DE102022116271A1 - System for promoting recovery by sonicating a volume - Google Patents

Abstract

System (2) for irradiating a volume with sound, the irradiation of the volume serving to relax a user in the volume, the system (2) comprising: at least two loudspeakers (4), and an application (6), the application (6 ) is set up to be installed on a user's terminal (8), and wherein the system (2) is set up to read the user's first input data into the application (6), the user specifying an auditory scene via the first input data, and wherein the system (2) is set up to determine audio data depending on the user's first input data read in, and wherein the at least two loudspeakers (4) are set up to play the specific audio data and thus to irradiate the volume.

Description

Technical area

The technical field relates to a system for irradiating a volume, the irradiation of the volume serving the recovery of a user in the volume. Furthermore, the technical field relates to a system for irradiating the volume, the irradiation serving to improve the user's sleep.

State of the art

Systems for providing sound to recreational or sleeping areas are known from the prior art, with simple loudspeakers being used for this purpose. The sound is provided with natural sounds, which are intended to support recovery, falling asleep and generally a more restful sleep. Furthermore, sleep trackers, such as smartwatches, are known from the prior art, which provide conclusions about the quality of a user's sleep. So-called white noise machines are also known, which can generate appropriate noises for better sleep or easier falling asleep. A sound from these white noise machines always comes from one direction.

Presentation of the invention

The invention relates to a system for irradiating a volume with sound, the irradiation of the volume serving to relax a user in the volume. The volume may be a volume in a room, for example in a waiting room, in a treatment room, such as in a doctor's treatment room, such as around a dentist's treatment chair, a sauna, or in a bedroom. The volume can be completely or partially sonicated by the system. The system includes at least two speakers. The at least two loudspeakers can be set up so that they can provide sound to the volume in such a way that the user can immerse themselves in a 360° auditory scene in the volume. The system also includes an application. The application is set up to be installed on a user's device. The end device can be a cell phone, tablet, PC or a smartwatch. Furthermore, the system can have a storage medium and a computing unit. For example, at least one of the loudspeakers, the terminal on which the application is installed, or another unit can have the storage medium and the computing unit. For example, the storage medium and the computing unit can be implemented in a cloud. The application, the speakers, the storage medium and the computing unit can be connected to one another.

The system is set up to read the user's initial input data into the application. The user provides an auditory scene using the initial input data. Auditory scenes can be 360° scenes, whereby these can realistically reflect reality auditorily. The 360° scenes may have been recorded with special 360° microphones. An auditory 360° scene can be customized and alternatively or additionally expanded via user input. For example, an auditory scene may reflect the auditory reality of a jungle, a beach, or a meadow. A 360° auditory scene can also be an audio book that can be played to improve the user's recovery and alternatively or additionally to help the user fall asleep. Through the user's initial input data, the user can specify whether they want to immerse themselves in one of the scenes. Immersing yourself in such natural scenes can improve a user's recovery. The user can choose from an existing list of possible auditory scenes displayed in the application. The auditory scenes present in the application can be made available to the user via a subscription model. The auditory scenes can consist of different audio tracks. For example, an auditory scene may have foreground audio data and alternatively or additionally background audio data as soundtracks. Background audio data can include, for example, the sound of the sea, while foreground audio data can include, for example, birdsong. The auditory scene can be created by overlaying this foreground audio data with the background audio data. The system can be set up to select from a list of possible foreground audio data and background audio data and to use combinatorics to connect these with one another to form an auditory scene.

The system is set up to determine audio data depending on the user's first input data. When determining audio data, the system can determine volume, frequencies, specific sounds or a mix between different audio tracks. This allows specific foreground audio to be selected and mixed with background audio. For example, the user can pretend that they would like to immerse themselves in a forest with lots of birdsong. For this purpose, a light breeze in the forest can be used as background audio data, with foreground audio data different types of birdsong can be combined with the background audio data.

The at least two loudspeakers are set up to play the specific audio data and thus provide sound to the volume. The at least two loudspeakers can be set up in such a way that the user can immerse themselves audibly in the 360° scene they have selected by irradiating the volume. This allows the user to experience the selected scene as realistically as possible. This allows the user to auditorily immerse themselves in the scene, which can optimize the user's recovery.

