SYSTEM FOR SUPPORTING A MOVEMENT EXERCISE OF A PERSON WITH AN OBJECT, METHOD AND COMPUTER PROGRAM PRODUCT

Abstract

The present disclosure relates to a system for supporting a movement of a person with an object. The system comprises a detection device configured to detect an actual state of the object. The system also comprises a sensor arrangement, which is configured to record at least one physiological parameter of the person. The system also comprises a determination device configured to determine a target state of the object based on the detected physiological parameter. The system furthermore comprises a display device configured to display an indication when the actual state differs from the target state. The present disclosure further relates to a method and a computer program product.

Claims

1. A system to support a movement exercise of a person with an object, comprising: a detection device configured to detect an actual state of the object; a sensor arrangement configured to detect at least one physiological parameter of the person; a determination device configured to determine a target state of the object based on the detected physiological parameter; and a display device configured to display an indication if the actual state differs from the target state.

2. The system according to claim 1, wherein the indication that is displayed by the display device indicates the target state of the object.

3. The system according to claim 1, wherein the object is configured to transmit a position signal, and wherein the detection device is adapted to receive the position signal and determine the actual state of the object based on the received position signal.

4. The system according to claim 1, wherein the sensor arrangement is configured to detect at least one of the following physiological parameters: heart rate, respiratory rate, oxygen concentration, blood sugar value, blood pressure, skin conduction resistance, myoelectric activity, electrical brain activity, a time parameter, a biokinematic parameter, or a biodynamic parameter.

5. The system according to claim 1, wherein the sensor arrangement is configured to detect the physiological parameter without contact or contact-based.

6. The system according to claim 1, wherein the sensor arrangement is configured to record an infrared image of the person and to detect the at least one physiological parameter based on the recorded image.

7. The system according to claim 1, wherein the sensor arrangement has a sensor configured to detect the physiological parameter, and wherein the sensor is arranged in the object.

8. The system according to claim 1, wherein the sensor arrangement is configured to transmit the detected physiological parameter to the determination device wirelessly or by wire.

9. The system according to claim 1, wherein the determining device is configured to assign the target state to the detected physiological parameter.

10. The system according to claim 1, wherein the determination device has a database in which different target states or differences between target states and actual states are assigned to different physiological parameters.

11. The system according to claim 1, wherein the determining device is configured to determine the target state further based on a movement state of the object.

12. The system according to claim 1, wherein the determining device is configured to determine the target state further based on at least one of the following parameters: an age of the person, a performance characteristic of the person, a training intensity level, a training duration, or a selection of targeted training units.

13. The system according to claim 1, wherein the determining device is configured to determine the target state of the object further based on an actual state or target state of another object.

14. The system according to claim 1, wherein the determination device comprises a communication interface configured to set up a data transmission from the determination device to a computer system.

15. The system according to claim 1, further comprising an analysis module configured to perform a comparison based on one or more of: the detected actual state, the at least one detected physiological parameter, or the specific target state, and provide the indication to the display device based on the comparison.

16. A method for supporting a movement exercise of a person with an object, comprising: detecting an actual state of the object by a detection device; detecting at least one physiological parameter of the person by a sensor arrangement; determining a target state of the object based on the detected physiological parameter by a determination device; and displaying an indication on a display device if the actual state differs from the target state.

17. A computer program product comprising a non-transitory computer readable medium storing program code for supporting a movement exercise of a person with an object, the program code comprising instructions configured to cause a computer system to: detect an actual state of the object at a detection device; detect at least one physiological parameter of the sensor at a sensor arrangement; determine a target state of the object based on the detected physiological parameter at a determination device; and display an indication on a display device if the actual state differs from the target state.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The present disclosure is explained in more detail below on the basis of further examples and the figures. They show:

[0055] FIG. 1 is a schematic representation of a system according to an example of the present disclosure;

[0056] FIG. 2 shows a schematic representation of a system according to a further example of the present disclosure; and

[0057] FIG. 3 shows a schematic representation of a flow diagram for a method according to an example of the present disclosure.

DETAILED DESCRIPTION

[0058] In FIG. 1 a person 101 is shown. The Person 101 trains a sport, here football. FIG. 1 shows a system 100 according to a first example. The system 100 comprises an object 102. In the exemplary example, the object 102 is a soccer ball. Furthermore, a goal wall 107 is shown against which the person 101 should shoot the object 102. For this purpose, the goal wall 107 has a target (not shown). In a further exemplary example, the object can be a boxing glove, which is used, for example, in boxing.

