WO2017198337A1

WO2017198337A1 - Wearable sensor module for a wearable system for monitoring training, and wearable system and method for monitoring training

Info

Publication number: WO2017198337A1
Application number: PCT/EP2017/000602
Authority: WO
Inventors: Thomas Steiger; Torsten VÖLKL; Harald FREITAG
Original assignee: Ivs Engineering Gbr
Priority date: 2016-05-20
Filing date: 2017-05-19
Publication date: 2017-11-23
Also published as: DE102016006099B4; EP3458990A1; DE102016006099A1

Abstract

The invention relates to a wearable sensor module (100) for a wearable system for monitoring training and to a wearable system (200) and a method (300) for monitoring training. The wearable sensor module (100) comprises a number of sensors (110) necessary at least for detecting a motion of body parts of a training person (T), an energy supply (120), a communication unit (130), and a housing (140). The energy supply (120) comprises a system for locally obtaining energy (121). The wearable system for monitoring training (200) comprises a plurality of sensors (210) necessary at least for detecting a motion of body parts of a training person (T), wherein a number of sensors (210) can be attached to each of at least two body parts or also a sports device (SG) of the training person (T). The system (200) comprises at least one computing unit (220) communicatively connected to the sensors (210), wherein the computing unit (220) is designed to correlate the actual measured values of the sensors (210) with an actual motion pattern and to compare the actual motion pattern of the training person (T) with a target motion pattern. The system (200) comprises at least one output unit (230) communicatively connected to the computing unit (220). The computing unit (200) has at least one data interface (221), which is designed to read in at least body features and activity of the training person (T) and to retrieve target motion patterns corresponding thereto from a database. In addition, the output unit (230) of the system is designed to output an optical and/or acoustic signal in real time in the event of deviations between the actual motion pattern and the target motion pattern.

Description

Portable sensor module for a portable training monitoring system and portable training monitoring system and method

description

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. Moreover, the invention relates to a method for training monitoring.

About 19 million Germans regularly run. Of these, 73% are self-organized sports, i. As a rule, they do not train in a club, a running group or under the guidance of a trainer. 17% of male athletes run with the aim of participating in competitions and thus also complete corresponding performance-oriented training scopes. For 72% of the runners, however, the aspect of health and fitness is in the foreground.

Especially with endurance runners, high training volumes and the sport-specific loads on the musculoskeletal system lead to injuries that often manifest themselves in a chronic manner. Various injuries are described in the literature, such as pa- tematofemoral band syndrome ("anterior knee pain"), ilio-tibial band syndrome ("Runner ^'s Knee") or mediotibial stress syndrome ("tibial nerve syndrome"). It was possible to identify relationships between biomechanical parameters and the occurrence of walking injuries.

CONFIRMATION COPY The kinematic chain of leg movement while running has the consequence that movements of the different joints are coupled together. Thus, by recording certain parameters (eg internal tibial rotation), statements can be made about further joint movements (eg pronation / eversion of the foot) without directly detecting them.

Under professional guidance unfavorable positions of the musculoskeletal system can be detected and corrected. As described above, however, 73% of athletes practice running without a trainer, with the result that long-term stress exposures result in a high risk of injury. An important problem of sports movement analysis is the difficulty to derive from exercise or individual movement data a guide for the athlete to improve the performance and protection of the joints. In most cases the athlete can analyze his movement based on the measured values and draw possible conclusions. Again, the success of the measures can only be verified in further later analyzes. An automatic continuous evaluation during the measurement would allow a direct feedback and thus a much faster and safer success to improve the movement behavior.

From the film and games industry technical systems are known, with which the movement process of a person can be detected. However, these systems are usually not fully portable, so athletes can not analyze their normal movement, for example over a longer distance in real time. In addition, these systems give the athlete no correction suggestions for his movement like a coach and are prohibitively expensive for recreational athletes.