According to a further embodiment, the system can comprise at least, in particular precisely, four loudspeakers. The four loudspeakers can be set up to reproduce the auditory scene specified by the user in the volume. For example, the four loudspeakers can be arranged at four corners of the volume, in particular at upper corners of the volume. If the room in which the volume for sound is located has a window or a door, an additional loudspeaker can be arranged near the window or near the door. This means that noises that normally reach the user from the window or door can be generated by this loudspeaker arranged on the window or door. For this purpose, the user can use the application to enter the relative position of the window or door relative to the sound volume or alternatively or additionally relative to the loudspeakers. The information regarding the relative position can include the direction and distance of the window or door from the volume to be irradiated. Alternatively or additionally, the user can enter the dimensions of the window or door via the application. This can further improve the user's immersion in the auditory scene. For example, the sound of rain hitting the window can be reproduced in the best possible way by this loudspeaker. Using four loudspeakers to provide sound to the volume can enable an improvement in a sound effect that could be produced by a surround sound system.

According to a further embodiment, the sonication of the volume can serve to improve the user's sleep. The system can be set up to determine the user's sleep quality. Sleep quality can be determined by the user's subjective perception of sleep quality. Alternatively or additionally, sleep quality can be measured using objectively measurable data such as heart rate, body temperature or blood pressure. An improvement in the user's sleep may occur if the quality of sleep increases within one night and alternatively or additionally over several nights. The system can be set up to determine the audio data, in particular using artificial intelligence, depending on the quality of sleep. Alternatively or additionally, the system can be set up to determine the audio data using adaptive information technology methods, such as machine learning. For example, the system can determine or mix audio data for the user by mixing different audio tracks from foreground audio data and background audio data. This audio data can be played by the speakers in order to provide sound to the volume in which the user may be located. The user's sleep quality can then be determined. This particular sleep quality can be viewed as a response to the particular audio data. The artificial intelligence may be set up to determine from this particular sleep quality of the user whether the mixing of the audio tracks for the audio data was successful or not in improving the sleep quality of the user and, if necessary, the system may adjust the audio data to increase the sleep quality. Feedback from the user's sleep quality to the audio data can thus be provided via artificial intelligence or a suitable algorithm in order to further improve the user's sleep quality. The audio data can be determined live depending on the quality of sleep. Alternatively or additionally, they can be determined over the long term, i.e. over several nights, depending on the user's sleep quality over several nights. If the audio data is determined over multiple nights, the audio data, as well as optionally the determined sleep quality, can be stored in the system's storage medium for access on later nights. For example, the system can detect that sleep quality improves when certain foreground audio data is mixed into the audio data, such as certain birdsong. This can be beneficial to the user's recovery and the user's sleep quality. The artificial intelligence, with which the audio data can be determined depending on the sleep quality, can be formed in the computing unit of the system, the computing unit being connected to the application installed on the user's end device.

According to a further embodiment, the system can be set up to read in the user's vital data. Vital data can include heart rate, blood pressure, body temperature, the user's subjective feeling and the body include the user's physical activity. The system can be set up to determine the user's sleep quality depending on the user's vital data read. For example, a consistently low resting heart rate can indicate good sleep quality and a rapidly changing resting heart rate can indicate poor sleep quality.

According to a further embodiment, the system can be set up to determine sleep phases during the user's sleep depending on the vital data. For example, the system can be set up to recognize that with a low resting heart rate and a low body temperature the user is in a deep sleep phase, whereas with high physical activity and a higher resting heart rate the user is in a waking sleep phase, for example REM phase. The system can be set up to determine the audio data, in particular using artificial intelligence or a suitable algorithm, depending on the user's specific sleep phases. For example, different audio tracks of the audio data can be mixed together differently by the system for the different sleep phases. For example, the same type of background audio data can always be used regardless of the specific sleep phases, but different foreground audio data can be used for a deep sleep phase than for a waking sleep phase. This means that the system can adapt the audio data to the sleep phases and the user's recovery can be optimally improved in all sleep phases.

According to a further embodiment, the system can be set up to determine the user's nightmares using the vital data while the user is sleeping. For example, a high resting heart rate may indicate that the user is having a nightmare. A high level of physical activity can also indicate an intensive REM sleep phase and thus a nightmare. The system can be set up to determine the audio data, in particular using artificial intelligence, depending on the nightmares. For example, certain foreground audio that has a more calming effect on the user may be increasingly mixed into the audio if the system detects that the user is experiencing a nightmare. Thus, nightmares can be avoided or at least shortened, which can improve the user's sleep quality.

