drawing and does not limit the spirit and scope of the invention. Other possible alternative embotlim~nt~ exists.
For example, rather can video taping actual events to produce the cim~ tiQn, a computer can create a virtual reality (VR) envi,~ llwlL. Using a VR scenario, the user would don a VR helmet and glove. The user would see computer-generated three-rlim~ncion~l images of events (such as pieces of lumber) and the GES. A computer would deL~ ine which virtual button the user was pressing to indicate the grade of the event. The VR scenario is only given as an example, but other possible modifications may be made without departing from the soul and breadth of the invention.

Industrial Applicability The invented training method and system now may be understood to provide a method and system for training a grader to develop and improve the grader's ability to make decisions and ev~ln~ti~ nc under the pressure of time. Those who are skilled in the art will understand and appreciate that the invention has a potentially wide applic~ n to any e l~lc~tional and/or vor~tiQn~l training system or method.
Fx~mrlçs of training scenarios in which the invention is an appl~,p-ia~e and cost-effective training system and method include: grading pieces of lumber; grading pieces of wood veneer; counting fish passing through a darn; grading-the quality of finished or O processed goods on an a~ellll,ly line; grading the quality of raw products before entering a processing/assembly line; e,~ g x-rays of luggage at securitv check points; t;Y .~
medical test results; reviewing plays from sporting activities to judge the proper foul or penalty to call; reviewing plays in football games to determine the proper of~ensive or defensive audible; and any perception/observation testing.
While the p-'~;r~ d embodiment and best mode of the invention have been close-l variations and changes may be made without departing from the spirit and scope ofthe invention -

Claims

WE CLAIM:
1. A paced iterative decision training method for improving a user's decision-making ability, the method comprising:
presenting a first event to a user for a preselected time interval;
accepting a first decision by a user regarding one or more characteristics of the first event, such that the first decision is made substantially within the defined time interval that the first event is presented;
accepting a second decision by a user regarding one or more characteristics of the same first event, such that the second decision is also made substantially within the time interval that the first event is presented;
comparing the first and the second decisions; and reporting the results of the comparing step to the user as a way of improving the user's decision-making ability.
2. The method of claim 1 further comprising repeating said presenting, said accepting a first decision, said accepting a second decision, said comparing and said reporting steps for each event in a series of events.
3. A paced iterative decision training method comprising:
first presenting of a series of events at paced, defined time intervals;
first evaluating characteristics of each event of the series to produce an evaluation of each event;
first entering such evaluations at a data entry station;
first storing such evaluations entered at the data entry station to produce a first dataset which is associated with the series of events;
comparing such first dataset with a second dataset, wherein the second dataset includes evaluations of the same series of events; and reporting information based on results of said comparing step.
4. The training method of claim 3, wherein said reporting step includes storing the information that is based on results of said comparing step.

5. The training method of claim 3, wherein said reporting step includes displaying the information that is based on results of said comparing step.
6. The training method of claim 3 further comprising:
second presenting of the same series of events at paced, defined time intervals;second evaluating characteristics of each event of the series to produce an evaluation of each event;
second entering such evaluations at a data entry station; and second storing such evaluations entered at the data entry station to produce thesecond dataset which is associated with the series of events.
7. The training method of claim 6, wherein said first presenting first evaluating first entering and first storing steps occur before said second presenting, second evaluating, second entering and second storing steps.
8. The training method of claim 6, wherein said first presenting, first evaluating, first entering and first storing steps occur after said second presenting, second evaluating, second entering and second storing steps.
9. The training method of claim 6, wherein said first presenting, first evaluating, first entering and first storing steps occur substantially concurrently with said second presenting, second evaluating, second entering and second storing steps.
10. A paced iterative decision training system comprising:
a presentation system for presenting a series of events at paced, defined time intervals;
an entry device operatively connected to said presentation system, said entry device configured for a user to enter an evaluation of characteristics of each event of the series;
a storage device operatively connected to said entry device for storing such evaluations to produce a first dataset which is associated with the series of events;
a comparator operatively connected to said storage device, said comparator configured to compare such first dataset with a second dataset, wherein the second dataset includes evaluations of the same series of events; and a display system operatively connected to said comparator, said display system being configured to provide information based on said comparator's comparison of the first and second datasets.

