US20090325766A1 - Exercise condition detection apparatus, exercise condition detection program, and exercise condition detection method - Google Patents
Exercise condition detection apparatus, exercise condition detection program, and exercise condition detection method Download PDFInfo
- Publication number
- US20090325766A1 US20090325766A1 US12/550,688 US55068809A US2009325766A1 US 20090325766 A1 US20090325766 A1 US 20090325766A1 US 55068809 A US55068809 A US 55068809A US 2009325766 A1 US2009325766 A1 US 2009325766A1
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- United States
- Prior art keywords
- exercise
- condition
- acquired
- exercise intensity
- exercise condition
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
Definitions
- the present invention relates to an exercise condition detection apparatus, an exercise condition detection program, and an exercise condition detection method that determine a physical exercise condition based on the number of steps per a unit time and exercise intensity.
- a portable pedometer or pulse meter is used to measure the number of steps or confirm the number of pulses during exercise.
- An ongoing aerobic exercise which is an exercise during which one continually breathes, is considered to be effective for prevention of the life-style diseases.
- a portable exercise condition detection apparatus that detects the exercise condition based on the combination of the number of steps and exercise intensity.
- a user is generally in a resting condition in a train.
- a conventional pedometer erroneously counts the vibration as the number of steps.
- a continuous blood pressure measuring method As a prior art relating to the present invention, there is known a continuous blood pressure measuring method.
- a patient wears a portable sphygmomanometer, pedometer, and heart rate meter all day long and periodically transfers measurements to an information management server by use of a data communicating function of a mobile phone so as to determine the health of the patient from a correlation between fluctuation of blood pressure, the count of the pedometer, and heart rate.
- Patent Document 1 Japanese Laid-open Patent Publication No. 2000-333918]
- an exercise condition detection apparatus that detects a physical exercise condition, including: an exercise intensity acquisition section that acquires exercise intensity; a step number information acquisition section that acquires step number information representing the number of steps per a unit time; and a determination section that determines the exercise condition based on the exercise intensity acquired by the exercise intensity acquisition section and step number information acquired by the step number information acquisition section.
- FIG. 1 is a block diagram illustrating an example of a configuration of an exercise condition detection apparatus according to an embodiment of the present invention.
- FIG. 2 is a flowchart illustrating an example of a processing flow (initialization processing) in the exercise condition detection apparatus according to the present embodiment.
- FIG. 3 is a view illustrating an example of a configuration of a table according to the present embodiment, which depicts a correspondence relation between the percentage with respect to the maximum heart rate reserve and exercise intensity.
- FIG. 4 is a flowchart illustrating an example of a processing flow (determination processing) in the exercise condition detection apparatus according to the present embodiment.
- the method disclosed in a prior art aims to manage the health, it may not determine the current exercise condition (aerobic exercise condition, resting condition). Further, the method disclosed in a prior art does not consider at all the above mentioned problem of the erroneous counting of the number of steps in a resting condition of the body of the user.
- This embodiment has been made to solve the above problems and an object thereof is to provide an exercise condition detection apparatus, an exercise condition detection program, and an exercise condition detection method that determine a physical exercise condition.
- an exercise condition detection apparatus 1 is a mobile terminal typified by a mobile phone
- any apparatus may be used as the exercise condition detection apparatus 1 as long as it can include a configuration according to the present embodiment.
- the exercise condition detection apparatus 1 includes a pulse number calculation section 2 , an exercise intensity calculation section 3 , a determination section 4 , a step number calculation section 5 , a storage section 6 , a notification section 7 , a pulse number measurement device 10 , and a step number measurement device 11 .
- the pulse number measurement device 10 acquires the pulse in the form of a signal so as to measure the pulse number.
- the pulse number measurement device 10 measures the pulse at an earlobe of a user. More specifically, an ear clip is attached to the use's earlobe. The ear clip irradiates the earlobe with an infrared ray, and the pulse number measurement device 10 acquires a pulse signal corresponding to a transmitted light of the infrared ray to thereby measure the pulse.
- the communication between the pulse number measurement device 10 and the ear clip may be made over a wired link or wireless link.
- a pulse number measurement device that uses a camera incorporated in the exercise condition detection apparatus 1 and samples images picked up by the camera to measure the pulse or a pulse number measurement device that uses a clip to be attached to a finger so as to irradiate the finger with an infrared ray to acquire the pulse from the finger.