According to a further embodiment, the system can be set up to read the user's second input data into the application as vital data. The user can use the application to enter whether they feel subjectively recovered, whether they feel healthy and, alternatively or additionally, what their general health is like. This second input data may reflect the user's subjective perception. The user can enter information about sleep quality into the application using the second input data. For example, after a sleep and after using the system to irradiate the volume, the user can provide feedback as to whether their subjectively perceived sleep quality was good or bad. Thus, the system can learn from these subjective perceptions of the user, determine the sleep quality depending on the subjective perception of the user, and determine audio data for future nights depending on the sleep quality.

According to a further embodiment, the system can be set up to read data from a tracking unit of the user into the application as vital data. The tracking unit can be a heart rate monitor with a chest strap, a smartwatch, a wearable or a mobile device such as a cell phone. The data may include information about sleep quality. Data from the tracking unit can be used to determine sleep quality based on objectively measured vital signs. The system can thus determine the user's sleep quality live and alternatively or additionally for subsequent use of the system by the user from the objectively measured vital data and, depending on this, determine the audio data.

According to a further embodiment, the system can be set up to read the user's third input data into the application. The user can specify a desired sleep goal using the third input data. The user can choose from a preselection or, alternatively or additionally, enter their sleep goal individually. A desired sleep goal can be, for example, a deep, restful sleep, a short recovery sleep like a power nap, or the achievement of another goal in addition to recovery, such as learning a new skill or storing a new habit in the subconscious. Learning a new skill or storing a new habit in the subconscious can be seen as an increase in productivity, also known as productive. Productives can be selected from a preselection, or alternatively or additionally, the user can enter their own task as a productive into the application. For example, the user can enter a current problem from their work as a task, such as team building, or a technical topic, such as software architecture. The The system can then be set up to determine a suitable productive for these entered tasks, for example by means of a search engine query for the entered task. Thus, the user's subconscious can find solutions to the tasks while sleeping, as the Productives ensure that the subconscious is busy with the tasks while sleeping. For such so-called productives, additional audio tracks can be mixed as additional foreground audio data with additional foreground and background audio data to form audio data. The system can be set up to determine audio data, in particular using artificial intelligence or suitable algorithms, depending on the user's read-in third input data. For example, the user can specify through the third input data that the user would like to be more confident. Alternatively or additionally, the user can pretend that they want to lose weight or exercise more. Foreground audio data, which can serve to increase self-confidence in the subconscious, can be mixed with other foreground and background audio data to form audio data and played to the user while they sleep. This can improve the user's self-confidence while sleeping. The system can be set up to make suggestions to the user about auditory scenes depending on the third input data. The system can be set up to first read the user's third input data into the application, then make suggestions to the user about auditory scenes and output them via the application, and then read the first input data into the application, with the user making a selection from the suggestions and thus creating an auditory scene. The system can be set up to make suggestions for auditory scenes depending on the desired sleep goal. An artificial intelligence can be set up to determine suggestions for auditory scenes depending on the desired sleep goal. For example, the user can pretend that he wants to have a deep sleep. The system can then suggest, for example, a forest or a beach as auditory scenes. Then the user can select a scene from the two suggestions. Depending on the selected scene, audio data can then be determined.

According to a further embodiment, if the user specifies a short sleep as a sleep goal, the system can be set up to determine audio data, in particular using artificial intelligence, so that the user is woken up by the sound of the volume before reaching a deep sleep phase or, alternatively, that the user is brought into a different, for example a lighter, sleep phase. Achieving a deep sleep phase can be determined by collecting vital data using the tracking unit and determining the user's sleep phase by the system. For example, if the body temperature decreases, the system can detect that the user is transitioning from a waking phase into a deeper sleep phase. The user can then be woken up or brought into a different sleep phase by irradiating the volume, for example by increasing the volume and alternatively or additionally by changing the audio tracks of the audio data.

According to a further embodiment, if the user specifies self-hypnosis as a sleep goal, the system can be set up to determine audio data, in particular using artificial intelligence or suitable algorithms, so that the self-hypnosis takes place in a specific sleep phase by irradiating the volume with self-hypnosis content. Self-hypnosis content can include language elements, such as texts read aloud by psychologists or coaches. The sleep phase can be determined depending on measured vital signs. For example, if the user is in a REM sleep phase and is particularly receptive to external content, the volume can be irradiated with the self-hypnosis content. As a result, self-hypnosis can be carried out most efficiently by playing self-hypnosis content to the user when the user is in a sleep phase in which the user can absorb such self-hypnosis content in the best possible way. Alternatively, self-hypnosis can be time-controlled and independent of a specific sleep phase.

