WO2017198337A1 - Module portable de capteur pour un système portable de surveillance d'entraînement ainsi que système et procédé portables de surveillance d'entraînement - Google Patents

Module portable de capteur pour un système portable de surveillance d'entraînement ainsi que système et procédé portables de surveillance d'entraînement Download PDF

Info

Publication number
WO2017198337A1
WO2017198337A1 PCT/EP2017/000602 EP2017000602W WO2017198337A1 WO 2017198337 A1 WO2017198337 A1 WO 2017198337A1 EP 2017000602 W EP2017000602 W EP 2017000602W WO 2017198337 A1 WO2017198337 A1 WO 2017198337A1
Authority
WO
WIPO (PCT)
Prior art keywords
sensor
sensors
movement
training
sensor module
Prior art date
Application number
PCT/EP2017/000602
Other languages
German (de)
English (en)
Inventor
Thomas Steiger
Torsten VÖLKL
Harald FREITAG
Original Assignee
Ivs Engineering Gbr
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=59054064&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO2017198337(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Ivs Engineering Gbr filed Critical Ivs Engineering Gbr
Priority to EP17729352.9A priority Critical patent/EP3458990A1/fr
Publication of WO2017198337A1 publication Critical patent/WO2017198337A1/fr

Links

Classifications

    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03G—SPRING, WEIGHT, INERTIA OR LIKE MOTORS; MECHANICAL-POWER PRODUCING DEVICES OR MECHANISMS, NOT OTHERWISE PROVIDED FOR OR USING ENERGY SOURCES NOT OTHERWISE PROVIDED FOR
    • F03G5/00—Devices for producing mechanical power from muscle energy
    • F03G5/06—Devices for producing mechanical power from muscle energy other than of endless-walk type
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/10—Athletes
    • 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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient

