The present disclosure relates to systems, apparatuses, and methods for adjusting a mood, emotion, feeling, or affective state of a subject, and particularly for adjusting a mood, emotion, feeling, or affective state of a subject based one or more sensory stimuli applied to the subject and one or more biosignals obtained from the subject.
Sensory stimuli are known to affect or enhance the mood, emotions, feelings, and affective state of a subject to which the stimuli are applied. For example, certain auditory stimuli including sounds can affect the mood of a subject. Such auditory stimuli can, for example, cause the subject to relax or enter into a relaxed mood, causing the subject to experience a relief from stress and/or anxiety. Or alternatively, auditory stimuli can heighten senses and awareness in the subject. Auditory stimuli applied to a subject can also causes a release of dopamine or epinephrine, lower or increase amounts of cortisol, and causes other changes in levels of hormone and neural transmitters in the subject, causing different feelings of relaxation, euphoria, cravings, and excitement. For this reason, auditory stimuli, such as music, is known to have a significant effect on the mood, emotions, feelings, and affective state of a subject to which the stimuli are applied. This is evidenced by the relaxation felt by some while listening to classical or instrumental music. Or alternatively, by the excitement felt by a player listening to upbeat music while preparing mentally for a physical contest, such as American football, or by the motivating effect of appropriate music during performance of difficult physical activities, such as weight lifting or long-distance running, or by the euphoria felt by attendees at a rock concert that engage in headbanging behavior while listening to and feeling the vibrations of rock, punk, or heavy metal music genres.
Additionally, the effect of the applied sensory stimuli are known to have a measurable effect on a subject. For example, a release of hormones and neural transmitters, caused, for example, by auditory stimuli, causes measurable physiological or psychological changes in the subject. Such physiological or psychological changes may include changes in heart rate, blood pressure, body temperature, blood oxygen saturation, and sweating.
Similar to auditory stimuli, other sensory stimuli, such as visual, tactile, olfactory, and taste-based stimuli are known to causes measurable physiological or psychological effects in a subject. For this reason, in the field of massage therapy it is popular to provide lighting in a room that can cause the occupants to feel relaxed. And olfactory-based stimuli are known to have significant measurable physiological or psychological effects in a subject. For example, a foul odor can cause the subject to become physically ill, while a pleasant odor causes a subject to relax. In medical applications, smelling salts are known to arouse consciousness.
Although sensory stimuli, such as auditory stimuli, are known to affect the mood, emotions, feelings, and affective state of a subject to which the stimuli are applied, what the inventors of the present application have identified as a significant problem is that the efficiency and speed in causing a predetermined and desired change in mood, emotions, feelings, and affective state has not been well understood or studied. For example, treatment centers have been known where auditory stimuli have been applied to a subject and certain biofeedback signals have been obtained attempting to measure the effect of the applied auditory stimuli.
Additionally, certain computer applications (apps) have been developed for use by consumers, such as Calm, Headspace, Waking Up, and other meditation/mindfulness apps, that have been developed in what has been termed the self-care industry for stress relief and wellness. Such treatment centers and apps have been found to relieve stress and increase wellness. But as noted above, the efficiency of these programs and apps could be greatly improved. With growing public attention on mental health and how to avoid the harmful effects of too much stress, the demand for effective solutions is increasing, particularly with the limited amount of time and money subjects are able to spend on selfcare.
It is further noted that the need for efficient and effective selfcare, such as producing relaxation in the subject, is rising. For example, a 2019 Gallup World Poll found that people in the United States experienced 25% more stress, 32% more worry, and 38% more anger in 2018 than they had experienced in 2008. Additionally, the use of consumer applications is on the rise. For example, Headspace has been found to have 31 million users, with more than 1 million “premium” members of the provided service. Similarly, Calm has 26 million users, with more than 1 million “premium” members. Calm was nominated by Apple's App Store editors as one of their top apps of 2017, and Calm adds 50,000 new users each day. Further, with the COVID-19 pandemic of 2020, and the loss of loved ones, family, and friends, and the required social distancing, resultant worldwide economic downfall, and the closing of businesses, restaurants, and schools, the amount of stress, worry, and anxiety felt by the population has increased significantly.
