专利摘要:
A method for modifying a driving simulator, wherein during at least one period of a real journey, a time course (1) of a biometric state of the athlete is determined, whereby at least one time profile of a parameter (5) of a vehicle used by the athlete is determined, between the time course ( 1) of the biometric state of the athlete and the time course of the parameter (5) of the vehicle, a relationship indicating the time change of the biometric state as a function of the temporal change of the parameter (5) is determined during a first training in the driving simulator an adjusting temporal Training course (2) of the biometric state of the athlete is determined and during another, second training in the driving simulator of the, by mental stimulation of the athlete depending on the determined relationship, modified temporal training course (7) of the biometric state of the Athletes approximate to the time course (1) of the biometric state of the athlete's real ride.
公开号:AT513204A2
申请号:T50755/2013
申请日:2013-11-13
公开日:2014-02-15
发明作者:
申请人:Avl List Gmbh;
IPC主号:
专利说明:

AV-3571 AT
Method for modifying a driving simulator
The subject invention relates to a method for modifying a driving simulator.
Especially in racing, it has become common in recent years due to the increasingly radical test restrictions to carry out large parts of the training in driving simulators ren Ren These driving simulators are often designed so that the athlete or driver while sitting in a cockpit, on a mobile Platform is mounted, the driver completed on computer-generated racetracks training sessions. Especially in the simulation of events that can be practiced in practice, but not, or only with great effort, a driving simulator offers great potential. Driving simulators are therefore a useful supplement to the conventional training on the racetrack or a racing course, whereby the greatest efficiency is achieved by a mix of different training methods.
Driving simulators allow a higher efficiency of training by specific repetition of certain situations. They allow training under a variety of conditions, 15 such as different weather, course condition, setup of the vehicle, etc., without burdening the real vehicle or to increase the need for wearing parts. Various scenarios can be simulated and repeated as often as you like. The usual recording of the training units usually makes it possible to analyze the training accordingly. 20 In the broadest sense, simulators allow for training in action in certain border areas and allow for the safe awareness of the athlete.
However, this is also a certain disadvantage of conventional driving simulators. In a real drive or in actual competition events, the athlete or driver is exposed to a whole series of dangers which threaten both the driver himself and the vehicle used. An important factor for the driver is therefore the increased stress level under which he must control the vehicle in a real drive. Even with an elevated stress level, he has to make important decisions within a very short time. However, this important aspect, which has a decisive influence on the behavior and performance of the driver, is not given any meaning in the context of the usual driving simulators. The training effect is therefore considerably reduced compared to an actual, real journey. 2.15
AV-3571 AT
Of course, the problem of the difference between reality and training simulation is not limited to car racing. It also applies to other sports, which is why the driver is generally referred to as an athlete.
The object of the present invention is therefore to value a driving simulator and to correspondingly increase the training effect.
This object is achieved in that during at least a period of a real journey, a time course of a biometric state of the athlete is determined that while at least a time course of a parameter used by the athlete vehicle is determined that between the time course of the 10 biometric state of the athlete and the time course of the parameter of the vehicle, a relationship that determines the temporal change of the biometric state as a function of the time change of the parameter is determined that during a first training in the driving simulator a self-adjusting training time course of the biometric state of the athlete is determined and that during a further, second training in the driving simulator of the mental stimulation of the athlete depending on the determined relationship, modified temporal training course of the biometric states ands of the athlete, approximating the time course of the biometric state of the athlete's real ride.
In this way, the training, or the time course of a biometric state of the athlete during exercise, can be approximated to the time course of the biometric state which corresponds to the real journey. By approach is to be understood that the difference between the time course of a biometric state during the real journey and the temporal training course of the biometric state is reduced. Due to the parameter-dependent mental stimulation of the athlete 25, a biometric state of an athlete during training can be selectively adjusted.