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. In addition, 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. In addition, the document US 2010/0173276 A1 does not provide any possibility to obtain reference movements other than by trainers or trainers or by computer simulation. This results in the disadvantage that the trainee is dependent on a trainer or an unspecified computer simulation system at least at the beginning of his training and can not perform his training completely independently.

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. Furthermore, 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. From the illustrated prior art, 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. This object is achieved by a training monitoring system according to claim 10. In addition, 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.

Advantageous embodiments emerge from the subclaims.

"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. Accordingly, "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. The term "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 according to the invention 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. Other auxiliary sensors can provide useful metadata about the training process for training analysis. Thus, for example, 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. In order to compensate for imbalances between energy production and energy consumption, 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. With regard to 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

To avoid weak points with respect to the mechanical stability and / or the tightness of a housing of the sensor module, 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. Alternatively and / or additionally, 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. By using known communication standards, 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. Preferably, the fastening system is designed in the form of at least one suction connection, adhesive connection, a rubber band, Velcro tape, Neoprene band, Ösensystems and / or push button system. Such a fastening system has the advantage that relative movements between see a body part or sports equipment of the exerciser and the attached thereto

Sensor module and resulting artifacts are avoided in the measured values, which simplifies the evaluation of the measured values. 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. Such 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.

In addition, 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 Miniatuhsierbarkeit in the production. The modular design, on the other hand, 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 according to the invention 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. In addition, 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. Other auxiliary sensors can record useful metadata about the training history for the training analysis. Thus, for example, 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. 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. By using known communication standards, 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. These 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. With regard to 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. In addition, the energy supply can be an energy store, for example a battery mulator and / or capacitor. For example, to achieve the simplest possible structure of the sensor, 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. 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. In addition, 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. In this embodiment, 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. In addition, 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. In particular, it is conceivable that the actual movement pattern in its time course, possibly accelerated or slowed down, is played and can advantageously be stopped at any time. In addition, 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. In this case, the communication unit can support wireless communication, in particular known communication standards, for example Bluetooth, Bluetooth low energy and / or WLAN. The fact that several sensors use a common power supply, a common microprocessor, a common data memory and / or a common communication unit, on the one hand saves costs in the production of the system and on the other hand, the power consumption during operation can be reduced.

A training monitoring method according to the invention comprises the following steps:

Acquisition of actual measured values by a plurality of motion sensors and / or auxiliary sensors necessary at least for detecting a movement of body parts of a trainee, wherein a respective number of motion sensors and / or auxiliary sensors on at least two body parts or on at least one body part and at least one sports device of a trainee is appropriate,

Transmitting the actual measured values and / or measured values derived from the actual measured values from the sensors to a portable computing unit,

Determining an actual movement pattern of the trainee from the actual measured values and / or the derived measured values by the arithmetic unit, Retrieving from a database and / or inputting a desired movement pattern by the arithmetic unit,

• comparison of target movement patterns and actual movement patterns by the calculation

^• unit and

· 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.

In addition to the movements of body parts of the exerciser, movement of sports equipment of the exerciser can also be incorporated into the determination of an actual movement pattern. In many sports, the correct movement of 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.

By way of example, 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. In a runner, for example, 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. 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. Furthermore, 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. In addition, in particular in the context of the formation of derived measured values, missing actual measured values, for example due to a temporarily failed or lost sensor, can be usefully supplemented, for example by extrapolation and / or interpolation. 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.

For the method, a training monitoring system according to the invention can be used, whereby the advantages mentioned in its description become possible.

To determine the actual movement pattern, 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. At the same time, 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. On the other hand, 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.

In the detection of movement patterns, conclusions about the movement behavior are made from specific patterns in the sensor data. It is important that the algorithms are developed in such a way that adaptation or extension to the special circumstances of the test series is relatively easy. This can be achieved by defining the motion behavior to be recognized in a separate text file using a simple syntax scripting language. The movement behavior is described by a combination of previously determined basic characteristics. The goal is the detection of special, especially adverse effects of force on the joints; cyclic motion patterns; Deformations with respect to the joint angles, which adversely affect the course of the movement, and / or asymmetries, which can be understood as indications of possible orthopedic problems.