Methods, systems, and apparatuses for adjusting a mood of a subject are provided, at least one method including applying one or more sensory stimuli to a subject, obtaining one or more biosignals from the subject, the one or more biosignals being indicative or correlative of a mood of the subject, generating a stimuli signal to adjust the sensory stimuli applied to the subject, and adjusting the one or more sensory stimuli applied to the subject based on stimuli signal to obtain a desired mood in the subject.
A system is provided for adjusting a mood of a subject, the system comprising a sensory stimulator system configured to apply one or more sensory stimuli to a subject, a sensor system configured to obtain one or more biosignals from the subject, the one or more biosignals being indicative or correlative of a mood of the subject, and a computer system having one or more processors configured to receive the one or more obtained biosignals, and based thereon, generate a stimuli signal to adjust the sensory stimuli applied to the subject by the sensory stimulator system. The sensory stimulator system adjusts the one or more sensory stimuli applied to the subject based on the generated stimuli signal to obtain a predetermined mood, emotion, feeling, or affective state in the subject.
A hardware storage device is provided having stored thereon computer executable instructions which, when executed by one or more processors of a computer system, configure the computer system to perform at least the following: apply one or more sensory stimuli to a subject; obtain one or more biosignals from the subject, the one or more biosignals being indicative or correlative of a mood of the subject; receive the one or more obtained biosignals and processing said biosignals by a computer system having one or more processors and based thereon, generating a stimuli signal to adjust the sensory stimuli applied to the subject; and adjust the one or more sensory stimuli applied to the subject based on the generated stimuli signal to obtain a predetermined mood, emotion, feeling, or affective state in the subject.
The drawing figures are not drawn to scale, but instead are drawn to provide a better understanding of the components and are not intended to be limiting in scope, but to provide exemplary illustrations.
While the disclosure is susceptible to various modifications and alternative constructions, certain illustrative embodiments are in the drawings described below. It should be understood, however, there is no intention to limit the disclosure to the specific embodiments disclosed, but on the contrary, the intention covers all modifications, alternative constructions, combinations, and equivalents falling within the spirit and scope of the disclosure.
A better understanding of the disclosure's different embodiments may be had from the following description read with the accompanying drawings in which like reference characters refer to like elements.
For an understanding of the interface system of the present disclosure, reference is made such relaxing platforms such as Calm or Headspace, mentioned above. These have promised to relieve stress and produce relaxation in the subject. Subject using these platforms choose soundscapes, music, and audio programming through a manual process hoping that the resultant auditory experience will bring calm to them. But the actual physical responses of the subject are not measured and are not considered. Alternatives such as therapy and meditation classes are not as accessible, due to pricing and availability.
The problems with existing and known mood adjusting platforms, such as the relaxations platforms of Calm and Headspace are at least as follows. First, these platforms have an undesirable learning curve. They take time for the user to figure out which aspects of the platform work for his or her condition or state and at what times. Platforms do not automatically tune to the right settings. Second, they require laborious production. The known mood-adjusting methods and systems often require a money payment per episode produced. Whether it's guided meditation or celebrity-voiced story, new content must be continuously added to the library to maintain audience engagement. And third, known and existing relation systems often provide generic content. Current audio relaxation platforms are often pre-recorded soundscapes hoping for a positive effect on the user, appealing to the widest audience without attention to users' immediate, actual reaction. Such methods therefore often take the one-size-fits-all approach, which produces at best mediocre results and are not as efficient or effective as could be for varying users.
In view of the above, the inventors of the present application have identified the problem that the efficiency and overall effect on the subject through application of sensory stimuli can be improved significantly from what is current done or known. Such a development would create a significant opportunity and improvement from known systems and methods, to more efficiently, effectively, and lastingly alter the mood, emotions, feelings, or affective state of the subject through measured application of sensory stimuli while obtaining measured biosignals from the subject, and based on the measured signals, adjusting the applied sensory stimuli. Additionally, based on the unique physiological, psychological, and personality characteristics of the subject, once the preferred sensory stimuli are determined (including a determined sequence of stimuli) such information can be recorded and subsequently used during later treatment sessions.