An advantageous embodiment provides that over the time course of the biometric state of the athlete during at least a period of a real journey an average is formed, that over the temporal training course of the biometric state 30 of the athlete during the first training in the driving simulator training average is formed and that during the second training in the driving simulator the training mean value is approximated by mental stimulation of the athlete to the mean value.
As a result, for example, an average level of stress which results at least during a period of a real journey, with that which in training 3/15
AV-3571 AT. The average stress level during training can be approximated to that which occurs during a real journey. The training effect is thus much higher.
A further advantageous embodiment provides that, the mental stimulation of the athlete by auditory and / or visual and / or sensitive stimuli takes place. As a result, the temporal training course of the biometric state of the athlete can be effectively influenced with little technical effort.
A further advantageous embodiment provides that the mental stimulation of the athlete is realized by using at least one individual stimulus sequence. This makes it possible to influence the subconscious of the athlete in a targeted manner and thus specifically bring about a certain temporal training course of the biometric state of the athlete.
Furthermore, it is advantageously provided that the at least one stimulus sequence, which influences the temporal training course of the biometric state of the athlete, is determined by tests during the training. As a result, different stimulus sequences and their influence on the athlete and his temporal training course of the biometric state, individually and without risk to the athlete can be determined.
The subject invention will be explained in more detail with reference to Figures 1 to 5, which show by way of example, schematically and not limitation, an advantageous embodiment of the invention. It shows
1 shows the time course of the heart rate as a function of the acceleration or the speed,
2 shows the time course of the heart rate in real driving and when driving in the driving simulator in comparison,
3 shows the mental stimulation and its effect on the heart rate,
4 shows the difference between the mean values of the heart rate in real driving and when driving in the driving simulator in comparison,
5 shows the approximation of the mean values due to mental stimulation.
The method according to the invention is used, for example, for optimizing the training of a racing driver, with the method, as already mentioned, of course being restricted not only to car racing but also to other sports
AV-3571 AT
Can find a turn. For this reason, the racer or driver is referred to below generally as an athlete.
In the following, reference is made to a real trip or to a training trip. It should be noted that this does not necessarily mean an entire journey, an entire race time 5 or the departure of an entire racetrack / course. Also only sections and / or time sections which allow corresponding comparisons are included. All determined, measured or provided data and / or values relating to the vehicle, the driving simulator, the athlete and / or his mental stimulation 10 may be determined by a measuring and / or evaluation and / or control and / or Calculation unit to be processed. However, this is not localized, so that the processing of collected data can be done directly on the vehicle, driving simulator or athlete, but does not have to be done. Usually results during a real journey, at least in sections or temporarily, 15 a much higher stress level than when driving in a driving simulator. This is easy to understand and not surprising, since the danger potential for people and vehicles is reduced to zero in the driving simulator. However, this has the consequence that during the training, the reactions of the athlete or the responsiveness of the athlete, of that during the real journey is different. 20 The stress level can be determined by means of a series of biometric data. For example, the heart rate, heart rate, cardiac variability and the electrodermal activity, ie the skin conductance, called for the measurement of the stress level, which stress can of course be determined on a number of other biometric data.
Figure 1 shows, for example, the time course 1 of the heart rate Hfr as a function of time, caused by the time course of a longitudinal acceleration a or the speed v for a period of a real journey. As longitudinal acceleration a is of course understood as a negative acceleration in the longitudinal direction, ie a longitudinal deceleration. It can be seen that, for example, during, or after, strong acceleration or deceleration phases, which represent changes in the longitudinal acceleration a, the heart rate Hfr correspondingly increases. Of course, a very similar time course 1 can also be set in the case of lateral acceleration or other forces acting on the driver.
Such a time course 1 of a biometric state of an athlete is in a first step during a period of time or even a total real journey, at 5/15
AV-3571 AT example, during a real training drive or a car race, determined or recorded. In this case, the corresponding biometric state can be determined with the aid of appropriate sensors. By way of example, in the selection of the heart rate Hf as a biometric state, the use of a chest strap as a measuring unit is known, as is known from a number of applications in the sports and medical sector.