Definitions

  • Portable sensor module for a portable training monitoring system and portable training monitoring system and method
  • the invention relates to a portable sensor module for a portable system for training monitoring.
  • the invention further relates to a portable training monitoring system.
  • the invention relates to a method for training monitoring.
  • US Patent Publication US 2010/0173276 A1 discloses a training method which consists in digitizing a movement while it is being learned and comparing it with the digital pattern of a reference movement, the trainee providing direct tactile feedback to correct his movement receives if it deviates from the reference movement.
  • the method may be designed so that the reference motion is performed by an expert or is generated by computer simulation.
  • a device for implementing the described training method is disclosed.
  • the publication US 2010/0173276 A1 discloses an exclusively tactile feedback to the trainees. It has the disadvantages that a variety of actuators for the tactile Feedback to all relevant body parts must be attached, and the trainee can be given only limited to immediate directional corrections of the body parts limited instructions and no correction instructions for the overall movement sequence.
  • US 8,165,844 B2 describes a method of tracking motion of a segmented object wherein a plurality of sensor modules are attached to multiple segments of the object and collect 3D position data and SD alignment data that includes 3D position and 3D orientation of each segment calculated taking into account boundary conditions via the connection type of the segments.
  • the method can be designed so that additional auxiliary sensors are included in the calculation.
  • a system and a sensor module for carrying out the method are disclosed.
  • the document US 8,165,844 B2 gives no indication as to whether the overall system is designed so that it is portable and does not hinder an athlete in his movement. In addition, no comparison of a movement with a reference movement is disclosed, with the help of which an athlete could correct his own movement.
  • the European document EP 1 970 005 B1 describes a system and method for tracking movement via a calibration unit. This document differs from the document US 8,165,844 B2 essentially only by the introduction of a calibration unit for the calculation of calibration values for determining at least common proportions of the object parts and at least alignment parameters of the alignment measuring units. The aforementioned limitations and disadvantages therefore also apply to the document EP 1 970 005 B1.
  • the document US 2013/0002682 A1 describes an electronic device for transmitting human motion to a digital model, which is displayed as an animated image. Furthermore, an automatic comparison of the animated picture with animated standard images and an indication of corrections for deviations provided.
  • a disadvantage of the device from US 2013/0002682 A1 is that only gyroscopes are provided for determining movement, so that the results can be falsified, for example, by sensor drift. Furthermore, no real-time evaluation is mentioned, and the generated motion pictures are compared only with standard pictures that do not take into account a person's individual movement restrictions.
  • the document EP 0 793 445 B1 discloses a method and a device for the simultaneous evaluation of ambulatory-registered motion signals of different body parts of a subject, which were previously recorded with acceleration sensors attached to all monitored body parts.
  • a disadvantage of this method for training monitoring is that only the amount of movement is analyzed, whereas the form of movements essential for the detection of possible incorrect loads is not detected.
  • the object is to provide a sensor module with which the characteristic movement pattern of a trainee in normal training can be recorded in real time. This object is achieved by a sensor module according to claim 1.
  • Another object is to provide a system for monitoring training, with which deviations of a trainee from his target movement pattern can be detected during normal training and the trainees in real time can be taught.
  • a training monitoring system according to claim 10.
  • the task arises to provide a method for training monitoring, with a trainee, especially a recreational athlete, independently monitor his movement in normal training and can correct to prevent incorrect workload and resulting injuries or chronic discomfort.
  • This object is achieved by a method for training monitoring according to claim 16.
  • Training in the sense of the invention comprises the exercise and execution of any physical movement sequences and / or postures by a trainee, for example in competitive sports or recreational sports, or also in the context of physiotherapy, re- habilitation or patient monitoring, for example through age-appropriate assisted living systems ("Ambient Assisted Living”).
  • a particular form of training such as a sport or rehabilitation measure, is referred to as an "activity” in the present invention.
  • “activity-related” means conditioned by a certain activity, ie, for example, sports-related
  • a "movement pattern" in the sense of the invention may be composed of a sequence of dynamic movements and / or a number of static postures of body parts and / or sports equipment of the exerciser.
  • sports equipment is to be understood broadly in the sense of the invention, so that devices that fall from a trainee during rehabilitation measures also fall under this term or other physical activities.
  • a "trainer” within the meaning of the invention may be a human or even an animal, for example a dressage horse, jumping horse, racehorse, racing camel or racing dog.
  • a portable sensor module for a portable training monitoring system comprises a number of sensors necessary for detecting movement of body parts of a trainee, a power supply, at least one communication unit for communicating with the training monitoring system and a housing for receiving the sensors, the power supply and the at least one communication unit.
  • a sensor may be a motion sensor such as an acceleration sensor or a yaw rate sensor. Which sensors and measured values are required depends on both the movement and the activity to be monitored and on the part of the body to which the sensor module is to be attached. from. For example, the legs of a cyclist move through the fixation on the bike in one plane, so that their movement can be monitored with 2D motion sensors. In contrast, a dancer's leg movements are anatomically limited, requiring 3D motion sensors to monitor them.
  • the power supply may be, for example, a battery or a rechargeable battery with a charging option.
  • the housing may, for example, be designed as a molded part, whereby the sensor module with any shape and optionally elastic materials in a cost effective manner, in particular tight, can be enclosed.
  • the sensor module can be attached to a body part of the exerciser via Velcro straps or integrated in the clothing, for example, and is so small and light and / or designed in an ergonomic form that it does not hinder the trainee in his movement.
  • a sensor module in the format of a wristwatch, that is, with a thickness of a few millimeters, a footprint of a few square centimeters and a mass of about one hundred grams, would for example not be obstructive in most cases. In the case of a flexible sensor module, this would also apply to larger base areas.
  • the specific embodiment depends on the body part carrying the sensor module and the activity being exerted.
  • the power supply of the sensor module comprises a system for local energy recovery, for example a photovoltaic module.
  • a system for local energy production has the advantage that no external connection to the power supply or replaceable energy storage is necessary. Both are weaknesses for the mechanical stability and tightness of the housing and limitations in the design of the sensor modules, which are avoided by the local energy production. In addition, the user does not have to worry about the state of charge of an energy storage device or regularly recharge or replace the energy storage device or incur obstructions due to energy supply lines.
  • At least one sensor of a sensor module may be a microprocessor designed to calculate derived measurements from the sensor measurements, for example for data filtering and / or elimination of artifacts from relative movements between a body part or sports equipment of the exerciser and the sensor module mounted thereon, and / or or a data memory, for example a non-volatile data memory, in particular a flash memory.
  • the advantage of the microprocessor is that filtering can reduce the amount of data and improve its quality. As a result, smaller amounts of data have to be stored and / or transmitted, so that the data memory and the communication unit can be dimensioned smaller and thus smaller, lighter and cost-effective. are tiger. In addition, less energy is needed for storage and transmission, which also makes the power supply smaller, lighter, and less expensive, and makes it easier to ensure power supply through local power generation alone.
  • the data memory makes it possible to collect measured data or derived measured values and transmit them packet by packet to the training monitoring system. In this way, for example, transmission errors can be avoided by repeatedly transmitting and comparing the same data in the case of connection problems.
  • a flash memory is a particularly energy-efficient and cost-effective implementation of such a non-volatile data memory.