Accordingly, the aim and object of the present disclosure is to surpass the original treatment experience above through automated tuning using real-time biosensors in conjunction with artificial intelligence and machine learning as used by a computer system to improve treatment.
Although much of the present disclosure is directed to causing measurable relaxation in the subject, as noted above, similar principles and embodiments could be applied to cause different moods, feelings, emotions, of affective states in the subject, including euphoria, excitement, anxiety, cravings, motivation, etc. Additionally, while the subjects in the embodiments are shown to be human subjects, similar inventive principles could be applied to non-human subjects, including animals, such as dogs, cats, horses or other livestock in which a determined change in mood, feelings, emotions, or affective state is desired.
Relating to a treatment to increase relaxation felt by a subject, the process may start by laying the subject onto a small bed in a chamber with minimal sensory inputs. For example, the room may be darkened and the walls of the chamber may be soundproof. The only source of input to the subject is a high-fidelity sound system. The subject is first connected to a vital-signs monitor. A computer system controls the sound signals being sent to the chamber and receives and processes the vital signs response. Based on the received vital signs, the computer may adjust the settings of the sound to relax the subject. This is reflected in a change in the vital signs reading, such as a decreased heart rate or respiration rate. As such the computer system can efficiently and effectively induce a state of deep relaxation and sleep for the subject within minutes. Each session may be, for example, 30 minutes and at the end of the session the computer system will generate sounds that rouse the subject. At the end of this treatment the subject is fully relaxed and rejuvenated.
A first embodiment of such a system is shown in
Accordingly, the system 100 of the embodiment of
Various biosensors are described and provided in the embodiments described herein. However, it is noted that the biosensors should not be limited to the specific sensors described herein, but rather the significance of the sensor is to obtain biosignal data related to the desired adjustment in mood, emotions, feelings, or affective state of the subject. Such sensors therefore may include, but are not limited to, a sensor that obtains one or more biosignals obtained from the subject include data relating to electrodermal activity (EDA), galvanic skin response (GSR), electrodermal response (EDR), psychogalvanic reflex (PGR), skin conductance response (SCR), sympathetic skin response (SSR) and skin conductance level (SCL), blood pressure (BP), pulse oximetry, oxygen saturation, electroencephalography (EEG), electromyography (EMG), body movement based on one or more accelerometers or one or more gyroscopes, electrocardiography (ECG), temperature of the subject, thermal imaging, respiration, visual images of the subject, heart rate (HR), heart rate variability (HRV), photoelectric plethysmography (PPG), photoplethysmography imaging (PPGI), prefrontal cortex activity, oxyhemoglobin (oxy-Hb) concentration, cortisol levels including salivary cortisol levels, hair cortisol levels, and/or fingernail cortisol levels, pupil dilation, pupillometry, pulsimetry, accelerated plethysmography (APG), optical imaging of tissues of the subject including functional near infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), computed tomography (CT), magnetoencephalography (MEG), positron emission tomography (PET), or infrared spectroscopy (NIRS).
For example, galvanic skin response (GSR) is based on a the measured skin resistance due to the sweat glands of the skin. Sweating is controlled by the sympathetic nervous system, and skin conductance is an indication of psychological or physiological arousal. It is understood that if the sympathetic branch of the autonomic nervous system becomes aroused, sweat gland activity increases, which in turn increases skin conductance. In this way, skin conductance can be a measure of emotional and sympathetic responses, and reduced skin conductance is correlated with a relaxation of the subject.
A soundscape generally is considered to mean a sound or combination of sounds that forms or arises from an immersive environment. The term may refer to both the natural acoustic environment, including natural sounds, biophony, the sounds of weather and other natural elements, environmental sounds created by humans, such as musical composition, sound design, and language, work, and sounds of mechanical origin resulting from use of industrial technology. Crucially, the term soundscape also includes the listener's perception of sounds heard as an environment.