[0059] In alternative configurations, the person 101 does not train soccer, but a different sport. In this case, the object 102 is an object adapted to the other sport. In this alternative example, the goal wall 107 can be omitted or can be adapted accordingly to the sport.

[0060] The system 100 comprises a detection device 103. In the example shown, the detection device 103 is divided between two different sensors. First, a first sensor 103a is attached to the object 102.

[0061] The first sensor 103a is an inertial sensor, in particular an acceleration sensor. The detection device 103 also comprises a second sensor 103b. In the example shown, this is a camera. The second sensor 103b is adapted to optically detect the object 102. The first sensor 103a is adapted to detect the object 102 on the basis of acceleration values. An actual state of the object 102 can be determined from the two values of the different sensors 103a, 103b of the detection device 103. In the example shown, the first sensor 103a has a radio module in order to send the measured data to the detection device 103. The detection device 103 comprises a radio module which is adapted to receive radio data which is transmitted by the first sensor 103a. In a further exemplary example, a plurality or all of the sensors of the detection device 103 have a radio module in order to send the respectively recorded data to the detection device 103.

[0062] For this purpose, data from the first sensor 103a and data from the second sensor 103b are evaluated. The data from the acceleration sensor can supplement the image data from the camera. In a further exemplary example, the detection device 103 additionally or alternatively comprises a plurality of cameras and/or a plurality of acceleration sensors and/or other sensors, such as, for example, an optical system with lasers. The detection device 103 determines the actual state, i.e. the actual state of the object 102 in the training room in which the person 101 trains and the system 100 is arranged, for example the position of the object 102. In a further exemplary example, the object 102 comprises a position sensor and emits a position signal to determine the position of the object 102. The detection device 103 has a radio sensor that receives the position signal from the object 102 and uses this to determine the actual state.

[0063] The system 100 also has a sensor arrangement 104. In the example shown, the sensor arrangement 104 is arranged on the person 101. In the example shown, the sensor arrangement 104 is a fitness tracker which is worn on the wrist of the person 101. In addition, a belt can be used to which at least a part of the sensor arrangement 104 is fastened, for example a chest belt. In further refinements, the sensor arrangement 104 can comprise other and/or additional sensors, for example sensors woven into a textile for wearing as a T-shirt or also adhesive electrodes. The sensor arrangement 104 is adapted to detect at least one physiological parameter of the person 101. In the example shown in FIG. 1, the sensor arrangement 104 is adapted to detect the oxygen content of the blood, the temperature and the pulse of the person 101. In further configurations, further physiological parameters can be recorded. For example, vital parameters, in particular heart rate, respiratory rate, blood sugar value, blood pressure, skin conduction resistance, myoelectric activity, brain electrical activity, and/or biomechanical parameters, in particular a time parameter, a biokinematic parameter or a biodynamic parameter, are recorded for this purpose.

[0064] The system 100 also comprises a determination device 105. In the example shown, the determination device 105 is a computer system, in particular a microcontroller, which is arranged separately in the training room in which the person 101 trains. In further examples, the determination device 105 can be arranged in the detection device 103 or the sensor arrangement 104 or in a display device 106, or can also be set up as a virtual system on a server which is connected to the system 100 via a data network connection.

[0065] The determination device 105 is set up to receive the detected physiological parameters of the person 101 from the sensor arrangement 104. For this purpose, the sensor arrangement 104 can be connected to the determination device 105 in a wireless or wired manner. In the example shown, the sensor arrangement 104 is wirelessly connected to the determination device 105. A Bluetooth radio standard is used for this. In other examples, another wireless communication takes place between the sensor arrangement 104 and the determination device 105, for example using WLAN, Zigbee, UWB, UHF-RFID. In a further example, transmission takes place wirelessly and by cable, the physiological parameters recorded in each case being transmitted from different sensors to the person 101.

[0066] The determination device 105 is also connected to the detection device 103. Via the connection to the detection device 103, the determination device 105 can receive the detected actual state of the object 102 from the detection device 103. In the examples shown, the determination device 105 is connected wirelessly to the first sensor 103a and wired to the second sensor 103b. In a further example, the determination device 105 is not directly connected to the detection device 103. In this case, the actual state is transmitted by a further computer system or a separate microcontroller, for example a separate analysis module.

[0067] The determination device 105 determines a target state of the object 102. The target state of the object 102 can be a target of the object 102, such as the target on the goal wall 107. If the detection device 103 detects that the object 102 reaches the target state, i.e. here the target on the goal wall 107, then the actual state of the object 102 corresponds to the target state of the object 102.