  • At least one sensor of a sensor module can be a motion sensor, for example an acceleration sensor and / or rotation rate sensor, in particular a gyroscope, and furthermore at least one sensor can be an auxiliary sensor, in particular a position-transceiver, magnetic field sensor, pressure sensor, force sensor, moisture sensor, temperature sensor, heart rate monitor and / or altimeter.
  • the orientation and position of a body part can be determined, for example, by the temporal integration of the rate of rotation and twice the temporal integration of the acceleration of a sensor module fixed to the body part.
  • the necessary boundary conditions can be determined from anatomical or activity-related restrictions of the movement sequence or from the measured values of auxiliary sensors such as magnetic field sensors for orientation determination in geomagnetic field or pressure sensors for controlling a contact, for example between runners foot and ground and regularly checked.
  • auxiliary sensors can provide useful metadata about the training process for training analysis.
  • the height profile of the training track can be determined with a heart rate monitor of the course of exercise of the exerciser or with an altimeter.
  • a transceiver for determining the position relative to an environment of the sensor module can be designed, for example, for satellite-based position determination, in particular by means of GPS, or, in particular within a building, for position determination by means of other radio technologies, for example ultra-wideband technology.
  • the system for local energy production of a sensor module can be designed, for example, for converting mechanical energy, thermal energy, the effect of magnetic induction and / or electromagnetic radiation into electrical energy.
  • Mechanical energy can be used for example by piezo elements, electromagnetic radiation by photovoltaic cells.
  • the energy supply can contain an energy store, for example an accumulator and / or a capacitor.
  • the power supply of a sensor module can be a control element for the movement-dependent automatic switching on and / or off, for activating and / or deactivating a power saving mode and / or for automatically adjusting the sampling rate and / or the transmission rate of the sensor module and / or a manual on / off switch include.
  • These embodiments have the advantage that they can increase the energy efficiency of the sensor module, so that the power supply can be small, lightweight and inexpensive dimensioned.
  • the sampling rate for example, a high sampling rate for one-off movements is necessary, whereas the sampling rate for cyclic movements can be reduced. For example, possible
  • the sensor module advantageously without manual on-off switch or with a capacitive on / off switch, for example, which is mounted so that through him the surface of the Housing is not broken, be designed.
  • a manual on / off switch can also be protected by a cover.
  • the communication unit of a sensor module can be designed for wireless communication standards, for example Bluetooth, Bluetooth low energy and / or WLAN. It may further comprise an antenna.
  • the sensor module may advantageously comprise means for shielding the antenna and sensors from each other.
  • the shielding means may for example be a metal foil between the antenna and sensors.
  • the advantage of wireless communication is the avoidance of complex and error-prone wiring between the sensor module and the training monitoring system, which could also restrict the exerciser's freedom of movement.
  • inexpensive and well-characterized standard components can be used to implement the communication unit. That with- Shielding can prevent interfering interference between the antenna and sensors and resulting errors in data acquisition and / or measurement transmission.
  • the housing of a sensor module can be splash-proof, waterproof, washable and / or machine-washable. This ensures on the one hand that the sensor module is not damaged in outdoor or water sports by contact with water and / or other liquids. Washability also makes it possible to integrate sensor modules into garments that can be washed together with the sensor modules.
  • the housing of a sensor module can comprise at least one connection designed for data communication and / or for supplying the power supply, for example a USB connection, in particular a micro USB connection.
  • the housing of the sensor module may include a mounting system for attaching the sensor module to a body part and / or sports equipment of the exerciser.
  • the fastening system is designed in the form of at least one suction connection, adhesive connection, a rubber band, Velcro tape, Neoprene band, ⁇ sensystems and / or push button system.
  • a fastening system has the advantage that relative movements between see a body part or sports equipment of the exerciser and the attached thereto
  • the sensor module could also be integrated in the clothing of the exerciser, for example by sewing, by a push button system, by a Velcro connection and / or in pockets.
  • a push-button system should have at least two juxtaposed ports on the sensor module against rotation.
  • a push-button system could also be a releasable connection to an external power supply in addition to an attachment.
  • the housing of the sensor module may comprise at least one display device, in particular an LED display, which is designed in particular for displaying an operating state of the sensor module.
  • a display has the advantage that the exerciser can recognize at a glance possible malfunction of the sensor module.
  • the display unit may be a screen for textual and / or graphical representation of the operating state and / or other information, for example, whether the sensor module currently located at a position corresponding to a desired movement pattern and / or in which direction it would have to be moved to this position include.
  • the housing can be designed as a molded part and / or at least partially flexible.
  • the design as a molded part allows a simple and inexpensive encapsulation of the sensor module.
  • An at least partially flexible housing has the advantage that it is less prone to breakage and less hindering the movement of the trainee as a rigid housing.
  • the sensor module can be constructed in particular fully integrated. Fully integrated in the sense of the invention means that all electronic components are firmly installed on a circuit board. Alternatively, the sensor module is also constructed so that individual components are modular, in particular releasably connected to each other. The fully integrated structure has the advantage of a very high reproducibility and Miniatuhsieriana in the production.
  • the modular design has the advantage that, depending on the activity and body part, precisely the necessary components can be installed in a sensor module in a simple manner. In this way, from a limited number of standardized and thus inexpensive components for each application, the optimal sensor module can be constructed.
  • a wearable training monitoring system comprises at least a plurality of sensors necessary at least for detecting movement of body parts of a trainee, each of which comprises a number of sensors on two, three, four, five or more body parts or one, two, three, four or more more body parts and at least one sports equipment of a trainee is attachable.
  • the number of sensor-monitored parts of the body increases the possibility of precisely monitoring and evaluating even complex body movements.
  • the system comprises at least one computing unit communicatively connected to the sensors, wherein the arithmetic unit is designed to correlate the actual measured values of the sensors to an actual movement pattern and to compare the actual movement pattern of the exerciser with a desired movement pattern.
  • the system comprises at least one output unit communicatively connected to the arithmetic unit.
  • the arithmetic unit has at least one data interface which is designed to read in at least body characteristics and activity of the exerciser and to retrieve suitable target movement patterns from a database into the memory of the arithmetic unit.
  • the output unit of the system for outputting an at least optical and / or acoustic signal is designed in real time for deviations between actual movement pattern and target movement pattern to the trainees for correcting his movement.
  • the advantage of the data interface is that it allows the trainee to independently obtain a target movement pattern suitable for the trainee and his activity without a trainer.
  • the advantage of an output unit according to the invention is that the trainee receives comprehensive information in real time, that is to say in a shorter time than an activity-typical movement cycle, in order to correct his movement sequence.
  • At least one sensor of the system may be a movement sensor, in particular an acceleration sensor and / or yaw rate sensor, for example a gyroscope, and in particular at least one sensor may be an auxiliary sensor, for example a position-finding transceiver, magnetic field sensor, pressure sensor, force sensor, humidity sensor, temperature sensor, Be a heart rate monitor and / or altimeter.
  • the orientation and position of a body part can be determined, for example, by the temporal integration of the rotational rate and twice the temporal integration of the acceleration on the body part of fixed sensors.
  • the necessary boundary conditions can be determined from anatomical or activity-related restrictions of the movement sequence or from the measured values of auxiliary sensors such as magnetic field sensors for orientation determination in geomagnetic field or pressure sensors for controlling a contact, for example between runners foot and ground and regularly checked.
  • auxiliary sensors can record useful metadata about the training history for the training analysis.
  • the height profile of the training track can be determined with a heart rate monitor of the course of exercise of the exerciser or with an altimeter.