- the step number measurement device 11 is a vibration sensor and measures the number of vibrations as the number of steps.
- a mobile phone that incorporates the vibration sensor to measure the number of vibrations as the number of steps.
- the vibration sensor is incorporated in the exercise condition detection apparatus 1 .
- the exercise intensity calculation section 3 calculates the exercise intensity (METs) based on the number of pulses calculated by the pulse number calculation section 2 .
- the step number calculation section 5 calculates the number of steps (step number information) per one minute based on the number of steps acquired from the step number measurement device 11 .
- the determination section 4 determines the current exercise condition based on the exercise intensity calculated by the exercise intensity calculation section 3 and step number information calculated by the step number calculation section 5 .
- the storage section 6 acquires, as an initial value, the number of pulses at rest and age of the user. Further, the storage section 6 calculates the number of pulses corresponding to the percentage with respect to user's maximum heart rate reserve based on the acquired number of pulses at rest and age and creates and retains a table associating the number of pulses corresponding to the percentage with respect to user's maximum heart rate reserve with exercise intensity.
- the notification section 7 notifies the user of information based on the exercise condition determined by the determination section 4 together with the number of pulses and step number information.
- the initialization processing refers to processing up to the point where the storage section 6 creates and retains the table associating the number of pulses corresponding to the percentage with respect to user's maximum heart rate reserve with exercise intensity.
- the storage section 6 acquires the age of the user and the number of pulses at rest that has previously been measured by the user (step S 1 ).
- the number of pulses at rest is the number of pulses per one minute in a resting condition.
- the storage section 6 uses the acquired age and number of pulses at rest to calculate the number of pulses corresponding to the percentage with respect to the maximum heart rate reserve (step S 2 ).
- the maximum heart rate reserve will be described. It is said that the upper limit of the heart beats per one minute (maximum heart rate) is (220 ⁇ age). By referring to a value obtained by subtracting the number of pulses at rest from the maximum heart rate, it is possible to grasp the reserve (remaining) beating capacity of the heart. This reserve beating capacity of the heart is referred to as the maximum heart rate reserve.
- the storage section 6 calculates the number of pulses corresponding to the percentage with respect to the maximum heart rate reserve using the following equation.
- Number of pulses corresponding to percentage with respect to maximum heart rate reserve number of pulses at rest+((220 ⁇ age) ⁇ number of pulses at rest) ⁇ ( X/ 100)
- the storage section 6 creates and retains a table associating the number of pulses corresponding to the percentage with respect to user's maximum heart rate reserve obtained in step S 2 with exercise intensity (step S 3 ).
- the correspondence relation between the percentage (%) with respect to the maximum heart rate reserve and exercise intensity (METs) has previously been defined according to an empirical rule. For example, in the case where the percentage with respect to the maximum heart rate reserve is not more than 14%, the exercise intensity is 1 (METs), and in the case where the percentage with respect to the maximum heart rate reserve is the 50% level, the exercise intensity is 3.0 (METs).
- FIG. 3 is a table illustrating an example of the correspondence relation among the percentage with respect to the maximum heart rate reserve, the number of pulses corresponding to the maximum heart rate reserve (which is written merely as “number of pulses” in FIG. 3 ), and exercise intensity.
- the number of pulses at rest is set to 80 and user's age is set to 34.
- the exercise intensity is 1.0 (METs)
- the exercise intensity is 3.0 (METs).
- the table (hereinafter, referred to as “correspondence table”) associating the percentage with respect to the maximum heart rate reserve and exercise intensity is stored in the storage section 6 .
- the exercise intensity calculation section 3 calculates the exercise intensity by relating the current number of pulses to the number of pulses in the correspondence table.
- FIG. 4 is a flowchart illustrating the determination processing of the exercise condition.
- the exercise condition detection apparatus 1 performs the exercise condition determination processing (processing from step S 10 to step S 23 ) at intervals of one second.
- the pulse number calculation section 2 Upon receiving the number of pulses in the form of a signal from the pulse number measurement device 10 , the pulse number calculation section 2 calculates the pulse rate as the number of pulses per one minute (step S 10 ).
- the step number calculation section 5 acquires the number of steps from the step number measurement device and calculates the step number information as the number of steps per one minute (step S 11 ).
- the pulse number calculation section 2 may adopt the number of pulses counted for one minute as the number of pulses per one minute.
