US20120196256A1 - Method of generating a personalized exercise program for a user - Google Patents
Method of generating a personalized exercise program for a user Download PDFInfo
- Publication number
- US20120196256A1 US20120196256A1 US13/501,148 US201013501148A US2012196256A1 US 20120196256 A1 US20120196256 A1 US 20120196256A1 US 201013501148 A US201013501148 A US 201013501148A US 2012196256 A1 US2012196256 A1 US 2012196256A1
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- fitness
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000012360 testing method Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 238000012549 training Methods 0.000 description 14
- 230000036541 health Effects 0.000 description 4
- 230000003542 behavioural effect Effects 0.000 description 3
- 210000003205 muscle Anatomy 0.000 description 3
- 230000002526 effect on cardiovascular system Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000001270 agonistic effect Effects 0.000 description 1
- 230000003042 antagnostic effect Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000036449 good health Effects 0.000 description 1
- 230000003387 muscular Effects 0.000 description 1
- 230000010254 physiological adaptation Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 238000013517 stratification Methods 0.000 description 1
- 230000036642 wellbeing Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
- A61B2505/09—Rehabilitation or training
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0068—Comparison to target or threshold, previous performance or not real time comparison to other individuals
Definitions
- the present invention relates to a method and a system of generating a personalized exercise program for a user.
- US 2005164833 discloses providing a user with the flexibility of choosing their own personal trainer from a group of personal trainers and their own exercise routine to follow in order to get the desired physical body result.
- the invention provides a sequence of exercise routines to follow on different gym equipment to achieve the desired result.
- the selected trainer graphically demonstrates the use of the gym equipment on the computing device of their choice and the user follows the exercise routine at their own pace and at a place and time of their own convenience.
- the inventor of the present invention has appreciated that an improved system and a method for developing exercise programs is of benefit, and has in consequence devised the present invention.
- the invention preferably seeks to mitigate, alleviate or eliminate one or more of the above mentioned disadvantages singly or in any combination.
- a method is provided of generating a personalized exercise program template for a user, comprising:
- the acquired fitness related data being based on physical fitness results from a number of fitness tests undergone by the user in one or more fitness categories,
- constructing a fitness proposal plan for the user based on said collected fitness related data including:
- the exercise prescriptions describe as an example the number of sessions, length of the session, pauses between sessions, length of the program and also specifications within a session (intensity, pauses, repetition/duration etc.).
- said distribution of efforts could suggest the following:
- the system recommends to the user to exercise in 3 fitness categories (endurance, strength and flexibility) based on the results of the previous fitness assessment.
- the amount of effort is also recommended by the system, but could be adjusted by the user according to his/her preferences.
- a possible distribution could be: Monday: 30 minutes endurance category and 10 minutes flexibility category. Thursday: 30 minutes strength category and 10 minutes flexibility category.
- This selection of categories and distribution of efforts plus prescriptions per category is based on a previous fitness assessment, scientific training principles as well as behavior change strategies and is called the exercise program template which is valid for a certain period of time e.g. 12 weeks. The same applies for the other categories or combinations of those.
- said set of rules further indicate:
- exercise suggestions is meant an exercise library from which the user can select exercises per fitness category via the second input data.
- the method further comprises receiving third input data from the user, the third input data being selected from:
- the received third input data are used in composing a personalized exercise program.
- the user is given room for personal preferences or limitations by e.g. setting of behavioral fitness goals and raising commitment through a high level of user involvement, to come to a personalized fitness plan via the exercise program template.
- the moments are typically days in the week.
- the acquired fitness related data further include:
- said number of categories is selected from:
- each of said categories is scaled into two or more performance levels.
- the invention in a second aspect relates to a computer program product for instructing a processing unit to execute the above mentioned method steps when the product is run on a computer.
- the invention in a third aspect relates to a physical fitness system for generating a personalized exercise program template for a user, comprising.
