WO2009015444A1 - An athlete training aid - Google Patents

An athlete training aid Download PDF

Info

Publication number
WO2009015444A1
WO2009015444A1 PCT/AU2008/001175 AU2008001175W WO2009015444A1 WO 2009015444 A1 WO2009015444 A1 WO 2009015444A1 AU 2008001175 W AU2008001175 W AU 2008001175W WO 2009015444 A1 WO2009015444 A1 WO 2009015444A1
Authority
WO
WIPO (PCT)
Prior art keywords
training
athlete
attributes
aspects
aid
Prior art date
Application number
PCT/AU2008/001175
Other languages
French (fr)
Inventor
Joseph Shaw
Shaun Moxham
Geoff Harris
Original Assignee
Sports Optimisation Systems Pty Ltd
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 Sports Optimisation Systems Pty Ltd filed Critical Sports Optimisation Systems Pty Ltd
Priority to PCT/AU2008/001175 priority Critical patent/WO2009015444A1/en
Priority to AU2008101174A priority patent/AU2008101174A4/en
Publication of WO2009015444A1 publication Critical patent/WO2009015444A1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism

Definitions

  • This invention relates to an athlete training aid for an athlete partaking in a sport. More particularly, but not exclusively, the invention relates to an athlete training aid which provides the athlete or coach with importance ranked training aspects which the athlete and coach must concentrate on to expedite advancement of the athlete in the sport.
  • the invention relates to an athlete training aid for an athlete of a sport
  • the athlete training aid including: a profiling module which includes a repository of athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository of training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
  • the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects, and wherein the training module is operable to correlate training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
  • a training module which includes a repository of training activities and their correlation to the training aspects, and wherein the training module is operable to correlate training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
  • the athlete training aid isconfigured so that the repository of athlete attributes can be populated by a user of the athlete training aid.
  • the athlete training aid may be configured so that the repository of training aspects can be populated by a user of the athlete training aid.
  • the athlete training aid may be configured so that the repository of training activities can be populated by a user of the athlete training aid.
  • the training module provides for the coach to manipulate the strength of athlete's attributes as set out in the athlete's profile.
  • the training activities are specific to the sport.
  • the profiling module includes a repository of questions and their correlation to athlete attributes, and wherein answers to the questions are used to rank the athlete's attributes.
  • the profiling module includes correlation coefficients which set out the correlation between the questions and the athlete attributes, and wherein the profiling module is operable to calculate an attribute value for each of the athlete attributes, the attribute values being calculated as the sum of the products of: the correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
  • the assessment module includes correlation coefficients which set out the correlation between the athlete attributes and the training aspects, and wherein the assessment module is operable to calculate a training aspect need for each of the training aspects correlated to the athlete attributes, the training aspect need for each training aspect being calculated as the sum of the product of: the correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
  • the athlete training aid is configured to allow for the coach to manipulate the attribute values used to calculate the training aspect needs.
  • the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects set out as correlation coefficients, and wherein the training module is operable to calculate a training activity score for each of the training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: the correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
  • a training module which includes a repository of training activities and their correlation to the training aspects set out as correlation coefficients, and wherein the training module is operable to calculate a training activity score for each of the training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: the correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
  • the athlete training aid is configured for the coach to manipulate the correlation coefficients.
  • the questions are specific to an athlete's level in the sport or the type of athlete.
  • a method of aiding an athlete in training for a sport including the steps of: profiling the athlete through interrogation of one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and assessing the athlete by correlating training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, which ranked training aspects the athlete must focus in training to expedite advancement in the sport,
  • the method further comprises the step of correlating training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
  • the method of includes generating a training program using the ranked training activities.
  • the method of claim 15 further comprising the step of calculating an attribute value for each of the athlete attributes, the attribute value being calculated as the sum of the products of: a correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
  • the method further includes the step of calculating a training aspect need, the training aspect need being calculated as the sum of the product of: a correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
  • the method of claim 19, further including the step of calculating a training activity score for training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: a correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
  • a computer readable medium storing thereon computer executable instructions for providing an athlete training aid for an athlete of a sport
  • the athlete training aid including: a profiling module which includes a repository which is configured to be populated by athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository which is configured to be populated by training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
  • FIG. 1 shows a diagrammatic layout view of an athlete training aid in accordance with the invention
  • FIG. 2 shows a diagrammatic flow diagram of a computer system on which the athlete training aid of Figure 1 is implemented
  • FIG. 3 shows a diagrammatic view of the profiling module of the athlete training aid of FIG. 1 ;
  • FIG. 4 shows a diagrammatic view of the assessment module of the athlete training aid of FIG. 1 ; and FIG. 5 shows a diagrammatic view of a training module of the athlete training aid of FIG. 1.
  • an athlete training aid in accordance with the invention, is designated generally by reference numeral 10.