- the pulse number calculation section 2 may measure the number of pulses for predetermined seconds (e.g., 6 seconds) and multiply the number of pulses measured for the predetermined seconds by a value (10, in the case of 6 seconds). The predetermined second is multiplied by which in order to obtain one minute to calculate the number of pulses per one minute.
- the step number calculation section 5 may calculate the step number information in the same manner.
- the exercise intensity calculation section 3 uses the correspondence table stored in the storage section 6 to calculate the exercise intensity corresponding to the number of pulses actually measured.
- the determination section 4 Based on the step number information and exercise intensity, the determination section 4 performs determination processing. It is only necessary for the step number information and exercise intensity to be prepared as data before the determination section 4 starts the determination processing. Thus, the calculation order of the step number information and exercise intensity does not matter.
- the determination section 4 acquires the number of pulses as additional information of the exercise intensity from the exercise intensity calculation section 3 for notification to the user.
- the determination section 4 determines whether the step number information is not less than 60 (steps/minute) (step S 13 ). When the step number information is not less than 60 (steps/minute) (Yes in step S 13 ), the determination section 4 determines whether the exercise intensity is not less than 2.5 (METs) (step S 14 ). When the exercise intensity is not less than 2.5 (METs) (Yes in step S 14 ), the determination section 4 determines whether the exercise intensity is not more than 3.0 (METs) (step S 15 ).
- step S 15 When the exercise intensity is not more than 3.0 (METs) (Yes in step S 15 ), i.e., since the step number information is not less than 60 (steps/minute) (first threshold) and exercise intensity is in the range (predetermined range) of 2.5 (METs) to 3.0 (METs), the determination section 4 determines that the user is performing moderate aerobic exercise (step S 17 ).
- the exercise intensity is 2.0 (METs) when one takes 60 steps for one minute with a 50 cm-stride.
- the determination section 4 performs the processing of step S 13 with the step number information of 60 (steps/minute) set as a criterion.
- this value is an example but is not obligatory.
- the determination section 4 may set the criterion as to the step number Information of step S 13 to a numerical value, such as average walking or running speed of an adult person, at which it can empirically be determined whether one is performing moderate exercise.
- the exercise intensity based on which it is determined that the user is performing moderate aerobic exercise is not limited to the above range (from 2.5 (METs) to 3.0 (METs)) but may fall within a range where it can empirically be determined that one is performing moderate exercise.
- the determination section 4 determines that the user is in an exercise condition (anaerobic exercise) where he is not breathing appropriately due to an excessive exercise load on his body (step S 16 ).
- step S 14 When the exercise intensity is less than 2.5 (METs) (No in step S 14 ), the processing advances to step S 18 .
- step S 18 determines whether the step number information is not less than 1 (step/minute) (step S 18 ).
- the determination section 4 determines that the user is in a resting condition (step S 19 ).
- the criterion used in step S 18 is not limited to the above value of 1 (step/minute) but may be a value at which it can empirically be determined that one is not in an exercising condition. For example, a criterion may be set based on the average walking speed of an adult person. In this case, the determination section 4 determines that the user is in a resting condition when the step number information is not more than the set criterion.
- step S 18 when the step number information is not less than 1 (step/minute) (Yes in step S 18 ), the determination section 4 determines that the exercise intensity is not more than 1.0 (METs) (step S 20 ).
- the exercise intensity is not more than 1.0 (METS) (third threshold) (Yes in step S 20 ), which means an occurrence of an error count where the number of steps of the user is counted although he is actually in a resting condition
- the determination section 4 does not count the number of steps (step S 21 ) and determines that the current condition is a resting condition (step S 19 ).
- the criterion used in step S 20 is set based on the fact that one is in a resting condition when the exercise intensity is 1.0 (METs), the value of the criterion is not limited to 1.0 (METs), but the determination section 4 may use for the determination in step S 20 any other criterion, if exists, based on which it can empirically be determined that one is in a resting condition.
- the determination section 4 determines that he is in a bad health condition (or condition immediately after exercise) (step S 22 ).
- the notification section 7 notifies the user of current step number information, number of pulses, and information based on a result of the determination (determination made based on step S 16 , step S 17 , step S 19 , step S 21 , and step S 22 ) made by the determination section 4 .
