EP1968028A1 - Procédé pour une communication sans fil entre une unité mobile personnelle et un dispositif pour exercice individuellement adaptable - Google Patents

Procédé pour une communication sans fil entre une unité mobile personnelle et un dispositif pour exercice individuellement adaptable Download PDF

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Publication number
EP1968028A1
EP1968028A1 EP07004469A EP07004469A EP1968028A1 EP 1968028 A1 EP1968028 A1 EP 1968028A1 EP 07004469 A EP07004469 A EP 07004469A EP 07004469 A EP07004469 A EP 07004469A EP 1968028 A1 EP1968028 A1 EP 1968028A1
Authority
EP
European Patent Office
Prior art keywords
mobile device
data
transceiver interface
exercise equipment
interface device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP07004469A
Other languages
German (de)
English (en)
Inventor
Peter Schoss
Alexander Renk
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Panasonic Corp
Original Assignee
Panasonic Corp
Matsushita Electric Industrial Co 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 Panasonic Corp, Matsushita Electric Industrial Co Ltd filed Critical Panasonic Corp
Priority to EP07004469A priority Critical patent/EP1968028A1/fr
Publication of EP1968028A1 publication Critical patent/EP1968028A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • 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
    • 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
    • A63B2024/0078—Exercise efforts programmed as a function of time
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/15—Miscellaneous features of sport apparatus, devices or equipment with identification means that can be read by electronic means
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
    • A63B2225/54—Transponders, e.g. RFID

