Mindfulness feedback device

Abstract

There is described a mindfulness feedback device arranged to provide a mindfulness session, the device comprising: an output means for providing a first mindfulness session based on a parameter; an input means for receiving feedback relating to the first mindfulness session; and means for updating the parameter so as to enable a second, different, mindfulness session to be provided following the provision of the first mindfulness session.

Description

[0001] Mindfulness feedback device

[0002] Field of the disclosure

[0003] The present disclosure relates to a mindfulness feedback device as well as methods for manufacturing, configuring, updating, and operating the device. In particular, the present disclosure relates to a mindfulness device for providing a sophrology session.

[0004] Background to the Disclosure

[0005] A rise in use of mobile devices has correlated with a sharp decrease in mental health. Increased screen time, particularly before and immediately after waking, has been shown to result in reduced sleep and increased stress levels.

[0006] Mindfulness techniques have become popular as a way of improving mental health. Such techniques, when used correctly, are associated with positive outcomes. However, they face several barriers to wider adoption. Firstly, when an individual is stressed, they are less likely to make time for a mindfulness or meditation session. Secondly, individuals generally require guidance in order to practice mindfulness successfully, and such guidance may not be available when an individual desires to perform their practice.

[0007] There is therefore a need to provide better systems and devices that can be used for mindfulness purposes.

[0008] Summary of the Disclosure

[0009] According to a first aspect of the present disclosure, there is described: a mindfulness feedback device arranged to provide a mindfulness session, the device comprising: an output means (e.g. an output and / or a user interface) for providing a first mindfulness session based on a parameter; an input means (e.g. a user interface and / or a communication interface) for receiving feedback relating to the first mindfulness session; and means for (e.g. a processor and / or a communication interface for) updating the parameter so as to enable a second, different, mindfulness session to be provided following the provision of the first mindfulness session.

[0010] Preferably, the output means comprises one or more of: a light, a speaker, and a haptic device.

[0011] Preferably, the input means comprises a touch-sensitive surface.

[0012] Preferably, the device comprises a central recess or aperture, and the input means comprises an annular touch-sensitive surface that encircles the recess or aperture.

[0013] Preferably, the touch-sensitive annular surface covers a majority of the surface area of the device.

[0014] Preferably, the device is an annular device.

[0015] Preferably, the device comprises a communication interface, the communication interface being arranged to: receive the parameter from a further computer device; and / or transmit the feedback to a further communication device; and / or receive the updated parameter from a further computer device.

[0016] Preferably, updating the parameter comprises updating the parameter using a machine learning model, preferably a machine learning model implemented on a further computer device. Preferably, the parameter is associated with one or more of: a length of a session; an intensity of a session; and one or more activities included in a session.

[0017] Preferably, the parameter is determined based on one or more of: a geolocation of the mindfulness feedback device; a time of day; a level of ambient light; a level of ambient noise; and a room that is a location of a user.

[0018] Preferably, the parameter is determined based on one or more of: a goal of a user; and an ability of a user.

[0019] Preferably, the input means is arranged to receive feedback after completion of the first mindfulness session.

[0020] Preferably, the input means is arranged to receive feedback during the first mindfulness session; and the means for updating the parameter is arranged to update the parameter after the first mindfulness session.

[0021] Preferably, the device is arranged to provide the first mindfulness session based on one or more of: a current mood of a user; a current energy level of a user; a rating of a previous meditation session provided to a user; and a time available for a meditation session.

[0022] Preferably, the input means comprises a sensor, preferably a heart rate sensor, a breath sensor, a camera, and / or a microphone. Preferably, the sensor comprises a passive infrared sensor (PIR) or a millimeter-wave (mmWave) sensor.

[0023] Preferably, the device is arranged to operate in each of a first audio setting and a second audio setting, wherein the first and second audio settings are associated with different volumes. Preferably, the device is arranged to switch between the first and second audio settings based on a detected movement of the device.

[0024] Preferably, the device is arranged to switch between the first and second audio settings based on a detection that the device is being moved towards and / or away from an ear of a user.

[0025] Preferably, the device is arranged to initiate the first mindfulness session in dependence on a time trigger.

[0026] Preferably, the device is arranged to initiate the first mindfulness session in dependence on a detection that a user is going to sleep.

[0027] Preferably, the device is arranged to initiate the first mindfulness session in dependence on a detection that a user is waking up.

[0028] Preferably, the device is arranged to update a user profile based on the feedback.

[0029] Preferably, the device is at least partially covered with a soft or elastic material.

[0030] Preferably, the device comprises an artificial intelligence, Al, module for conversing with a user. Preferably, the Al module is arranged to determine the feedback during a conversation with the user.

[0031] Preferably, the device comprises speaker outlets positioned along a circumference of the device.

[0032] Preferably, the device comprises a microphone. Preferably, the device comprises a plurality of microphones positioned along a circumference of the circular device. Preferably, the device comprises a plurality of lights, preferably a plurality of LEDs, more preferably a plurality of lights positioned radially around the device.

[0033] Preferably, the plurality of lights comprise at least one light of a first colour and at least one light of a second colour.

[0034] Preferably, the device comprises one or more of: a gyroscope; an accelerometer; a Bluetooth® and / or WiFi interface; a haptic element; a location sensor; a GPS sensor a light sensor; and a microphone. Preferably, the sensor comprises a passive infrared sensor (PIR) or a millimeterwave (mmWave) sensor.

[0035] Preferably, the input means is capable of double touch detection.

[0036] Preferably, the device has reflective symmetry about a mirror plane containing the circumference of the device.

[0037] Preferably, the device comprises a proximity sensor for detecting that a further computer device has been moved near to the mindfulness feedback device. Preferably, the mindfulness feedback device comprises a communication interface for interacting with the further computer device so as to receive the feedback and / or to change a setting of the mindfulness feedback device.

[0038] According to another aspect of the present disclosure, there is described a method of operating the aforesaid device, the method comprising: providing the first mindfulness session; receiving an input from a user via the input means, the input comprising the feedback; and determining the updated parameter based on the feedback.

[0039] Preferably, the method comprises: receiving an input from a user; and based on the input, setting and / or changing a function on the device.

[0040] Preferably, the input comprises a swipe input and is input via the touch-sensitive annular surface of the device.

[0041] Preferably, the method further comprises determining, based on the swipe input, at least one of: an arc length of the swipe input, a duration of the swipe input, and an orientation of the swipe input.

[0042] Preferably, the input comprises a tap input which is input via the touch-sensitive annular surface of the device.

[0043] Preferably, the method further comprises: inputting the user feedback into a machine learning model, preferably a machine learning model implemented on a further device; and receiving the updated parameter from the machine learning model.

[0044] Preferably, the user feedback indicates a current state of a user.

[0045] Preferably, the user feedback indicates at least one of: a current mood; a current energy level; a rating of a previous meditation session; and a time available for a meditation session. Preferably, setting the function is additionally based on a current time, location, and / or a user profile.

[0046] Preferably, the user input comprises setting an alarm.

[0047] Preferably, the input comprises a voice input provided to a speaker of the device. Preferably, the method further comprises inputting the voice input into a machine learning model. Preferably, the input comprises a signal received from a client device of the user, preferably a mobile phone of the user. Preferably, the method comprises: determining that the client device has been brought near to the mindfulness feedback device; displaying, on the client device, a series of input options; receiving, by the client device, a user selection of an option from the input options; and transmitting a signal representing the option to the mindfulness feedback device.

[0048] Preferably, the input comprises a motion input.

[0049] According to another aspect of the present disclosure, there is described a mobile application for use with the aforesaid device, the application configured to: receive, from a user, an input; provide the input and a user profile to a machine learning model; and receive, as an output of the machine learning model, a recommended meditation session.