  • the athlete training aid 10 is in the form of a computer implemented program which comprises a profiling module 100, an assessment module 200, and a training module 300.
  • the athlete training aid 10 is implemented on a server or computer system 12 having a memory 14 (including a hard drive and random access memory) and a processor 16.
  • the athlete training aid 10 is implemented on a server or computer system 12 having a memory 14 (including a hard drive and random access memory) and a processor 16.
  • the athlete training aid 10 is implemented on a server or computer system 12 having a memory 14 (including a hard drive and random access memory) and a processor 16.
  • the athlete training aid 10 is implemented on a server or computer system 12 having a memory 14 (including a hard drive and random access memory) and a processor 16.
  • the user interface 10 is accessible by a coach or athlete via a user interface.
  • the user interface may either be a web page 20 accessible via the internet 22 (if implemented on a server connected to the internet) or a terminal 18 connected to the computer system 12.
  • a repository in the form of a data library 24 of tables is stored in the memory 14 of the computer system 12.
  • the profiling module 100 includes a table 102 in which sport specific questions for the coach and athlete are stored. .
  • the profiling module further includes a table 104 in which attributes for an athlete, which may be both general and specific to the sport, are stored.
  • the questions in the table 102 each have a number of related attributes associated therewith, which are correlated to each question.
  • the correlation of each attribute to a specific question is set out in a correlation matrix 106.
  • the tables 102, 104 and the matrix 106 are stored in the data library 24 in the memory 14 of the computer system 12.
  • the table 102 may be pre-populated with questions or a user of the training aid 10 may populate the table 102.
  • the table 104 may be pre-populated with attributes or a user of the training aid 10 may populate the table 104.
  • correlation matrix 106 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10. Examples of attributes are “fitness” and "power”. Correlation of questions to attributes will be explained with reference to the example attributes "fitness" and "power”. If a question which has a high correlation to the attribute "fitness” but less of a correlation to the attribute "power”, the attributes "fitness” and “power” are correlated to the question by correlation coefficients which are larger for "fitness” than for "power”. This is more easily explained by presenting part of the correlation matrix 106 in table form for an example question:
  • the correlation matrix 106 links each attribute to a number of questions by correlation coefficients. This is more easily explained by presenting part of the correlation matrix 106 in table form for an example attribute:
  • the profiling module 100 interrogates both the athlete and the coach by posing questions from the table 102 to them by means of a questionnaire 108 and receiving answers thereto.
  • the questionnaire 108 is presented on the terminal 18 or web page 20 and is answered interactively.
  • the questions are answered by choosing a positive integer value on a scale of (for example) between 1 and 9.
  • the respective upper and lower ends of the scale correspond to extremes of an answer to the question. For example, for questions "1 " may correspond to the extreme "never” and "9" to the extreme "always”.
  • the questions include statements which the athlete/coach responds to by choosing a positive integer value on a scale of agreement of between 1 and 9.
  • a profile 112 of the athlete by strength of attribute is obtained.
  • the profile 112 is determined by calculating attribute values for each of the attributes.
  • the process of calculating the attribute values for each attribute is designated by reference numeral 110.
  • the process is executed on the processor 16 of the computer system 12.
  • the attribute value for each attribute is the sum for all questions of the product of: the correlation coefficient between that attribute and question, and the scale answer for the questions. The calculation is best described as a mathematical formula: n
  • Attribute j value ⁇ w/ ⁇ ) * (scale answer for question Jc)
  • the correlation coefficients for attribute values are normalized during production so that the result of the attribute value calculation for each attribute is on a scale range between 1 and 9.
  • the attribute value for each attribute is indicative of the strength of that attribute. On the scale between 1 and 9, an attribute value of 1 is indicative of poor, 5 indicative of average and 9 indicative of excellent.
  • the profiling module 100 is further capable of identifying conflict in the way the coach and athlete perceive the athlete's attributes.
  • the attribute values are calculated for the coach's answers ("coach ranking") and again for the athlete's answers ("athlete ranking”). If there is a difference between the coach ranking and the athlete ranking for one of the attributes, which difference is larger than a predetermined allowable difference, that attribute is flagged as being in dispute. The coach and athlete are then asked to deliberate their answers to the questions linked to that attribute. This allows for re-assessment of questions where significant conflict is detected in the way the athlete and coach views the strength of an athlete's specific attribute.
  • the coach ranking is generally the set of attribute values that appear as the athlete profile 112. It may however be the athlete ranking or an average between the coach ranking and athlete ranking.
  • the coach is allowed to manipulate the set of attribute values in the profile 112 if he believes there is reason to do so.
  • the assessment module 200 uses the attribute values from the athlete profile 112 generated by the profiling module 100 as an input to generate a rank ordered list 206 of training aspects for the athlete. If the coach has manipulated the set of attribute values in the profile 112, it is this manipulated set of attribute values which are used in the assessment module 200.
  • the assessment module 200 includes a table 202 stored in the data library 24, of training aspects and a correlation matrix 204 of correlation coefficients linking the training aspects to each attribute.
  • the correlation coefficients link each attribute to one or more training aspects.
  • the correlation coefficient of each training aspect for the specific attribute depends on its correlation to the training aspects. For example, if the attribute "fitness" has a high correlation to the training aspect "V0 2 max" but less of a correlation to the training aspect "Lactate Threshold", the training aspects "VO 2 max" and “Lactate Threshold” are correlated to the attribute "fitness" by, for example, correlation coefficients of 0.7 and 0.2, respectively.
  • An example of an attribute and its related training aspects are set out in the table below :
  • each training aspect is linked to a number of attributes by correlation coefficients. This is more easily explained by setting the correlation matrix out in table form for an example training aspect:
  • the assessment module 200 calculates a training aspect need for each training aspect by summing of: the product of (the correlation coefficient between that training aspect and an athlete attribute) and (9 -the attribute value of the attribute); for all of the athlete attributes.
  • Training aspect (i) need ⁇ Vitf ⁇ * (9-Attribut ⁇ j value from profile 112)
  • the process of determining the training aspect need is designated by reference numeral 210.
  • the process is executed on the processor 16 of the computer system 12.
  • the correlation coefficients for trainings aspects are normalized during production so that the result of the training aspect need calculation for each training aspect is on a scale range between 1 and 9.
  • the training aspect need is indicative of the need for training of that training aspect.
  • an training aspect need value of 1 is indicative of the most training needed for that aspect, 5 indicative of average and 9 indicative of the least amount of training needed for that aspect.
  • the training aspect needs are sorted by result to provide a rank ordered list 206 of training aspects. This provides the coach and athlete an indication of the training aspects the athlete must concentrate on to better his/her performance.
  • a contribution report 208 is optionally generated by the assessment module 200.
  • the contribution report 208 shows how the training aspect needs were calculated for any of the training aspects. This can be a valuable aid to the coach to understand why a specific training aspect is ranked higher or lower than any other aspect.
  • the table 202 may be pre-populated with training aspects or a user of the training aid 10 may populate the table 202.
  • correlation matrix 204 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10.
  • the training activity module 300 uses the training aspect need values of the rank ordered list 206 as an input to generate a rank ordered list 306 of training activities for the athlete.
  • the training activity module 300 includes a table 302, in the data library 24, of training activities and a correlation matrix 304 of correlation coefficients linking the training activities to each training aspect.
  • the correlation coefficients link each training activity to one or more training aspects.
  • the correlation coefficient of each training activity for the specific training aspect depends on its correlation to the training aspects.
  • the training aspect "Lactate Threshold” has a high correlation to the training activity "Spin Bike 5 mins @ 90% MHR” but less of a correlation to the training activity "Spin Bike 5 mins @ 80% MHR”
  • the training aspect "Lactate Threshold” is correlated to "Spin Bike 5 mins @ 90% MHR” and "Spin Bike 5 mins @ 80% MHR” by correlation coefficients (for example) of 0.8 and 0.05, respectively.
  • correlation coefficients for example
  • each training activity is linked to a number of training aspects by correlation coefficients. This is more easily explained by setting part of the correlation matrix out in table form for an example training activity:
  • the training module 300 is operable to generate the rank ordered list 306 of training activities using the training aspect needs and the correlation coefficients linking the training aspects and the training activities.
  • the training module 300 calculates a training activity score for each training activity by summing of: the product of training aspect needs with the correlation coefficients of that training activity.
  • the process of determining the training activity scores is designated by reference numeral 310.
  • the process is executed on the processor 16 of the computer terminal 12.
  • the training activity scores are used to index the rank ordered list 306 of training activities for the athlete.
  • the rank ordered list 306 of training activities sets out training activities sorted by importance for training.
  • This list 306 of training activities can be used by the coach to prepare a training schedule 308 to train the athlete as per his profile.
  • the applicant envisages that the training schedule 308 may be automatically generated by the training module 300 from the list 306 of training activities.
  • the table 302 may be pre-populated with training activities or a user of the training aid 10 may populate the table 302.
  • correlation matrix 304 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10.
  • the training aspect scores may be calculated in one of two ways: a) direct using a compound formula to calculate a training aspect score or b) reverse calculating an aspect score from assessment of assessable training activities.
  • direct calculation of training aspect scores the athlete and coach are required to answer the questions correlated to the attributes which are correlated to the training aspect being scored.
  • Direct calculation of training aspect scores uses the following compound formula:
  • Comparison between the calculated training aspect score and the previously calculated training aspect need, provides the coach and athlete with a measurable way of tracking the progress or regress of the athlete.
  • certain training activities are assessable and will be flagged as such.
  • the assessable training activities are scored and the scores derived from such assessable training activities are used to calculate the training aspect scores.
  • the reverse calculation uses the scores obtained for the training activities and coefficients derive form the matrix 304 of correlation coefficients linking the training activities to each training aspect.
  • the raining aspect scores are compared to the calculated training aspect needs to thereby give an indication of whether there is a need for re-profiling. Although such a comparison will highlight a need for re-profiling, it is ultimately the decision of the coach to re-profile the athlete.
  • Re-profiling is done in the same manner as described for the profiling which is initially performed.
  • the questions during re-profiling may be the same as the original questions asked. Alternatively, the questions may be specific for an athlete that has moved to a higher level or age group in the sport. Any new profile generates a new training aspect list 204 and training activity list 304 as per the new athlete profile.
  • the data library 24 is customizable by the coach in that the coach can add or delete questions to the table 102, change correlation coefficients of the correlation matrices 106,204, 304 and add or delete attributes, training aspects and training activities form the tables 104, 202, 302.
  • the coach may thus have the athlete training aid 10 set up differently for each athlete, level of athlete or type of athlete (for example male or female).
  • the data library 24 will also be different for different sports.
  • the questions in the table 102, the correlation coefficients of the correlation matrices 106,204,304 and the attributes, training aspects and training activities in the tables 104,202 and 302 will depend on what is input by a user of the athlete training aid for a particular sport.