- the notification section 7 may notify the user of the determination result using the above expressions (e.g., “aerobic exercise condition”, “anaerobic exercise condition”, and the like), the notification section 7 according to the present embodiment notifies the user of the information based on the determination result as guidance.
- the notification section 7 issues a notification saying “Slow down your pace”.
- the notification section 7 issues a notification saying “Keep your pace”.
- the notification section 7 issues a notification saying “Rest and relax”.
- the notification section 7 issues a notification saying “Rest up”.
- the notification may be made by outputting a sound or by displaying a character string.
- the determination section 4 determines as “not less than the criterion” and “not more than the criterion”, it may determine as “more than the criterion” and “less than the criterion”.
- An exercise intensity acquisition section corresponds to the exercise intensity calculation section 3 in the embodiment.
- a step number information acquisition section corresponds to the step number measurement device 11 and step number calculation section 5 in the embodiment.
- a pulse number acquisition section corresponds to the pulse number measurement device 10 and pulse number calculation section 2 in the embodiment.
- a given functional block in the embodiment may include another functional block or another device.
- the exercise intensity calculation section 3 may include the pulse number measurement device 10 and pulse number calculation section 2 .
- the computer-readable storage medium mentioned here includes: an internal storage device mounted in a computer, such as ROM or RAM, a portable storage medium such as a CD-ROM, a flexible disk, a DVD disk, a magneto-optical disk, or an IC card; a database that holds computer program; another computer and database thereof; and a transmission medium on a network line.
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- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
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Applications Claiming Priority (1)
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PCT/JP2007/055499 WO2008114377A1 (ja) | 2007-03-19 | 2007-03-19 | 運動状態検出装置、運動状態検出プログラム、運動状態検出方法 |
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PCT/JP2007/055499 Continuation WO2008114377A1 (ja) | 2007-03-19 | 2007-03-19 | 運動状態検出装置、運動状態検出プログラム、運動状態検出方法 |
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US12/550,688 Abandoned US20090325766A1 (en) | 2007-03-19 | 2009-08-31 | Exercise condition detection apparatus, exercise condition detection program, and exercise condition detection method |
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Cited By (12)
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---|---|---|---|---|
US20110092337A1 (en) * | 2009-10-17 | 2011-04-21 | Robert Bosch Gmbh | Wearable system for monitoring strength training |
US20110191158A1 (en) * | 2008-08-20 | 2011-08-04 | Kateraas Espen D | Physical activity tracking and rewards allocation system |
US20110251021A1 (en) * | 2008-11-16 | 2011-10-13 | Vyacheslav Zavadsky | Method and apparatus for facilitating strength training |
US20120116719A1 (en) * | 2009-10-21 | 2012-05-10 | Omron Healthcare Co., Ltd | Body movement detection device |
US20120212340A1 (en) * | 2007-12-28 | 2012-08-23 | Immerson Corporation, a Delaware Corporation | Method and apparatus for providing communications with haptic cues |
US20140276189A1 (en) * | 2013-03-18 | 2014-09-18 | Fujitsu Limited | State determination device, state determination method, and recording medium storing state determination program |
US20140276127A1 (en) * | 2013-03-15 | 2014-09-18 | Vital Connect, Inc. | Contextual heart rate monitoring |
WO2014161028A1 (en) * | 2013-04-02 | 2014-10-09 | David Mccallum | Nutrition-pedometer |
US20140309542A1 (en) * | 2012-09-04 | 2014-10-16 | Whoop, Inc. | Determining cardiovascular intensity using heart rate data |