[0050] According to another aspect of the present disclosure, there is described a system comprising: the aforesaid device; and a further computer device comprising a machine learning model for determining the updated parameter.

[0051] According to another aspect of the present disclosure, there is described a method of manufacturing the aforesaid device.

[0052] Any feature in one aspect of the disclosure may be applied to other aspects of the invention, in any appropriate combination. In particular, method aspects may be applied to apparatus aspects, and vice versa.

[0053] Furthermore, features implemented in hardware may be implemented in software, and vice versa. Any reference to software and hardware features herein should be construed accordingly.

[0054] Any apparatus feature as described herein may also be provided as a method feature, and vice versa. As used herein, means plus function features may be expressed alternatively in terms of their corresponding structure, such as a suitably programmed processor and associated memory.

[0055] It should also be appreciated that particular combinations of the various features described and defined in any aspects of the disclosure can be implemented and / or supplied and / or used independently.

[0056] The disclosure also provides a computer program and a computer program product comprising software code adapted, when executed on a data processing apparatus, to perform any of the methods described herein, including any or all of their component steps.

[0057] The disclosure also provides a computer program and a computer program product comprising software code which, when executed on a data processing apparatus, comprises any of the apparatus features described herein.

[0058] The disclosure also provides a computer program and a computer program product having an operating system which supports a computer program for carrying out any of the methods described herein and / or for embodying any of the apparatus features described herein.

[0059] The disclosure also provides a computer readable medium having stored thereon the computer program as aforesaid.

[0060] The disclosure also provides a signal carrying the computer program as aforesaid, and a method of transmitting such a signal. As used herein, a touch of the user may refer to a touch of the user using an appendage of the user (e.g. a finger). Equally, a touch of the user may refer to a touch of the user using an implement, such as a stylus.

[0061] The disclosure extends to methods and / or apparatus substantially as herein described with reference to the accompanying drawings.

[0062] The disclosure will now be described, by way of example, with reference to the accompanying drawings.

[0063] Description of the Drawings

[0064] Figures 1a and 1 b show a first embodiment of a mindfulness feedback device.

[0065] Figures 2a and 2b show a second embodiment of a mindfulness feedback device.

[0066] Figure 3 shows a method of operating a mindfulness device.

[0067] Figure 4 shows an exemplary module architecture that can be used to produce a session recommendation.

[0068] Figure 5 shows a method of providing personalised feedback to a user.

[0069] Figure 6 describes a method of providing a further mindfulness session based on feedback provided during a first mindfulness session.

[0070] Figure 7 shows an example user interface that may be used to operate a mindfulness feedback device.

[0071] Figures 8a and 8b show further user interfaces that may be used to operate a mindfulness feedback device.

[0072] Figure 9 shows a method of providing content items to a mindfulness feedback device.

[0073] Description of the preferred embodiments

[0074] Referring to Figures 1a and 1 b, there is shown a first embodiment of a mindfulness feedback device 100 according to the present disclosure. Figure 1 a shows the mindfulness feedback device from a top view; Figure 1 b shows a cross-section of the mindfulness feedback device.

[0075] The mindfulness feedback device 100 is arranged to provide an output to a user in order to provide a mindfulness session. For example, the mindfulness feedback device may output a sound, a light, or a vibration. The mindfulness feedback device is arranged to receive feedback in relation to this session, e.g. via a touch input or a communication interface. The mindfulness feedback device can then provide a further mindfulness session based on the feedback.

[0076] As shown by these figures, the mindfulness feedback device 100 is typically circular in shape. More specifically, the mindfulness feedback device is typically an annular (or doughnut-shaped) device, which comprises a central aperture 102 and an annular input surface 104 that surrounds the central aperture. Typically, the input surface comprises a touch-sensitive surface, where a user of the device is then able to provide inputs, such as tap inputs and swipe inputs, to the device by touching the input surface.

[0077] While it will be appreciated that numerous methods of input are possible, and that the device may (additionally or alternatively) be provided with input structures such as buttons, sliders, or rotary dials, the use of an annular input surface 104, in particular a touch-sensitive annular input surface, provides a device 100 that can receive input around the entirety of the device regardless of the orientation of the device. Therefore, in contrast to conventional devices that have a top and a bottom, whatever angle the mindfulness feedback device is at in relation to the user, the user is able to provide inputs with ease.

[0078] Furthermore, the provision of the aperture 102 enables a user to easily and ergonomically grip the device so as to move the device 100 between locations or to interact with the device. In some embodiments, the device is arranged to provide a haptic feedback (e.g. a vibration) to a user, where the aperture then enables a user to grip the device and to experience this haptic feedback. The device may comprise, e.g. may be covered with, a soft or an elastic material such as silicone or rubber in order to improve the user experience of a user gripping the device.

[0079] As shown in Figure 1 b, the sides of the mindfulness feedback device 100 typically comprise curved portions that, curve around the aperture 104 and the extremities of the device ensuring that there are no sharp edges that might hurt a user when they are interacting with the device.

[0080] While the embodiment of Figures 1a and 1 b shows an annular device 100 that comprises an aperture 102 extending the whole way through the device, it will be appreciated that this aperture is optional. In some embodiments, the device instead comprises a recess located in the interior, e.g. at the centre, of the device to enable a user to grip the device using the recess.

[0081] In general, the device typically has a circular perimeter and rotational symmetry. The device may comprise an internal aperture or a recessed portion (e.g. to enable a user to grasp the device). Equally, the device may have a uniform thickness. While the device shape is generally rotationally symmetric, the device may comprise componentry that is located towards a particular side or edge of the device (e.g. a screen may be located on a first side or a first half of the device).

[0082] Referring to Figure 2a, there is shown a top view of a second embodiment of the mindfulness feedback device 100. In this embodiment, the mindfulness feedback device comprises one or more radial lights 106 that extend radially along the device as well as a point light 108.

[0083] The radial lights 106 are elongated in shape and are positioned radially around the central aperture 102 along the touch-sensitive surface 104, like spokes on a wheel. The point light 108 is rounded in shape and is positioned in line with one of the radial lights.

[0084] In use, the lights on the device 100 enable the device to provide an output based on a user input. For example, the device may display a current time as a default setting. This may involve selectively lighting the radial lights 106 to emulate the hour and minute hands of a clock. In various embodiments, radial lights may be provided at 24, 36, 48, positions around the device or may be provided as a continuous light around the clock. The point light 108 may indicate a position of 12 o’clock on the device. The lights may each be multicoloured lights enabling the device to readily differentiate between an hour hand and a minute hand. In some embodiments, the device comprises 72 radial lights. In some embodiments, the lights are LEDs.

[0085] It will be appreciated that the radial lights 106 and the point light 108 are simply an example of an output structure that can provide information to a user and that various other outputs are possible. For example, screens, vibrating motors, and speakers. In some embodiments, the input surface 104 comprises both an input and an output surface, such as a touchscreen. The mindfulness feedback device 100 may be arranged to display a time set by a user for an alarm. In some embodiments, the device comprises a plurality of differently coloured lights at each radial position where this allows an alarm time to be presented using a first colour while the current time is presented using a second colour.

[0086] At or prior to an alarm time, at least one light of the device may be switched on and / or may increase in intensity. Light encourages humans to wake up, and so providing or increasing a light at or prior to the alarm time may reduce unpleasantness of the alarm, reduce a stress response on waking, and improve alertness at the alarm time.