Landscapes

  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

An athlete training aid (10) comprises a profiling module (100), an assessment module (200) and a training module (300). The profiling (module 100) includes a repository of athlete attributes. The profiling module (100) profiles the athlete through interrogation of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes. The assessment module (200) includes a repository of training aspects and their correlation to the athlete attributes. The assessment module (200) correlates training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects. The athlete must focus on the training aspects as per the ranking to expedite advancement in the sport. The training module (300) includes a repository of training activities and their correlation to the training aspects. The training module (300) correlates training activities to each of the athlete's training aspects to provide an importance ranking of training activities for the athlete to focus on.

Description

AN ATHLETE TRAINING AID
FIELD OF INVENTION This invention relates to an athlete training aid for an athlete partaking in a sport. More particularly, but not exclusively, the invention relates to an athlete training aid which provides the athlete or coach with importance ranked training aspects which the athlete and coach must concentrate on to expedite advancement of the athlete in the sport.
BACKGROUND TO THE INVENTION
As sport has become more professional, the pressure on athletes and coaches to perform has increased considerably. Both athletes and coaches appreciate the use of sports science techniques to advance the athlete in the sport. These include athlete management systems to aid in managing the performance of the athlete.
Known athlete management systems are mere logging and tracking aids into which raw performance data of the athlete is input to track the performance of the athlete overtime. For effective coaching it is necessary to understand the athlete and his profile to impart the correct information and set the correct profile dependant training activities for the athlete. Current athlete management systems are not set up to profile the athlete in order to identify training aspects the athlete must concentrate on or provide the athlete with selected training activities depending on his/her profile. Particular parameters of a sport on which an athlete must concentrate on can be highlighted by comparing performance results for those parameters of the athlete to reference performance results for the parameters. An example of such a comparison based athlete training aid is described in United States Patent 7,192,359. The athlete training aid described in this patent is only applicable to a sport (such as golf) which has a number of parameters (different shot types) which can be empirically measured. OBJECT OF THE INVENTION
It is an object of the invention to provide an athlete training aid which is operable to profile an athlete. It is a further object of the invention to provide an athlete training aid which aids the athlete and coach to focus on training aspects derived from the profile of the athlete.
It is yet a further object of the invention to provide an athlete training aid which provides the athlete and coach with training activities derived from the profile of the athlete.
It is still a further object of the invention to provide a computer readable medium storing thereon computer executable instructions for providing the athlete training aid in accordance with the above objects of the invention.
SUMMARY OF THE INVENTION
In one form, although not necessarily the only or broadest form, the invention relates to an athlete training aid for an athlete of a sport, the athlete training aid including: a profiling module which includes a repository of athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository of training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
Preferably, the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects, and wherein the training module is operable to correlate training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
Preferably, the athlete training aid isconfigured so that the repository of athlete attributes can be populated by a user of the athlete training aid. Similarly, the athlete training aid may be configured so that the repository of training aspects can be populated by a user of the athlete training aid. Similarly, the athlete training aid may be configured so that the repository of training activities can be populated by a user of the athlete training aid. Preferably, the training module provides for the coach to manipulate the strength of athlete's attributes as set out in the athlete's profile.
Preferably, the training activities are specific to the sport.
Preferably, the profiling module includes a repository of questions and their correlation to athlete attributes, and wherein answers to the questions are used to rank the athlete's attributes.
Preferably the profiling module includes correlation coefficients which set out the correlation between the questions and the athlete attributes, and wherein the profiling module is operable to calculate an attribute value for each of the athlete attributes, the attribute values being calculated as the sum of the products of: the correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
Preferably, the assessment module includes correlation coefficients which set out the correlation between the athlete attributes and the training aspects, and wherein the assessment module is operable to calculate a training aspect need for each of the training aspects correlated to the athlete attributes, the training aspect need for each training aspect being calculated as the sum of the product of: the correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
Preferably, the athlete training aid is configured to allow for the coach to manipulate the attribute values used to calculate the training aspect needs.
Preferably, the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects set out as correlation coefficients, and wherein the training module is operable to calculate a training activity score for each of the training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: the correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
Preferably the athlete training aid is configured for the coach to manipulate the correlation coefficients.
Preferably, the questions are specific to an athlete's level in the sport or the type of athlete.
According to another aspect of the invention, there is provided a method of aiding an athlete in training for a sport, the method including the steps of: profiling the athlete through interrogation of one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and assessing the athlete by correlating training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, which ranked training aspects the athlete must focus in training to expedite advancement in the sport,
Preferably the method further comprises the step of correlating training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete. Preferably, the method of includes generating a training program using the ranked training activities. Preferably, the method of claim 15, further comprising the step of calculating an attribute value for each of the athlete attributes, the attribute value being calculated as the sum of the products of: a correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
Preferably, the method further includes the step of calculating a training aspect need, the training aspect need being calculated as the sum of the product of: a correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
Preferably, the method of claim 19, further including the step of calculating a training activity score for training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: a correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
According to yet another aspect of the invention, there is provided a computer readable medium storing thereon computer executable instructions for providing an athlete training aid for an athlete of a sport, the athlete training aid including: a profiling module which includes a repository which is configured to be populated by athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository which is configured to be populated by training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport. BRIEF DESCRIPTION OF THE DRAWINGS To assist in understanding the invention and to enable a person skilled in the art to put the invention into practical affect, a preferred embodiment of the invention will be described by way of example only with reference to the accompanying drawings, wherein:
FIG. 1 shows a diagrammatic layout view of an athlete training aid in accordance with the invention;
FIG. 2 shows a diagrammatic flow diagram of a computer system on which the athlete training aid of Figure 1 is implemented;
FIG. 3 shows a diagrammatic view of the profiling module of the athlete training aid of FIG. 1 ;
FIG. 4 shows a diagrammatic view of the assessment module of the athlete training aid of FIG. 1 ; and FIG. 5 shows a diagrammatic view of a training module of the athlete training aid of FIG. 1.
DESCRIPTION OF THE PREFERRED EMBODIMENT With reference to Fig. 1 of the drawings, an athlete training aid, in accordance with the invention, is designated generally by reference numeral 10. The athlete training aid 10 is in the form of a computer implemented program which comprises a profiling module 100, an assessment module 200, and a training module 300.
With reference to Fig. 2, the athlete training aid 10 is implemented on a server or computer system 12 having a memory 14 (including a hard drive and random access memory) and a processor 16. The athlete training aid
10 is accessible by a coach or athlete via a user interface. The user interface may either be a web page 20 accessible via the internet 22 (if implemented on a server connected to the internet) or a terminal 18 connected to the computer system 12. A repository in the form of a data library 24 of tables is stored in the memory 14 of the computer system 12.
With reference to Fig. 3, the profiling module 100 includes a table 102 in which sport specific questions for the coach and athlete are stored. . The profiling module further includes a table 104 in which attributes for an athlete, which may be both general and specific to the sport, are stored. The questions in the table 102 each have a number of related attributes associated therewith, which are correlated to each question. The correlation of each attribute to a specific question is set out in a correlation matrix 106. The tables 102, 104 and the matrix 106 are stored in the data library 24 in the memory 14 of the computer system 12.
The table 102 may be pre-populated with questions or a user of the training aid 10 may populate the table 102. Similarly, the table 104 may be pre-populated with attributes or a user of the training aid 10 may populate the table 104. As such, correlation matrix 106 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10. Examples of attributes are "fitness" and "power". Correlation of questions to attributes will be explained with reference to the example attributes "fitness" and "power". If a question which has a high correlation to the attribute "fitness" but less of a correlation to the attribute "power", the attributes "fitness" and "power" are correlated to the question by correlation coefficients which are larger for "fitness" than for "power". This is more easily explained by presenting part of the correlation matrix 106 in table form for an example question:
Figure imgf000008_0001
Similarly, the correlation matrix 106 links each attribute to a number of questions by correlation coefficients. This is more easily explained by presenting part of the correlation matrix 106 in table form for an example attribute:
Figure imgf000008_0002
Figure imgf000009_0001
The profiling module 100 interrogates both the athlete and the coach by posing questions from the table 102 to them by means of a questionnaire 108 and receiving answers thereto. The questionnaire 108 is presented on the terminal 18 or web page 20 and is answered interactively. The questions are answered by choosing a positive integer value on a scale of (for example) between 1 and 9. The respective upper and lower ends of the scale correspond to extremes of an answer to the question. For example, for questions "1 " may correspond to the extreme "never" and "9" to the extreme "always". The questions include statements which the athlete/coach responds to by choosing a positive integer value on a scale of agreement of between 1 and 9. On the scale of agreement for statements, "1" may correspond to total disagreement with the statement, "5" to neutrality and "9" to total agreement with the statement. Questions are either positive or negative. The first three questions in the table above are negative and the last question is positive. A "scale answer" for each of the questions is determined depending on whether a question is negative or positive, as shown below: "Scale answer" for negative questions = 10- value chosen as answer. "Scale answer" for positive questions = value chosen as answer.
Using the scale answers to the questions and the correlation coefficients of attributes for each of the questions as per the matrix, a profile 112 of the athlete by strength of attribute is obtained. The profile 112 is determined by calculating attribute values for each of the attributes. The process of calculating the attribute values for each attribute is designated by reference numeral 110. The process is executed on the processor 16 of the computer system 12. The attribute value for each attribute is the sum for all questions of the product of: the correlation coefficient between that attribute and question, and the scale answer for the questions. The calculation is best described as a mathematical formula: n
Attribute j value = ^w/ω) * (scale answer for question Jc)
k = questions from 1 to n, n being the number of questions Wt(J1If) = correlation coefficient between attribute j and question k "Scale answer" for negative questions = 10- value between 1 and 9 chosen as answer.
"Scale answer" for positive questions = value between 1 and 9 chosen as answer.
The correlation coefficients for attribute values are normalized during production so that the result of the attribute value calculation for each attribute is on a scale range between 1 and 9. The attribute value for each attribute is indicative of the strength of that attribute. On the scale between 1 and 9, an attribute value of 1 is indicative of poor, 5 indicative of average and 9 indicative of excellent.
The profiling module 100 is further capable of identifying conflict in the way the coach and athlete perceive the athlete's attributes. The attribute values are calculated for the coach's answers ("coach ranking") and again for the athlete's answers ("athlete ranking"). If there is a difference between the coach ranking and the athlete ranking for one of the attributes, which difference is larger than a predetermined allowable difference, that attribute is flagged as being in dispute. The coach and athlete are then asked to deliberate their answers to the questions linked to that attribute. This allows for re-assessment of questions where significant conflict is detected in the way the athlete and coach views the strength of an athlete's specific attribute. The coach ranking is generally the set of attribute values that appear as the athlete profile 112. It may however be the athlete ranking or an average between the coach ranking and athlete ranking. The coach is allowed to manipulate the set of attribute values in the profile 112 if he believes there is reason to do so. As shown in Fig. 4, the assessment module 200 uses the attribute values from the athlete profile 112 generated by the profiling module 100 as an input to generate a rank ordered list 206 of training aspects for the athlete. If the coach has manipulated the set of attribute values in the profile 112, it is this manipulated set of attribute values which are used in the assessment module 200.
The assessment module 200 includes a table 202 stored in the data library 24, of training aspects and a correlation matrix 204 of correlation coefficients linking the training aspects to each attribute. The correlation coefficients link each attribute to one or more training aspects. The correlation coefficient of each training aspect for the specific attribute depends on its correlation to the training aspects. For example, if the attribute "fitness" has a high correlation to the training aspect "V02max" but less of a correlation to the training aspect "Lactate Threshold", the training aspects "VO2 max" and "Lactate Threshold" are correlated to the attribute "fitness" by, for example, correlation coefficients of 0.7 and 0.2, respectively. An example of an attribute and its related training aspects are set out in the table below :
Figure imgf000011_0001
Similarly, each training aspect is linked to a number of attributes by correlation coefficients. This is more easily explained by setting the correlation matrix out in table form for an example training aspect:
Figure imgf000011_0002