In the context of this disclosure, the term “soundscape” is intended to refer to an audio signal or recording or performance of sounds that create the perceived sensation of a particular acoustic environment, or compositions created using the sounds of an acoustic environment, either exclusively or in conjunction with musical performances. A generated soundscape may include various auditory signals or combinations of auditory signals with predetermined and/or varying frequencies, volumes, timbers, harmonies or harmonics, beats, rhythms, and/or binaural beats, etc.
The embodiment of
It should be noted that although MaxMSP is described in the embodiment above, the disclosure itself of course should not be considered to be limited to a MaxMSP platform or language. Other platforms or languages may equivalently be used, including but not limited to Pure Data (PD), AudioMulch, Bidule, Kyma, TouchDesigner, vvvv, OpenMusic, Nodal, and or other visual programming platforms.
In the embodiment of
The mood-adjusting system 401 of
The embodiment of
In the embodiment of the system 500 shown in
As shown in
The embodiments of
Protocol A2 (702) contains more abstract sounds that provide stimulation for conceptually-inclined persons and may appeal to those who might require a more illustrative soundscape. Protocol A2 (702) includes sound block 712 of 60-120 seconds of an intro soundscape; sound block 722 of 180-240 seconds of frequency scans A, B, and C; sound block 732 for 180 seconds with frequencies with binaural beats A, B, and C; sound block 742 for 180 seconds with frequencies and different harmonies A, B, and C; sound block 752 of 180 seconds with different frequencies with different timbres A, B, and C; sound block 762 with soundscape A, B, and C; and sound block 772 with an outro soundscape. As a control in testing, protocol B (703) may be a generic soundscape, for example as provided by Headspace, Calm, Omvana, or RelaxMelodies, etc., applied to the subject over the entire sound block 713.
As each of Protocols A1, A2, and B are applied to the subject, biosignal data is obtained to determine the physiological or psychological response of the subject, and to determine which soundscape most effectively produces the desired physiological or psychological response or physiological or psychological changes in the subject, based for example, on GSR, EEG, pulse oximetry, etc. It should be noted that although examples protocols are provided in
In the embodiments described herein, processing of the biosensor data may be performed and generation of the adjusted soundscape signals may be performed by the processor of an existing mobile platform 1010, such as a mobile phone or iPhone owned by the subject, on which an app is provided. Or alternatively, the existing mobile platform 1010, rather than process the biosensor data and generate the soundscape signals, may transmit the biosensor data to a server or processor within a cloud network, and appropriate soundscape signals may be generated and transmitted through the network to the mobile platform 1010 and from there, transmitted to, for example, headphones worn by the subject.
In conjunction with the mobile platforms 1010 of
According to other embodiments, an integrated system would include a vital signs monitor such as a Safe Heart iOx pulse oximeter that would feed the vital signs data as the biosignal data directly into a device that is termed here as a “ReSound box”, which is driver device for the speakers. The ReSound box would include a box that is connected to the internet that downloads high quality 256-bit original digital recordings from the cloud. The box is constructed with a high quality DAC (Digital to Analog Converter) and precisely balanced headphones that may include noise cancellation to ensure a consistent experience across all users. The dimensions of the box may be no bigger than the original iPod.
To use, the user subject places the headphones on their head and clips the vital signs monitor onto one of their fingers. On the app side, the user only needs to set one setting—session duration—whether to have a quick or longer session. Upon clicking a <Start Session> button, the Resound box would, based on the duration setting, begin an audio countdown to the session starting. The auditory guide would offer suggestions for body position and breathing, and also suggest possibly an eye mask to block out ambient light. In the first session, the ReSound box would play some test tones to establish a baseline and measure the physiological and psychological response of the user subject through the measured data. Using computer system having a processor configured to performed machine learning algorithms, the tones, volumes, frequencies, would be adjusted to suit the individual. After the first calibrating session is complete, the device would then continuously self-adjust to deliver more effective sessions over time.