According to a further embodiment, the system can be set up to store audio data determined by the system and associated vital data read in. For example, storage can take place in the storage medium, for example in a cloud. The system can be set up to load previously stored audio data and associated vital data of the user and alternatively or additionally other users, for example from the cloud. For example, loading can take place depending on data from the tracking unit. Thus, if the tracking unit detects that the user is in a volume that is equipped with the system, for example a hotel room, the system can automatically load previously stored audio data of the user. The tuples of audio data and associated vital data of a respective user can be coordinated with one another, which means that the audio data has been determined depending on the vital data in order to determine the sleep quality of the respective user, to which the audio data and the associated vital data can be assigned. For example, the user evaluated the tuple of audio data and associated vital data by entering second input data. In addition to the tuple of audio data and associated vital data, how the user felt after being exposed to the audio data and whether the exposure to the audio data led to a subjectively perceived recovery of the user can be stored in the storage medium. The system can be set up to train the artificial intelligence, with which audio data is determined depending on sleep quality, with the loaded audio data and vital data as training data in a monitored training session. For example, artificial intelligence can recognize schemas when certain trained audio data has resulted in improved sleep quality for many users and the user for whom the audio data is now to be determined has similar vital signs. In an artificial intelligence training process, the loaded vital data can be used as input data for the artificial intelligence, for example a neural network. This input data can represent a first part of training data. For example, a single-layer or multi-layer neural network can be used as the neural network. Alternatively or additionally, a forward and alternatively or additionally a recursive neural network can be used. The artificial intelligence can determine the sleep quality depending on the loaded vital data and further the artificial intelligence can determine audio data depending on the specific sleep quality, and thus depending on the loaded vital data. The specific audio data can be output data from artificial intelligence. This output data can then be compared by the artificial intelligence with the loaded audio data, which can represent a second part of training data. By comparing the specific audio data with the loaded audio data, the artificial intelligence can be trained. The artificial intelligence can thus be trained to determine audio data depending on the sleep quality, derived from the vital signs. Similarly, an artificial intelligence can be trained to determine audio data depending on nightmares. For this purpose, vital data and audio data can be used as training data, whereby the vital data can be used to determine whether a nightmare is present. Tuples of vital data and audio data can be used here, which were previously evaluated during previous use by a user, whether a nightmare occurred and whether the audio data led to recovery despite the nightmare and alternatively or additionally whether the audio data led to a short and have resulted in a less intense nightmare. This information from the user can be used to determine the tuples of vital signs and audio data which are indicative of a nightmare and which have resulted in a less intense nightmare. In a similar way, an artificial intelligence can be trained to determine audio data depending on third input data from the user. Tuples of third input data and audio data can be used here, which, measured by an evaluation of the user after using the audio data, led to the desired sleep goal. In a similar way, an artificial intelligence can be trained to determine suggestions for auditory scenes depending on third input data from the user, i.e. the user's desired sleep goal. Tuples of third input data and first input data can be used here, with audio data being determined as a function of this first input data, which, measured by the user's evaluation after using the audio data, led to the desired sleep goal. Similarly, artificial intelligence can be trained to determine audio data depending on specific sleep phases. The artificial intelligence can be trained using tuples of vital data and audio data as training data.

According to a further embodiment, the system may include a light source. The light source can include one or more LEDs. The light source can generate one or more, optimally adjustable, light temperatures, colors and light intensities. The system can be set up to control the light source, in particular using artificial intelligence or suitable algorithms, depending on the quality of sleep. The artificial intelligence can be trained in a similar way as described above, whereby tuples of vital data and information for controlling the light source can be used as training data, which, assessed by a user during previous use of the system, have led to increased sleep quality. For example, the light source can be controlled in such a way that the auditory scene is supported with appropriate light. For example, an auditory scene in a forest can be supported by green light to help the user become even more immersed in the auditory scene and the entire scene while falling asleep. By measuring and alternatively or additionally by determining the quality of sleep, it can be determined whether activating the light source is beneficial to the quality of sleep and, via this feedback, the activating the light source can be changed if necessary in order to further improve the quality of sleep. The light source can alternatively or additionally be controlled depending on the sleep phases. This means that the light can be emitted with a different color temperature during a waking sleep phase than during a deep sleep phase. Alternatively or additionally, the light source can be controlled depending on sleep goals. Thus, if the user specifies a power nap as a sleep goal, it can be determined that when a deeper sleep phase is reached, the light source emits light of a different color temperature and alternatively or additionally of a greater intensity, so that the user wakes up before he reaches a deep sleep phase .