- a first input unit for acquiring fitness related data from the user indicating an initial physical fitness shape of the user, the acquired fitness related data being based on physical fitness results from a number of fitness tests undergone by the user in one or more fitness categories,
- a processor for constructing a fitness proposal plan for the user based on said collected fitness related data including:
- a display for presenting the deviation indicators to the user so as to indicate the initial physical fitness shape of the user compared to said reference fitness shape for each of said categories
- a second input unit for receiving first input data from the user indicting the user's target effort for each of said categories
- said set of rules further indicate exercise suggestions for the corresponding said categories and said sessions
- the system further comprises a third input unit for receiving second input data from the user indicating the user's preferred exercises for each of the said exercise sessions in said exercise program template, where the processor uses the received second input data in composing a personalized exercise program.
- the system further comprises a fourth input unit for receiving third input data from the user, the third input data being selected from the moments the user wants to exercise, the durations the user wants to exercise at the exercise sessions, a duration of the exercise program, a combination of one or more of the above, where the received third input data are used in composing a personalized exercise program.
- FIG. 1 shows a flowchart of an embodiment of a method according to the present invention of generating a personalized exercise program template for a user
- FIGS. 2 a - d show an example of a graphical presentation of generating a personalized exercise program template for a user as discussed in relation to FIG. 1 ,
- FIG. 3 depicts graphically one embodiment of the present invention where the user is given the option of filling out a template with exercises of his/her own choice
- FIG. 4 depicts graphically one embodiment of the present invention showing where a user interface is used for assisting the user in selecting the desired exercise intensity
- FIG. 5 shows an embodiment of a physical fitness system according to the present invention for generating a personalized exercise program template for a user.
- FIG. 1 shows a flowchart of an embodiment of a method according to the present invention of generating a personalized exercise program template for a user.
- step (S 1 ) 101 fitness related data are acquired from the user indicating an initial physical fitness shape of the user, the acquired fitness related data being based on physical fitness results from a number of fitness tests undergone by the user in one or more fitness categories.
- the categories may e.g. be selected from endurance, strength, balance, flexibility and body composition. Also, as will be discussed in more detail later, each of these categories may be scaled into two or more performance levels.
- the fitness related data may further include data about the age of the user, gender, smoker/non-smoker, psychological status of the user etc.
- a fitness proposal plan is constructed for the user based on the collected fitness related data by comparing the acquired fitness related data with reference fitness data for corresponding fitness test results in one or more corresponding fitness categories.
- the reference fitness data may be selected for a user of the same age, same gender and with a similar medical history.
- the step (S 2 ) further includes determining a deviation indicator for each of the categories which indicates the deviation between the acquired fitness related data and said reference data within the same fitness category.
- step (S 3 ) 105 the deviation indicators are presented to the user so as to indicate the initial physical fitness shape of the user compared to said reference fitness shape for each of said categories.
- this may e.g. be done by presenting pillars (e.g. one for endurance, one for strength, one for balance etc.) for the categories to the user where the height of each pillar shows how much the user deviates from the references fitness shape values.
- step (S 4 ) 107 first input data are received from the user indicting the user's target effort for each of said categories.
- the user can accordingly adjust these pillars according to his/her preferences, abilities or limitations.
- step (S 5 ) 109 an exercise program template is composed for the user based on the received user input.
- the composing is performed in accordance to a set of rules indicating the distribution of the effort for each of said categories over exercise sessions, and exercise prescriptions for the corresponding said categories and said sessions, e.g. number of sessions, length of the session, pauses between sessions, length of the program and also specifications within a session (intensity, pauses, repetition/duration etc.).
- said set of rules further indicate exercise suggestions for the corresponding said categories and said sessions meaning that the exercise suggestions are a kind of an exercise library from which the user can select exercises per fitness category.
- the set of rules can be rules defined based on scientific training principles so that it makes sure that the distribution of the exercise sessions is correct (e.g. at least one resting day between training sessions addressing the same fitness category) and that the distribution of categories within each session is correct (e.g. running and upper body training on Monday, a cycling and lower body training on Wednesday, etc.).
- step (S 6 ) 111 second input data are received from the user indicating the user's preferred exercises based on said exercise suggestions, where the received second input data are used in composing a personalized exercise program.
- step (S 7 ) 113 third input data selected from the moments the user wants to exercise, the durations the user wants to exercise at the exercise sessions, a duration of the exercise program, a combination of one or more of the above, where the received third input data are used in composing a personalized exercise program.