  • At least one sensor of the system may be a microprocessor adapted to calculate derived measurements from the sensor readings, for example, for data filtering and / or elimination of artifacts from relative movement between a body part or sports equipment of the exerciser and the sensor module mounted thereon, and / or a data memory, for example a non-volatile data memory, in particular a flash memory.
  • the advantage of the microprocessor is that filtering can reduce the amount of data and improve its quality. As a result, smaller amounts of data must be stored and / or transmitted, so that the data memory and the communicative connection to the arithmetic unit can be dimensioned smaller and thus smaller, lighter and less expensive. In addition, less energy is needed for storage and transmission, so that the power supply is smaller, lighter and cheaper.
  • the data memory makes it possible to collect measured values or derived measured values and transmit them packet by packet to the arithmetic unit. In this way, for example, transmission errors can be avoided by repeatedly transmitting and comparing the same data in the case of connection problems.
  • a flash memory is a particularly energy-efficient and cost-effective embodiment of such a non-volatile data memory.
  • At least one sensor of the system can be wirelessly communicatively connected to the computing unit, the connection corresponding, for example, to known communication standards, in particular Bluetooth, Bluetooth low energy and / or WLAN.
  • known communication standards in particular Bluetooth, Bluetooth low energy and / or WLAN.
  • the use of wireless communication avoids a complex and error-prone wiring between see sensor and computing unit, which could also limit the freedom of movement of the exerciser.
  • inexpensive and well-characterized standard components can be used to implement the connection.
  • At least one sensor of the system may comprise a power supply, in particular a control element designed for movement-dependent automatic switching on and / or off, for activating and / or deactivating a power-saving mode and / or for automatically adapting the sampling rate and / or the transmission rate of the sensor may include a manual on / off switch.
  • the embodiments have the advantage that they can increase the energy efficiency of the sensor, so that its power supply can be small, lightweight and inexpensive dimensions.
  • the sampling rate for example, a high sampling rate for one-off movements is necessary, whereas the sampling rate for cyclic movements can be reduced.
  • the energy supply can be an energy store, for example a battery mulator and / or capacitor.
  • the sensor can be advantageously designed without mechanical or manual on / off switch.
  • At least one sensor of the system can be designed in the form of a sensor module according to the invention, whereby the advantages mentioned in the description of the sensor module are realized.
  • the system may include a synchronization module designed for synchronizing the sensors and the arithmetic unit to a deviation of less than 10 ms, in particular a radio synchronization module.
  • a synchronization module designed for synchronizing the sensors and the arithmetic unit to a deviation of less than 10 ms, in particular a radio synchronization module.
  • the integration of such a synchronization module has the advantage that the measured values of several sensors can be combined into a single movement pattern without artifacts due to time shifts.
  • At least one of the sensors, the computing unit and / or the output unit of the system can be contained in at least one portable computing device, for example a smartphone, a tablet, an activity tracker, a sports watch and / or a smartwatch. This embodiment provides for the use of standard equipment, especially if the trainee anyway has these devices, for a significant cost reduction in the production and / or purchase of the system.
  • the existing in the computer device sensors such as transceivers for position determination and / or position sensors, so in the system for training monitoring can be integrated.
  • the system may be communicatively connected to a web application or desktop application, such as through the internet connection of a smartphone.
  • a web application or desktop application such as through the internet connection of a smartphone.
  • the system configuration, the loading of measurement data, motion patterns and / or metadata and / or evaluations can be carried out in a more comfortable manner than on a portable device.
  • results of the evaluations and / or training suggestions can be presented more comprehensively.
  • the web or desktop application may allow an indication of the actual motion patterns, particularly in comparison to associated target motion patterns and / or the metadata.
  • the display can be, for example, a, in particular animated, schematic, graphical representation of the trainee and / or a textual representation of each detected at a time angle between Body parts include.
  • the actual movement pattern in its time course, possibly accelerated or slowed down, is played and can advantageously be stopped at any time.
  • advantageously associated metadata and / or desired values, in particular parallel and / or superimposed to the actual movement pattern can be displayed.
  • the application can give the trainee as "virtual trainer" correction hints to his actual movement patterns and / or training suggestions for the improvement of the actual motion patterns.
  • Several sensors of the system may be connected to a common power supply, a common microprocessor, a common data memory and / or a common communication unit for communication with the computing unit and / or a synchronization module.
  • the communication unit can support wireless communication, in particular known communication standards, for example Bluetooth, Bluetooth low energy and / or WLAN.
  • a training monitoring method comprises the following steps:
  • ⁇ Output of an at least tactile, optical and / or acoustic correction signal in the event of a deviation between desired movement pattern and actual movement pattern in real time by the arithmetic unit via a communicable connected to the computing unit portable output unit to the trainees to correct his movement.
  • the advantage of retrieving a target movement pattern from a database is that it allows the trainee to independently obtain a target movement pattern suitable for the trainee and his activity without a trainer.
  • the advantage of an output of a correction signal according to the invention is that the trainee receives comprehensive information in real time, that is to say in a shorter time than an activity-typical movement cycle, in order to correct his movement sequence.
  • the correction signal may comprise, for example, a vibration tactile perceptible by the exerciser, a pictorial or textual instruction for correcting the movement pattern, and / or an audible warning signal and / or voice reproduction of a correction instruction, which may in particular be output by the arithmetic unit.
  • a tactile correction signal can in particular be designed according to the document US 2010/0173276 A1 and an optical correction signal, for example, according to the document US 2013/0002682 A1, the embodiments of which are incorporated herein by reference.
  • movement of sports equipment of the exerciser can also be incorporated into the determination of an actual movement pattern.
  • sports equipment such as a kite, paraglider, high jump bar, tennis racket or golf club; of skis, ski poles, paddles, skulls or belts, essential for sporting success. Therefore, it is advantageous if, together with the body movement of the exerciser and the movement of his sports equipment is detected.
  • the method can be designed such that the minimum number of sensors used to determine a characteristic actual movement pattern is used becomes.
  • the selection and positioning of the sensors can take place by utilizing symmetry properties of the body, anatomical boundary conditions and / or activity-related boundary conditions of the movement sequence.
  • sensors could be attached to only one arm and one leg and to the trunk and / or pelvis, and the movement of the respective other arm and leg could be developed for reasons of symmetry.
  • This refinement has the advantage that the use of the smallest possible number of sensors minimizes the costs of the method and the amount of measured values to be transmitted and processed. Fewer readings, in turn, require less transmission power, processing power, and energy to implement the method.
  • the amount of data to be transferred and processed can also be reduced by measuring sensors mounted on different parts of the body at different sampling rates. By being in places of high dynamics, for example on the foot. a runner is measured at a higher sampling rate than in places of lesser dynamics, for example, on the trunk of a runner, can be determined with the smallest possible data volume as comprehensive as possible movement pattern.
  • At least one movement sensor and / or auxiliary sensor can determine measured values derived from the actual measured values, in particular by data filtering, in particular methods of PID control, sensor fusion using Kalman filtering, Madgwick filtering, fuzzy logic and / or self-learning algorithms , For example, neural networks are used.
  • data filtering in particular methods of PID control, sensor fusion using Kalman filtering, Madgwick filtering, fuzzy logic and / or self-learning algorithms , For example, neural networks are used.
  • the use of derived measurements has the advantage that the amount of data to be transmitted and treated can be reduced, so that transmission and further treatment can be implemented more energy-efficiently and / or more quickly.