US20190082984A1 (en) * | 2017-09-19 | 2019-03-21 | Pixart Imaging Inc. | Method and electronic device capable of establishing personal blood pressure estimation model for specific user/person |
CN113884101A (zh) * | 2021-09-29 | 2022-01-04 | 歌尔科技有限公司 | 一种可穿戴设备的计步方法、可穿戴设备及介质 |
US11602279B2 (en) | 2012-09-04 | 2023-03-14 | Whoop, Inc. | Automated exercise recommendations |
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JP5324493B2 (ja) * | 2010-02-12 | 2013-10-23 | 日本電信電話株式会社 | 運動指標測定方法および装置 |
JP2013215346A (ja) * | 2012-04-06 | 2013-10-24 | Terumo Corp | 運動量測定装置、運動量測定システム及び運動量測定方法 |
JP2013215347A (ja) * | 2012-04-06 | 2013-10-24 | Terumo Corp | 運動量測定装置及び運動量測定方法 |
US9295413B2 (en) * | 2013-01-17 | 2016-03-29 | Garmin Switzerland Gmbh | Fitness monitor |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5018726A (en) * | 1989-08-09 | 1991-05-28 | Yorioka Gerald N | Method and apparatus for determining anaerobic capacity |
US5318487A (en) * | 1992-05-12 | 1994-06-07 | Life Fitness | Exercise system and method for managing physiological intensity of exercise |
USRE34728E (en) * | 1988-12-20 | 1994-09-13 | Heartbeat Corp. | Video game difficulty level adjuster dependent upon player's aerobic activity level during exercise |
US5362069A (en) * | 1992-12-03 | 1994-11-08 | Heartbeat Corporation | Combination exercise device/video game |
US5539706A (en) * | 1994-02-03 | 1996-07-23 | Omron Corporation | Pulsimeter provided with or without a pedometer |
US5749372A (en) * | 1995-03-02 | 1998-05-12 | Allen; Richard P. | Method for monitoring activity and providing feedback |
US5897457A (en) * | 1995-06-12 | 1999-04-27 | Mackovjak; Paul | Athletic performance monitoring system |
US5976083A (en) * | 1997-07-30 | 1999-11-02 | Living Systems, Inc. | Portable aerobic fitness monitor for walking and running |
US6213872B1 (en) * | 1997-03-10 | 2001-04-10 | Nintendo Co., Ltd. | Pedometer with game mode |
US7072789B2 (en) * | 1994-11-21 | 2006-07-04 | Phatrat Technology, Inc. | Systems for assessing athletic performance |
US20070010751A1 (en) * | 2005-07-07 | 2007-01-11 | Seiko Epson Corporation | A method for determining a right intensity of fitness level |
US20070142179A1 (en) * | 2005-12-15 | 2007-06-21 | Konami Sports & Life Co., Ltd. | Exercise-data management server apparatus and exercise-data management system |
US20080051261A1 (en) * | 2006-08-25 | 2008-02-28 | Lewis Charles A | Exercise protocols for treadmills and bicycle ergometers for exercise, diagnostics and rehabilitation |
US7618347B2 (en) * | 2003-09-04 | 2009-11-17 | Samsung Electronics Co., Ltd. | Training control method and apparatus using biofeedback |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS60192862U (ja) * | 1984-05-30 | 1985-12-21 | シャープ株式会社 | 運動管理機 |
JPH11290284A (ja) * | 1998-04-07 | 1999-10-26 | Nikkai Ns Kk | 運動管理装置 |
JP4597327B2 (ja) * | 2000-07-19 | 2010-12-15 | 大和製衡株式会社 | 人体の鼓動の測定装置 |
-
2007
- 2007-03-19 JP JP2009504977A patent/JP5310542B2/ja not_active Expired - Fee Related
- 2007-03-19 WO PCT/JP2007/055499 patent/WO2008114377A1/ja active Application Filing
-
2009
- 2009-08-31 US US12/550,688 patent/US20090325766A1/en not_active Abandoned
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
USRE34728E (en) * | 1988-12-20 | 1994-09-13 | Heartbeat Corp. | Video game difficulty level adjuster dependent upon player's aerobic activity level during exercise |
US5018726A (en) * | 1989-08-09 | 1991-05-28 | Yorioka Gerald N | Method and apparatus for determining anaerobic capacity |
US5318487A (en) * | 1992-05-12 | 1994-06-07 | Life Fitness | Exercise system and method for managing physiological intensity of exercise |
US5362069A (en) * | 1992-12-03 | 1994-11-08 | Heartbeat Corporation | Combination exercise device/video game |
US5539706A (en) * | 1994-02-03 | 1996-07-23 | Omron Corporation | Pulsimeter provided with or without a pedometer |
US7072789B2 (en) * | 1994-11-21 | 2006-07-04 | Phatrat Technology, Inc. | Systems for assessing athletic performance |
US5749372A (en) * | 1995-03-02 | 1998-05-12 | Allen; Richard P. | Method for monitoring activity and providing feedback |