- FIG. 2 a - d shows an example of a graphical presentation of generating a personalized exercise program template for a user as discussed in relation to FIG. 1 .
- FIG. 2 a shows a display 503 displaying indicating a fitness proposal plan after comparing fitness related data acquired from the user based on physical fitness assessment with reference fitness data for corresponding fitness tests results in one or more corresponding fitness categories.
- said deviation indicators are presented as pillars 200 a - e where the height of the pillars corresponds to the size of the gap between the user's current level (determined in a previous fitness assessment) and a desired level (e.g. population average or healthy level) meaning that the higher the pillars are the larger is the gap between the user's current fitness level compared to the reference level.
- FIG. 2 b shows where the user can enter said first input data at the display 503 by adjusting these efforts according to his/her preferences, interests, abilities or limitations by moving buttons 201 a - e up or down via e.g. a mouse command or a tough button interface and the like.
- buttons 201 a - e up or down via e.g. a mouse command or a tough button interface and the like.
- the user may think that due to previous injuries he/she can not focus too much on endurance, or the user may simply think that endurance is boring and therefore reduce this category.
- the user can move button 201 down, while keeping the remaining categories unchanged. Based on this first input data from the user, category endurance will be reduced whereas the remaining categories remain the same.
- FIG. 2 c shows where the user can enter said third input data at the display 503 by graphically enter the times and durations he/she wants to exercise and subsequently trainings principles and exercise knowledge are applied to compose an exercise program template for the user.
- a training scientific rationale Principal of Supercompensation
- a training scientific rationale may be applied to indicate why this is not optimal and recommends reconsidering exercising on other days.
- another training principle (Principle of Overload) may be given to the user suggesting to increase the days per week or duration per session.
- FIG. 2 d shows where an exercise program template has been composed and is displayed at the display 503 where the individual improvement areas of the user are considered as well as his/her availability during the week.
- Example of composing an exercise plan i) The number of days per week the user wants to exercise is received. ii) Data relating to the user's target effort are received, e.g. target effort for Balance, Strength, and Flexibility.
- target effort for Balance, Strength, and Flexibility.
- the effort of Body Composition is split equally over the Endurance group and the Balance-Strength-Flexibility group (since body composition can be addressed by both Endurance and Strength exercises). These effort numbers are then converted to two percentages. When using 10 points for low effort, 20 for medium effort, and 30 for high effort, in the example above the relative efforts are Endurance: 30 points, Strength: 0, Balance: 30, Flexibility: 20, and Body Composition: 20.
- FIG. 3 depicts graphically one embodiment of the present invention where the user is given the option of filling out a template with exercises of his/her own choice.
- the user is assisted and guided via the interface displayed at the display 503 by applying all necessary exercise—as well as behavioral knowledge.
- the example here shows only strength exercises, but this may just as well apply for all exercise areas picked.
- a care may be taken of a well chosen selection of exercises by e.g. dividing the body into 3 parts 301 - 303 and inviting the user to select exercises that address all parts.
- a care may be taken of a well chosen selection of exercises that prevent/treat muscular imbalance by always addressing agonistic and antagonistic muscle groups.
- FIG. 4 depicts graphically one embodiment of the present invention showing where a user interface is displayed at the display 503 for assisting the user in selecting the desired exercise intensity (for strength exercises, and for endurance exercises without using a heart rate monitor). This may be done by asking the user to indicate his/her Rating of Perceived Exertion (RPE) at the end of each set on the scientifically validated Borg scale. In order to have a sufficient training stimulus to induce further physiological adaptations, it is required to terminate each set with an RPE level of 13 to 15 (no matter e.g. how many repetitions the user has done). If the indicated RPE level is below this level, it may be suggested to the user to increase the exercise intensity (e.g. by doing more repetitions or by using heavier weights), or to select more intense exercises (for this purpose each exercise in the exercise library is labeled either light, medium or heavy to provide the user with an indication about the difficulty).
- RPE Perceived Exertion
- FIG. 5 shows an embodiment of a physical fitness system 500 according to the present invention for generating a personalized exercise program template for a user comprising a first input unit (I_U_ 1 ) 501 , a processor (P) 502 , said display (D) 503 and a second input unit (I_U_ 2 ) 504 .