Definitions

  • the invention relates to a method and a system for wireless, bi-directional, user-individualised communication between at least one personal mobile device and at least one broadcast interface device of at least one individually exercise equipment device.
  • user-individualised information for example about personalised training cycles and the current status thereof, suitable weights or degrees of difficulty, already accomplished exercises or current body values
  • user-individualised information is transmitted to an exercise equipment device to be used.
  • the exercise equipment is automatically adjusted according to the transmitted user-individualised information and further accumulated user-individualised information, for example about the accomplished exercises with the used training device, is stored in the mobile device for statistical analysis and/or for adaption of further exercise equipment to be used.
  • a preferred embodiment of the personal mobile device 21 comprises a broadcast transceiver unit 1 for transmitting data in a wireless communication, a data processing unit 2 for processing commands, a data storage unit 3 for storing identification and user data, an internal energy supply 4 for autonomous use of the mobile device, an information unit 5 for user information, an input unit 6 and a connector 7.
  • the transceiver interface device 23 comprises a broadcast tranceiver unit 8 for transmitting data in a wireless communication, an information unit 9 for user information, an input unit 10, a data processing unit 11 and a connector 12.
  • the data processing unit 11 runs an application adapted for the specific use of the transceiver interface unit 23 in connection with an exercise equipment device.
  • FIG 2 shows a typical use of the personal mobile unit 21 in form of a wrist band carried by a user 41, e.g. in a gym or a sports centre.
  • the exercise equipment device 31, e.g. a spinning bike, is provided with different automatically adjustable workout programs. It is further provided with or in direct communication with a transceiver interface device 23.
  • the user 41 can be identified by the exercise equipment device 31 via the communication between the personal mobile device 21 and the transceiver interface device 23.
  • the automatically adjustable workout program can be set individually according to the personal data that is transmitted to the transceiver interface device 23.
  • the communication between the transceiver interface device 23 and the mobile device 21 allows the storage of statistical data such as body values, calorie consumption, etc.
  • FIG 3 shows the personal mobile device 21 acting as an repeater for another mobile device 22 that is too far away from the transceiver interface device 23 to communicate directly with it.
  • the transceiver interface device 23 is in this case connected to a computer 51 in a gym or a sports centre.
  • the transceiver interface device 23 sends data frames carrying a command request addressed to the mobile device 22.
  • the mobile device 21 receiving this data frame resubmits the data frame.
  • the mobile device 22 receives the resubmitted command and answers accordingly.
  • the answer is also amplified by the mobile device 21 to reach the transceiver interface device 23.
  • the communication protocol makes sure that there is no confusion between several data frames and copied data frames.
  • the data content of the mobile device 21 may be downloaded at another place, for example together with the coach at a central personal computer 51 or at a personal computer at home by means of a suitable interface and may be used and analysed, for example for statistical purposes, as shown in figure 4 .
  • the parameters for the exercise equipment can also be modified by the personal computer at home.
  • the suitable interface in form of a connector 7 of the mobile device 21 may be a universal serial bus (USB), a small computer system interface (SCSI), peripheral component interconnect (PCI), FireWire, or wireless communication links such as infrared or bluetooth connections.
  • Received data may be stored in the data storage unit of the mobile device in form of so-called containers.
  • a container is a memory portion with a maximal size of 65536 bytes, where arbitrary data may be stored without any format constraints.
  • Each container can be identified by a unique container number in form of a 16-bit long key.
  • Every data frame during communication with the mobile device uses a unique container number for the identification of the data. This prevents interference in case of two or more mobile devices communicating with each other and/or with one or more exercise equipment devices at the same time.
  • the container with number 0x0000 is a special container with identification data of the mobile device that can be read out during communication, but no write or delete process is allowed on container 0x0000 in the course of normal communication.
  • the identification data of the mobile device may be set in a special initialisation process in form of factory settings or during an internal actualisation process.
  • Table 1 shows the set-up of container 0x0000 where in the first 48 bits the unique identification code of the mobile device is stored. The memory size of the data storage unit is also stored. Optionally, the percentage of used memory and the battery load of the internal energy unit is also available.
  • Table 1 Set-up of container 0x0000 Address Data length [bit] Description Optional yes/no 0x000 48 Identification code of mobile device no 0 ⁇ 006 16 Memory size no 0x008 8 Percentage of used memory yes 0x009 8 Battery load yes
  • Data is transmitted in so-called frames, wherein each frame is composed of fields "preambel", “header”, “address” or “return value”, "command”, "data length”, “user data” and “check sum".
  • the preambel is a 64-bit long row of alternating bits (01010101%) and the header is the 16-bit pattern 0x0C5 or 0x05C.
  • the address is a 48-bit long identification number of a mobile unit to select a certain mobile device for communication.
  • the command is 8 bits long and determines the process type for the user data (see table 2).
  • the field "data length” holds in 8 bits the number of bytes of the user data in the field "user data”. The length of the user data in the field "user data” must not exceed 128 bytes.
  • the check sum is calculated in the data processing unit from the fields "command”, "data length” and "user data” by usage of a CRC-16 polynomial function, e.g. x 16 + x 12 + x 5 + 1.
  • Table 2 Commands Command byte Process type 0x001 Read data 0x002 Write data (append) 0x003 Write data (overwrite) 0x004 Delete container 0x081 Answer: ACKNOWLEDGED 0x082 Answer: NOT ACKNOWLEDGED
  • Every communication is conducted as a command request "Read data” (0x001), “Write data (append)” (0x002), “Write data (overwrite)” (0x003) or "Delete container” (0x004) sent to a mobile device.
  • the mobile device may answer on the permissible request by sending a command byte 0x081 that is interpreted as an acknowledged command that is conducted by the mobile device. If the command is not permissible a command byte 0x082 is send as an answer by the mobile device that is interpreted as a not acknowledged command that is not conducted by the mobile device.
  • the mobile device neither conducts the command request nor answers with a command byte 0x0081 or 0x082 if the address of the addressed mobile device in the field "address" does not correspond to its own identification code in its container 0x0000. In this case the complete command request is transmitted in an unchanged manner by the mobile unit.
  • the mobile device may act as an amplifier for a mobile device with the corresponding address.
  • Complete communication between an transceiver interface device and an addressed mobile device without overlapping broadcast range can therefore be possible through amplification by one or more other mobile units between the transceiver interface device and the addressed mobile device.
  • the transceiver interface device should be able to resubmit the command request until it receives an answer from the addressed mobile device.
  • the command request "Read data” (see table 3) is only acknowledged if the container number exists, the start address is located in the range of existing data and the size of the user data to be read is not larger than 128 bytes. If the size of the user data to be read is larger than the amount of existing data from the start address to the end of the existing data only the existing part is send within the field "user data" of the answer with command byte 0x081.
  • Table 3 User data for the command "Read data” Length Description 16 bit Container number 16 bit Start address for read process 16 bit Size of data block to be read
  • Table 4.2 shows the possibilities to answer for the mobile device on a command "Write data (append)" in form of a status value that is written to the field "user data” in the answer.
  • the command is acknowledged only in case of a successful write process in an existing or a created container. In case of a not permissible request for a write process to container 0x000, a full container or too long user data, the command is not conducted and not acknowledged. The corresponding reason is send in the field "user data" in the answer.
  • Table 4.2 Answer on the command "Write data (append)" Status value Description 0x000 Write process successful, container exists 0x001 Write process successful, container created 0x080 Write process on container 0x0000 not allowed 0x081 Container full 0x082 Data too long
  • Table 5.2 shows the possibilities to answer for the mobile device on a command "Write data (overwrite)" in form of a status value that is written to the field "user data” in the answer.
  • the command is acknowledged only in case of a successful write process in an existing or a created container. In case of a not permissible request for a write process to container 0x000, a full container or too long user data, the command is not conducted and not acknowledged. The corresponding reason is send in the field "user data" in the answer.
  • Table 5.2 Answer on the command "Write data (overwrite)" Status value Description 0x000 Write process successful, container exists 0x001 Write process successful, container created 0x080 Writing on container 0x0000 not allowed 0x081 Container full 0x082 Data too long