[0087] The lights may also be used to assist in a meditation session. For example, the radial lights 106 and / or the point light 108 may be used as a breathing guide. The lights may switch on, change in intensity, and / or change in colour, in order to guide a user on a breathing practice of timed inhalation and exhalation. Alternatively or additionally, an arc of radial lights may illuminate to show a user’s progress through an activity, such as through an inhalation, exhalation, or holding of a breath, or through another meditation activity such as a sustained focus. Such a display may allow a user to time their actions more easily, without conscious effort, improving a meditation experience. In examples, an arc of radial lights may light up so that the proportion of radial lights that are lit indicates the proportion of the activity that is complete. In other examples, an arc of radial lights may light up so that the proportion of radial lights that are lit indicates the proportion of the activity that is incomplete. In other examples, the radial lights may be used to indicate progress in different ways and / or for other functions. For example, some radial lights may illustrate a number of times a task has already been completed or is to be completed, while one or more radial lights may show progress based on the position on the device which is illuminated. For example, a position of at least one radial light that is illuminated may progress clockwise or anticlockwise around the device to indicate progress through an activity.

[0088] In some embodiments, the mindfulness feedback device 100 comprises a sensor, such as a microphone or a camera, that is able to measure a characteristic of a user’s activity, such as their breathing rate or their posture. The lights (or another output mechanism) may then be used to provide feedback on this characteristic, to identify a target for a user, and / or to alert the user as to an issue with the characteristic. For example, the lights may flash red if the sensor detects that a breathing rate of a user has increased above a threshold value and the user is then able to identify this visual cue and to slow their breathing.

[0089] More generally, the lights (or other output mechanisms of the mindfulness feedback device 100) may be used as part of a cue. A unique cue may be provided to a user prior to a meditation session, teaching a user to associate this cue with mindfulness, so that when the user receives the cue the user is primed to perform a meditation session. A cue may be provided before and / or after a meditation session. The cue may be different before and after a meditation session, and / or based on whether the meditation session is performed in a morning, afternoon, or evening. For example, lights may sparkle after an evening session, but may be muted, while lights after a morning session may be relatively bright. In examples, the cue may further comprise audio elements, which may also differ based on whether they are played before or after a meditation session, and based on the time of the meditation session. In examples, the length of the cue may be configurable based on a user input. For example, the cue may be 1 minute, 2 minutes, or 5 minutes long, depending on a user’s selection. On receiving a user input, the mindfulness feedback device 100 may change the lights displayed. For example, on receiving a swipe input along the input surface 104, radial lights positioned along the swipe path may light up. This allows a user to observe the progress of the swipe input. On receiving a tap input, at least one of the lights may light up to indicate that the tap input has been received.

[0090] In some embodiments, the mindfulness feedback device 100 comprises one or more proximity sensors, for example the device may comprise a passive infrared (PIR) sensor that is arranged to detects motion by measuring changes in infrared radiation within a field of view of the sensor. Additionally, or alternatively, the device may comprise a millimetre wave (mmWave) sensor that is arranged to detect presence and motion and also to measure distance and speed of an object. Such a sensor may also enable the detection of respiration and heart rate without contact as well as the detection of obstacles or gestures. The proximity sensor may be used to initiate or control a mindfulness session, e.g. by initiating a session based on a proximity of a user to the device and / or altering a parameter of the session based on a detected gesture.

[0091] The proximity sensor may comprise a user proximity sensor arranged to determine a proximity of a (e.g. human) user to the mindfulness feedback device 100. Equally, the proximity sensor may comprise a device sensor arranged to determine a proximity of a further computer device (e.g. a user’s phone) to the mindfulness feedback device 100.

[0092] In examples, the mindfulness feedback device 100 may comprise one or more additional lights as background lights. Unlike the radial lights 106, the one or more background lights may be approximately continuous around the device, thereby appearing softer. The one or more background lights may be adjustable to adjust the brightness and / or the spectrum of the light. The one or more background lights may be gradually brightened to soften a wake up experience preceding an alarm. The one or more background lights may also be used as lighting prior to a user going to sleep, as an alternative to a lamp.

[0093] While the above description has primarily considered the use of lights to provide feedback to a user, it should be appreciated that more generally the mindfulness feedback device 100 may comprise one or more output structures (e.g. lights, speakers, vibrating elements) that are arranged to provide cues and / or feedback to a user. In particular, the output structures may provide feedback to a user during a meditation or mindfulness session.

[0094] Referring to Figure 2b, there is shown a side view of the second embodiment of the mindfulness feedback device 100. As shown in this figure, this device comprises a plurality of speakers 112 and microphones 114.

[0095] The speakers 112 and the microphones 114 are distributed around the side of the mindfulness feedback device 100.

[0096] When the mindfulness feedback device 100 is in use during a meditation session, the speakers 112 and / or the microphones 114 can be switched on. The speakers allow a user to receive instructions in order to guide the meditation session, while the microphones allow input to be received from a user. For example, the microphones may detect inhalations and exhalations of a user, and may synchronise aspects of the meditation session to the breathing. The microphones may detect a voice of a user, allowing voice commands to be input to the device. In some embodiments, when the microphones 114 are switched on, the mindfulness feedback device provides an indication that the microphone is on. For example, a light of the device, such as the point light 108, may be switched on and / or the colour of this light may be changed. This allows a user to easily determine whether the device is receiving audio, allowing a user to preserve their privacy when desired by readily checking that the microphones are turned off.

[0097] In some embodiments, the speakers 112 are connected to an audio processing unit that is arranged to identify a keyword in a voice input or to identify a characteristic of a voice input (e.g. an emotion).

[0098] In some embodiments, the mindfulness feedback device 100 additionally comprises at least one haptic element. The at least one haptic element may be used as part of an alarm function, to allow a user to be woken without disturbing others nearby, and to allow the user to be woken more softly. Alternatively or additionally, the at least one haptic element may be used to support meditation techniques. For example, the haptic element may be used to support multi-sensory priming of a user. Alternatively or additionally, the haptic element may be used to provide confirmation that an input, such as a tap input, has been received.

[0099] The haptic element provides a sensory output mechanism that enhances a connection between the mind and the body of a user during meditation. The physicality of the object brings awareness of the body by holding it the hand, and by contacting it with key areas of the body. Typically, the haptic element is arranged to provide a plurality of vibration amplitudes, frequencies, and / or durations. For example, the haptic element may be arranged to operate in a plurality of different modes in order to provide a plurality of different mindfulness sessions.

[0100] In some embodiments, the mindfulness feedback device 100 comprises an accelerometer. The accelerometer is able to detect if the device is being moved. In examples, the accelerometer may detect whether a user is holding the device to their ear. If the device detects that the user is holding the device to their ear, the device may switch from a first audio setting to a second audio setting. This allows a user to receive quieter audio directly to their ear, allowing the user to hear the audio at a comfortable volume without disturbing others sharing a space. If the device detects that a user has moved the device away from their ear, the device may then switch back to the first audio setting, ensuring that a user is still able to hear audio output without a user needing to manually readjust volume settings. In some embodiments, the second audio setting may have a lower volume. For example, the second audio setting may comprise a whispered version of the audio, where this can enable the user to receive whispered instructions for a guided meditation session.

[0101] The first and the second audio settings may also be provided in embodiments without an accelerometer, where a user may be able to provide another input to switch between these settings.

[0102] The accelerometer may also be used to assist in a practice. For example, the accelerometer may detect movements of a user holding the device, which may allow instructions in a guided session to be synchronised to a user’s movements. For example, yoga instructions may be synchronised with a user’s movements. Other output modes of the device may also synchronise with a user’s movements via the accelerometer. For example, lights on the device may pulse in sync with movements of the device, improving a user’s focus on meditation activities such as the Sophrology “tratac” technique. This technique is based on the yogic trataka, and comprises focussing on a point. In the Sophrology tratac, the point is then moved towards the user. For example, the point of focus may be on a user’s thumb, and the user may then move the thumb towards their forehead. Allowing the device to monitor the motion as part of the tratac may allow improved audio, visual and / or haptic support, as well as improved instruction pace for the user as part of their meditation session.