- the first input unit (I_U_ 1 ) 501 acquiring fitness related data from the user indicating an initial physical fitness shape of the user, e.g. by letting the user undergo various fitness tests, e.g. strength and endurance exercises and by entering various information about the user (e.g. age and gender).
- the processor (P) 502 constructs a fitness proposal plan for the user based on the collected fitness related data, where as discussed in relation to FIG. 1 , the constructing includes comparing the acquired fitness related data with reference fitness data for corresponding fitness tests results in one or more corresponding fitness categories.
- the reference fitness data is selected in accordance to the acquired fitness related data and indicate a reference fitness shape for the user.
- the processor further determines a deviation indicator for each of said categories indicating the deviation between the acquired fitness related data and said reference data within the same fitness category.
- Said display (D) 503 is preferably operated by the processor (P) 502 and presents the deviation indicators, e.g. said pillars 200 a - e , to the user so as to indicate the initial physical fitness shape of the user compared to the reference fitness shape for each of said categories.
- the second input unit (I_U_ 2 ) 504 receives first input data from the user indicting the user's target effort for each of said categories.
- the second input unit (I_U_ 2 ) 504 may be integrated into the display (D) 503 , e.g. as touch button sensors, speech sensors and the like that receives the first input data from the user via e.g. a touch button command or speech command.
- These data are accordingly collected and used by the processor (P) 502 for composing an exercise program template for the user based on the received user input.
- the processor (P) 502 for composing an exercise program template for the user based on the received user input.
- the composing is performed in accordance to a set of rules indicating distribution of said effort for each of said categories over exercise sessions, and exercise prescriptions for the corresponding said categories and said sessions.
- Said set of rules may further indicate exercise suggestions for the corresponding said categories and said sessions or an exercise library from which the user can select exercises per fitness category.
- the system further comprise a third and a fourth input unit (not shown) for receiving said second and/or third input data from the user (see in relation to FIG. 1 ).
- This data may e.g. include user's preferred exercises for each of the said exercise sessions in said exercise program template and/or the moments the user wants to exercise, the durations the user wants to exercise at the exercise sessions, a duration of the exercise program, number of sessions, length of the session, pauses between sessions, length of the exercise program, or a combination of one or more of the above.
- the second and/or third input unit may be one and the same input unit and even be the same input unit as said second input unit (I_U_ 2 ) 504 , i.e. sensors that are integrated into said display (D) 503 , or speech command sensors and the like.
- the processor (P) 502 uses the received third and/or fourth input data in composing a personalized exercise program.
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| EP09173286 | 2009-10-16 | ||
| EP09173286.7 | 2009-10-16 | ||
| PCT/IB2010/054585 WO2011045726A1 (en) | 2009-10-16 | 2010-10-11 | Method of generating a personalized exercise program for a user |
Publications (1)