By means of angle data and movement behavior, a sports movement analysis should be carried out. 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. Similarly, 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. In addition, 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. By defining 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. 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. For calibrating the relative positions, for example, a jumping-in motion for automatically determining the sensor position within a Körperseg- mentes by exploiting the angular momentum conservation theorem and / or trigonometry, the

Measuring the body by attaching sensors to the outermost articulation points of the system, measuring the sensor position within a defined interval on the basis of the body measurements, establishing the tables of inertia independent of the mass of the corresponding body segment, measuring the body via photogramm metrics and / or received signal strength indicator and / or the determination of the sensor position by conclusions from the calculation of the radian measure or distance traveled in the implementation of various oscillations, for example, arms and / or legs conceivable. 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. In this case, 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.

In addition to the already mentioned running sports, 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. Also in the therapeutic and rehabilitation area, for example after the setting of hip or knee joint prostheses, the invention can bring great benefits. In this area, 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. In particular, the symmetrical execution of movements can be monitored in order to prevent imbalances.

As part of the rehabilitation, for example, in semi-sided paralysis, for example, after a stroke, 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. In contrast, 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.

Exemplary embodiments will be explained with reference to the figures. Features that are presented in the context of an example can also be combined differently according to the invention.

Show it:

Figure 1 is a schematic embodiment of a portable sensor module according to the invention for a portable system for training monitoring.

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

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 and Fig. 6 shows a schematic embodiment of the method according to the invention for training monitoring.

1 schematically shows an exemplary inventive portable sensor module 100 with two sensors 110, of which a sensor 110 includes a microprocessor 1 1 and a data memory 112, for example in the form of a flash memory. Furthermore, 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. In addition, 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. In addition, there is 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. For the sake of clarity, 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. , By this arrangement, for example, the characteristic movement pattern of a runner with the aid of a biomechanical model of the human body can be completely detected. 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. In the illustrated example, a sensor module 100 is fixed to a sports device SG, for example a tennis racket. In each case 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. By this distribution of the sensor modules, for example, the flapping motion of a tennis player, which also includes a torsion of the trunk in addition to an arm movement, can be completely detected together with the movement of the racket. For example, 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.

As a result, the exerciser T can monitor his training in real time and at the same time keeps his second hand free, for example, to pick up a ball. FIG. 4 schematically shows another portable monitoring system 200 according to the invention. In the illustrated example, the exerciser T is not a human but a quadruped, for example a horse. In equitation, 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. For this purpose, as in the example shown, in each case a sensor module 100 on the upper and lower legs of the front legs; on lower leg and foot of hind legs; be attached to the head, neck and trunk. 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. For example, 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. For example, in dressage, the attitude and orientation of the head determines whether the horse walks on the rein, ie the right head posture and associated spine curvature, which gives the rider optimal control over the horse and / or the stipulations of the dressage task. If the actual viewing direction deviates from the target viewing direction of the horse corresponding to the task of the horse, then this is in particular an indication of an improvement in horse riding or dressage. In particular, a sensor module 100 may be arranged in a bridle (not shown) of the horse or in a preferably detachable attachment therefor. It is also conceivable, the line of sight even more precise, because regardless of the orientation of the head, to capture by the viewing direction of the horse's eyes, for example, optically determined and then evaluated computer-assisted in metadata. 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.

Next, 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.

Then, 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. In addition, 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.

Next, 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.