[0103] In some embodiments, the mindfulness feedback device 100 additionally comprises a gyroscope to detect device orientation. For example, a device orientation may be used to interpret a user swipe input. If the device is oriented so that the swipe is around a lower portion of the device, the swipe may be determined to correspond to a “smile” input, and so be interpreted as a positive indication. If the device is oriented so that a swipe input is around an upper portion of the device, the swipe may be determined to correspond to a “frown” input, and so be interpreted as a negative indication. Alternatively or additionally, a position of the point light may be used to determine whether a user swipe input corresponds to a smile or a frown, and so whether the input should be considered to be positive or negative.

[0104] Similarly, the gyroscope may be arranged to detect a user input that is a movement of the device. For example, the gyroscope may identify that a user is picking up the device and may then infer that the user wishes to being a mindfulness session.

[0105] In some embodiments, the microphones may be additionally configurable to play music.

[0106] Typically, the aperture is 20mm in diameter and / or the device 100 is 90 mm in diameter and / or the plurality of microphones 114 and speakers 112 are distributed around a band 8 mm in height around the circumference of the device. But it will be appreciated that various dimensions are possible. For example, the device may be less than 200mm or less than 100mm in diameter. The microphones and speakers may be distributed around a band between 5-15mm in height around the circumference of the device. In some embodiments, the surface comprises a capacitive touch sensor array.

[0107] Typically, the mindfulness feedback device 100 is provided as a computer device and / or comprises a computer device. In various embodiments, the mindfulness feedback device 100 may comprise one or more of:

[0108] - A processor to enable the device to execute instructions and, e.g., to perform the methods described within this disclosure.

[0109] - A communications interface, such as a Bluetooth® Low Energy module or a wireless interface (e.g. to allow the device to communicate with a further computer device.

[0110] - A light sensor (e.g. to allow brightness of the radial and / or point lights to be calibrated based on ambient light conditions);

[0111] - A MicroSD card slot and / or embedded flash storage (this allows the device to store upcoming meditation session audio so that the audio can be provided even when the device is offline).

[0112] - A battery. Advantageously, this allows the device to be used without cables, which may be more convenient or reduce hazards.

[0113] - A port for receiving a charging cable (to allow the device to be used continuously without removal and replacement of a battery). A user interface (e.g. the input surface 104 and / or the lights 106, 108 and / or the speakers 112 and / or the microphones 114)

[0114] Referring to Figure 3, there is shown a method of operating a mindfulness feedback device, such as the devices shown in Figures 1a and 1 b. This method is typically performed by a processor of the mindfulness feedback device 100.

[0115] At a first step 310, an input is received. This may be an input made directly to the mindfulness feedback device 100, or an input made by a user on another device, such as a mobile phone, and sent to the mindfulness feedback device.

[0116] At a second step 320, a function on the mindfulness feedback device 100 is set or changed.

[0117] For example, the input may be a tap input received via the input surface 104 of the mindfulness feedback device 100. In response to the tap input, the device may change a function such as changing a power state of the microphones 114 and / or the speakers 112. This may be in order to start a listening session in which a user may communicate with the device, to end a listening session, to start a meditation session, to pause a meditation session, to end a meditation session, to switch off or snooze an alarm, or to switch a first guided meditation for a second guided meditation.

[0118] In some examples, the user is able to provide a flip input that flips, turns, or changes an orientation of the mindfulness feedback device 100. Such an input may be used to snooze an alarm of the mindfulness feedback device 100.

[0119] In another example, the input may be a swipe input received via the input surface 104 of the mindfulness feedback device 100. For example, a length of a user’s swipe along the touch- sensitive surface may be recorded by the device and converted into a value. A larger value may be indicative of positive feedback, such as a positive mood or enjoyment of a session, while a smaller value may be indicative of negative feedback. Alternatively or additionally, an orientation of a user’s swipe along the touch-sensitive surface may be used to provide feedback. For example, an arc curving away from the user, or away from a reference point, may be received as positive feedback, while an arc curving towards the user may be received as negative feedback. This feedback mechanism is intuitive because an arc curving away from the user resembles a smile, while an arc curving towards the user resembles a frown. A user’s swipe length may also be used to indicate a time. For example, a swipe through an arc corresponding to a quarter of the device may correspond to an indication of 15 minutes. A user’s swipe length may also be used to indicate a proportion. For example, a full 360 degree swipe may indicate a maximum value for an input. A user’s swipe direction may also be used to indicate a direction of change input. For example, a user swiping clockwise may indicate a desire to increase a value, such as a volume setting, while a user swiping anticlockwise may indicate a desire to decrease a value.

[0120] In a further example, the input may be an audio or voice input received via the microphones 114. The voice input may then be converted into text, e.g. using automated transcription software or a machine learning model. Text generated from voice input may then be used directly to control the device, such as by setting an alarm, changing a power state of the lights and / or microphones, changing a volume of output audio, and selecting a meditation session. T ext generated from voice input may also be input into a machine learning model to refine predictions for desired functions for the user. For example, the text may be anaylsed by a machine learning model to determine relevant information relating to a user’s present state. Such information may comprise an energy level of a user, a mood of a user, present sensations of a user, and information on an environment of a user. For example, the machine learning model may determine from the text that a user is tired and stressed, that the user feels numb, and that the user is worried about an upcoming job interview. In response to this, the machine learning model may update a profile of a user, so that upcoming meditation sessions suggested by the device promote grounding and stress reduction. Equally, a user may indicate that they are calm, and in response to this the device may update a profile of the user so that upcoming meditation sessions capitalise on the increased calm in order to deepen the user’s meditation skills.

[0121] In still further examples, the input may be received by another device, such as a mobile phone. The input may then be transmitted to the device via Bluetooth®, WiFi, or any other means. The device may then perform functions based on this input, such as: setting or adjusting an alarm time; selecting a meditation session; starting, stopping, or pausing a meditation session; switching a meditation session for another meditation session; and adjusting a user’s meditation preferences. In examples, the input may be voice input, and may be provided to one or more machine learning models in order to interpret the voice input and update suggested meditation sessions based on the input.

[0122] Referring to Figure 4, there is shown an exemplary arrangement of modules used to produce a session recommendation. The modules comprise:

[0123] - A user state module 412 that is arranged to determine a state of the user, e.g. using the input surface 104 and / or the microphones 114.

[0124] - A user mood profile module 414 that is arranged to determine a mood profile of the user based on historic data (e.g. a user’s log of previous moods).

[0125] - A user experience profile module 416 that is arranged to determine an experience of the user, e.g. based on a number of past mindfulness sessions completed by the user;

[0126] - A desired session length module 418 that is arranged to determine a desired session length, e.g. based on an input of a user or based on a machine learning model or an algorithm that determines a suitable session length based on past behaviour of the user.

[0127] - A current time module 422 that determines a current time.

[0128] It will be appreciated that any combination of one or more of these modules may be used and that additional modules may also be used.

[0129] Each of these modules feeds into a machine learning model 425, which machine learning model then outputs a session recommendation 430. The session recommendation may comprise one or more of: a type of session (e.g. a recommended type of mindfulness exercise that is to be performed by the user); a length of the session; an intensity of the session; one or more activities that should be included in the session; etc.

[0130] In use, a user provides an input - either explicitly via, e.g. the touch surface 104 or implicitly - one or more of the potential inputs to the machine learning model. The machine learning model then generates a session recommendation based on these inputs. Regarding an implicit input, the mindfulness feedback device 100 may be arranged to initiate a session recommendation based on one or more measurements made by a sensor of the mindfulness feedback device. For example, the sensor may detect the closing of a door, infer that a user has just returned home, and then recommend a session to that user even if that user has not explicitly asked for a session recommendation.

[0131] Equally, the mindfulness feedback device 100 may provide a trigger to the machine learning model 425 independent of any user action (e.g. based on a signal from an external computer device, or based on a time threshold being reached).