The assessment module 200 calculates a training aspect need for each training aspect by summing of: the product of (the correlation coefficient between that training aspect and an athlete attribute) and (9 -the attribute value of the attribute); for all of the athlete attributes.
Calculation of the training aspect need is best described as a mathematical formula:
Training aspect (i) need = ^Vitf^ * (9-Attributβj value from profile 112)
for all attributes j = 1 to m, m being the number of attributes wt(ij) = correlation coefficient between training aspect i and attribute j
The process of determining the training aspect need is designated by reference numeral 210. The process is executed on the processor 16 of the computer system 12. The correlation coefficients for trainings aspects are normalized during production so that the result of the training aspect need calculation for each training aspect is on a scale range between 1 and 9. The training aspect need is indicative of the need for training of that training aspect. On the scale between 1 and 9, an training aspect need value of 1 is indicative of the most training needed for that aspect, 5 indicative of average and 9 indicative of the least amount of training needed for that aspect.
The training aspect needs are sorted by result to provide a rank ordered list 206 of training aspects. This provides the coach and athlete an indication of the training aspects the athlete must concentrate on to better his/her performance.
A contribution report 208 is optionally generated by the assessment module 200. The contribution report 208 shows how the training aspect needs were calculated for any of the training aspects. This can be a valuable aid to the coach to understand why a specific training aspect is ranked higher or lower than any other aspect.
The table 202 may be pre-populated with training aspects or a user of the training aid 10 may populate the table 202. As such, correlation matrix 204 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10. With reference to Fig 5, the training activity module 300 uses the training aspect need values of the rank ordered list 206 as an input to generate a rank ordered list 306 of training activities for the athlete. The training activity module 300 includes a table 302, in the data library 24, of training activities and a correlation matrix 304 of correlation coefficients linking the training activities to each training aspect. The correlation coefficients link each training activity to one or more training aspects. The correlation coefficient of each training activity for the specific training aspect depends on its correlation to the training aspects. For example, if the training aspect "Lactate Threshold" has a high correlation to the training activity "Spin Bike 5 mins @ 90% MHR" but less of a correlation to the training activity "Spin Bike 5 mins @ 80% MHR", the training aspect "Lactate Threshold" is correlated to "Spin Bike 5 mins @ 90% MHR" and "Spin Bike 5 mins @ 80% MHR" by correlation coefficients (for example) of 0.8 and 0.05, respectively. An example of a training aspect and its correlation coefficient linked training activities are set out in the table below:
Figure imgf000013_0001
Similarly, each training activity is linked to a number of training aspects by correlation coefficients. This is more easily explained by setting part of the correlation matrix out in table form for an example training activity:
Figure imgf000013_0002
The training module 300 is operable to generate the rank ordered list 306 of training activities using the training aspect needs and the correlation coefficients linking the training aspects and the training activities. The training module 300 calculates a training activity score for each training activity by summing of: the product of training aspect needs with the correlation coefficients of that training activity.
Calculation of training activity scores is best described as a mathematical formula:
» Training activity (a) score = ^ w?(/>fl) * training aspect (i) need
/=i for all training aspects i = 1 to n, n being the number of training aspects wt(j,a) = correlation coefficient between training aspect i and training activity a.
The process of determining the training activity scores is designated by reference numeral 310. The process is executed on the processor 16 of the computer terminal 12. The training activity scores are used to index the rank ordered list 306 of training activities for the athlete. The rank ordered list 306 of training activities sets out training activities sorted by importance for training. This list 306 of training activities can be used by the coach to prepare a training schedule 308 to train the athlete as per his profile. The applicant envisages that the training schedule 308 may be automatically generated by the training module 300 from the list 306 of training activities.
The table 302 may be pre-populated with training activities or a user of the training aid 10 may populate the table 302. As such, correlation matrix 304 may be pre-populated with correlation coefficients or the correlation coefficients may be set by a user of the training aid 10.
As the athlete completes training activities of his training schedule 308, the coach may want to (or is prompted to) track progress by calculating training aspect scores for any one of the training aspects. The training aspect scores may be calculated in one of two ways: a) direct using a compound formula to calculate a training aspect score or b) reverse calculating an aspect score from assessment of assessable training activities. In direct calculation of training aspect scores, the athlete and coach are required to answer the questions correlated to the attributes which are correlated to the training aspect being scored. Direct calculation of training aspect scores uses the following compound formula:
Training Aspect score = ∑[wt(hj) * (∑j Wt (j,k) *(scale answer for question k)}J j=\ ' fc=i for all attributes j = 1 to m, m being the number of attributes correlated to the training aspect being scored; wt(ιj) = correlation coefficient between training aspect i and attribute j k = questions from 1 to n, n being the number of questions correlated to the attributes 1 to m; wt(jM ~ correlation coefficient between attribute} and question k "Scale answer" for negative questions = 10- value between 1 and 9 chosen as answer.
"Scale answer" for positive questions = value between 1 and 9 chosen as answer.
Comparison between the calculated training aspect score and the previously calculated training aspect need, provides the coach and athlete with a measurable way of tracking the progress or regress of the athlete. In reverse calculation of training aspect scores, certain training activities are assessable and will be flagged as such. The assessable training activities are scored and the scores derived from such assessable training activities are used to calculate the training aspect scores. The reverse calculation uses the scores obtained for the training activities and coefficients derive form the matrix 304 of correlation coefficients linking the training activities to each training aspect.
The raining aspect scores, whether derived directly or from reverse calculation, are compared to the calculated training aspect needs to thereby give an indication of whether there is a need for re-profiling. Although such a comparison will highlight a need for re-profiling, it is ultimately the decision of the coach to re-profile the athlete.
Re-profiling is done in the same manner as described for the profiling which is initially performed. The questions during re-profiling may be the same as the original questions asked. Alternatively, the questions may be specific for an athlete that has moved to a higher level or age group in the sport. Any new profile generates a new training aspect list 204 and training activity list 304 as per the new athlete profile.
It must be appreciated that the data library 24 is customizable by the coach in that the coach can add or delete questions to the table 102, change correlation coefficients of the correlation matrices 106,204, 304 and add or delete attributes, training aspects and training activities form the tables 104, 202, 302. The coach may thus have the athlete training aid 10 set up differently for each athlete, level of athlete or type of athlete (for example male or female). The data library 24 will also be different for different sports. The questions in the table 102, the correlation coefficients of the correlation matrices 106,204,304 and the attributes, training aspects and training activities in the tables 104,202 and 302 will depend on what is input by a user of the athlete training aid for a particular sport.