LIST OF REFERENCE NUMBERS

100 portable sensor module

110 sensor

11 1 microprocessor

112 data memory

120 energy supply

121 System for local energy production

122 control element of the power supply

123 manual on / off switch

124 energy storage

130 communication unit

131 antenna

132 means of shielding

140 housing

141 Communication and / or power supply connection

142 fastening system

143 Display unit

200 portable training monitoring system

210 sensor

211 microprocessor

212 data memory

220 arithmetic unit

221 data interface

222 database

230 output unit

240 synchronization module

250 portable computing device

300 training monitoring procedures

310 Acquisition of Actual Measured Values

311 Determine Derived Measured Values

320 Transmission of measured values to a computing unit

330 determining an actual motion pattern from the measurements

340 Retrieving a desired movement pattern Comparison of target movement pattern and actual movement pattern Output of a correction signal

Sports equipment

exerciser

Claims

claims

Portable Sensor Module (100) for a portable training monitoring system

A number of sensors (110) necessary at least for detecting a movement of body parts of a trainee (T),

a power supply (120),

• at least one communication unit (130) for communicating with the training monitoring system and

A housing (140) for receiving the sensors (110), the power supply (120) and the at least one communication unit (130),

wherein the sensor module (00) is attachable to a body part of the exerciser (T) and is so small and light that it does not hinder the exerciser (T) in its movement, the power supply (120) being a local energy production system (121). includes,

characterized in that

the power supply (120) comprises a control element (122) designed for the movement-dependent, automatic adaptation of the sampling rate and / or the transmission rate of the sensor module (100).

Sensor module (100) according to claim 1,

characterized in that at least one sensor (110)

A microprocessor (111) which is used to calculate derived measured values from the sensor measured values, preferably for data filtering and / or elimination of artifacts from relative movements between a body part or sports device (SG) of the exerciser (T) and the sensor module (100) attached thereto; is designed, and / or

A data memory (12), preferably a non-volatile data memory, particularly preferably a flash memory. Sensor module (100) according to one of the preceding claims,

characterized in that

At least one sensor (110) is a motion sensor, preferably an acceleration sensor and / or yaw rate sensor, and

• Preferably, at least one sensor (1 10) is an auxiliary sensor, particularly preferably a transceiver for position determination, magnetic field sensor, pressure sensor, force sensor, humidity sensor, temperature sensor, heart rate monitor and / or altimeter.

Sensor module (100) according to one of the preceding claims,

characterized in that

the local energy production system (121) is designed to convert mechanical energy, thermal energy, the effect of magnetic induction and / or electromagnetic radiation into electrical energy.

Sensor module (100) according to one of the preceding claims,

characterized in that the power supply (120)

a control element (122) designed for the movement-dependent, automatic switching on and / or off, for activating and / or deactivating a power-saving mode of the sensor module (100),

An energy store (124), preferably an accumulator and / or capacitor, and / or

• includes a manual on / off switch (123).

Sensor module (100) according to one of the preceding claims,

characterized in that

the communication unit (130) supports wireless communication, preferably known communication standards, more preferably Bluetooth and / or WLAN, most preferably Bluetooth low energy, and comprises an antenna (131), the communication unit preferably comprising means for shielding (132) antenna and sensors against each other.

Sensor module (100) according to one of the preceding claims, characterized in that the housing (140)

Splash-proof, preferably waterproof, particularly preferably washable, most preferably machine-washable,

At least one connection (141) designed for data communication and / or for supplying the power supply, preferably a USB connection, particularly preferably a microUSB connection,

A mounting system (142) for attaching the sensor module (00) to a

Body part and / or sports equipment (SG) of the exerciser, wherein the fastening system is preferably in the form of at least one suction connection, adhesive bond, a rubber band, Velcro, neoprene band, Ösensystems and / or push button system is executed,

• at least one display device (143), preferably an LED display, which is preferably designed to display an operating state of the sensor module (100) is designed as a molded part and / or

• is at least partially flexible.

8. Sensor module (100) according to one of the preceding claims,

characterized in that

the sensor module (100) is constructed fully integrated.

9. sensor module (100) according to any one of claims 1-7,

characterized in that

the sensor module (100) is constructed so that individual components are modular, preferably detachable, connectable to each other.