[0132] Typically, the machine learning model is implemented on a device that is separate to the mindfulness feedback device 100 so that the machine learning model can access more powerful hardware than is available on the mindfulness feedback device. Therefore, a user providing an input to the machine learning model 425 may comprise the user providing the input to the mindfulness feedback device and then the mindfulness feedback device transmitting this input to a separate device (e.g. a server) on which the machine learning model is implemented.

[0133] In some embodiments, the mindfulness feedback device 100 receives one or more of the potential inputs from a server. For example, the user may input a current state and a desired session length, and a current time, user mood profile, and a user experience profile may all be retrieved from a server (e.g. the server on which the machine learning model 425 is implemented). In general, the modules shown in Figure 4 may be implemented on any combination of devices.

[0134] The user’s current state may comprise: their emotional state, their energy levels, their physical sensations, and environmental factors such as external stressors. For example, the user may provide as input that they currently have low energy and are feeling emotionally volatile but grounded, and that they are entering a stressful period in their work or personal life.

[0135] The user’s mood profile may indicate a user’s historic mood tendencies. For example, the user’s mood profile may indicate that a user tends towards particular moods or energy levels, that a user responds to external stresses in a particular way, whether there are any correlations between different factors of a current state, and whether historically certain meditation techniques have been successful or unsuccessful in improving a user’s state.

[0136] In examples, a user’s mood profile may comprise historic input data. This allows the machine learning model to learn from all available data to generate further meditation session suggestions. Alternatively, the user’s mood profile may only comprise a summary of historic input data, to reduce the size of the dataset and so reduce a computational burden of storage. For example, the user’s mood profile may comprise only a summary of data above a threshold age, with more recent data being stored in full.

[0137] The user’s mood profile may also comprise patterns in mood data. For example, the user’s mood profile may indicate a cyclical variation in mood over a period of a month. The user’s mood profile may also comprise information on the effect of activities, such as exercise or meditation, on a user’s reported mood, and how this varies over time.

[0138] The user experience profile may comprise one or more of: a user’s experience with meditation in general, a user’s completed session history, and a user’s progress in learning each of a plurality of meditation techniques. For example, the user experience profile may indicate that a user is a beginner at meditation, and that they have made progress with techniques such as tratac, while less progress has been made in visualisation and breathwork. The user experience profile may also store sessions started by the user, sessions completed by the user, and user feedback on sessions they have undertaken.

[0139] The desired session length may indicate a number of minutes that a user would like to spend on a meditation session. Alternatively, the desired session length may provide a qualitative indicator of a desired session length, such as “short”, “medium”, or “long”. In further examples, the desired session length may provide a lower and upper bound of desired session length, such as “10-15 minutes”.

[0140] The current time may be an indication of the time in a user’s time zone. For example, the current time may indicate that it is 10 PM for a user. The current time may also comprise an indication of the date. This may be used in combination with the user mood profile. This allows a prediction of upcoming demands on an individual to be used to inform a session recommendation. For example, when the user has indicated a future stressful date, such as a job interview, the current time and date may be used in conjunction with this information to inform a session recommendation.

[0141] The machine learning model 425 takes these inputs that are generated by the various input modules and generates a session recommendation. The session recommendation is then output to a user. For example, the device may play the recommended session (following a confirmation provided by the user), or the device may store audio relating to the recommended session for later playback.

[0142] Typically, the machine learning model 425 comprises an artificial neural network. Equally, the machine learning model may comprise another type of model. In some embodiments, an algorithmic or conditional program is used in place of the machine learning model.

[0143] In some embodiments, the machine learning model 425 is arranged to receive different, or additional, inputs. For example, where a user has input their reported state via voice input, the machine learning model may additionally receive a detected emotional state from a voice processing module. This state may be detected via a further machine learning model.

[0144] In some embodiments, the machine learning model is arranged to receive inputs from a calendar. For example, the machine learning model may receive one or more of: a past and planned exercise schedule; a personal diary; a work diary; and a menstrual calendar. The machine learning model may also receive further inputs such as: a preferred guide voice for a meditation session; a preferred meditation style; suggestions from a meditation teacher of the user; a desired emotional state after the meditation session; a desired difficulty level of the meditation session; and a desired practice area.

[0145] Equally, one or more of the inputs may not be provided. For example, a new user may not have a user experience profile and so may only provide a reported state and a desired session length.

[0146] Referring to Figure 5, there is shown a flow diagram illustrating an example process of providing improved support to a user of the mindfulness feedback device 100. The method described by this flow diagram is typically performed by a processor of the mindfulness feedback device and / or a processor of a further device. In a first step 502, the user provides a prompt. This may be voice-based or text-based, and may be received by the mindfulness feedback device 100, or by another device, such as a mobile phone.

[0147] In a second step 504, this prompt is input to a conversational Al. This processes the prompt to determine underlying concepts, and outputs a response.

[0148] In a third step 506, it is evaluated whether the user has completed the conversation. This may be based on the user prompt provided in the first step 502 and / or on further input provided to a device, such as a touch input on the mindfulness feedback device indicating an end to the conversation or a further user prompt.

[0149] If the user has not completed the conversation, the system waits to receive a further user prompt, and then inputs this into the conversational Al at step 504. This cycle repeats until the user has completed the conversation.

[0150] At the end of the conversation, data obtained by the Al may be saved to the user’s profile at step 508. For example, key emotions that arose during the conversation such as anger and fear may be recorded as areas on which to focus future meditation sessions. Therefore, this method of performing conversations provides a pleasant and efficient mechanism for the mindfulness feedback device 100 to obtain emotion and mood data for the user.

[0151] Optionally, at step 510, a meditation session is suggested to a user and / or is started. For example, if the user has discussed feelings of anger, an anger management session may be suggested to the user. Similarly, if the user has discussed feelings of insecurity, a suggested meditation session may focus on positive affirmations.

[0152] In some embodiments, the conversational Al is arranged to determine whether to suggest the user book a call with a trained specialist. For example, if the user asks a question about a meditation practice that is not easily answerable by the Al, the Al may suggest the user books a call with a trained Sophrologist or yogic master. Similarly, if the user expresses deep feelings of grief or trauma, the Al may suggest that the user books a call with a professional therapist.

[0153] Referring to Figure 6, there is described a method 600 of updating a parameter for a mindfulness session based on a user input. This method is typically performed by a processor of the mindfulness feedback device 100.

[0154] In a first step 602, the mindfulness feedback device 100 provides a mindfulness session (e.g. a meditation session or a sophrology session). The mindfulness session is typically provided based on the session recommendation 430 generated by the machine learning model 425. For example, the duration, component activities, and intensity of the session may be suggested by the session recommendation. The mindfulness session is typically provided based on a parameter, e.g. a parameter or weighting of the machine learning model and / or a parameter such as a selected (or determined) intensity or length.

[0155] In some embodiments, the mindfulness session is provided (e.g. a parameter for the mindfulness session is determined) based on one or more of: a geolocation of a user or a mindfulness feedback device (the mindfulness feedback device may comprise a location sensor and / or may be arranged to receive a location from a further computer device of a user so as to determine a location of the mindfulness feedback device); a time of day; a level of ambient light (e.g. the mindfulness feedback device may comprise an ambient light sensor to determine a level of ambient light); an ambient noise (e.g. the mindfulness feedback device may comprise an ambient light sensor to determine a level of ambient light); and a room that is a location of a user (this room may be identified based on a user input).

[0156] The mindfulness session may also be provided based on a goal of a user, which goal may be input or may be determined by the device (e.g. using a machine learning model). The goal of a user may be determined based on feedback provided to the feedback device (e.g. over a plurality of sessions).