[0068] If the person 101 shoots the football, the object 102, however not precisely enough, the object 102 hits the goal wall 107 at a different location than the target. The target state of object 102 is shown in dashed lines in FIG. 1. The actual state of the object 102 is shown in solid lines in FIG. 1. In FIG. 1, the actual state is different from the target state.

[0069] The actual state of the object 102 thus differs from the target state of the object 102. This is recognized by comparing the actual state of the object 102 with the target state of the object 102. For this purpose, the actual state of the object 102 and the target state of the object 102 are determined as a data comparison by an analysis module 108. The analysis module 108 is arranged in the determination device 105 and is implemented as software. In a further example, the analysis module 108 is arranged as hardware and/or in one of the other devices of the system 100 or else as a separate device.

[0070] The analysis module 108 is connected to a database via a data network connection. The analysis module 108 evaluates the data on the actual state acquired by the detection device 103, the physiological data of the person training and the target state of the object 102. In addition, the analysis module 108 has access to data for training purposes and training specifications from the database and can furthermore access predetermined stored target state values and use them to calculate a threshold value especially for the training person. In a further example, the analysis module has access to characteristic physiological values of the exercising person, for example in the resting state, in different effort levels, etc., or to typical physiological reference values of a sample person with a similar profile.

[0071] To determine the target state of the object 102, the determination device 105 evaluates the detected physiological parameters of the person 101. For this purpose, the physiological parameters of the person 101 are sent from the sensor arrangement 104 to the determination device 105. If the person 101 has a very high pulse and low oxygen saturation, the target value of the object 102 has a large tolerance. In a further example, an easily attainable target state is specified in addition or as an alternative to the tolerance. With such physiological parameters, the person 101 can only fire a targeted shot with difficulty. This is then recognized by the determination device 105 and the target state of the object 102 is determined accordingly, so that the target state of the object 102 can be achieved more easily by the person 101 by shooting the object 102. This means that if the physiological parameters indicate excessive physical exertion, an easily attainable target state value or a high threshold value is specified. Additionally or alternatively, an indication of a break can also be specified.

[0072] In a further example, the determining device 105 specifies a shot force or an acceleration of the object 102 as the target state of the object 102. Here, the acceleration data of the first sensor 103 of the sensor arrangement 103 can be evaluated.

[0073] If, on the other hand, the physiological parameters of the person 101 are high, that is to say the detected physiological parameters indicate a low effort, a target state that is difficult to achieve, or a low threshold value, is specified in order to keep the training target high. This specification can be made by the determination device 105 or by the analysis module 108. Alternatively, it can pass on an indication of a higher training target and/or longer training duration on the display device 106.

[0074] The system 100 also comprises the display device 106. The display device 106 is a flat screen monitor in the example shown. In a further example, it is a loudspeaker for outputting acoustic signals. Another option is to use vibration signals to specifically alert the trainee to a specific event, such as an inadequate movement or impending overexertion. The display device 106 is arranged separately in the example shown. In a further exemplary example, the display device 106 is integrated in the detection device 103. The display device 106 is adapted to display an indication of the target state of the object 102. In the example described for FIG. 1, the display device 106 shows whether the object 102 has hit the target in the goal wall 107 or not. Did the person 101 shoot the object 102 so well that the target was hit, i.e. that the target state of the object 102 corresponds to the actual state of the object 102, a positive result is displayed on the display device 106, for example a green color or a smiling smiley face or a success score.

[0075] However, if the target state of the object 102 does not match the actual state of the object 102, this is also displayed on the display device 106. For example, the display device 106 displays an arrow pointing in the direction in which the object 102 has to be shot the next time the person 101 tries. In another example, it can be displayed on the display device 106 that the object is to be struck firmer, or that a negative output takes place, such as a red color or a negative smiley face or a negative success score.

[0076] The system allows the person 101 to be trained to deal with the object 102 more precisely and to meet the target state of the object 102 better and more precisely over several training cycles. Furthermore, the system 100 can be used to ensure that the person 101 completes an endurance training session in which the person 101 is given training values via the display device 106 which result in that the person 101 plays the object 102 more frequently, faster and/or more vigorously. The information displayed on the display device 106 depends on the physiological parameters of the person 101 detected by the sensor arrangement 104. This allows the system 100 to adjust the target state of the object 101, depending on how busy, concentrated or fit the person 101 is.