10. Portable Training Monitoring System (200)

With a plurality of sensors (210) necessary at least for detecting a movement of body parts of a trainee (T), wherein in each case a number of sensors on at least two body parts or on at least one body part and at least one sports device (SG) of a trainee (T) is attachable,

With a communicatively connected to the sensors (210) computing unit (220), wherein the arithmetic unit is adapted to correlate the actual measured values of the sensors (210) to an actual movement pattern and the actual movement pattern of the exerciser (T) with to compare a desired movement pattern, • and with a communicatively connected to the arithmetic unit (220) output unit (230),

in which

• The arithmetic unit (220) has at least one data interface (221) which is designed to read in at least body characteristics and activity of the exerciser (T) and to match appropriate desired movement patterns from a database (222) in the memory of the Recall arithmetic unit and

The output unit (230) is designed to output an at least visual and / or acoustic signal in real time in the case of deviations between the actual movement pattern and the desired movement pattern to the trainee (T) for the purpose of correcting its movement sequence,

characterized in that

at least one sensor (210) comprises a power supply (120), which comprises a control element (122) designed for the movement-dependent, automatic adaptation of the sampling rate and / or the transmission rate of the sensor module (100).

11. System (200) according to claim 10,

characterized in that

At least one sensor (210) is a motion sensor, preferably an acceleration sensor and / or yaw rate sensor, particularly preferably a gyroscope, and

Preferably at least one sensor (210) is an auxiliary sensor, particularly preferably a transceiver for position determination, magnetic field sensor, pressure sensor, force sensor, moisture sensor, temperature sensor, heart rate monitor and / or altimeter.

12. System (200) according to any one of claims 10-11,

characterized in that at least one sensor (210)

a microprocessor (11 1) for calculating derived measured values from the sensor measured values, preferably for data filtering and / or for eliminating artifacts from relative movements between a body part or sports equipment (SG) of the

Training (T) and the attached sensor is designed

A data memory (1 12), preferably a non-volatile data memory, particularly preferably a flash memory, comprises • communicatively connected wirelessly to the arithmetic unit (220), wherein the connection preferably corresponds to known communication standards, particularly preferably Bluetooth and / or WLAN, most preferably Bluetooth low energy,

• a power supply (120), preferably a for motion-dependent, automatic switching on and / or off, for activating and / or deactivating a power saving mode of the sensor designed control element (122), an energy storage (124) and / or a manual on And / or switch (123) includes and / or

• in the form of a sensor module (100) according to one of claims 1-9 configured.

13. System (200) according to any one of claims 10-12,

characterized in that

the system (200) comprises a synchronization module (240), preferably a radio synchronization module, designed to synchronize the sensors and the processing unit to a deviation of less than 10 ms.

14. System (200) according to any one of claims 10-13,

characterized in that

at least one sensor (210), the computing unit (220) and / or the output unit (230) in at least one portable computing device (250), preferably a smartphone, a tablet, an activity tracker, a sports watch and / or a smartwatch included is.

15. System (200) according to any one of claims 0-14,

characterized in that

a plurality of sensors (210) having a common power supply (120), a common microprocessor (111), a common data memory (112) and / or a common communication unit (130) for communicating with the computing unit (220) and / or the synchronization module (240 ), wherein the communication unit (130) preferably supports wireless communication, particularly preferably known communication standards, more preferably Bluetooth and / or WLAN, most preferably Bluetooth low energy.

16. Training monitoring method (300) comprising the steps of: • Detecting (310) actual measured values by a plurality of motion sensors and / or auxiliary sensors necessary at least for detecting a movement of body parts of a trainee (T), wherein a respective number of motion sensors and / or auxiliary sensors on at least two body parts or on at least one Body part and at least one sports equipment (SG) of a trainee (T) is attached,

Transmitting (320) the actual measured values and / or measured values derived from the actual measured values from the sensors to a portable computing unit (220),

Determining (330) an actual movement pattern of the exerciser (T) from the actual measured values and / or the derived measured values by the arithmetic unit (220),

Retrieving (340) from a database and / or inputting a desired movement pattern by the arithmetic unit (220),

Comparison (350) of desired movement patterns and actual movement patterns by the arithmetic unit (220),

Output (360) 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 (220) via a portable output unit (230) communicatively connected to the arithmetic unit ( T) to correct his movement and

motion-dependent, automatic adaptation of the sampling rate and / or the transmission rate of at least one of the motion sensors and / or auxiliary sensors.