[0157] The mindfulness session may also be provided based on a capability of a user, e.g. whether a user is able to situ for long periods and / or whether a user is able to visualise. Typically, the abilities of a user are determined based on a user input and / or are determined based on feedback provided to the feedback device.

[0158] Typically, the first step 602 involves the mindfulness feedback device 100 providing an output to a user, such as a visual, audio, or haptic output. This output can guide a user through a mindfulness session, e.g. to indicate a breathing routine to the user.

[0159] The provision of the mindfulness session may be based on a user input (e.g. a user requesting a session or a user setting a time for a session). Equally, the provision of the mindfulness session may be based on a sensor measurement, e.g. detecting a time relating to a sunrise or a sunset and / or detecting that a user has entered a room or has entered a bed.

[0160] In this regard, mindfulness sessions can be particularly beneficial for users that are transitioning between their daily activities and sleep and so the provision of the mindfulness session may be based on a determination that a user is preparing to go to sleep (e.g. either because they have provided an explicit input indicating this is the case or because a sensor of the mindfulness feedback device 100 has identified a condition that relates to a user going to sleep). Similarly, mindfulness sessions can be beneficial for users that are waking up and so the mindfulness feedback device 100 may be arranged to identify that a user is waking up (e.g. based on a movement sensor or the microphones 114) and to provide a session based on this determination.

[0161] In a second step 604, the mindfulness feedback device receives a user input providing feedback on the mindfulness session. Equally, another device such as a mobile phone of a user, may receive this input.

[0162] The user feedback may, for example, indicate whether or not a user has enjoyed a mindfulness session or has completed a mindfulness session. Equally, the input may provide more detailed feedback, such as a user indicating a session was too long or too intense.

[0163] In some embodiments, providing the feedback involves a journaling process. In particular, following the completion of a session, the device may provide a prompt to ask for feedback and then the user may provide (e.g. spoken) feedback to indicate their thoughts following the session.

[0164] This feedback can be used to update future sessions. This feedback can also be used to analyse, track, and output changes in the user’s experiences and emotions over a plurality of sessions. In this regard, a user may be able to request an update periodically in order to identify how their feedback has changed over a period of time. In this way, the mindfulness feedback device can generate and present a journey of a user’s emotional state over a period of use.

[0165] In some embodiments, the mindfulness feedback device 100 (or a further computer device) is arranged to analyse one or more journal entries in order to identify an emotional state of the user. In some embodiments, the mindfulness feedback device 100 (or a further computer device) is arranged to update a parameter for a (e.g. future) mindfulness session based on an analysis of one or more journal entries. For example, if the journal entries indicate that a user is worn out by current session parameters, the device may decrease a duration of a previous session.

[0166] Analysing the journal entry may comprise analysing the journal entry using an artificial intelligence (Al) model.

[0167] Typically, the second step 604 involves receiving an input on the mindfulness feedback device 100, e.g. on the input surface 104 of the device. By providing a mindfulness feedback device that is able to both provide a mindfulness output and also receive a feedback input, a single device can be provided to a user so that a user is not removed from the session by providing feedback.

[0168] Furthermore, the mindfulness feedback device 100 enables a user to provide feedback without the need to interact with a mobile phone or a laptop, which device is likely to wake the user and to reduce their relaxation.

[0169] Providing the feedback may involve the user performing a gesture on the input surface 104, such as inputting a smile or a frown or by drawing a segment of a circle around the input surface in order to provide a percentage rating for a session. These methods of input provide simple and pleasant methods of providing user feedback.

[0170] In this regard, a user may be able to provide feedback during a session or after a session. This feedback may result in an immediate change to the session or may be used to alter a recommendation for a future session.

[0171] In a third step 606, the mindfulness feedback device 100 identifies a parameter of the mindfulness session and updates this parameter based on the user input. For example, the parameter may be an intensity or length of the session. In some embodiments, the parameter comprises a parameter of the machine learning model 425, where the machine learning model may be updated, e.g. re-trained, based on the feedback provided by a user so that the machine learning model can provide more suitable session recommendations to the user.

[0172] Typically, the mindfulness feedback device 100 is arranged to update the parameter following the conclusion of the mindfulness session. Therefore, the user is able to complete the session while also giving feedback on the session. In some embodiments, the mindfulness feedback device 100 is arranged to update the parameter either during or after the session in dependence on the feedback. For example, feedback that a session is too loud may result in an immediate change in output volume whereas feedback that a session is not intense enough (or has too long of an initial phase) may result in an increase in the intensity of a future session.

[0173] In optional fourth step 608 that is typically provided substantially after (e.g. at least an hour, at least a day, and / or at least a week after) the third step 606, the mindfulness feedback device 100 provides a further mindfulness session based on the updated parameter. For example, the mindfulness feedback device 100 may obtain an updated session recommendation 430 from the machine learning model 425 (where this may comprise the mindfulness feedback device communicating with a further computer device on which the machine learning model is implemented).

[0174] This method enables the mindfulness feedback device 100 to continuously update the session recommendations that are provided to a user in response to user feedback.

[0175] The mindfulness feedback device 100 provides an efficient and user-friendly mechanism by which a user can both receive a mindfulness session and also provide feedback on this mindfulness session. By providing a single device with these dual-functions, a more efficient and pleasant experience is provided as compared to a method where a user must either manually define a session or must exit the session to provide feedback on the session.

[0176] Referring to Figure 7, there is shown an exemplary user interface 700 for a mobile application, where this interface can be used to control and / or interact with the mindfulness feedback device 100.

[0177] The user interface 700 comprises training information 702, a voice input button 706, a session start button 708, and an alarm button 712.

[0178] The training information 702 typically comprises information about a planned meditation session or series of sessions, such as techniques that will be taught or improved during the session or during a series of upcoming sessions. The training information may comprise an interactive element 704, such as clickable text, allowing a user to view further information such as the theory of new techniques, further details on new techniques, scientific data on the effect of the new techniques, a schedule of introduction of different concepts in upcoming meditation sessions, and links to further readings that may accompany the meditation sessions.

[0179] The voice input button 706 may be pressed to allow a user to provide voice input. The voice input may be received by microphones of the mobile phone, and / or by an external microphone. The voice input may then be processed to determine desired inputs. For example, the voice input may be compared to a list of known feelings words describing physical sensations or emotional states. In examples, the voice input may be provided to a neural network in order to convert the audio into text. This text may be used directly or may be input into a further neural network in order to determine feelings expressed in the text.

[0180] The session start button 708 may be pressed to start a meditation session. In examples, selection of the session start button may immediately start a predetermined meditation session. Alternatively, selection of the session start button may prompt an algorithm to determine a suitable meditation session, for example a machine learning model as shown in Figure 4. In still further examples, selection of the session start button may generate a prompt for choosing meditation session characteristics, such as length of a session, before a suitable session is then determined by an algorithm and playback of guiding audio begins. In examples, when a session is started, the mobile application sets the mobile phone to a “Do Not Disturb” or “Silent” mode to remove distractions. The alarm button 712 may be pressed to allow a user to change an alarm time set on the mindfulness feedback device 100. The user interface 700 may display a currently set alarm time as part of the display.

[0181] In some embodiments, instead or in addition to voice input button 706, alternative feeling input modes may be provided. For example, a text input box, or a button that when pressed generates a text input box, may be provided. Alternatively or additionally, a plurality of feeling options buttons, or one or more buttons that when pressed generates a plurality of feeling option buttons, may be provided. For example, a “sensations” button may be pressable to generate option buttons such as a “tingling” button, a “warm” button, and a “light-headed” button, while an “emotions” button may be pressable to generate option buttons such as “not in control”, “angry”, “upset”, “calm”, and “happy”. In examples, there may be a plurality of layers of feeling options buttons, each going to a finer layer of detail. For example, selection of a “feelings” button may generate as a first sub-layer buttons such as “emotions” and “sensations”. Selection of the “emotions” button may then generate a further sub-layer of different emotion options. In this way, user input of a plurality of different feelings may be facilitated, and a user may be prompted to provide detailed observations of themselves, which may then be used to better tailor meditation sessions to a user’s needs.