[0077] FIG. 2 shows a system 200 according to a further example. In the example shown in FIG. 2, the person 101 is a tennis player. The tennis player holds the object 102, here a tennis racket, in his hand. A tennis ball 201 is to be hit with the object 102. The tennis ball 201 is to be struck against a ball wall 207. The ball wall 207 can have markings that are intended to simulate a tennis net.

[0078] The system 200 according to FIG. 2 comprises an object 202, here a tennis racket and a detection device 203. The detection device 203 is attached to the object 202. In the example shown in FIG. 2, the detection device 203 is a motion sensor that can detect the speed and the acceleration of the object 202. Data can thus be collected about how fast and how dynamically the person 101 is swinging the object 202. The system 200 further comprises a sensor arrangement 204. The sensor arrangement 204 is arranged in or on the handle of the object 202. The sensor arrangement 204 is arranged such that the person 101 is in contact with the sensor device 204 when holding the object 202. The sensor arrangement 204 can thus read out data about the physiological parameters of the person 101 from the contact with the hand of the person 101. For this purpose, the sensor arrangement 204 comprises electrodes via which a skin conduction resistance, the temperature and the pulse of the person 101 can be detected.

[0079] The system 200 also has a determination device 205. In the example shown in FIG. 2, the determination device 205 is arranged in the object 202. This is, in particular, a microcontroller that takes over the determination of the target state of the object 202. In a further example, the determination device 205 can also be arranged separately, as described, for example, in relation to FIG. 1. The determination device 205 evaluates the physiological parameters of the person 101, which were detected by the sensor arrangement 204. From this and from stored data records, such as previous physiological parameters of the person 101 and reference values for predetermined movements of the object 202, the determination device 205 determines the target state of the object 202.

[0080] The system 200 furthermore comprises an analysis module 208, which is arranged separately and evaluates the detected actual state of the object 202 by the detection device 203 and the target state of the object 202 by the determination device 205. Depending on the physiological parameters and other boundary conditions, such as time of day, temperature of the environment or a training cycle, the evaluation can determine a difference between the values of the target state of object 202 and the values of the actual state of object 202.

[0081] For example, the actual state of the object 202 is characterized by a first parameter, here a first speed value. In this example, the target state of object 202 is characterized by a second parameter, here a second speed value. If the difference between the first parameter and the second parameter is less than a predetermined threshold value, the actual state of the object 202 and the target state of the object 202 are regarded as the same, and this is output on the display device 206. However, if the threshold is exceeded, i.e. if the actual state of the object 202 and the target state of the object 202 are not the same, or if the actual state value differs from the target state value by more than a predetermined tolerance, a message is output on the display device 106. For example, it can be output here that the racket, i.e. the object 202 has to be swung faster or more firmly.

[0082] In a further alternative or additional example, the sensor arrangement 204 comprises a separately arranged camera (not shown in FIG. 2) for taking an image of the person 101, in particular an infrared camera for taking an infrared image. In this case, the physiological parameters of person 101 are recorded in the image, so a temperature of person 101 can be determined.

[0083] In other configurations, other sports can be trained. For example, similar to the example of FIG. 2, the system 200 is set up in such a way that hockey can be trained with a hockey stick or golf with a golf club. Examples similar to the system 100 shown in FIG. 1 can be used for rugby, other ball games, throwing games or even skiing.

[0084] In a further example, in addition or as an alternative to the detection of the object 202 according to the example in FIG. 2, the tennis ball 201 is detected as object 202 or as a further object. Here, the actual state and the target state are evaluated in accordance with the evaluation as described for FIG. 1.

[0085] According to further refinements, the sensors and devices of the system 100 and the system 200 are combined and/or comprise further sensors for detecting the physiological parameters and/or the actual state of the object 102, 202. In particular the arrangement of the parts of the systems 100, 200 described in FIG. 1 and FIG. 2 are interchangeable or combinable. This also applies to the described communications between the described parts of the respective system 100, 200. Data can thus be transmitted from the sensor arrangement 204 to the determination device 205 in the system 200 in the manner described for FIG. 1. The same applies to the further transmissions of data and signals in the respective systems 100, 200.

[0086] FIG. 3 shows a schematic illustration of a flow diagram 300 for a method according to an example of the present disclosure.

[0087] In a first step 301, the actual state of the object 102, 202 is determined. The detection of the actual state is carried out here by the detection device 103, 203, which determines the object 102, 202 using image data from a camera and/or sensor data from one or more sensors, such as acceleration sensors. Additionally or alternatively, the actual state can also be determined by a laser-based detection system.