For example only, the athlete's heart rate Hf is determined to be a biometric condition. As already noted, a number of other biometric data are also suitable for use as a biometric state. When using appropriate sensors or measuring units, they can also be recorded simultaneously. 10 This allows multiple biometric data to be used as a biometric state. During the real journey, in addition to the biometric state of the athlete, at least one parameter 5 of a vehicle used by the athlete is determined. In this case, for example, the longitudinal acceleration a of the vehicle is determined as parameter 5 in addition to the heart rate Hfr, which is selected, for example, as the biometric state of the athlete. As already mentioned, other forces acting on the driver can also be used as parameter 5.
As can be seen, there is a relationship between the heart rate Hfr as a biometric state of the athlete and, for example, the longitudinal acceleration a of the vehicle as parameter 5 dependent on the driving situation. The relationship indicates the change over time of the biometric state as a function of the time change of the parameter 5 and is determined during at least one time segment of the real journey.
FIG. 2 shows the comparison between the chronological progression 1 of the heart rate Hfr or the biometric state already shown in FIG. 1, which can result from a real journey, and a temporal training course 2 of the biometric state as for the same distance during one first training in a driving simulator can result. This self-adjusting temporal training course 2 of the athlete's biometric state is recorded or determined during the first training session in the driving simulator. The training is that the athlete in the driving simulator 30, the same distance with the same conditions as the original real drive leaves. It should be noted that both on the time course 1 as well as on the temporal course of training 2 advance no precise statements are to be made, since they are dependent on the physiological and psychological state of the athlete. 6.15
AV-3571 AT
It can be seen that the time course 1 and the time course 2 are similar. The temporal course of training 2, which results in driving in the driving simulator, but compared to the time course 1, which results in real driving, weakened. The heart rate Hft does not reach as high a level during exercise as during the actual ride. Also the rise and fall of the heart rate (heart variability) is less pronounced during the training than during the actual journey. The reason for this is the lower risk potential already mentioned and thus the lower stress level while driving in the driving simulator.
In a further step, the athlete completes a second training in the driving simulator in which the distance is simulated under the same conditions as the original real driving and the first training. As can be seen in FIG. 3, during this second training, however, the athlete is mentally stimulated, for example, by a tone sequence recorded via headphones, which represents auditory stimuli 6. The mental stimulation is performed according to the determined relationship between the biometric state of the athlete and the parameter 5, in sections. Preferably exactly in those sections or phases in which the difference between the time course 1 of the biometric state and its temporal training course 2 is particularly large. During the second training session in the driving simulator, the athlete's biometric status, modified by the athlete's mental stimulation as a function of the determined relationship, is approximated to the time course 1 of the athlete's biometric status.
By approach, it is to be understood that the difference between the time course 1 of a biometric state during the real journey and the time course 2 of the biometric state is reduced.
The mental stimulation in the form of auditory stimuli 6 is given by way of example only. A mental stimulation of the athlete by visual, sensitive or similar stimuli, or a combination thereof, is quite possible. Through mental stimulation, brain activity is actively influenced, thereby changing the biometric state of the driver with the aim of increasing the stress level.
The auditory stimuli 6, for example, are purposefully used in time coordination with the simulated longitudinal accelerations a. As a result, for example, the heart rate Hft during training in the driving simulator, that heart rate Hfr which sets in the real journey, adjusted depending on the longitudinal acceleration a. 7/15
AV-3571 AT
As can be seen, the modified temporal training course 7 of the athlete's biometric state corresponds to an at least partial approach to the time course 1 of the athlete's biometric state during the real journey. It should be noted that the modification takes place without the simulation itself. The simulated track conditions such as lane width or terrain, weather and in this context the visibility remains unchanged and equivalent to the real ride. Of course, other biometric states are possible instead of the heart rate Hf and other driving-dependent parameters 5 and combinations thereof.