US5897457A (en) * | 1995-06-12 | 1999-04-27 | Mackovjak; Paul | Athletic performance monitoring system |
US6213872B1 (en) * | 1997-03-10 | 2001-04-10 | Nintendo Co., Ltd. | Pedometer with game mode |
US5976083A (en) * | 1997-07-30 | 1999-11-02 | Living Systems, Inc. | Portable aerobic fitness monitor for walking and running |
US7618347B2 (en) * | 2003-09-04 | 2009-11-17 | Samsung Electronics Co., Ltd. | Training control method and apparatus using biofeedback |
US20070010751A1 (en) * | 2005-07-07 | 2007-01-11 | Seiko Epson Corporation | A method for determining a right intensity of fitness level |
US20070142179A1 (en) * | 2005-12-15 | 2007-06-21 | Konami Sports & Life Co., Ltd. | Exercise-data management server apparatus and exercise-data management system |
US7594873B2 (en) * | 2005-12-15 | 2009-09-29 | Konami Sports & Life Co., Ltd. | Exercise-data management server apparatus and exercise-data management system |
US20080051261A1 (en) * | 2006-08-25 | 2008-02-28 | Lewis Charles A | Exercise protocols for treadmills and bicycle ergometers for exercise, diagnostics and rehabilitation |
Cited By (25)
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---|---|---|---|---|
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US20110191158A1 (en) * | 2008-08-20 | 2011-08-04 | Kateraas Espen D | Physical activity tracking and rewards allocation system |
US20110251021A1 (en) * | 2008-11-16 | 2011-10-13 | Vyacheslav Zavadsky | Method and apparatus for facilitating strength training |
US8287434B2 (en) * | 2008-11-16 | 2012-10-16 | Vyacheslav Zavadsky | Method and apparatus for facilitating strength training |
US8500604B2 (en) * | 2009-10-17 | 2013-08-06 | Robert Bosch Gmbh | Wearable system for monitoring strength training |
US20110092337A1 (en) * | 2009-10-17 | 2011-04-21 | Robert Bosch Gmbh | Wearable system for monitoring strength training |
US9766090B2 (en) * | 2009-10-21 | 2017-09-19 | Omron Healthcare Co., Ltd. | Body movement detection device |
US20120116719A1 (en) * | 2009-10-21 | 2012-05-10 | Omron Healthcare Co., Ltd | Body movement detection device |
US10264982B2 (en) | 2012-09-04 | 2019-04-23 | Whoop, Inc. | Physiological measurement system with motion sensing |
US10182726B2 (en) * | 2012-09-04 | 2019-01-22 | Whoop, Inc. | Device for physiological monitoring and measurement |
US20140309542A1 (en) * | 2012-09-04 | 2014-10-16 | Whoop, Inc. | Determining cardiovascular intensity using heart rate data |
US11602279B2 (en) | 2012-09-04 | 2023-03-14 | Whoop, Inc. | Automated exercise recommendations |
US20160129310A1 (en) * | 2012-09-04 | 2016-05-12 | Whoop, Inc. | Device for physiological monitoring and measurement |
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US11410765B2 (en) | 2012-09-04 | 2022-08-09 | Whoop, Inc. | Continuously wearable monitoring device |
US10448849B2 (en) * | 2013-03-15 | 2019-10-22 | Vital Connect, Inc. | Contextual heart rate monitoring |
US20140276127A1 (en) * | 2013-03-15 | 2014-09-18 | Vital Connect, Inc. | Contextual heart rate monitoring |
US11678811B2 (en) | 2013-03-15 | 2023-06-20 | Vital Connect, Inc. | Contextual heart rate monitoring |
US20140276189A1 (en) * | 2013-03-18 | 2014-09-18 | Fujitsu Limited | State determination device, state determination method, and recording medium storing state determination program |
WO2014161028A1 (en) * | 2013-04-02 | 2014-10-09 | David Mccallum | Nutrition-pedometer |
US20160063888A1 (en) * | 2013-04-02 | 2016-03-03 | David MacCallum | Nutrition-Pedometer |
US20190082984A1 (en) * | 2017-09-19 | 2019-03-21 | Pixart Imaging Inc. | Method and electronic device capable of establishing personal blood pressure estimation model for specific user/person |
CN113884101A (zh) * | 2021-09-29 | 2022-01-04 | 歌尔科技有限公司 | 一种可穿戴设备的计步方法、可穿戴设备及介质 |
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JPWO2008114377A1 (ja) | 2010-07-01 |
JP5310542B2 (ja) | 2013-10-09 |
WO2008114377A1 (ja) | 2008-09-25 |
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