17. Method (300) according to claim 16,

characterized in that

the minimum is used to determine (330) a characteristic actual movement pattern, preferably by utilizing symmetry properties of the body, anatomical boundary conditions and / or activity-related boundary conditions of the movement sequence, necessary number of motion sensors and / or auxiliary sensors.

18. Method (300) according to any one of claims 16-17,

characterized in that

at least one motion sensor and / or auxiliary sensor for reducing the amount of data and / or for eliminating artifacts from relative movements between a body part or sports device of the exerciser (T) and the movement movement attached thereto sensor executes the determination (311) of derived measured values from the actual measured values, with methods of PID control, Kalman filtering, Madgwick filtering, fuzzy logic and / or self-learning algorithms preferably being used. 19. Method (300) according to one of claims 16-18

characterized in that

The method (300) comprises a meaningful completion of missing actual measurement data;

the method (300) comprises detecting a loss of a motion sensor and / or auxiliary sensor;

»The motion sensors and / or auxiliary sensors and the computing unit (220) are synchronized to a deviation of less than 10 ms and / or

A training monitoring system (200) according to any one of claims 10-15 is used.

20. Method (300) according to one of claims 16-19,

characterized in that the arithmetic unit (220)

• for determining (330) the actual movement pattern in addition to the actual measured values and / or derived measured values of the motion sensors also actual measured values and / or derived measured values of auxiliary sensors, symmetry properties of the body of the exercising (T), anatomical boundary conditions and / or activity-related boundary conditions of the movement process,

• records the actual movement pattern and / or

along with the actual movement pattern on the auxiliary sensors training-relevant metadata, preferably the pulse and / or sweat flow of the exerciser (T) and / or the height profile of the training track records.

21. Method (300) according to one of claims 16-20,

characterized in that

• the trainee (T) and / or a trainer inputs the desired movement pattern into the arithmetic unit (220) by executing reference movements,

• The trainee (T) inputs his or her physical characteristics, activity and / or training preferences to the arithmetic unit (220) via an input device communicatively connected to the arithmetic unit, and the arithmetic unit (220) selects a suitable one for input Obtaining target movement patterns from a database, preferably an online database,

The database is constantly supplemented by body features, activities and / or training preferences in connection with actual movement patterns and / or metadata of exercisers (T) and / or

The computation unit (220) retrieves in real time and / or after training for desired movement patterns and associated actual movement patterns and preferably also metadata matching training proposals from a database, preferably an online database, and the trainee (T) via the output unit ( 230).

22. Method (300) according to one of claims 16-21,

characterized in that

The motion sensors and / or auxiliary sensors are calibrated statically, preferably by zero point correction, determination of the start orientation and / or query of the local declination and earth magnetic field strength at a declination server,

The motion sensors are calibrated dynamically, preferably by rotation about an isolated axis and / or rotation in 90 ° steps and / or a cube movement and / or a temperature course correction and / or

• the relative position of the motion sensors, preferably by the execution of a defined movement of the exerciser (T) and / or measurement of the body of the exerciser calibrated.

23. Method (300) according to one of claims 16-22,

characterized in that

the arithmetic unit (220) transmits target movement patterns and actual movement patterns to the display unit (230) in real time and / or after training for graphical representation, wherein the representation preferably takes the form of a superimposed scheme of the body of the exerciser (T) for Target movement pattern and actual movement pattern is carried out, wherein particularly preferably deviations between desired movement pattern and actual movement pattern highlighted, usually preferred highlighted in color, are.