  • the quality of the measured values can be improved by filtering artifacts from relative movements between a body part or sports equipment and the sensor attached thereto.
  • missing actual measured values for example due to a temporarily failed or lost sensor
  • the method may comprise recognizing a loss of a motion sensor and / or auxiliary sensor, wherein the arithmetic unit recognizes, for example due to missing and / or inconsistent actual measured values of a sensor, that this sensor has been lost and advantageously transmits a corresponding warning to the trainee. If the lost sensor has a transceiver for position determination and a communication unit, the sensor can transmit its position to the trainee, for example via the arithmetic unit, so that the trainee can quickly find the sensor again.
  • the motion sensors and / or auxiliary sensors and the arithmetic unit can be synchronized to a deviation of less than 10 ms.
  • the advantage of synchronizing is that the readings of multiple sensors can be combined into a single motion pattern without the need for time-shifting artifacts.
  • a training monitoring system according to the invention can be used, whereby the advantages mentioned in its description become possible.
  • the arithmetic unit may also include actual measured values and / or derived measured values of auxiliary sensors, symmetry properties of the body of the exercising person, anatomical boundary conditions and / or activity-related boundary conditions of the movement sequence in addition to the actual measured values and / or derived measured values of the motion sensors.
  • the anatomical boundary conditions can be stored in the form of a biomechanical model of humans.
  • the orientation and position of a body part can be determined, for example, by the temporal integration of the rate of rotation and twice the temporal integration of the acceleration of a sensor fixed to the body part.
  • the necessary boundary conditions can be determined from anatomical or activity-related restrictions of the movement sequence or from the measured values of auxiliary sensors such as magnetic field sensors for orientation determination in geomagnetic field or pressure sensors for controlling a contact, for example between runners foot and ground and regularly checked.
  • This embodiment makes it possible to determine a characteristic movement pattern with a minimum number of motion sensors and thus the costs of the method to keep low.
  • the measured values of the motion sensors can be checked and corrected using the additional data.
  • the determination of a characteristic movement pattern consists of angle measurement and determination of posture.
  • the purpose of the angle measurement is to determine the three-dimensional angles of body segments continuously with respect to the solder.
  • an important measurement parameter is the angle information between the body segments.
  • the angle data provides information about the posture and is an integral part of the sports movement analysis.
  • the temporal course of the collected data serves as a basis for an assessment of the movements carried out.
  • the characteristic movement phases can only be recorded for individual body segments or for the entire body, depending on the number and location of the sensor.
  • the arithmetic unit can record the actual movement pattern and / or together with the actual movement pattern via the auxiliary sensors training-relevant metadata, such as pulse and / or sweat production of the exerciser and / or a height profile of the training track record.
  • the advantage of the recording is that the training process can be analyzed afterwards and, for example, several training sessions can be compared with each other. Additional metadata will make the statement increased by the records.
  • the recording can take place locally in the arithmetic unit or in a database independent of the arithmetic unit, in particular an online database.
  • An advantage of an online database is that the trainee can access his recorded data at any time and from anywhere after the training.
  • the trainer or a trainer can enter the target movement pattern by executing reference movements in the arithmetic unit.
  • the advantage of this embodiment is that the trainee with a trainer can create a target or target movement, which he stores after successful completion. Thus, the individuality of the movement is satisfied.
  • a healthy and effective exercise can be different in different people.
  • athletes with injuries or handicaps may possibly only be led to a suboptimal pattern of movement, which, in their view, nevertheless represents the maximum healthy and effective pattern.
  • the trainee can enter his or her physical characteristics, activity and / or training preferences via an input device communicatively connected to the arithmetic unit to the arithmetic unit, so that the arithmetic unit retrieves a desired movement pattern suitable for the input from a database, for example an online database.
  • a database for example an online database.
  • the database can be constantly supplemented by body features, activities and / or exercise preferences associated with actual movement patterns and / or metadata of exercisers. Such a database connection allows the trainee to independently find the optimal individualized target movement pattern for his training.
  • suitable selection tables for example body measurements, age, gender, weight, training parameters such as speed and / or incline, and / or kinematic parameters
  • database usage can be optimized.
  • the basis of the database can be, for example, specific body measurements from textbooks and / or standard tables. The optimization for a more social and timely database can be done using the entered user data.
  • the arithmetic unit can retrieve appropriate training suggestions from a database, in particular an online database, for target movement patterns and associated actual movement patterns and in particular metadata in real time and / or after training, and display this to the exerciser via the output unit.
  • a database in particular an online database
  • the advantage of this embodiment form is that the trainee, even without a trainer, receives important hints on how his further training can be designed so that he progressively gets closer to his optimal movement.
  • the motion sensors and / or auxiliary sensors can be calibrated statically, for example by zero point correction, determination of the start orientation and / or query of the local declination and geomagnetic field strength at a declination server.
  • the motion sensors can be calibrated dynamically, for example by rotation about an isolated axis and / or rotation in 90 ° steps and / or a cube movement and / or a temperature profile correction.
  • the relative position of the motion sensors can be calibrated in the form of an anatomical calibration, for example by performing a defined movement of the exerciser and / or measuring the body of the exerciser.
  • a jumping-in motion for automatically determining the sensor position within a »seg- mentes by exploiting the angular momentum conservation theorem and / or trigonometry, the
  • the calibration of the sensors and / or of the system increases the accuracy of the sensor measured values and thus improves the informative value of the actual movement pattern determined therefrom and possible deviations from the desired movement pattern.
  • the arithmetic unit can transmit target movement patterns and actual movement patterns to the display unit in real time or after training for the purpose of graphic representation, the representation taking place, for example, in the form of a superimposed pattern of the body of the trainee for target movement patterns and actual movement patterns.
  • deviations between the desired movement pattern and the actual movement pattern can be highlighted, for example, in color, in particular in the form of a traffic light system.
  • the advantage of this embodiment is that the trainee an easy-to-capture feedback receives over its entire actual movement pattern and its deviations from the target movement pattern.
  • the invention includes, among other things, an automated body-worn measurement system and its use for analysis of body movement during, for example, running.
  • the system is capable of mobile detection of the body posture and over a longer period of time. As a result, a significant improvement in the movement of the trainee is made possible with regard to the medical boundary conditions specified for him.
  • An entry-level set of 3 to 5 sensors can analyze the movement of individual parts of the body such as the arm, leg and shoulder-back. The exerciser can then focus on these areas during training. A whole body analysis is also possible with a corresponding number of sensors.
  • the data can be recorded, for example, using a smartphone or separately available data logger. In addition, important information can be given to the trainee in real time.
  • the invention can be applied to additional sports.
  • Other possible areas of application include swimming, cycling, walking and inline skating; in athletics sprint, cross country, long jump, high jump, high bar jump, hurdles, javelin, hammer throw, discus throw and shot put; speed skating, figure skating, slalom, parallel slalom, downhill skiing, cross-country skiing, ski jumping and biathlon; in aviation paragliding and hang gliding; basketball, volleyball, handball, tennis, badminton, hockey and golf; in martial arts karate, taekwondo and judo; Rowing, canoeing and kayaking in water sports; In the animal sport dressage, show jumping, horse racing, camel racing and dog racing as well as other Olympic sports such as floor gymnastics, gymnastics, weightlifting and fencing.
  • the invention can bring great benefits.