According to a further embodiment, the system can include a controllable odor source. For example, the odor source may comprise a device with a nozzle, whereby a specific odor can be generated by atomizing a liquid with a flavoring substance. For example, aromatic substances that reproduce the smells of a forest, a meadow or the sea can be produced in this way. The system can be set up to control the odor source, in particular using artificial intelligence, depending on the quality of sleep. The artificial intelligence can be trained in a similar way as before, in that tuples of vital data, which can provide information about sleep quality, and information for controlling the odor source can be used as training data, which previously led to improved sleep quality when the system was previously used . For example, it can be measured that the quality of sleep is improved by diffusing an aroma that is reminiscent of the smell of the sea. Through feedback that this diffusion of the aroma improves sleep quality, the artificial intelligence can learn that it should continue to diffuse this aroma to maintain sleep quality. Alternatively or additionally, the system can be set up to control the odor source depending on the first input data. A scene in the forest can produce a different smell than a scene by the sea. Alternatively or additionally, the system can be set up to control the odor source depending on third input data. When the user specifies a productive, a different smell can be generated than when the sleep goal is deep sleep. The sleep goal can be optimally achieved through odor support. For example, if a productive involves learning a new skill, the smell or associated aroma can be used to associate the smell or aroma with the content of the productive to be learned. This makes it easier to recall the contents of the product from memory after using the system when smelling the smell or aroma. Thus, an olfactory memory technique can be provided by the system.

According to a further embodiment, the system can include a controllable air conditioning system. The air conditioning system can be used to adjust the temperature and, alternatively or additionally, the volume of airflow. The air conditioning system can have sensors that can determine the ambient temperature of the volume, the air pressure and alternatively or additionally the humidity. The system can be set up to control the air conditioning, in particular using artificial intelligence or suitable algorithms, depending on the quality of sleep. The artificial intelligence can be trained in a similar way as before, with tuples of vital data and information about controlling the air conditioning. Alternatively or additionally, the system can be set up to control the air conditioning system depending on the first input data. For example, the user can imagine the sound of the sea on a beach as an auditory scene. The air conditioner can then be controlled so that the user feels a light breeze and a cool temperature. By determining the quality of sleep from measured vital data, the artificial intelligence can then recognize whether controlling the air conditioning is beneficial to the quality of sleep and, if necessary, in order to further improve the quality of sleep, the activation of the air conditioning can be changed depending on the quality of sleep.

According to a further embodiment, the system can be set up to determine the audio data depending on psychoacoustic noises. For example, psychoacoustic sounds may include white noise sounds. These can be mixed as a further audio track, for example as further foreground audio data, with further background and foreground audio data to form audio data, in particular 360° auditory scenes. These white noise sounds can further enhance the user's sleep quality and can be mixed with the user's selected auditory scenes. Alternatively or additionally, these psychoacoustic sounds can be mixed with productives selected by the user.

According to a further embodiment, at least one of the at least two loudspeakers can have two audio outputs. The speaker's two audio outputs can point in different directions. For example, the different directions can be offset by 90°. So the first direction can be directed in the direction of the user, for example lying on a bed in the volume to be sonicated, or the volume to be sonicated and the The second direction can be directed towards a reflective object, for example a wall or a ceiling of the room in which the volume to be irradiated is located. A first audio output can emit audio signals of a first frequency range and a second audio output can emit audio signals of a second frequency range that is different from the first. The first audio output can emit audio signals directly to the user. The second audio output can emit audio signals onto a reflective object, such as a wall or ceiling. When reflected, a frequency shift can occur. This means that audio signals from the second audio output can be emitted in the ultrasonic range. By shifting the frequency on the reflecting object, these can be shifted into an audible frequency range. Thanks to the two audio outputs in two different directions, the auditory 360° scene can be implemented more realistically.