As also shown in FIG. 3, for example, the auditory stimuli 6 do not have to be used over the entire route in order to carry out a modification of the driving simulator just described. The mental stimulation can also be used only in certain route passages or during certain periods of time. For example, a modification at very pronounced values of parameter 5 would be conceivable. For this purpose, the mental stimulation of the athlete would be used, for example, only when very high longitudinal accelerations a and / or other forces occur during exercise in the driving simulator.
The mental stimulation of the athlete can be realized by using an individual stimulus sequence. Individually, because, as already stated, both the time course 1 and the temporal training course 2 are dependent on the physiological and psychological state of the athlete. How exactly the stimulus sequence, which influences the temporal training course 2 of the biometric state of the athlete and thus forms the modified temporal training course 7, is therefore advantageously determined by tests during training. Each athlete can be assigned at least one individual stimulus sequence by these experiments. This allows, for example, for a specific route passage to modify the time course of training 2 of the biometric state of the athlete and to approximate the time course 1 of the biometric state of the athlete. The experiments may, for example, show that for another route passage a completely different sequence of stimuli is necessary in order to realize the said approximation of the two courses.
It should be noted that the time course 1 of a biometric state of an athlete, as it is during a period of time or even an entire real journey, is determined or recorded, can also be used for medical purposes.
If, for example, an accident or the like has occurred during the real journey, as a result of which the athlete's state of health is impaired, the data relating to the biometric state of the athlete can relate, for example, to first-aiders
AV-3571 AT other medical personnel. As a result, a more precise initial diagnosis or a more targeted care can be made possible. The combination with a specific, temporal change of a parameter 5 helps to create medical diagnoses, since in this case the longitudinal acceleration a acting on the athlete, for example, during an exercise is an important indication of a possible degree of injury.
As already stated, the measured or made available data and / or values which relate to the vehicle and / or the athlete and / or his mental stimulation by a measuring and / or evaluation and / or control and / or calculation -10 processing unit processed, which, however, is not localized. If, for example, an evaluation unit is arranged away from the vehicle, the measured data make it possible to avoid accidents, for example, by detecting an unusual time course 1 during a real journey, and, for example, stopping the athlete to end the real journey. A further variant shown in FIG. 4 provides that for the time course 1 of the athlete's biometric state, during at least one time segment of a real journey, its average value is formed in the form of an average value 3. The mean value 3 can be formed over a certain section of the route or over the entire journey. As for the time course 1, an average in the form of an average training value 4 is also formed for the temporal training course 2 of the athlete's biometric state during a first training session.
As can be seen, the training mean value 4 differs from the mean value 3 by the difference X. By this difference X, the driver is on average "less stressed" during training. As already noted, due to this difference X, the behavior and performance of the athlete in training differs from that in a real race or race.
As already described for Figure 3, the athlete completed in the driving simulator a second training in which the route is simulated under the same conditions as in the original, real driving and the first training. As shown in Figure 5, during this second workout, the athlete is again mentally stimulated. As a result, during the second training in the driving simulator, the training mean value 4 is approximated to the mean value 3 by the mental stimulation of the athlete. In this embodiment, however, the auditory stimulus 6 does not take place as a function of the parameter 5 but, for example, constantly over the entire training journey
AV-3571 AT over the corresponding route or time period. However, the auditory stimulus 6 does not have to occur during the entire training journey or the corresponding route or time segment.
As a result of this mental stimulation, the biometric state or its training mean value 4 is modified and thus approximated to the mean value 3 of the biometric state resulting during the real journey. In this case, the difference X between the mean value 3 and the training mean value 4 is reduced. Again, it should be noted that this is done without the simulation itself and the simulated track conditions remain unchanged and equivalent to the real ride.