  • the recording of movement and timely feedback to the exerciser or patient is of immense importance for the recovery process, for example by reducing the risk of injury in the case of sensitive and / or previously injured exercise. which is lowered without constant care by a therapist or trainer.
  • the symmetrical execution of movements can be monitored in order to prevent imbalances.
  • the problem often occurs that patients in everyday life, as opposed to therapy sessions predominantly. use her non-paralyzed body side, which can cause overstrain injuries on the healthy side and further weakening on the paralyzed side of the body.
  • the invention can be used to continuously compare the partial movement patterns of the right and left body halves. By alerting the patient or exerciser in case of deviations in real time, it is possible, in particular in everyday life, to achieve as even as possible a load on both sides of the body.
  • Figure 1 is a schematic embodiment of a portable sensor module according to the invention for a portable system for training monitoring.
  • FIG. 2 shows a schematic embodiment of a portable training monitoring system according to the invention
  • Fig. 3 shows a further schematic embodiment of a portable system according to the invention for training monitoring
  • FIG. 4 shows a further schematic embodiment of a portable system according to the invention for training monitoring
  • Fig. 5 shows a schematic embodiment of the communicative connections of the sensors of a portable system according to the invention for training monitoring
  • Fig. 6 shows a schematic embodiment of the method according to the invention for training monitoring.
  • the sensor module 100 includes a communication unit 130 for wireless communication with a training monitoring system. To the communication unit, an antenna 131 is connected, which is separated from the sensors 1 0, for example by a metal foil as a means for shielding 132.
  • the sensor module 100 includes a power supply 120, for example, a photovoltaic cell as a system for local power generation 121, an energy storage 124, for example in the form of an accumulator, a manual on / off switch 123 and a control element 122 for automatically switching on the sensor module during movement and off exists in peace.
  • the sensor module 100 is enclosed by a housing 140, which has a microUSB connection 141 and a fastening system 142, for example in the form of two pushbuttons, which can be fixed by way of a suitable counterplate, for example on a clothing item of the trainee.
  • a traffic light-like arrangement of three LEDs on the housing 140 which can provide the trainee as an exemplary display unit 143 with information about the operating state of the sensor module 100.
  • the connections of the components of the sensor module to each other for communication and power supply are not shown.
  • FIG. 2 schematically shows a portable system for training monitoring 200 according to the invention.
  • the illustrated exemplary embodiment comprises five sensor modules 100, one of which is attached to the thigh and lower leg of a leg, to the opposite upper and lower arm and to the torso of a trainee T.
  • the sensor modules 100 communicate, for example, wirelessly with a portable computer device 250, for example in the form of a smartphone, which unites the arithmetic unit 220 and the output unit 230.
  • FIG. 3 schematically shows a further portable monitoring system 200 according to the invention.
  • a sensor module 100 is fixed to a sports device SG, for example a tennis racket.
  • a further sensor module is attached to the upper and lower arm, with which a trainee T holds the sports equipment SG, as well as in the upper and lower torso area of the exerciser T.
  • the sensor modules 100 communicate wirelessly with a portable computing device 250 that unites the computing unit 220 and the output unit 230.
  • the computing device 250 may advantageously be attached to the exerciser T in the form of a smartwatch on the arm that does not hold sports equipment.
  • FIG. 4 schematically shows another portable monitoring system 200 according to the invention.
  • the exerciser T is not a human but a quadruped, for example a horse.
  • the movement pattern of a horse can be monitored, for example, to recognize the correct execution of dressage poses or the lame of a leg early.
  • the sensor module 100 on the fuselage can be fixed, for example, on the saddle or girth, the remaining sensor modules 100, for example, on Velcro strips.
  • the sensor modules 100 wirelessly communicate with a portable computing device 250 that unites the computing unit 220 and the output unit 230.
  • the computing device 250 may be in the form of a laptop at the edge of the training area so that a trainer can monitor the movement of the quadruped in real time.
  • Particularly advantageous for equitation is the attachment of a sensor module 100 on the horse's head, since the orientation of the head of the horse defines the viewing and moving direction. For example, in show jumping the head alignment is important to assess whether the horse is aiming for an obstacle correctly and / or whether the rider gives the horse enough reins, ie clearance.
  • a sensor module 100 may be arranged in a bridle (not shown) of the horse or in a preferably detachable attachment therefor.
  • FIG. 5 shows possible communicative connections of the sensors 210 of the trabgarian system for training monitoring 200.
  • the sensors 210 may be connected directly or via a common communication unit 130 to the arithmetic unit 220 and the synchronization module 240.
  • FIG. 6 shows an exemplary schematic embodiment of the training monitoring method 300 according to the invention, which comprises the following steps. First of all, the detection 310 of actual measured values is carried out by a plurality of sensors 210 necessary for detecting a movement of body parts of a trainee. Then, the determination 311 of derived measured values takes place from the actual measured values by the sensors 210. Advantageously, this is achieved by filtering the amount of data is reduced and the data quality is improved.
  • the transmission 320 of the derived measurements to a portable computing device 220 occurs, for example, through a wireless connection, thereby eliminating error-prone and cumbersome wired connections.
  • the determination 330 of an actual movement pattern of the exerciser from the derived measured values as well as biomechanical and activity-related boundary conditions is carried out by the arithmetic unit 220.
  • the inclusion of the boundary conditions makes it possible to reduce the number of measured values necessary for a characteristic movement pattern.
  • the retrieval 340 of a target movement pattern from a database is carried out by the data interface 221 of the arithmetic unit 220. In this way, the trainee can independently obtain a trainee and his activity appropriate target movement pattern without trainer.
  • the arithmetic unit 220 performs the comparison 350 of target movement patterns and actual movement patterns. Finally, by means of the arithmetic unit 220, in the event of a deviation between the desired movement pattern and the actual movement pattern, the output 360 of, for example, an optical correction signal is displayed in real time via an output unit 230. The trainee can immediately correct his or her movement during training and prevent potential incorrect loading.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Epidemiology (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'invention concerne un module portable de capteur (100) pour un système portable de surveillance d'entraînement ainsi qu'un système (200) et un procédé (300) portables de surveillance d'entraînement. Le module portable de capteur (100) comprend un certain nombre de capteurs (110 ) qui sont nécessaires au moins pour détecter le mouvement de parties du corps d'une personne s'exerçant (T), une alimentation électrique (120), une unité de communication (130) et un boîtier (140). L'alimentation électrique (120) comprend un système de génération locale d'énergie (121). Le système portable de surveillance d'entraînement (200) comprend une pluralité de capteurs (210) qui sont nécessaires au moins pour détecter un mouvement de parties de corps d'une personne s'exerçant (T), un certain nombre de capteurs (210) pouvant être attachés à au moins deux parties du corps ou bien à un engin de sport (SG) de la personne s'exerçant (T). Le système (200) comprend au moins une unité de calcul (220) reliée de manière communicative aux capteurs (210), l'unité de calcul (220) étant conçue pour corréler les valeurs réelles de mesure des capteurs (210) à un modèle de mouvement réel et pour comparer les données de mouvement réelles de la personne s'exerçant (T) avec un modèle de mouvement de consigne. Le système (200) comprend au moins une unité de sortie (230) reliée de manière communicative à l'unité de calcul (220). L'unité de calcul (220) est dotée d'au moins une interface de données (221) conçue pour lire au moins les caractéristiques du corps et l'activité de la personne s'exerçant (T) et pour récupérer des modèles de mouvement de consigne appropriés à partir d'une base de données. En outre, l'unité de sortie (230) du système est conçue pour sortir un signal optique et/ou acoustique en temps réel en cas d'écart entre le modèle de mouvement réel et les modèles de mouvement de consigne.
PCT/EP2017/000602 2016-05-20 2017-05-19 Module portable de capteur pour un système portable de surveillance d'entraînement ainsi que système et procédé portables de surveillance d'entraînement WO2017198337A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP17729352.9A EP3458990A1 (fr) 2016-05-20 2017-05-19 Module portable de capteur pour un système portable de surveillance d'entraînement ainsi que système et procédé portables de surveillance d'entraînement