According to another embodiment, Safe Heart provides the mobile vital signs monitors for use. Audio files are played back using a custom computer program through headphones or an audio setup plugged into the computer system. The computer system may be tied directly with the Safe Heart data cloud to stream the live readings, but such an arrangement is not necessary, as long as the vital signs with the biosignal data are able to be obtained.
According to this or other embodiments, the architecture of the system includes three primary components: (1) Max MSP Biofeedback processor that prepares and applies an algorithm, (2) an Orelo Demo App, and (3) Vital Signs+Soundscape Cloud Database. The system includes at least three secondary components that connect the primary components: (1) iOX MaxMSP Integration, (2) Vital Signs Export to Cloud, and (3) Soundscape Log Export to Cloud. It is again noted that although the MaxMSP platform is described in some embodiments, this disclosure is not limited to a MaxMSP platform or language. Other platforms or languages may equivalently and in fact may preferably be used, including but not limited to Pure Data (PD), AudioMulch, Bidule, Kyma, TouchDesigner, vvvv, OpenMusic, Nodal, and or other visual programming platforms.
Further, according to a further embodiment, a specialty version of an iOX app (APK or ipa file) is provided that has the ability to connect to a NodeJS service on a computer that is running MaxMSP that will receive the outputs from the iOX app. Additionally, a new variation of the iOX app is created with the above functionality but without the phone displaying the health results but instead a simplified interface for controlling the experience.
NodeJS is implemented for connection to Max MSP to export real-time data to the Max MSP patch. The Max MSP iOx patch connection allows the user to set the frequency of data updates from the iOX device (in Seconds). For example, a value of 4, will correspond to a measurement being updated every 4 seconds, with values allowed from 0.1 to 30 seconds.
According to this embodiment, the biosignal obtained from the biosensor 1330 is transmitted to a computer system 1360 through wire 1339 that performs processing on the obtained biosignal and based thereon, and provides a soundscape signal to be transmitted to the speakers 1310, 1320 to obtain a real-time adjustment to cause effective and efficient relaxation in the subject. Additionally, an operator 1370 may be provided with display screens 1360, 1365 to monitor the treatment of the subject. And a tablet 1380 is provided, which may transmit the biosignal and soundscape to a storage device in the cloud. Operator 1370, who may be a certified or trained therapist, may be at location near the subject being treated, or alternatively, the system may be arranged such that the operator 1370 may be remote from the subject, while receiving transmissions of the biosignals and applied audio stimuli in real time over a network, such as a local network or over the Internet. With such a system, the operator 1370 may adjust the applied audio stimuli to enhance the relaxation of the subject. And even still, the operator 1370 may receive stored biosignals and the corresponding applied audio stimuli such that the operator 1370 may provide audio stimuli at certain times based on certain biosignals to provide the subject such that a tailor-fit relaxation session.
In this embodiments, processing of the biosensor data obtained from the biosensor may be performed and generation of the adjusted soundscape signals may be performed by the computer system 1360. Or alternatively, the tablet 1380 or the computer system 1360, may transmit the biosensor data to a server or processor within a cloud network, and appropriate soundscape signals may be generated there and transmitted through the cloud network to the tablet 1380 or the computer system 1360, and from there, transmitted to, for example, the resound box 1315, and then transmitted to the respective speakers 1310, 1320 and subwoofer 1335.
According to this embodiment, the lighting level is adjustable. The bed 1304 is not a lie-flat bed, but rather a recline adjustable bed or chair, such as a lounge chair. If it is determined that the subject has fallen asleep, which in this case is not the desired object of the treatment, the subject may be woken through adjusting the lights or causing vibrations in the bed or chair. Additionally, olfactory stimulus associated with relaxation may also be applied to the subject, and tactile stimulus may also be applied, based, similar to the auditory stimulus, on the measured biosignal. Additionally, it is noted that hygiene is important in such an arrangement.
A mobile version of a mood-adjusting, relaxation system 1500 is shown in
Lastly, a spa-type mood-adjusting, relaxation system 1600 is shown in
According to this embodiment, the biosignal obtained from the biosensor 1630 is transmitted to a computer system 1660 that performs processing on the obtained biosignal and based thereon, and provides a soundscape signal to be transmitted to the speakers 1610, 1620 to obtain a real-time adjustment to cause effective and efficient relaxation in the subject. Additionally, an operator 1670 may be provided with display screens 1665 to monitor the treatment of the subject. And a tablet 1680 is provided, which may transmit the biosignal and soundscape to a storage device in the cloud.