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Mobile Radio Communication Systems (AREA)
EP07004469A 2007-03-05 2007-03-05 Procédé pour une communication sans fil entre une unité mobile personnelle et un dispositif pour exercice individuellement adaptable Withdrawn EP1968028A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP07004469A EP1968028A1 (fr) 2007-03-05 2007-03-05 Procédé pour une communication sans fil entre une unité mobile personnelle et un dispositif pour exercice individuellement adaptable

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP07004469A EP1968028A1 (fr) 2007-03-05 2007-03-05 Procédé pour une communication sans fil entre une unité mobile personnelle et un dispositif pour exercice individuellement adaptable

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EP1968028A1 true EP1968028A1 (fr) 2008-09-10

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Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014082665A1 (fr) * 2012-11-28 2014-06-05 Polar Electro Oy Découverte de service bluetooth
CN106075839A (zh) * 2016-06-08 2016-11-09 深圳市元征科技股份有限公司 健身数据监控方法、装置及系统
US9668291B2 (en) 2015-07-13 2017-05-30 BeneGear Inc. Pairing method of gym system
US10146297B2 (en) 2014-03-06 2018-12-04 Polar Electro Oy Device power saving during exercise
US11887717B2 (en) 2019-10-03 2024-01-30 Rom Technologies, Inc. System and method for using AI, machine learning and telemedicine to perform pulmonary rehabilitation via an electromechanical machine
US11896540B2 (en) 2019-06-24 2024-02-13 Rehab2Fit Technologies, Inc. Method and system for implementing an exercise protocol for osteogenesis and/or muscular hypertrophy
US11904207B2 (en) 2019-05-10 2024-02-20 Rehab2Fit Technologies, Inc. Method and system for using artificial intelligence to present a user interface representing a user's progress in various domains
US11915816B2 (en) 2019-10-03 2024-02-27 Rom Technologies, Inc. Systems and methods of using artificial intelligence and machine learning in a telemedical environment to predict user disease states
US11923057B2 (en) 2019-10-03 2024-03-05 Rom Technologies, Inc. Method and system using artificial intelligence to monitor user characteristics during a telemedicine session
US11923065B2 (en) 2019-10-03 2024-03-05 Rom Technologies, Inc. Systems and methods for using artificial intelligence and machine learning to detect abnormal heart rhythms of a user performing a treatment plan with an electromechanical machine
US11942205B2 (en) 2019-10-03 2024-03-26 Rom Technologies, Inc. Method and system for using virtual avatars associated with medical professionals during exercise sessions
US11951359B2 (en) 2019-05-10 2024-04-09 Rehab2Fit Technologies, Inc. Method and system for using artificial intelligence to independently adjust resistance of pedals based on leg strength
US11955220B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using AI/ML and telemedicine for invasive surgical treatment to determine a cardiac treatment plan that uses an electromechanical machine
US11950861B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. Telemedicine for orthopedic treatment
US11955218B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for use of telemedicine-enabled rehabilitative hardware and for encouraging rehabilitative compliance through patient-based virtual shared sessions with patient-enabled mutual encouragement across simulated social networks
US11955223B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using artificial intelligence and machine learning to provide an enhanced user interface presenting data pertaining to cardiac health, bariatric health, pulmonary health, and/or cardio-oncologic health for the purpose of performing preventative actions
US11955221B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using AI/ML to generate treatment plans to stimulate preferred angiogenesis
US11955222B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for determining, based on advanced metrics of actual performance of an electromechanical machine, medical procedure eligibility in order to ascertain survivability rates and measures of quality-of-life criteria
US11961603B2 (en) 2019-10-03 2024-04-16 Rom Technologies, Inc. System and method for using AI ML and telemedicine to perform bariatric rehabilitation via an electromechanical machine
US11957956B2 (en) 2019-05-10 2024-04-16 Rehab2Fit Technologies, Inc. System, method and apparatus for rehabilitation and exercise
US11957960B2 (en) 2019-05-10 2024-04-16 Rehab2Fit Technologies Inc. Method and system for using artificial intelligence to adjust pedal resistance
US11978559B2 (en) 2019-10-03 2024-05-07 Rom Technologies, Inc. Systems and methods for remotely-enabled identification of a user infection

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EP1133119A2 (fr) * 2000-03-10 2001-09-12 Nokia Inc. Adaptation de service basée sur l'effet de proximité
US20060089119A1 (en) * 2002-06-03 2006-04-27 Jaakko Lipasti Method and a device for scatternet formation in ad hoc networks
US20060252602A1 (en) * 2003-10-14 2006-11-09 Brown Michael W Program and system for managing fitness activity across diverse exercise machines utilizing a portable computer system