The approximation of the training mean value 4 to the mean value 3 or the reduction of the difference X can be iterated in the course of several training runs, wherein, as just stated, the simulation of the real drive is not changed. During each training session, the training course 2 over time of the heart rate Hft is determined as a biometric state or its training mean value 4, whereby it has changed as a result of the mental stimulation. This process can be carried out until the training mean value 4 of the biometric state has been approximated by the athlete's mental stimulation to the mean value 3 of the biometric state. This determines how the auditory stimuli 6, for example, must be performed in order to compensate for the difference X between the mean value 3 and the training mean value 4 of the biometric state, or between real driving and training in the driving simulator. By way of example, a corresponding frequency is determined with which the auditory stimuli 6 must take place so that a certain difference X between the mean value 3 and the training mean value 4 can be compensated.
As already mentioned, in this second variant, the mental stimulation is not made punctually. The athlete is mentally stimulated accordingly over the entire journey in the driving simulator, so that the training mean value 4, ie the average stress level while driving in the driving simulator, approximately corresponds to the mean value 3, ie the average stress level during the real journey.
In the course of future training rides in the driving simulator, the thus determined, for example, auditory stimuli are used to modify the driving simulator accordingly.
How exactly the mental stimulation must occur depends on the athlete as well as the type of mental stimulation. In the exemplarily selected, mental stimulation by auditory stimuli 6, for example, the frequency of a tone sequence can be decisive. It may depend on how or how strongly a driver is mentally stimulated 10/15 5
AV-3571 AT or how strong the effects are with respect to the second biometric state.
The just mentioned, iterative determination thus helps to optimally adapt the method to different drivers. 11/15
权利要求:
Claims (5)
[1]
1. A method for modifying a driving simulator, characterized in that during at least one time period of a real journey, a time course (1) of a 5 biometric state of the athlete is determined that thereby at least one time course of a parameter (5) a vehicle used by the athlete is determined that between the time course (1) of the biometric state of the athlete and the time course of the parameter (5) of the vehicle, a relationship that the temporal change of the biometric state as a function of the time change of the parameter 10 (5) indicates that during a first exercise in the driving simulator an adjusting time course of training (2) of the athlete's biometric state is determined and that during another second training in the driving simulator the athlete's mental stimulation is dependent of the determined Related, modified time training course (7) of the biometric state of the athlete is approximated to the time course (1) of the biometric state of the athlete's real journey.
[2]
2. The method according to claim 1, characterized in that over the time course (1) of the biometric state of the athlete during at least a period of a real journey, an average value (3) is formed over the temporal training course (2) of the biometric state of During training for the first time in the driving simulator, an average training value (4) is formed, and during the second training in the driving simulator the training mean value (4) is approximated to the mean value (3) by mental stimulation of the athlete.
[3]
3. The method according to claim 1 or 2, characterized in that the mental stimulation of the athlete is carried out by auditory and / or visual and / or sensitive stimuli.
[4]
4. The method according to claim 3, characterized in that the mental stimulation of the athlete is realized by using at least one individual stimulus sequence.
[5]
5. The method according to claim 4, characterized in that the at least one stimulus sequence, which influences the temporal training course (2) of the biometric state of the athlete, is determined by tests during training. 12/15
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同族专利:
公开号 | 公开日
EP3069334A1|2016-09-21|
JP2016538594A|2016-12-08|
AT513204A3|2015-04-15|
JP6525995B2|2019-06-05|
US10446046B2|2019-10-15|
US20160260343A1|2016-09-08|
WO2015071033A1|2015-05-21|
AT513204B1|2015-06-15|
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法律状态:
优先权:
申请号 | 申请日 | 专利标题
ATA50755/2013A|AT513204B1|2013-11-13|2013-11-13|Method for modifying a driving simulator|ATA50755/2013A| AT513204B1|2013-11-13|2013-11-13|Method for modifying a driving simulator|
EP14784029.2A| EP3069334A1|2013-11-13|2014-10-09|Method for modifying a driving simulator|
PCT/EP2014/071633| WO2015071033A1|2013-11-13|2014-10-09|Method for modifying a driving simulator|
US15/030,723| US10446046B2|2013-11-13|2014-10-09|Method for modifying a driving simulator|
JP2016530225A| JP6525995B2|2013-11-13|2014-10-09|How to fix a driving simulator|
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