In this embodiments, processing of the biosensor data obtained from the biosensor may be performed and generation of the adjusted soundscape signals may be performed by the computer system 1660. Or alternatively, the tablet 1680 or the computer system 1660, may transmit the biosensor data to a server or processor within a cloud network, and appropriate soundscape signals may be generated there and transmitted through the cloud network to the tablet 1680 or the computer system 1660, and from there, transmitted to, for example, the resound box 1615, and then transmitted to the respective speakers 1610, 1620, and subwoofer 1635.
According to this embodiment, the lighting level is adjustable. The bed 1604 is not a lie-flat bed, but rather a recline adjustable bed or chair, such as a lounge chair. If it is determined that the subject has fallen asleep, which in this case is not the desired object of the treatment, the subject may be woken through adjusting the lights or causing vibrations in the bed or chair. Additionally, olfactory stimulus associated with relaxation may also be applied to the subject, and tactile stimulus may also be applied, based, similar to the auditory stimulus, on the measured biosignal. Additionally, it is noted that hygiene is important in such an arrangement.
According to the embodiment, which may be implemented in a spa environment or a yoga studio, the interior decoration includes of comfortable leather recliner, taffeta curtains, electric waterfalls, plants 1647, and other decorations designed to invoke a feeling of calm. Aromatherapy may also be implemented within the system, and the sound of flowing water may also be implemented to cause relaxation. The lounge chair 1604 may be a carbon fiber chair that arranges the subject such that the subject sits and the chair reclines so that knees and heart parallel to floor. Twinkling of artificial starts may also be provided on ceiling, and similar to the auditory stimulus, the twinkling color and frequency and beats of the twinkling may be driven by biosignals obtained from the subject such that the visual stimulus of even the starts is driven to an optimized efficient and effective relaxation of the subject.
In another embodiment, the mood-adjusting relaxation system is implemented in a portable booth that can be easily transported and set up in an outdoor space. The booth may be self-cleaning, such as a misting system, air filter, ultraviolet light, so that it is sterilized in between appointments. Visual indicators on the outside of booth can let the operator and customer know that it is in cleaning mode. A reservation system may be provided with the booth so that people are not waiting to try the experience. A staffer may also be provided to greet the customer and clean the booth.
The storage 1715 may comprise instructions 1725 stored therein for operating a system for mood-adjusting stored thereon in a non-transitory form that, when executed by the one or more processors 1735, cause the one or more processors 1735 to carry out one or more of the steps described herein, in particular receiving the biosignal data and generating a soundscape signal to effective and efficiently adjust the relation state of the subject. The computer system 1701 may comprise one or more AI modules 1780 configured to apply the one or more neural networks.
As described, the mood adjustment system and method may be implemented by an app provided on a subject's mobile device, such as a mobile phone or tablet. Because the system is related to relaxation, simple symbols on the mobile device are preferred to control the app. As shown in
Upon the initial startup of the app, the app shows the head (the yellow circle) laying on the pillow (the horizontal bar). An animation moves the head to the Start position and the background changes color as well.
As shown in
As described above, the method and system described herein are intended to provide for mood adjusting of the subject, such as relaxation of the subject, based on biosensor data obtained from the subject. In the embodiments directed to relaxation of the subject by applied auditory soundscapes, various aspects of the applied auditory soundscape are adjusted based on real-time biosensor data obtained from the subject to most effectively produce the desired physiological or psychological response or physiological or psychological changes in the subject.