Claims

1. An athlete training aid for an athlete of a sport, the athlete training aid including: a profiling module which includes a repository of athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository of training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
2. The athlete training aid of claim 1 , wherein the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects, and wherein the training module is operable to correlate training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
3. The athlete training aid of claim 1 , wherein the athlete training aid is configured so that the repository of athlete attributes can be populated by a user of the athlete training aid.
4. The athlete training aid of claim 1 , wherein the athlete training aid is configured so that the repository of training aspects can be populated by a user of the athlete training aid.
5. The athlete training aid of claim 2, wherein the athlete training aid is configured so that the repository of training activities can be populated by a user of the athlete training aid.
6. The athlete training aid of claim 1 , wherein the training module provides for the coach to manipulate the strength of athlete's attributes as set out in the athlete's profile.
7. The athlete. training aid of claim 2, wherein the training activities are specific to the sport.
8. The athlete training aid of claim 1 , wherein the profiling module includes a repository of questions and their correlation to athlete attributes, and wherein answers to the questions are used to rank the athlete's attributes.
9. The athlete training aid of claim 8, wherein the profiling module includes correlation coefficients which set out the correlation between the questions and the athlete attributes, and wherein the profiling module is operable to calculate an attribute value for each of the athlete attributes, the attribute values being calculated as the sum of the products of: the correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
10. The athlete training aid of claim 9, wherein the assessment module includes correlation coefficients which set out the correlation between the athlete attributes and the training aspects, and wherein the assessment module is operable to calculate a training aspect need for each of the training aspects correlated to the athlete attributes, the training aspect need for each training aspect being calculated as the sum of the product of: the correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
11. The athlete training aid of claim 10, wherein the wherein the athlete training aid is configured to allow for the coach to manipulate the attribute values used to calculate the training aspect needs.
12. The athlete training aid of claim 10 or claim 11 , wherein the athlete training aid includes a training module which includes a repository of training activities and their correlation to the training aspects set out as correlation coefficients, and wherein the training module is operable to calculate a training activity score for each of the training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: the correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
13. The athlete training aid of any one of claims 9 to 12, wherein the athlete training aid is configured for the coach to manipulate the correlation coefficients.
14. The athlete training aid of claim 8, wherein the questions are specific to an athlete's level in the sport or the type of athlete.
15. A method of aiding an athlete in training for a sport, the method including the steps of: profiling the athlete through interrogation of one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and assessing the athlete by correlating training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
16. The method of claim 15, further comprising the step of correlating training activities to each of the athlete's training aspects to thereby provide an importance ranking of training activities for the athlete.
17. The method of claim 16, which includes generating a training program using the ranked training activities.
18. The method of claim 15, further comprising the step of calculating an attribute value for each of the athlete attributes, the attribute value being calculated as the sum of the products of: a correlation coefficient between that athlete attribute and a question; and scale answers to the question; for all of the questions.
19. The method of claim 18, further including the step of calculating a training aspect need, the training aspect need being calculated as the sum of the product of: a correlation coefficient between that training aspect and an athlete attribute; and the attribute value of the athlete attribute; for all of the athlete attributes.
20. The method of claim 19, further including the step of calculating a training activity score for training activities correlated to the training aspects, the training activity score for each training activity being calculated as the sum of the product of: a correlation coefficient between that training activity and an training aspect; and the training aspect need of the training aspect; for all of the training aspects.
21. A computer readable medium storing thereon computer executable instructions for providing an athlete training aid for an athlete of a sport, the athlete training aid including: a profiling module which includes a repository which is configured to be populated by athlete attributes, and wherein the profiling module is operable to profile the athlete through interrogation of at least one of the athlete or the athlete's coach to determine the athlete's profile set out as strength of athlete attributes; and an assessment module which includes a repository which is configured to be populated by training aspects and their correlation to the athlete attributes, and wherein the assessment module is operable to correlate training aspects to each of the athlete's attributes, to thereby provide an importance ranking of training aspects derived from the strength of the athlete's attributes, on which ranked training aspects the athlete must focus in training to expedite advancement in the sport.
PCT/AU2008/001175 2008-08-12 2008-08-12 An athlete training aid WO2009015444A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/AU2008/001175 WO2009015444A1 (en) 2008-08-12 2008-08-12 An athlete training aid
AU2008101174A AU2008101174A4 (en) 2008-08-12 2008-12-02 An athlete training aid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/AU2008/001175 WO2009015444A1 (en) 2008-08-12 2008-08-12 An athlete training aid