According to a further embodiment, the system can have at least one microphone. The microphone can be set up to detect ambient noise. For example, the system can be set up to detect ambient noises that come from a window, such as traffic noise. The system can be set up to determine noise suppression depending on detected ambient noise. In other words, the system can be set up to determine noise suppression as an audio sequence depending on the ambient noise recorded by the microphone and to output the audio sequence in such a way that it cancels out the ambient noise through superimposition. Noise canceling can therefore be defined as noise suppression. The system can be set up to determine audio data depending on the noise cancellation. Noise canceling can be mixed with other audio tracks, such as foreground and background audio data, and determined to be audio data. This means the user can find relaxation in the volume to be sounded, regardless of ambient noise. Alternatively or additionally, the system can be set up to determine appropriate noise suppression based on statistically common noise and frequencies. The use of a microphone is not necessary. Noise canceling based on such a specific noise suppression can also be carried out by a system without a microphone.

According to a further embodiment, exactly one speaker can be a master speaker and all other speakers can be slave speakers. The master speaker can be determined, for example, by selecting a speaker by the user in the application. Each speaker can be connected to the cloud. For example, each speaker can be connected to the cloud via a wireless or alternatively or additionally via a wired connection. For example, the connection can be made via a WLAN router. All speakers can be connected to each other wirelessly or wired, for example via Bluetooth.

According to a further embodiment, each speaker can be set up to load audio data directly from the cloud. Alternatively, at least one of the speakers can be set up to load audio data directly from the cloud. Direct loading from the cloud can be done without detours via another unit, for example another loudspeaker such as an existing one. Alternatively or additionally, audio data can be loaded indirectly from the cloud, for example via another speaker. In other words, the speakers can be set up to receive audio data from another speaker using local wired or wireless communication. Loading audio data from the cloud can ensure that only system-specific audio data is played and that no manipulative sounds or content are played to the user. Loading content from other speakers can reduce the amount of data transfer between the speakers and the cloud.

According to a further embodiment, the master speaker can be set up to load audio data from the cloud and the master speaker can be set up to send loaded audio data to the slave speakers. For example, the master speaker can load audio data via the WLAN router and send it to the slave speakers via Bluetooth.

According to a further embodiment, the master speaker can be set up to inform the slave speakers, in particular via Bluetooth, when each slave speaker should play the audio data. Each slave speaker can be controlled individually. The master speaker can thus trigger the playback of the audio data from each slave speaker.

According to a further embodiment, each speaker can be set up to load a list of audio data, directly or indirectly, from the cloud. The system, in particular the computing unit in the cloud, can be set up to determine the auditory scene and thus audio data. The computing unit can be set up to determine audio data from foreground audio data and background audio data. Alternatively or additionally, the computing unit can be set up to determine a schedule as to when which audio data is played, and information about this schedule can be stored in the list of audio data. All information about the auditory scene can be stored in the list of audio data. The list of audio data can thus include all necessary foreground and background audio data, as well as the schedule as to when which audio data, in particular foreground and background audio data, should be played, in particular through which specific loudspeaker the audio data should be played. The master speaker can be set up to trigger the slave speakers to play audio data in the list. For example, the list of audio data may include different audio tracks for different audio data and each of the speakers may load the list. The master speaker can trigger and thus control the playback of the audio data from the list by the slave speakers based on the schedule. The loading of the audio data can take place at a time that is decoupled from the playback. This makes it possible to distribute the audio tracks required for an audio scene among the speakers and to trigger them to play at a later point in time. This enables optimal synchronization of the speakers.

According to a further embodiment, the audio data may have an overlay of background audio data and foreground audio data. Each speaker can be set up to play the background audio independently. For example, each speaker can be set up to independently play background audio data via the list of audio data that has been loaded from the cloud. The master speaker can be set up to trigger playback of the foreground audio data by the slave speakers. This allows the playback of foreground audio data to be controlled by the master speaker and an optimal 360° auditory scene through the foreground audio data can thus be created by synchronous playback through all speakers.

Short description of the characters

• 1 shows a schematic representation of the system for sonicating a volume according to one embodiment.
• 2 shows a schematic representation of an application of a system according to an embodiment.

Detailed Description of Embodiments

1 shows a schematic representation of a system 2 for sonicating a volume. The volume is for a user's recovery in the volume. The user lies on a bed 22 which is located in the volume. Four loudspeakers 4 are arranged on the bed 22. The speakers 4 are arranged on corner posts of the bed 22. Alternatively, the speakers 4 are arranged and attached to a ceiling above the bed 22. Exactly one loudspeaker 4 is arranged on each of the corner posts of the bed 22. A light source 12 can be arranged on a bed post. An odor source 14 can be arranged on another bed post. An air conditioning system 16 can be arranged on another bed post. A microphone 18 can be arranged on another bed post. The system 2 also has a cloud 10. The system also has an application 6 installed on a terminal 8. The speakers 4 as well as the light source 12, the odor source 14, the air conditioning 16 and the microphone 18 are connected to the cloud 10 and the application 6, installed on the terminal 8, via a WLAN router 20.