In the embodiments described herein, the biosignals data may include sound/heart rate latency. Decision points may be based on heart rate data. As shown in
According to an embodiment of the invention, one of the two leading fitness trackers on the market may be used: Fitbit and Apple Watch to obtain the biosignals. Apple Watch does allow continuous measurement of the heartrate without the user going to Exercise mode. The advantages of the Apple Watch are that the SDK is consistent across all devices. A downside with Apple Watch is that it limits the integration to the Apple family of products and does not support Fitbit. Fitbit has two types of products—the Charge series which upload the data to the cloud, and the devices that run the Fitbit OS. They are different types of devices with the Fitbit OS devices being more sophisticated technically. Only the Fitbit Ionic and Versa models, which run the Fitbit OS have SDKs allow creation of 3rd-party applications that run on them. Even though Fitbit is the number-one fitness tracker, there is a smaller percentage of users of Fitbit who have the Fitbit Versa rather than one of the devices that cannot be integrated.
Bluetooth 5.0 Wireless headphones may be used as the high-fidelity headphones. Headphone with an oximeter, accelerometer, galvanic skin response, body temperature may be used. The oximeter emitter and sensor may be placed on the foam cup of one ear. The accelerometer maybe provided in the headband. A GSR sensor may include a metal strip on top of the cushion of the headphones. The body temperature may include an infrared ear sensor. The audio driver should preferably be at least as good as Monoprice Premium DJ Headphones. Alternatively, an EEG may be incorporated into the headphones. Alternatively, glasses with biosensors may be worn by the subject.
It is significant to note that soundscape generation is based on biofeedback. And although many of the above embodiments are directed to relaxation of the subject, the same inventive principles may be applied to other moods, such as increase energy level, euphoria, cravings, excitement, wakefulness, motivation to endure, anxiety, or even an increased libido or sexual desire. The soundscape signal is generated dynamically based on the physiological reading. All audio signals are preferably generated in real-time according to bio signals, such as GSR, EEG, pulse, oxygen saturation, respiration rate, etc. Remote diagnosis can be carried out through the Internet. The measurement data of human body characteristic signals will be sent to a cloud server.
The server will recognize the machine learning algorithm [or with a human interpretation and manual guidance] and give the treatment plan. The treatment plan will include various physical interventions such as audio frequency intervention and light wave intervention.
According to embodiments of the disclosed method and system, soundscape settings are automatically generated by a computer system through algorithms via biofeedback sensors and delivers a personalized relaxation experience to the user. The system learns from previous sessions to enhance the user's experience. The system may be based on smart watches, electroencephalograms (EEG), galvanic skin response (GSR) sensors, and pulse oximeters.
Embodiments of the present disclosure may comprise or utilize a special-purpose or general-purpose computer system that includes computer hardware, such as, for example, one or more processors and system memory, as discussed in greater detail below. Embodiments within the scope of the present disclosure also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures. Such computer-readable media can be any available media that can be accessed by a general-purpose or special-purpose computer system. Computer-readable media that store computer-executable instructions and/or data structures are computer storage media. Computer-readable media that carry computer-executable instructions and/or data structures are transmission media. Thus, by way of example, embodiments of the disclosure can comprise at least two distinctly different kinds of computer-readable media: computer storage media and transmission media.
Computer storage media are physical storage media that store computer-executable instructions and/or data structures. Physical storage media include computer hardware, such as RAM, ROM, EEPROM, solid state drives (“SSDs”), flash memory, phase-change memory (“PCM”), optical disk storage, magnetic disk storage or other magnetic storage devices, or any other hardware storage device(s) which can be used to store program code in the form of computer-executable instructions or data structures, which can be accessed and executed by a general-purpose or special-purpose computer system to implement the disclosed functionality of the disclosure.
Transmission media can include a network and/or data links which can be used to carry program code in the form of computer-executable instructions or data structures, and which can be accessed by a general-purpose or special-purpose computer system. A “network” may be defined as one or more data links that enable the transport of electronic data between computer systems and/or modules and/or other electronic devices. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computer system, the computer system may view the connection as transmission media. Combinations of the above should also be included within the scope of computer-readable media.
Further, upon reaching various computer system components, program code in the form of computer-executable instructions or data structures can be transferred automatically from transmission media to computer storage media (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computer system RAM and/or to less volatile computer storage media at a computer system. Thus, it should be understood that computer storage media can be included in computer system components that also (or even primarily) utilize transmission media.