[0182] Referring to Figure 8a, there is shown another exemplary user interface 800 for a mobile application, where this interface can also be used to control and / or interact with the mindfulness feedback device 100.

[0183] The user interface 800 comprises journey text 812, plan text 814, future text 816, and page indicator buttons 708.

[0184] The journey text 812 comprises a summary of the meditation practice to be taught to the user. For example, the meditation practice may be the Sophrology “tratac” technique, based on the yogic trataka. In another example, the meditation practice may be Clearing Breath techniques.

[0185] The plan text 814 comprises a summary of the short-term goals of the upcoming sessions. For example, over the upcoming week, a user may be provided with guided meditation sessions introducing a new concept, such as visualisation, alongside existing techniques.

[0186] The future text 816 comprises a summary of longer-term goals of the meditation pathway. For example, these may be to improve energy or to improve a user’s control of negative feelings.

[0187] The page indicator buttons 808 indicate a current page among a plurality of page options. This may be done by visually marking one of the page indicator buttons by any method known in the art, wherein the marked page indicator button indicates a current page, and the remaining page indicator buttons indicate other available pages. In examples, a user may be able to swipe between interfaces, such as between user interface 800 and user interfaces 700 or 850.

[0188] Advantageously, providing a summary of the journey being undertaken allows a user to understand the theoretical context underlying the meditation sessions, and thereby to appreciate the purpose of the methods that are taught by the meditation sessions. Providing a short-term summary allows a user to anticipate how the sessions will develop over the near term, and so to prepare themselves mentally for the upcoming sessions and maintain their motivation to continue with sessions. The future text further provides motivation to continue with sessions by reminding a user of their end goal. This may be influenced by a user’s unique situation, needs, and preferences.

[0189] Referring to Figure 8b, there is shown a third example user interface 850 for a mobile application, where this interface can also be used to control and / or interact with the mindfulness feedback device 100.

[0190] The user interface 850 comprises mood trend text 802, sensation trend text 804, phenodescription trend text 806, and page indicator buttons 808.

[0191] Mood trend text 802 describes a user’s mood trends as determined using the data receiving by the device and / or the mobile application. For example, the text may state trends such as “Over the past month, you have been logging more positive moods”, “Since you started midday sessions, you have been logging more positive moods”, “Since your promotion, you have felt more excited”, “Since you started running once a week, you have felt calmer”, or “Over the last week, you have begun feeling more volatile”. The text may be generated based on mood data received by the device and / or the mobile application in combination with one or more of: a user’s session history, a user’s sleep history, a user’s personal calendar, a user’s work calendar, and a user’s menstrual tracking calendar.

[0192] Sensation trend text 804 describes a user’s physical sensation trends as determined using the data receiving by the device and / or the mobile application. For example, the sensation trend text make state trends such as “Over the past month, you have begun reporting tingling sensations”, or “Since you started morning meditation sessions, you have reported feeling grounded”. The text may be generated based on sensation data received by the device and / or the mobile application in combination with any of the additional data sources described above.

[0193] In some embodiments, the user interface additionally allows a userto access a meditation session library. This may comprise meditation sessions from different pathways to the current pathway selected for the user, for example pathways teaching different techniques, The meditation session library may also comprise meditation sessions or courses of meditation sessions for dealing with different situations, such as to help a user fall asleep or improve sleep patterns, to help a user deal with grief, and to help a user deal with anger. The user may also be able to search the library for a particular desired function or session type via text and / or audio input. The meditation session library may be accessible by moving to a different interface page and / or by pressing a library button. In examples, the user may also be able to access historic meditation sessions, or saved meditation sessions, by navigating through the library and / or a page of the user interface.

[0194] In some embodiments, the user interface 700, 800 and / or 850 can be altered when it is determined that the user should be preparing to sleep or sleeping. For example, the user interface may appear in a dark mode or a mode with reduced blue light to avoid waking a user, and the user interface may be simplified with fewer functions, to discourage a user from spending additional time on their phone.

[0195] In some embodiments, the user interface 700, 800 and / or 850 can be opened by a user by tapping the mobile phone on the mindfulness feedback device 100. Advantageously, this allows a userto control the device using their mobile phone in a manner that feels intuitive. In examples, when a user opens the user interface in this way, or when it is determined that the mobile phone is in close proximity to the device, audio may be played via the device speakers rather than via the phone speakers. This allows a user to take advantage of the more complex interface of a phone in combination with a better quality speaker system. In examples, when a meditation session is started in this way, lights on the device may be controlled as they would for a session on the device. In examples, the user interface may additionally display a battery level of the device. Advantageously, this allows a user to determine whether the device has sufficient battery for a session, and so to determine whether to charge the device. In examples, the user interface may display a volume and / or comprise volume controls for the device.

[0196] In general, the mindfulness feedback device 100 may be arranged to determine the proximity of a further computer device, such as a mobile phone and to cause the opening of an interface on that further device using a proximity sensor, such as a near-field communication (NFC) sensor or a Bluetooth® sensor.

[0197] The mindfulness feedback device 100may also be arranged to transfer communicate information to a proximate device, or to receive information from a proximate device. For example, the mindfulness feedback device 100 may be arranged to communicate with a further device via a NFC channel.

[0198] In some embodiments, the mindfulness feedback device 100 is arranged to receive connectivity credentials, such as Wi-Fi credentials, over a NFC channel. More generally, the mindfulness feedback device 100 may be arranged to receive connectivity credentials from a further computer device. This simplifies the setup of the mindfulness feedback device 100 by enabling the mindfulness feedback device 100 to be easily connected to a local area network using credentials (e.g. a password) received from a further computer device, such as the mobile phone of a user.

[0199] In some embodiments, the user interface 700, 800 and / or 850 displays a length of time for which a user has been consistently performing meditation sessions. For example, the user interface may display an indication that the user has performed at least one meditation session each day for a certain number of days, weeks, months or years. This may provide positive reinforcement and encourage a user to maintain the habit.

[0200] In some embodiments, the user interface may additionally provide an option for a user to contact a trained expert. For example, a user may wish to speak to a trained Sophrologist to understand their experiences, or to speak to a yogic master in order to gain personal advice on how to improve a meditation practice.

[0201] Referring to Figure 9, there is described a method of providing one or more content items to a mindfulness feedback device. This method is performed by a computer device. Typically, this method is performed by a server. Equally, this method may be performed by the mindfulness device itself.

[0202] In a first step 902, the computer device identifies a parameter of a mindfulness session. This may comprise a server receiving the parameter (or a change in a default parameter, or feedback) from a mindfulness feedback device.

[0203] In a second step 904, the computer device determines one or more content items based on the parameter and in a third step 906, the computer device provides the one or more content items to a mindfulness feedback device. This may comprise a server sending the items to a separate device or this may comprise a mindfulness feedback device performing each of these method steps and sending the content items between modules of the device.

[0204] Typically, the content items comprise audio clips, where a mindfulness session can be formed by splicing together a plurality of audio clips. The audio clips that are selected for a given session may be selected based on that session.

[0205] For example, the audio clips may be selected based on a required intensity or duration of a session (with this intensity / duration being signalled by the parameter.

[0206] Typically, the mindfulness feedback device is arranged to store content items (or a spliced- together audio file) for one or more sessions on a local memory of the mindfulness feedback device. The device may obtain updated content items from a separate server periodically.

[0207] For example, an initial set of audio files may be provided to a user when they first obtain the mindfulness feedback device. This user can then listen to these files during mindfulness sessions over a period of time and provide feedback on these sessions. This feedback leads to the updating of one or more session parameters and a second set of clips can then be generated based on these session parameters in order to provide personalised sessions to a user.