Related Child Applications (1)

Application Number Title Priority Date Filing Date
AU2008101174A Division AU2008101174A4 (en) 2008-08-12 2008-12-02 An athlete training aid

Publications (1)

Publication Number Publication Date
WO2009015444A1 true WO2009015444A1 (en) 2009-02-05

Family

ID=40303821

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/AU2008/001175 WO2009015444A1 (en) 2008-08-12 2008-08-12 An athlete training aid

Country Status (2)

Country Link
AU (1) AU2008101174A4 (en)
WO (1) WO2009015444A1 (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5980429A (en) * 1997-03-12 1999-11-09 Neurocom International, Inc. System and method for monitoring training programs
US6461162B1 (en) * 2000-06-05 2002-10-08 Harold Reitman Method for creation of a center for athletic performance enhancement
US20070196798A1 (en) * 2006-02-17 2007-08-23 Innertalent Corporation Self-improvement system and method
WO2007112440A2 (en) * 2006-03-28 2007-10-04 Galileo Health Partners Llc Fitness assessment
WO2008030091A1 (en) * 2006-09-06 2008-03-13 Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno System for training optimisation
US20080147422A1 (en) * 2006-12-15 2008-06-19 Van Buskirk Thomast C Systems and methods for integrating sports data and processes of sports activities and organizations on a computer network

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5980429A (en) * 1997-03-12 1999-11-09 Neurocom International, Inc. System and method for monitoring training programs
US6461162B1 (en) * 2000-06-05 2002-10-08 Harold Reitman Method for creation of a center for athletic performance enhancement
US20070196798A1 (en) * 2006-02-17 2007-08-23 Innertalent Corporation Self-improvement system and method
WO2007112440A2 (en) * 2006-03-28 2007-10-04 Galileo Health Partners Llc Fitness assessment
WO2008030091A1 (en) * 2006-09-06 2008-03-13 Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno System for training optimisation
US20080147422A1 (en) * 2006-12-15 2008-06-19 Van Buskirk Thomast C Systems and methods for integrating sports data and processes of sports activities and organizations on a computer network

Also Published As

Publication number Publication date
AU2008101174A4 (en) 2009-03-12

Similar Documents

Publication Publication Date Title
Rajšp et al. A systematic literature review of intelligent data analysis methods for smart sport training
Way et al. Gender, productivity, and prestige in computer science faculty hiring networks
JP6701367B2 (en) Method, device, and computer program for providing personalized educational content
Weast et al. The influence of athletic experience and kinematic information on skill-relevant affordance perception
Bunderson et al. Status inertia and member replacement in role-differentiated teams
Khairina et al. Decision support system for new employee recruitment using weighted product method
Kohr et al. Building a nursing productivity measure based on the synergy model: First steps
Beattie et al. The mediating role of training behaviors on self-reported mental toughness and mentally tough behavior in swimming.
Ennett et al. Comparison of two TAGteach error‐correction procedures to teach beginner yoga poses to adults
Ng et al. CrsRecs: a personalized course recommendation system for college students
Berber et al. Defining the attributes for specific playing positions in football match-play: A complex systems approach
US8768239B2 (en) Methods and systems for clustering students based on their performance
Pitman et al. Therapeutic technique of APA master therapists: Areas of difference and integration across theoretical orientations.
Adamek Academic fraud in revenue and nonrevenue sports
AU2008101174A4 (en) An athlete training aid
Wati et al. Evaluation of scholarly performance student using multi-criteria decision-making with objective weight
KR20150135584A (en) A Difficulty Level Based Question Posing Study System Which Self-renews The Difficulty Level of Questions Based on Standard Average Hit Rate and Standard Average Solving Time of Students
CN108960954B (en) Content recommendation method and system based on user group behavior feedback
Champaign et al. Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects
CN114119304A (en) User management method, system and computer storage medium for online education platform
Kennedy et al. Bench behaviour of ice hockey coaches: Psychophysiological and verbal responses to critical game incidents
CN111815179A (en) Examination mutual evaluation method and system
Gutierrez et al. Trust-based community assessment
Navin et al. Seeking consensus regarding the characteristics of expertise and development requirements across five domains of netball coaching in the United Kingdom
Kent et al. Selecting team captains

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 08782923

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 08782923

Country of ref document: EP

Kind code of ref document: A1