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Publication number Priority date Publication date Assignee Title
EP1133119A2 (fr) * 2000-03-10 2001-09-12 Nokia Inc. Adaptation de service basée sur l'effet de proximité
US20060089119A1 (en) * 2002-06-03 2006-04-27 Jaakko Lipasti Method and a device for scatternet formation in ad hoc networks
US20060252602A1 (en) * 2003-10-14 2006-11-09 Brown Michael W Program and system for managing fitness activity across diverse exercise machines utilizing a portable computer system

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105122771A (zh) * 2012-11-28 2015-12-02 博能电子公司 蓝牙服务发现
WO2014082665A1 (fr) * 2012-11-28 2014-06-05 Polar Electro Oy Découverte de service bluetooth
US9648108B2 (en) 2012-11-28 2017-05-09 Polar Electro Oy Bluetooth service discovery
US9923973B2 (en) 2012-11-28 2018-03-20 Polar Electro Oy Bluetooth service discovery
CN105122771B (zh) * 2012-11-28 2019-04-12 博能电子公司 用于在蓝牙设备中提供服务的方法和装置
US10843042B2 (en) 2014-03-06 2020-11-24 Polar Electro Oy Device power saving during exercise
US11446551B2 (en) 2014-03-06 2022-09-20 Polar Electro Oy Device power saving during exercise
US10146297B2 (en) 2014-03-06 2018-12-04 Polar Electro Oy Device power saving during exercise
US10518133B2 (en) 2014-03-06 2019-12-31 Polar Electro Oy Device power saving during exercise
US9668291B2 (en) 2015-07-13 2017-05-30 BeneGear Inc. Pairing method of gym system
CN106075839A (zh) * 2016-06-08 2016-11-09 深圳市元征科技股份有限公司 健身数据监控方法、装置及系统
US11951359B2 (en) 2019-05-10 2024-04-09 Rehab2Fit Technologies, Inc. Method and system for using artificial intelligence to independently adjust resistance of pedals based on leg strength
US11957960B2 (en) 2019-05-10 2024-04-16 Rehab2Fit Technologies Inc. Method and system for using artificial intelligence to adjust pedal resistance
US11904207B2 (en) 2019-05-10 2024-02-20 Rehab2Fit Technologies, Inc. Method and system for using artificial intelligence to present a user interface representing a user's progress in various domains
US11957956B2 (en) 2019-05-10 2024-04-16 Rehab2Fit Technologies, Inc. System, method and apparatus for rehabilitation and exercise
US11896540B2 (en) 2019-06-24 2024-02-13 Rehab2Fit Technologies, Inc. Method and system for implementing an exercise protocol for osteogenesis and/or muscular hypertrophy
US11915816B2 (en) 2019-10-03 2024-02-27 Rom Technologies, Inc. Systems and methods of using artificial intelligence and machine learning in a telemedical environment to predict user disease states
US11942205B2 (en) 2019-10-03 2024-03-26 Rom Technologies, Inc. Method and system for using virtual avatars associated with medical professionals during exercise sessions
US11923065B2 (en) 2019-10-03 2024-03-05 Rom Technologies, Inc. Systems and methods for using artificial intelligence and machine learning to detect abnormal heart rhythms of a user performing a treatment plan with an electromechanical machine
US11955220B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using AI/ML and telemedicine for invasive surgical treatment to determine a cardiac treatment plan that uses an electromechanical machine
US11950861B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. Telemedicine for orthopedic treatment
US11955218B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for use of telemedicine-enabled rehabilitative hardware and for encouraging rehabilitative compliance through patient-based virtual shared sessions with patient-enabled mutual encouragement across simulated social networks
US11955223B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using artificial intelligence and machine learning to provide an enhanced user interface presenting data pertaining to cardiac health, bariatric health, pulmonary health, and/or cardio-oncologic health for the purpose of performing preventative actions
US11955221B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for using AI/ML to generate treatment plans to stimulate preferred angiogenesis
US11955222B2 (en) 2019-10-03 2024-04-09 Rom Technologies, Inc. System and method for determining, based on advanced metrics of actual performance of an electromechanical machine, medical procedure eligibility in order to ascertain survivability rates and measures of quality-of-life criteria
US11961603B2 (en) 2019-10-03 2024-04-16 Rom Technologies, Inc. System and method for using AI ML and telemedicine to perform bariatric rehabilitation via an electromechanical machine
US11923057B2 (en) 2019-10-03 2024-03-05 Rom Technologies, Inc. Method and system using artificial intelligence to monitor user characteristics during a telemedicine session
US11887717B2 (en) 2019-10-03 2024-01-30 Rom Technologies, Inc. System and method for using AI, machine learning and telemedicine to perform pulmonary rehabilitation via an electromechanical machine
US11978559B2 (en) 2019-10-03 2024-05-07 Rom Technologies, Inc. Systems and methods for remotely-enabled identification of a user infection

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