The user is in the volume that can receive sound from the speakers 4. The user enters initial input data into the application 6 via the application 6 and thus specifies an auditory scene. Furthermore, the user can wear a tracking unit (not shown), such as a smartwatch, to determine vital data. This smartwatch is paired with the device 8. Furthermore, the user enters a desired sleep goal into the application 6 as third input data. The desired sleep goal and the desired auditory scene are sent to the cloud 10 via the application 6 and the terminal 8. The system 2 is then set up to determine audio data depending on the read-in first input data, the auditory scene, and depending on the read-in third input data, the desired sleep goal. For example, the user pretends that he wants a long sleep, wants to experience self-hypnosis and wants to be on a beach. The system is then set up to determine the audio data in the cloud 10 depending on these entered first and third input data. For this purpose, suitable background audio data, here for example the sound of the sea, is determined as audio data with suitable foreground audio data, such as a spoken text from a therapist as self-hypnosis content. Furthermore, the tracking unit measures the user's vital data throughout the entire time and sends these vital data to the cloud 10 via the terminal 8. In the cloud 10, the system 2 determines then, depending on the vital data measured, the user's sleep quality. The audio data is then determined depending on the sleep quality, determined from the measured vital data. The sound of the sea is intensified if the quality of sleep can improve, for example by playing certain sea sounds. As soon as the vital data show that the user is falling into a deeper sleep phase, for example, the light source 12 and alternatively or additionally the odor source 14 and alternatively or additionally the air conditioning 16 can be controlled in order to produce certain light and odors adapted to the auditory scene of the sound of the sea - and wind settings. When the user enters a waking sleep phase, measured by the tracker based on vital signs, the system 2 in the cloud 10 can determine that self-hypnosis should occur.

2 shows the application 6 installed on the terminal 8 according to one embodiment. You can see schematic illustrations of the speakers 4 as well as a horizontal distance 24 and a vertical distance 26 between the speakers 4. The user can thus specify the position in which the speakers 4 are relative to the bed 22. In an embodiment not shown, the user can use the application 6 to specify where windows or doors are located near or in the volume to be irradiated. The user can specify the relative position, including direction and distance, from the window or door to the speakers 4. In addition, the user can specify the dimensions of the window or door via the application 6. With these specifications, System 2 can irradiate the volume in such a way that

Noises that normally come from a window or door are generated by the speakers 4 in such a way that they are perceived to come from the direction of the window or door. A loudspeaker 4 arranged directly on the window or door can be dispensed with. Alternatively, a loudspeaker 4 can be arranged directly on the window or door in order to output the sounds coming from the window or door. For example, the information about the distance from the volume to be irradiated to the window can be used to determine audio data so that the volume is adjusted depending on the distance. This allows System 2 to better reproduce the auditory scene.

Reference symbols

2

system

4

speaker

6

application

8th

End device

10

Cloud

12

light source

14

Odor source

16

air conditioner

18

microphone

20

WLAN router

22

Bed

24

horizontal distance

26

vertical distance

Claims (24)