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| US20120196256A1 true US20120196256A1 (en) | 2012-08-02 |
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Country Status (6)
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| US (1) | US20120196256A1 (enExample) |
| EP (1) | EP2488980A1 (enExample) |
| JP (1) | JP5643826B2 (enExample) |
| CN (1) | CN102549590B (enExample) |
| BR (1) | BR112012008495A2 (enExample) |
| WO (1) | WO2011045726A1 (enExample) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130019676A1 (en) * | 2011-07-21 | 2013-01-24 | RivalHealth LLC | Self correcting fitness test |
| US20130116092A1 (en) * | 2011-11-03 | 2013-05-09 | International Business Machines Corporation | Exercise-integrated workstation |
| US20140106322A1 (en) * | 2011-07-21 | 2014-04-17 | RivalHealth LLC | Self correcting fitness test |
| CN104091080A (zh) * | 2014-07-14 | 2014-10-08 | 中国科学院合肥物质科学研究院 | 一种智能化健身指导系统及其闭环指导方法 |
| US20150012291A1 (en) * | 2011-12-27 | 2015-01-08 | Koninklijke Philips N.V. | Method and system for ordering self-care behaviors |
| US20160220867A1 (en) * | 2015-02-04 | 2016-08-04 | Ryan Flaherty | Predictable and adaptive personal fitness planning |
| CN109152556A (zh) * | 2016-06-06 | 2019-01-04 | 麦克赛尔株式会社 | 手指运动练习菜单生成系统、方法和程序 |
| US10223931B1 (en) | 2014-09-05 | 2019-03-05 | Fusionetics, LLC | Systems and methods for compensation analysis and targeted, corrective program generation |
| US10772558B2 (en) * | 2013-02-08 | 2020-09-15 | Societe Des Produits Nestle S.A. | Assessment and advice on nutrition, endurance, and strength |
| US20210291021A1 (en) * | 2018-08-09 | 2021-09-23 | Tonal Systems, Inc. | Control sequence based exercise machine controller |
| US20220176202A1 (en) * | 2019-03-15 | 2022-06-09 | Fitbeat Australia Pty Ltd | Systems and methods for delivering a personalised dose of exercise |
| US11406873B2 (en) | 2018-08-09 | 2022-08-09 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
Families Citing this family (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110281249A1 (en) * | 2010-05-14 | 2011-11-17 | Nicholas Gammell | Method And System For Creating Personalized Workout Programs |
| CN103413018B (zh) * | 2012-05-23 | 2017-04-12 | 微软技术许可有限责任公司 | 用于提供动态锻炼内容的方法 |
| CA2777742C (en) | 2012-05-23 | 2014-09-23 | Microsoft Corporation | Dynamic exercise content |
| ES2693113T3 (es) | 2013-10-30 | 2018-12-07 | Tansu MEHMET | Método para preparar una estrategia de ejercicio personalizada |
| US12080421B2 (en) | 2013-12-04 | 2024-09-03 | Apple Inc. | Wellness aggregator |
| US20160019360A1 (en) | 2013-12-04 | 2016-01-21 | Apple Inc. | Wellness aggregator |
| CN104123445B (zh) * | 2014-07-14 | 2017-01-11 | 中国科学院合肥物质科学研究院 | 一种基于多源信息的运动目标推理系统 |
| AU2015312215B2 (en) * | 2014-09-02 | 2017-10-19 | Apple Inc. | Physical activity and workout monitor |
| KR20160084705A (ko) * | 2015-01-06 | 2016-07-14 | 삼성전자주식회사 | 전자 장치 및 전자 장치의 운동 서비스 제공 방법 |
| EP4327731A3 (en) | 2015-08-20 | 2024-05-15 | Apple Inc. | Exercise-based watch face |
| DK201770423A1 (en) | 2016-06-11 | 2018-01-15 | Apple Inc | Activity and workout updates |
| US10736543B2 (en) | 2016-09-22 | 2020-08-11 | Apple Inc. | Workout monitor interface |
| CN106845938A (zh) * | 2017-01-20 | 2017-06-13 | 刘园 | 一种基于评价反馈来指导运动的服务平台 |
| US10845955B2 (en) | 2017-05-15 | 2020-11-24 | Apple Inc. | Displaying a scrollable list of affordances associated with physical activities |
| CN109394186A (zh) * | 2017-08-18 | 2019-03-01 | 汤伟俊 | 一种共享式可定制推送信息的健康智能手环 |
| CN109659005A (zh) * | 2018-11-23 | 2019-04-19 | 杭州普利复健科技有限公司 | 信息推送方法及系统 |
| CN109589564B (zh) * | 2019-01-30 | 2020-08-07 | 重庆勤鸟圈科技有限公司 | 定制化健身计划生成系统 |