[0208] Therefore, the device may provide an initial onboarding period (where the sessions are not personalised) followed by a personalised period.

[0209] The method of providing a mindfulness session that has been described herein may comprise using the parameter and / or the updated parameter to determine one or more content items for the mindfulness session based on the parameter and / or the updated parameter. The method may further comprise determining an audio file based on the content items, the audio file providing the mindfulness session.

[0210] The generation of the set of audio files may occur on the device itself. Typically, this process occurs on a separate server that is able to transfer the content items or the audio file to the mindfulness feedback device.

[0211] In some embodiments, either the device or the server is arranged to store a database of content items. For example, each content item may comprise a sentence, or a series of sentences. Generating an audio file for a mindfulness session may then involve combining a plurality of content items in order to form an audio file of a desired length and character. One or more content items, or sets of content items, may be associated with a parameter. For example, each content item may be associated with an intensity value so that a parameter that indicates a desired intensity can be used to select appropriate content items.

[0212] Determining the content items and / or combining the content items may involve use of a machine learning (ML) or artificial intelligence (Al) model.

[0213] Typically, the device is able to receive a new set of audio files periodically. The device may further be arranged to request the (generation of, or transmission of) audio files based on a trigger. For example, the trigger may comprise a user request or a change in a parameter beyond a threshold value. For example, if a user indicates that short sessions are required, this may result in a next batch of audio files being shorter than a current batch. However, if a user indicates that much shorter sessions are required (e.g. half the length of current sessions), this may result in the immediate generation and transmission of a new set of audio files.

[0214] Typically, the audio files are generated in advance of a session, e.g. to enable a batch of audio files to be stored on the device for a number of sessions. Equally, the audio files may be generated on-the-fly so as to be generated based on a request for a session being received or so as to be generated based on a scheduled session approaching. This enables the device to update sessions more rapidly so that feedback from a first session can cause changes for the next session.

[0215] Alternatives and modifications

[0216] It will be understood that the present invention has been described above purely by way of example, and modifications of detail can be made within the scope of the invention.

[0217] While the detailed description has primarily considered embodiments in which the device comprises an aperture, in other embodiments the device comprises no aperture. While such embodiments do not allow the user to grip the device through its centre using the aperture, the device may still be sized so that it may be easily gripped. In some such examples, a central recess may be provided. This may allow a user a similar grip on the device as that afforded by a central aperture. In some examples, the device may comprise a raised portion for grip instead of or in addition to the central recess or aperture.

[0218] While in the examples above, the device comprises a central aperture, in other examples an aperture may be provided but may not be central, and / or a recess or raised grip may be provided off-centre.

[0219] While in some embodiments, the meditation sessions guide a Sophrology-based practice, in other embodiments the meditation sessions may follow other practices, such as Buddhist meditation practices. In further embodiments, the sessions may follow a more active mindfulness practice such as a guided yoga routine.

[0220] Features described in relation to one embodiment may also apply to other embodiments. For example, features described in relation to the device of Figures 1 a and 1 b may similarly be applied to the device of Figures 2a and 2b, and vice versa, and the method and user interfaces may be used with a device with any of the features of Figures 1a, 1 b, 2a, or 2b.

[0221] Reference numerals appearing in the claims are by way of illustration only and shall have no limiting effect on the scope of the claims.

Claims

Claims1. A mindfulness feedback device arranged to provide a mindfulness session, the device comprising: an output means for providing a first mindfulness session based on a parameter; an input means for receiving feedback relating to the first mindfulness session; and means for updating the parameter so as to enable a second, different, mindfulness session to be provided following the provision of the first mindfulness session.

2. The device of any preceding, wherein the input means comprises a touch-sensitive surface.

3. The device of claim 2, wherein the device comprises a central recess or aperture, and wherein the input means comprises an annular touch-sensitive surface that encircles the recess or aperture.

4. The device of any preceding claim, wherein the device comprises a communication interface, the communication interface being arranged to: receive the parameter from a further computer device; and / or transmit the feedback to a further communication device; and / or receive the updated parameter from a further computer device.

5. The device of any preceding claim, wherein updating the parameter comprises updating the parameter using a machine learning model, preferably a machine learning model implemented on a further computer device.

6. The device of any preceding claim, wherein the parameter is associated with one or more of: a length of a session; an intensity of a session; and one or more activities included in a session.

7. The device of any preceding claim, wherein each mindfulness session is associated with an audio file.

8. The device of claim 7, comprising means for receiving one or more audio files for the first mindfulness parameter and the second mindfulness session, the audio files for the second mindfulness session being based on the updated parameter.

9. The device of any preceding claim, wherein the parameter is determined based on one or more of: a geolocation of the mindfulness feedback device; a time of day; a level of ambient light; a level of ambient noise; and a room that is a location of a user.

10. The device of any preceding claim, wherein the parameter is determined based on one or more of: a goal of a user; and an ability of a user.11 . The device of any preceding claim, wherein the input means is arranged to receive feedback after completion of the first mindfulness session.

12. The device of any preceding claim, wherein the input means is arranged to receive feedback during the first mindfulness session; and wherein the means for updating the parameter is arranged to update the parameter after the first mindfulness session.

13. The device of any preceding claim, being arranged to provide the first mindfulness session based on one or more of: a current mood of a user; a current energy level of a user; a rating of a previous meditation session provided to a user; and a time available for a meditation session.

14. The device of any preceding claim, wherein the input means comprises a sensor, preferably a heart rate sensor, a breath sensor, a camera, and / or a microphone.

15. The device of any preceding claim, being arranged to operate in each of a first audio setting and a second audio setting, wherein the first and second audio settings are associated with different volumes, preferably wherein the device is arranged to switch between the first and second audio settings based on a detected movement of the device.

16. The device of claim 15, being arranged to switch between the first and second audio settings based on a detection that the device is being moved towards and / or away from an ear of a user.

17. The device of any preceding claim, being arranged to initiate the first mindfulness session in dependence on a time trigger.

18. The device of any preceding claim, being arranged to initiate the first mindfulness session in dependence on a detection that a user is going to sleep.

19. The device of any preceding claim, being arranged to initiate the first mindfulness session in dependence on a detection that a user is waking up.

20. The device of any preceding claim, wherein the device has reflective symmetry about a mirror plane containing the circumference of the device.21 .The device of any preceding claim, comprising a proximity sensor for detecting that a further computer device has been moved near to the mindfulness feedback device, preferably wherein the mindfulness feedback device comprises a communication interface for interacting with the further computer device so as to receive the feedback and / or to change a setting of the mindfulness feedback device.22.A method of operating the device of any preceding claim, the method comprising: providing the first mindfulness session; receiving an input from a user via the input means, the input comprising the feedback; and determining the updated parameter based on the feedback.

23. The method of claim 22, wherein the input comprises a swipe input provided via a touch- sensitive surface of the device.

24. The method of claim 22 or 23, wherein the input comprises a voice input provided to a speaker of the device.

25. The method of claim any of claims 22 to 24, wherein the input comprises a signal received from a client device of the user, preferably a mobile phone of the user, and wherein the method comprises: determining that the client device has been brought near to the mindfulness feedback device; displaying, on the client device, a series of input options; receiving, by the client device, a user selection of an option from the input options; and transmitting a signal representing the option to the mindfulness feedback device.

26. A mobile application for use with the device of any of claims 1 to 21 , the application configured to: receive, from a user, an input; provide the input and a user profile to a machine learning model; and receive, as an output of the machine learning model, a recommended meditation session.

27. A system comprising: the device of any of claims 1 to 21 ; and a further computer device comprising a machine learning model for determining the updated parameter.

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