System (2) for irradiating a volume with sound, the irradiation of the volume serving to recover a user in the volume, the system (2) comprising: at least two speakers (4), and an application (6), wherein the application (6) is set up to be installed on a user's terminal (8), and where the system (2) is set up to read the user's first input data into the application (6), the user specifying an auditory scene via the first input data, and where the system (2) is set up to determine audio data depending on the user's first input data read in, and wherein the at least two loudspeakers (4) are set up to play the specific audio data and thus to irradiate the volume. System (2) after Claim 1 , wherein the system (2) comprises at least, in particular precisely, four speakers (4), and wherein the four speakers (4) are set up to reproduce the auditory scene specified by the user in the volume. System (2) according to one of the preceding claims, wherein the sonication of the volume serves to improve the user's sleep, and wherein the system (2) is set up to determine the user's sleep quality, and wherein the system (2) is set up to determine the audio data, especially using artificial intelligence, depending on the quality of sleep. System (2) after Claim 3 , wherein the system (2) is set up to read in the user's vital data, and wherein the system (2) is set up to determine the user's sleep quality depending on the user's read-in vital data. System (2) after Claim 4 , wherein the system (2) is set up to determine sleep phases during the user's sleep depending on the vital data, and wherein the system (2) is set up to determine the audio data, in particular by means of artificial intelligence, depending on the user's specific sleep phases to determine. System (2) according to one of the Claims 4 or 5 , wherein the system (2) is set up to determine the user's nightmares using the vital data while the user is sleeping, and wherein the system (2) is set up to determine the audio data, in particular using artificial intelligence, depending on the nightmares. System (2) according to one of the Claims 4 , 5 or 6 , wherein the system (2) is set up to read the user's second input data as vital data into the application (6), the user entering information about the sleep quality into the application (6) via the second input data. System (2) according to one of the Claims 4 , 5 , 6 or 7 , wherein the system (2) is set up to read data from a tracking unit of the user as vital data into the application (6), the data containing information about the quality of sleep. System (2) according to one of the Claims 3 until 8th , wherein the system (2) is set up to read the user's third input data into the application (6), the user specifying a desired sleep goal via the third input data, and the system (2) is set up depending on the read-in third User input data to determine audio data. System (2) after Claim 9 , wherein the system (2) is set up, if the user specifies a short sleep as a sleep goal, to determine audio data in such a way that the user is woken up by the sound of the volume before reaching a deep sleep phase or is brought into a lighter sleep phase. System (2) after Claim 9 or 10 , wherein the system (2) is set up, if the user specifies self-hypnosis as a sleep goal, to determine audio data in such a way that self-hypnosis takes place in a specific sleep phase by irradiating the volume with self-hypnosis content. System (2) according to one of the Claims 4 until 11 , wherein the system (2) is set up to store audio data determined by the system (2) and associated vital data read in, and wherein the system (2) is set up to load previously stored audio data and associated vital data of the user or other users, and where the system (2) is set up to train the artificial intelligence, with which audio data is determined depending on the quality of sleep, with the loaded audio data and vital data. System (2) according to one of the Claims 3 until 12 , wherein the system (2) comprises a light source (12), and wherein the system (2) is set up to control the light source (12), in particular by means of artificial intelligence, depending on the quality of sleep. System (2) according to one of the Claims 3 until 13 , wherein the system (2) comprises a controllable odor source (14), and wherein the system (2) is set up to control the odor source (14), in particular by means of artificial intelligence, depending on the quality of sleep. System (2) according to one of the Claims 3 until 14 , wherein the system (2) comprises a controllable air conditioning system (16), and wherein the system (2) is set up to control the air conditioning system (16), in particular by means of artificial intelligence, depending on the quality of sleep. System (2) according to one of the preceding claims, wherein the system (2) is set up to determine the audio data as a function of psychoacoustic noises. System (2) according to one of the preceding claims, wherein at least one of the at least two speakers (4) has two audio outputs, and wherein the two audio outputs of the speaker (4) point in different directions, and wherein a first audio output emits audio signals of a first frequency range, and wherein a second audio output emits audio signals of a second frequency range different from the first. System (2) according to one of the preceding claims, wherein the system (2) has at least one microphone (18), wherein the microphone (18) is set up to detect ambient noise, and wherein the system (2) is set up to provide noise suppression Depending on the detected ambient noise, and wherein the system (2) is set up to determine audio data depending on the noise suppression. System (2) according to one of the preceding claims, wherein exactly one speaker (4) is a master speaker and all other speakers (4) are slave speakers, and wherein each speaker (4) is connected to a cloud (10). is, and all speakers (4) are connected to one another. System (2) after Claim 19 , whereby each speaker (4) is set up to load audio data directly from the cloud (10). System (2) according to one of the Claims 19 or 20 , where the master speaker is set up to load audio data from the cloud, and where the master speaker is set up to send loaded audio data to the slave speakers. System (2) according to one of the Claims 19 until 21 , where the master speaker is set up to tell the slave speakers when each slave speaker should play the audio data. System (2) according to one of the Claims 19 until 22 , wherein each of the speakers (4) is set up to load a list of audio data from the cloud (10), and the master speaker is set up to trigger playback of audio data in the list by the slave speakers. System (2) according to one of the Claims 19 until 23 , wherein the audio data has a superposition of background audio data and foreground audio data, and wherein each of the speakers (4) is set up to play the background audio data independently, and wherein the master speaker is set up to trigger playback of the foreground audio data by the slave speakers.

Images