| DK201970532A1 (en) | 2019-05-06 | 2021-05-03 | Apple Inc | Activity trends and workouts |
| WO2020247261A1 (en) | 2019-06-01 | 2020-12-10 | Apple Inc. | Multi-modal activity tracking user interface |
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| DK202070613A1 (en) | 2020-02-14 | 2021-10-15 | Apple Inc | User interfaces for workout content |
| EP4550349A3 (en) | 2021-05-15 | 2025-07-02 | Apple Inc. | User interfaces for group workouts |
| TWI820466B (zh) * | 2021-08-10 | 2023-11-01 | 臺灣輔康醫療器材股份有限公司 | 運動評估及處方產生系統及其方法 |
| US11977729B2 (en) | 2022-06-05 | 2024-05-07 | Apple Inc. | Physical activity information user interfaces |
| US11896871B2 (en) | 2022-06-05 | 2024-02-13 | Apple Inc. | User interfaces for physical activity information |
| CN117752984A (zh) * | 2023-07-27 | 2024-03-26 | 宁波浙鼎教育科技有限公司 | 一种教练端数据管理方法、系统、智能终端及存储介质 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001016855A2 (en) * | 1999-08-13 | 2001-03-08 | Vitality Websystems, Inc. | Method and apparatus for establishing, maintaining, and improving an exercise, nutrition, or rehabilitation regime |
| JP2004154589A (ja) * | 1998-04-28 | 2004-06-03 | Ya Man Ltd | エアロビック運動器具の負荷自動調整装置 |
| US8568278B2 (en) * | 2006-09-07 | 2013-10-29 | Nike, Inc. | Athletic performance sensing and/or tracking systems and methods |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100391549B1 (ko) * | 2000-06-21 | 2003-07-12 | 주식회사 세우시스템 | 인터넷을 이용한 체력측정 방법과 이를 이용한 시스템 |
| JP2002297775A (ja) * | 2001-03-29 | 2002-10-11 | Mizuno Corp | 健康・消費情報管理装置,方法およびプログラム |
| JP2003216739A (ja) * | 2002-01-25 | 2003-07-31 | Itoki Co Ltd | 健康管理システム、及び健康管理方法 |
| GB0306734D0 (en) * | 2003-03-24 | 2003-04-30 | Hd Sports Ltd | A computerised system fr devising a training scheme for a sports person |
| GB0326387D0 (en) * | 2003-11-12 | 2003-12-17 | Nokia Corp | Fitness coach |
| US20050164833A1 (en) | 2004-01-22 | 2005-07-28 | Florio Erik D. | Virtual trainer software |
| US20060205564A1 (en) * | 2005-03-04 | 2006-09-14 | Peterson Eric K | Method and apparatus for mobile health and wellness management incorporating real-time coaching and feedback, community and rewards |
| FI20065147A7 (fi) * | 2006-03-03 | 2006-03-03 | Firstbeat Technologies Oy | Järjestelmä ja menetelmä harjoittelun ohjaamiseksi |
| US8956290B2 (en) * | 2006-09-21 | 2015-02-17 | Apple Inc. | Lifestyle companion system |
| CN101520815B (zh) * | 2008-07-05 | 2013-09-25 | 杭州义盛祥通信技术有限公司 | 个人运动管理系统及管理方法 |
-
2010
- 2010-10-11 US US13/501,148 patent/US20120196256A1/en not_active Abandoned
- 2010-10-11 JP JP2012533723A patent/JP5643826B2/ja not_active Expired - Fee Related
- 2010-10-11 CN CN201080046642.5A patent/CN102549590B/zh not_active Expired - Fee Related
- 2010-10-11 EP EP10782016A patent/EP2488980A1/en not_active Withdrawn
- 2010-10-11 WO PCT/IB2010/054585 patent/WO2011045726A1/en not_active Ceased
- 2010-10-11 BR BR112012008495A patent/BR112012008495A2/pt not_active IP Right Cessation
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004154589A (ja) * | 1998-04-28 | 2004-06-03 | Ya Man Ltd | エアロビック運動器具の負荷自動調整装置 |
| WO2001016855A2 (en) * | 1999-08-13 | 2001-03-08 | Vitality Websystems, Inc. | Method and apparatus for establishing, maintaining, and improving an exercise, nutrition, or rehabilitation regime |
| US8568278B2 (en) * | 2006-09-07 | 2013-10-29 | Nike, Inc. | Athletic performance sensing and/or tracking systems and methods |
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| US20140106322A1 (en) * | 2011-07-21 | 2014-04-17 | RivalHealth LLC | Self correcting fitness test |
| US9495880B2 (en) * | 2011-07-21 | 2016-11-15 | Rivalhealth, Llc | Self correcting fitness test |