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102016006099.9 2016-05-20
DE102016006099.9A DE102016006099B4 (de) 2016-05-20 2016-05-20 Verfahren zur Trainingsüberwachung

Publications (1)

Publication Number Publication Date
WO2017198337A1 true WO2017198337A1 (fr) 2017-11-23

Family

ID=59054064

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2017/000602 WO2017198337A1 (fr) 2016-05-20 2017-05-19 Module portable de capteur pour un système portable de surveillance d'entraînement ainsi que système et procédé portables de surveillance d'entraînement

Country Status (3)

Country Link
EP (1) EP3458990A1 (fr)
DE (1) DE102016006099B4 (fr)
WO (1) WO2017198337A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108143404A (zh) * 2017-12-28 2018-06-12 成都三朵云科技有限公司 一种测量心率数据方法和系统
US20200093418A1 (en) * 2018-09-21 2020-03-26 Kineto Tech Rehab SRL System and method for optimized monitoring of joints in physiotherapy
CN111714334A (zh) * 2020-07-13 2020-09-29 厦门威恩科技有限公司 一种上肢康复训练机器人及控制方法
CN111898174A (zh) * 2020-07-31 2020-11-06 北京大学 基于标准化模块及磁学式互连的自由可重构系统
WO2021115505A1 (fr) * 2019-12-11 2021-06-17 Ged Gesellschaft Für Elektronik Und Design Mbh Dispositif d'entraînement du sens de l'équilibre
CN114100104A (zh) * 2021-11-12 2022-03-01 香港大学深圳医院 一种训练记录提醒装置及运动检测设备

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102017125189B4 (de) * 2017-10-27 2019-05-23 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. System zur Unterstützung einer Bewegungsübung einer Person mit einem Objekt, Verfahren und Computerprogrammprodukt
DE102018112447A1 (de) * 2018-05-24 2019-11-28 Ottilie Ebert Sensoreinheit zur Messung der Körperhaltung eines Nutzers
DE102021205376A1 (de) 2021-05-27 2022-12-01 Robert Bosch Gesellschaft mit beschränkter Haftung System zum Erkennen von Armbewegungen eines Arms einer Person

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0793445B1 (fr) 1994-08-15 2003-11-26 Polar Electro Oy Procede et dispositif pour analyser d'une maniere simultanee les mouvements de differentes parties du corps d'un individu
US20100173276A1 (en) 2007-06-18 2010-07-08 Maxim Alexeevich Vasin Training method and a device for carrying out said method
US8165844B2 (en) 2007-03-15 2012-04-24 Xsens Holding B.V. Motion tracking system
US20130002682A1 (en) 2011-06-30 2013-01-03 Hon Hai Precision Industry Co., Ltd. Electronic device with function of mapping human movement to digital model and method thereof
US20130110011A1 (en) * 2010-06-22 2013-05-02 Stephen J. McGregor Method of monitoring human body movement
US20150305665A1 (en) * 2010-09-21 2015-10-29 Somaxis Incorporated Methods for assessing and optimizing muscular performance including a controlled activity training protocol