11. The training system of claim 10, wherein said presentation system includes a video display operatively connected to a video reproduction system, wherein the video reproduction system generates visual images of the series of events from a prerecorded video medium, the series of events being stored on the prerecorded video medium.12. The training system of claim 10, wherein said presentation system includes a video display operatively connected to a graphics computer system, wherein the graphics computer system generates computer-generated visual images of the series of events.
13. The training system of claim 10, wherein the storage device stores information based on said comparator's comparison of the first and second datasets.
14. A paced iterative decision training system for developing or honing the skill of a user who must make quick decisions regarding a series of events, wherein each event appears before the user at paced, defined time intervals, training system comprising:
a presentation system for presenting the series of events;
an input device associated with said presentation system, wherein the user enters evaluations of each of the events via said input device;
a recording system associated with said presentation system and said input system, said recording system recording each evaluation such that a first dataset is produced;
a comparison processor for comparing the first dataset with a second dataset, wherein the second dataset includes evaluation of the same series of events and said comparison processor is associated with said recording system; and a storage system for storing information based on results produced by said comparison processor upon comparing the first and second datasets, wherein said storage system is associated with said comparison processor.
15. The training system of claim 14 further comprising a display system associated with said storage system, wherein said display system presents the information which is stored in said storage system.
16. The training system of claim 14, wherein said presentation system includes a video display operatively connected to a video reproduction system, wherein the video reproduction system generates visual images of the series of events from a prerecorded video medium, the series of events being stored on the prerecorded video medium.

17. The training system of claim 14, wherein said presentation system includes a video display operatively connected to a graphics computer system, wherein the graphics computer system generates computer-generated visual images of the series of events.
18. A paced iterative lumber-grading training method for developing and/or honing the skill of a lumber grader who quickly grades pieces of lumber traveling seriatim on a conveyer system at a substantially regular pace, lumber-grading training method comprising:
presenting to the user pieces of lumber traveling seriatim;
grading each piece of lumber as each is presented to the grader;
entering a grade for each piece;
recording the grades of the pieces of lumber such that a first dataset is produced;
comparing the first dataset with a second dataset, wherein the second dataset includes grades of the same pieces of lumber; and reporting information based on results produced by said comparing step.
19 A paced iterative lumber-grading training system for developing and/or honing the skill of a lumber grader who must quickly grade pieces of lumber traveling seriatim on a conveyer system at substantially regular pace, lumber-grading training system comprising:
a presentation system for presenting the pieces of lumber traveling seriatim;
an input device associated with said presentation system, wherein the grader enters a grade for each piece via said input device;
a recording system associated with said presentation system and said input system, said recording system recording grades of pieces of lumber such that a first dataset is produced;
a comparison processor for comparing the first dataset with a second dataset, wherein the second dataset includes grades of the same pieces of lumber said comparison processor is associated with said recording system; and a storage system for storing information based on results produced by said comparison processor upon comparing the first and second datasets, wherein said storage system is associated with said comparison processor.

20. The lumber-grading training system of claim 19 further comprising a display system associated with said storage system, wherein said display system presents the information which is stored in said storage system.
21. The lumber-grading training system of claim 19, wherein said presentation system includes a video display operatively connected to a video reproduction system, wherein the video reproduction system generates visual images of the pieces of lumber traveling seriatim from a prerecorded video medium.
22. The lumber-grading training system of claim 19, wherein said presentation system includes a video display operatively connected to a graphics computer system, wherein the graphics computer system generates computer-generated visual images of the pieces of lumber traveling seriatim.
CA 2212742 1995-12-12 1996-12-12 Paced iterative decision training system and method Abandoned CA2212742A1 (en)

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FR2769112B1 (en) * 1997-09-30 2002-11-29 Patrice Saunier LEARNING AND / OR CONTROL OF RULES AND / OR PROCEDURES
US6643652B2 (en) 2000-01-14 2003-11-04 Saba Software, Inc. Method and apparatus for managing data exchange among systems in a network
WO2001052054A2 (en) 2000-01-14 2001-07-19 Saba Software, Inc. Method and apparatus for a business applications server
AU2001229371A1 (en) 2000-01-14 2001-07-24 Saba Software, Inc. Information server
US7072934B2 (en) 2000-01-14 2006-07-04 Saba Software, Inc. Method and apparatus for a business applications server management system platform
US10481878B2 (en) 2008-10-09 2019-11-19 Objectstore, Inc. User interface apparatus and methods

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US4992949A (en) * 1989-01-27 1991-02-12 Macmillan Bloedel Limited Color sorting of lumber
JPH04357549A (en) * 1991-03-07 1992-12-10 Hitachi Ltd Education system
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