| US20130019676A1 (en) * | 2011-07-21 | 2013-01-24 | RivalHealth LLC | Self correcting fitness test |
| US20130116092A1 (en) * | 2011-11-03 | 2013-05-09 | International Business Machines Corporation | Exercise-integrated workstation |
| US8965541B2 (en) * | 2011-11-03 | 2015-02-24 | International Business Machines Corporation | Exercise-integrated workstation |
| US20150012291A1 (en) * | 2011-12-27 | 2015-01-08 | Koninklijke Philips N.V. | Method and system for ordering self-care behaviors |
| US10772558B2 (en) * | 2013-02-08 | 2020-09-15 | Societe Des Produits Nestle S.A. | Assessment and advice on nutrition, endurance, and strength |
| CN104091080A (zh) * | 2014-07-14 | 2014-10-08 | 中国科学院合肥物质科学研究院 | 一种智能化健身指导系统及其闭环指导方法 |
| US11551574B1 (en) * | 2014-09-05 | 2023-01-10 | Fusionetics, LLC | Systems and methods for compensation analysis and targeted, corrective program generation |
| US10223931B1 (en) | 2014-09-05 | 2019-03-05 | Fusionetics, LLC | Systems and methods for compensation analysis and targeted, corrective program generation |
| US11074999B2 (en) | 2015-02-04 | 2021-07-27 | Nike, Inc. | Predictable and adaptive personal fitness planning |
| US10409961B2 (en) * | 2015-02-04 | 2019-09-10 | Nike, Inc. | Predictable and adaptive personal fitness planning |
| US12462915B2 (en) | 2015-02-04 | 2025-11-04 | Nike, Inc. | Predictable and adaptive personal fitness planning |
| US11742067B2 (en) | 2015-02-04 | 2023-08-29 | Nike, Inc. | Predictable and adaptive personal fitness planning |
| US20160220867A1 (en) * | 2015-02-04 | 2016-08-04 | Ryan Flaherty | Predictable and adaptive personal fitness planning |
| US11517788B2 (en) * | 2016-06-06 | 2022-12-06 | Maxell, Ltd. | Finger exercise training menu generating system, method thereof, and program thereof |
| CN109152556A (zh) * | 2016-06-06 | 2019-01-04 | 麦克赛尔株式会社 | 手指运动练习菜单生成系统、方法和程序 |
| US11806581B2 (en) * | 2018-08-09 | 2023-11-07 | Tonal Systems, Inc. | Control sequence based exercise machine controller |
| US20220331665A1 (en) * | 2018-08-09 | 2022-10-20 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US11406873B2 (en) | 2018-08-09 | 2022-08-09 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US11759678B2 (en) * | 2018-08-09 | 2023-09-19 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US20240033579A1 (en) * | 2018-08-09 | 2024-02-01 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US20240157199A1 (en) * | 2018-08-09 | 2024-05-16 | Tonal Systems, Inc. | Control sequence based exercise machine controller |
| US12023550B2 (en) * | 2018-08-09 | 2024-07-02 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US20250001261A1 (en) * | 2018-08-09 | 2025-01-02 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US12440729B2 (en) * | 2018-08-09 | 2025-10-14 | Tonal Systems, Inc. | Timeline and media controller for exercise machine |
| US20210291021A1 (en) * | 2018-08-09 | 2021-09-23 | Tonal Systems, Inc. | Control sequence based exercise machine controller |
| US20220176202A1 (en) * | 2019-03-15 | 2022-06-09 | Fitbeat Australia Pty Ltd | Systems and methods for delivering a personalised dose of exercise |
| US12263379B2 (en) * | 2019-03-15 | 2025-04-01 | Fitbeat Australia Pty Ltd | Systems and methods for delivering a personalized dose of exercise |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102549590A (zh) | 2012-07-04 |
| CN102549590B (zh) | 2016-03-16 |
| BR112012008495A2 (pt) | 2019-09-24 |
| JP2013508797A (ja) | 2013-03-07 |
| JP5643826B2 (ja) | 2014-12-17 |
| WO2011045726A1 (en) | 2011-04-21 |
| EP2488980A1 (en) | 2012-08-22 |
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