Computer-executable instructions may comprise, for example, instructions and data which, when executed by one or more processors, cause a general-purpose computer system, special-purpose computer system, or special-purpose processing device to perform a certain function or group of functions. Computer-executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code.
The disclosure of the present application may be practiced in network computing environments with many types of computer system configurations, including, but not limited to, personal computers, desktop computers, laptop computers, message processors, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, tablets, pagers, routers, switches, and the like. The disclosure may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks. As such, in a distributed system environment, a computer system may include a plurality of constituent computer systems. In a distributed system environment, program modules may be located in both local and remote memory storage devices.
The disclosure of the present application may also be practiced in a cloud-computing environment. Cloud computing environments may be distributed, although this is not required. When distributed, cloud computing environments may be distributed internationally within an organization and/or have components possessed across multiple organizations. In this description and the following claims, “cloud computing” is defined as a model for enabling on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services). The definition of “cloud computing” is not limited to any of the other numerous advantages that can be obtained from such a model when properly deployed.
A cloud-computing model can be composed of various characteristics, such as on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service, and so forth. A cloud-computing model may also come in the form of various service models such as, for example, Software as a Service (“SaaS”), Platform as a Service (“PaaS”), and Infrastructure as a Service (“IaaS”). The cloud-computing model may also be deployed using different deployment models such as private cloud, community cloud, public cloud, hybrid cloud, and so forth.
Some embodiments, such as a cloud-computing environment, may comprise a system that includes one or more hosts that are each capable of running one or more virtual machines. During operation, virtual machines emulate an operational computing system, supporting an operating system and perhaps one or more other applications as well. In some embodiments, each host includes a hypervisor that emulates virtual resources for the virtual machines using physical resources that are abstracted from view of the virtual machines. The hypervisor also provides proper isolation between the virtual machines. Thus, from the perspective of any given virtual machine, the hypervisor provides the illusion that the virtual machine is interfacing with a physical resource, even though the virtual machine only interfaces with the appearance (e.g., a virtual resource) of a physical resource. Examples of physical resources including processing capacity, memory, disk space, network bandwidth, media drives, and so forth.
Certain terms are used throughout the description and claims to refer to particular methods, features, or components. As those having ordinary skill in the art will appreciate, different persons may refer to the same methods, features, or components by different names. This disclosure does not intend to distinguish between methods, features, or components that differ in name but not function. The figures are not necessarily drawn to scale. Certain features and components herein may be shown in exaggerated scale or in somewhat schematic form and some details of conventional elements may not be shown or described in interest of clarity and conciseness.
Although various example embodiments have been described in detail herein, those skilled in the art will readily appreciate in view of the present disclosure that many modifications are possible in the example embodiments without materially departing from the concepts of present disclosure. Accordingly, any such modifications are intended to be included in the scope of this disclosure. Likewise, while the disclosure herein contains many specifics, these specifics should not be construed as limiting the scope of the disclosure or of any of the appended claims, but merely as providing information pertinent to one or more specific embodiments that may fall within the scope of the disclosure and the appended claims. Any described features from the various embodiments disclosed may be employed in combination. In addition, other embodiments of the present disclosure may also be devised which lie within the scopes of the disclosure and the appended claims. Each addition, deletion, and modification to the embodiments that falls within the meaning and scope of the claims is to be embraced by the claims.
Certain embodiments and features may have been described using a set of numerical upper limits and a set of numerical lower limits. It should be appreciated that ranges including the combination of any two values, e.g., the combination of any lower value with any upper value, the combination of any two lower values, and/or the combination of any two upper values are contemplated unless otherwise indicated. Certain lower limits, upper limits and ranges may appear in one or more claims below. Any numerical value is “about” or “approximately” the indicated value, and takes into account experimental error and variations that would be expected by a person having ordinary skill in the art.
Filing Document | Filing Date | Country | Kind |
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PCT/US2021/059688 | 11/17/2021 | WO |
Number | Date | Country | |
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63114806 | Nov 2020 | US |