[0088] In a further step 302, physiological parameters of the person 101 are determined. To determine the physiological parameters of person 101, data from sensor arrangement 104, 204 are used. Alternatively, step 302 can be carried out parallel to step 301 or step 301 before step 302.

[0089] In order to record the physiological parameters by the sensor arrangement 104, 204, measured values are recorded by one or different sensors. Thus, the determination device 105, 205 can pass on various physiological parameters, such as vital parameters, in particular heart rate, respiratory rate, oxygen concentration, blood sugar value, blood pressure, skin resistance, myoelectric activity, brain electrical activity, and/or biomechanical parameters, in particular a time parameter, a biokinematic parameter or a biodynamic parameter.

[0090] In step 303, a target state of the object 102, 202 is determined. The target state of the object 102, 202 is determined as a function of the physiological parameters recorded in step 302. For this purpose, the sensor arrangement 104, 204 sends the detected physiological parameters of the person 101 to the determination device 105, 205. The transmission can take place wirelessly or by cable. In the determination device 105, 205, the recorded physiological values of the person 101 can include predetermined information in order to be able to correctly interpret the physiological measured values in the analysis module 108, 208. The predetermined information is, for example, the age of the person and/or the gender and/or a disability and/or their own physiological reference values.

[0091] The determination device 105, 205 has access to a database in which reference values for target states and rules for determining the target state are stored. For example, such a rule includes a game rule of a sport to be trained.

[0092] The target state of the object 102, 202 comprises a form of movement and/or a speed and/or an acceleration of the object 102, 202 and/or a spatial position in the training room.

[0093] The target state can be determined via a data analysis platform. For this purpose, the system 100, 200 has corresponding communication means in order to exchange data with the data analysis platform.

[0094] In step 304, the recorded physiological values of the person 101, 201 are interpreted on the basis of predetermined information by the analysis module 108, 208, for example no noticeable effort is detected or that too many minerals have been lost, for example by sweating.

[0095] In step 304, the analysis module 108, 208 calculates a difference value between the actual state of the object 102, 202 and the target state of the object 102, 202. For this purpose, for example, two acceleration values are subtracted from one another or two spatial coordinates of the object 102, 202 are set in relation to one another. The result of the comparison is checked against a reference value. This reference value can be a threshold value which can be exceeded or fallen below. The threshold value can be absolute, e.g. be defined as a numerical value, but also relatively as a percentage. The threshold value can also be set dynamically and depend on other factors. This means that the threshold value can be varied depending on the physiological parameters, for example to make training easier when the person is under a lot of effort or when he is not concentrating, or vice versa.

[0096] If the threshold is exceeded, i.e. if the difference between the actual state of the object 102, 202 is greater than a predetermined difference value from the target state of the object 102, 202, the method is continued in step 305.

[0097] If the training flow changes (e.g. becomes more intensive), these measures can flow back into the determination device 105, 205 in order to update the rule for determining the next target state. This creates an automatic control loop (represented by the dashed arrow in FIG. 3). Additionally or alternatively, this regulation can run via the display device 106 in order to be confirmed or rejected by the exercising person and/or by the trainer (not shown in FIG. 3 for reasons of clarity).

[0098] In step 305, an indication is output on the display device 106, which indicates a desired target state of the object 102, 202. The indication is generated by the analysis module 108, 208. For example, the display device 106 indicates that the object 102, 202 is to be struck faster, further or more firmly, or it can also be indicated that the object 102, 202 should be played more precisely. Training measures can also be specified, such as a relaxation break, a drinking break or sharper or more intensive training.

[0099] If the threshold value is not exceeded, the method is continued in step 306. In step 306 there can be a positive output, for example a praise that the training goal has been reached. In a further example, no display is output in step 306.

[0100] The display device 106 can use an indication catalog for outputting the indication, in which predetermined indications are stored. The display device 106 can be used to input predetermined information as well as to confirm or reject suggested indications and to manually control the training process.

LIST OF REFERENCE NUMBERS

[0101] 100, 200 system

[0102] 101 person

[0103] 102, 202 object

[0104] 103, 203 detection device

[0105] 103a first sensor

[0106] 103b second sensor

[0107] 104, 204 sensor arrangement

[0108] 105, 205 determination device

[0109] 106 display

[0110] 107 goal wall

[0111] 207 ball wall

[0112] 108, 208 analysis module

[0113] 300 flowchart

[0114] 301-306 method step