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102014014017A1 (de) * 2014-09-26 2016-03-31 HS Innovation GmbH Tragbares Bewegungsanalysesystem
DE202015005645U1 (de) * 2015-08-14 2015-09-02 Nordin Kouache Funktionsbekleidung mit taktilem Reizmodul und EMG-Elektrode
DE202015001313U1 (de) * 2015-02-18 2015-04-17 Ronge Tall Vorrichtung und System zum Empfang vom EMG-Signalen und/oder übermitteln von EMS-Signalen an einen menschlichen Körper um ihn zu trainieren

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0793445B1 (fr) 1994-08-15 2003-11-26 Polar Electro Oy Procede et dispositif pour analyser d'une maniere simultanee les mouvements de differentes parties du corps d'un individu
US8165844B2 (en) 2007-03-15 2012-04-24 Xsens Holding B.V. Motion tracking system
EP1970005B1 (fr) 2007-03-15 2012-10-03 Xsens Holding B.V. Système et procédé du suivi du mouvement en utilisant une unité d'étalonnage
US20100173276A1 (en) 2007-06-18 2010-07-08 Maxim Alexeevich Vasin Training method and a device for carrying out said method
US20130110011A1 (en) * 2010-06-22 2013-05-02 Stephen J. McGregor Method of monitoring human body movement
US20150305665A1 (en) * 2010-09-21 2015-10-29 Somaxis Incorporated Methods for assessing and optimizing muscular performance including a controlled activity training protocol
US20130002682A1 (en) 2011-06-30 2013-01-03 Hon Hai Precision Industry Co., Ltd. Electronic device with function of mapping human movement to digital model and method thereof

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108143404A (zh) * 2017-12-28 2018-06-12 成都三朵云科技有限公司 一种测量心率数据方法和系统
US20200093418A1 (en) * 2018-09-21 2020-03-26 Kineto Tech Rehab SRL System and method for optimized monitoring of joints in physiotherapy
WO2021115505A1 (fr) * 2019-12-11 2021-06-17 Ged Gesellschaft Für Elektronik Und Design Mbh Dispositif d'entraînement du sens de l'équilibre
CN111714334A (zh) * 2020-07-13 2020-09-29 厦门威恩科技有限公司 一种上肢康复训练机器人及控制方法
CN111714334B (zh) * 2020-07-13 2022-08-05 厦门威恩科技有限公司 一种上肢康复训练机器人及控制方法
CN111898174A (zh) * 2020-07-31 2020-11-06 北京大学 基于标准化模块及磁学式互连的自由可重构系统
CN114100104A (zh) * 2021-11-12 2022-03-01 香港大学深圳医院 一种训练记录提醒装置及运动检测设备
CN114100104B (zh) * 2021-11-12 2023-01-24 香港大学深圳医院 一种训练记录提醒装置及运动检测设备

Also Published As

Publication number Publication date
EP3458990A1 (fr) 2019-03-27
DE102016006099A1 (de) 2017-11-23
DE102016006099B4 (de) 2018-10-11

Similar Documents

Publication Publication Date Title
DE102016006099B4 (de) Verfahren zur Trainingsüberwachung
Camomilla et al. Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review
US20200352477A1 (en) Human and animal physiological comparatives, communication and developers tool kit
DE102011121259B3 (de) Verfahren und Vorrichtung zur mobilen Trainingsdatenerfassung und Analyse von Krafttraining
EP2758803B1 (fr) Système et procédé d'aide à un exercice de mouvement
US20130244211A1 (en) Systems and methods for measuring, analyzing, and providing feedback for movement in multidimensional space
DE102005018634A1 (de) Trainings- und/oder Therapiesystem für den menschlichen und/oder den tierischen Körper
Nilsson et al. Kinematic, kinetic and electromyographic adaptation to speed and resistance in double poling cross country skiing
US10773123B1 (en) Systems and methods for wearable devices that determine balance indices
Iskra et al. Biomechanical studies on running the 400 m hurdles
WO2022110100A1 (fr) Système d'enseignement/d'apprentissage d'activité physique et son procédé d'utilisation, dispositif d'activité physique et support de stockage lisible par ordinateur
Theodorou et al. Step characteristic interaction and asymmetry during the approach phase in long jump
DE102014014017A1 (de) Tragbares Bewegungsanalysesystem
De Jesus et al. Neuromuscular activity of upper and lower limbs during two backstroke swimming start variants
WO2010034308A2 (fr) Détermination de données biométriques d'un groupe de personnes
CN115334964A (zh) 用于生成关于对象的肌肉骨骼恢复的信息的设备、系统和方法
Dallas et al. The influence of a hurdle target point on the kinematics of the handspring vault approach run during training
DE102014004392A1 (de) Mobile Spiroergometrie, EEG, 4D-EIT mit 4D-Ultraschall, Startzeit Zwischenzeitregistration Eindzeit, Schwimm Laufwiederstand Zug gerät, Venen Arterien Wahrnehmende 4D-Kamera als Einheit oder Individuell im Verarbeitsprozessor Bio-Physiologische als Megani
Fliess‐Douer et al. Sport and technology
DE102017125189B4 (de) System zur Unterstützung einer Bewegungsübung einer Person mit einem Objekt, Verfahren und Computerprogrammprodukt
Chang Research on the biomechanics analysis of technical movement in fatigue period for badminton athletes
Burnie The effects of strength training on intermuscular coordination during maximal cycling
Leckrone The Application of Biomechanical Technology in Sports
Kaluzhny et al. The Impact of Technologies on Sport
Wylde An investigation into the use of inertial measurement units to assess the loading profiles of adolescent Badminton players.

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: 17729352

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2017729352

Country of ref document: EP

Effective date: 20181220