Dynamic display method of voice scene interaction based on near field communication, home appliance interaction system

Abstract

The application particularly relates to a dynamic display method of voice scene interaction based on near field communication and a household appliance interaction system. The dynamic display method of voice scene interaction based on near field communication comprises the following steps: obtaining the number N of existing voice scene interactions in a unit time period t; when the number N is 1, the voice scene is the display scene of the near field communication label; when the number N is greater than 1, the maximum dynamic display value Y in the unit time period t is obtained, and the voice scene corresponding to the maximum dynamic display value Y is set as the display scene of the near field communication label; when the number N is 0, the number M of continued voice scene interactions in the unit time period t is obtained; wherein the maximum dynamic display value Y is determined according to the interaction time sequence, the interaction times and the interaction time length of the voice scene in the corresponding time period. The voice scene is displayed by using the screen of the intelligent device, and the application has the advantages of better man-machine nature, rationality and realizability.

Description

Technical Field

[0001] This invention relates to the field of smart home appliances, and in particular to a dynamic display method and home appliance interaction system based on near-field communication for voice scene interaction. Background Technology

[0002] As people's living standards continue to improve, refrigerators with intelligent voice modules are increasingly appearing in homes, greatly enhancing the convenience of using them. Users can simply wake the refrigerator to trigger corresponding scene commands, controlling it without physical actions, thus freeing up their hands. However, while voice-activated refrigerators make life more convenient, relying solely on hearing and memory to remember voice responses is impractical when querying or operating certain scenarios (such as recipes, food management, weather, etc.), especially with screenless voice-activated refrigerators. For example, if someone needs to cook a dish, simply following the voice prompts on the refrigerator might require multiple repetitions to barely complete the task. Furthermore, while NFC functionality allows users to display desired scenarios through smart devices, how to effectively display the user's needs when multiple scenarios occur consecutively or simultaneously remains a problem that urgently needs to be solved.

[0003] Current voice scene display methods mostly employ a fixed-scene approach, fixing the scene of the last user voice interaction and writing the necessary links for that scene into a designated NFC tag. While this method can always preserve the user's last interaction scene, when multiple scenes occur consecutively or in parallel, such as simultaneously playing a recipe and music, the music may continue playing after the recipe presentation is complete, due to the shorter playback time of the recipe compared to the longer music playback. If only the recipe scene link is recorded and not the music scene link, the music details page will not be displayed when the user wants to view it, significantly reducing user satisfaction. Therefore, it is necessary to research a dynamic display method and home appliance interaction system based on near-field communication for voice scene interaction to solve the above problems. Summary of the Invention

[0004] The present invention aims to provide a dynamic display method for voice scene interaction based on near-field communication.

[0005] To achieve the above objectives, one embodiment of the present invention provides a dynamic display method for voice scene interaction based on near-field communication, comprising the following steps:

[0006] Get the number N of existing voice scene interactions within a unit time period t;

[0007] When the quantity N=1, this voice scenario is the display scenario for near-field communication tags;

[0008] When the quantity N>1, obtain the maximum dynamic display value Y within a unit time period t, and set the voice scene corresponding to the maximum dynamic display value Y as the display scene of the near field communication tag;

[0009] When the quantity N=0, obtain the number M of voice scene interactions within a unit time period t.

[0010] When the quantity M=1, the continuous voice scene within this unit time period t is the display scene of the near-field communication tag;

[0011] When the quantity M>1, obtain the last surviving voice scene of the last interaction within the previous unit time period t-1, and set the surviving voice scene of the last interaction as the display scene of the near field communication tag.

[0012] When the quantity M=0, obtain the nearest unit time period tx before the unit time period t where there was a voice scene interaction;

[0013] When the most recent unit time period tx is obtained, the maximum dynamic display value Y within the most recent unit time period tx is obtained, and the voice scene corresponding to the maximum dynamic display value Y is set as the display scene of the near field communication tag.

[0014] The aforementioned maximum dynamic display value Y is determined based on the order of interaction time, number of interactions, and duration of interaction in the voice scene within the corresponding time period.

[0015] As a further improvement of one embodiment of the present invention, within a unit time period t, the maximum dynamic display value Y corresponding to the newer voice scene with the set interaction time is larger, the maximum dynamic display value Y corresponding to the more times the interaction is set is larger, and the maximum dynamic display value Y corresponding to the longer the set interaction duration is larger.

[0016] As a further improvement of one embodiment of the present invention, within a unit time period t, the more recent the interaction voice scene is set, the higher the ranking of the voice scene is set, and the earlier the interaction voice scene is set, the lower the ranking of the voice scene is set.

[0017] If there are m repeated voice scene interactions out of n voice scene interactions within a unit time period t, then the number of non-repeating scene interactions within the unit time period t is obtained as nm.

[0018] Obtain the scene order o of each individual scene that undergoes nm non-repeating interactions within a unit time period t, and combine the scene orders o to generate a scene order set O as O = {o1, o2, ..., o}. n-m-1 o n-m}, where n∈N +And o1 = nm, o2 = nm, ..., o n-m = 1.

[0019] As a further improvement of one embodiment of the present invention, the total number of interactions f in each single scene with non-repeating interactions within a unit time period t is obtained.

[0020] When the total number of interactions f for each individual scene is obtained, the set F of single-scene interaction counts generated by combining the total number of interactions f for each individual scene is obtained, F={f1}. i f2 j , ..., f n-m-1 k f n-m l}, where i,j,k,l are the number of interactions in a single scene with non-repeating interactions in a unit time period t, and i,j,k,l∈N.

[0021] As a further improvement of one embodiment of the present invention, the interaction duration d of each single scene with non-repeating interaction within a unit time period t is obtained.

[0022] When obtaining the interaction duration d of each single scene with non-repeating interactions within a unit time period t, obtain the average interaction duration u and the variance σ of the interaction duration d of each single scene.

[0023] When obtaining the average interaction duration u and the variance σ of the interaction duration, the interaction duration d of each individual scene is normalized to obtain the normalized interaction duration d of each individual scene. norm , where d norm =(du) / σ;

[0024] After obtaining the normalized interaction duration d for each individual scenario norm At that time, the normalized interaction duration d will be used. norm Combine to generate a normalized set of interaction durations D norm D norm ={d norm1 d norm2 , ..., d norm,n-m-1 d norm,n-m}

[0025] As a further improvement of one embodiment of the present invention, the number of preceding decisions p for each single scene in the previous unit time period t-1 without repeated interaction is obtained.

[0026] When the number of preceding decisions p in a single scenario is obtained, the number of preceding decisions p in a single scenario is combined to generate a set of interaction times P in a single scenario as P = {p1, p2, ..., p}. n-m-1 p n-m}

[0027] As a further improvement of one embodiment of the present invention, the weight vector W of each individual scene with non-repeating interaction in the previous unit time period t-1 is obtained. T Among them, W T ={α, β, λ, η}, α= o i / Σo i , β = f i / Σf i , λ= d normi / Σd normi η=p i / Σp i , i∈(1,nm);

[0028] After obtaining the weight vector W T At that time, calculate the maximum dynamic display value Y, where Y = MAX({o i f i d normi p i} W T , i∈(1,nm).

[0029] As a further improvement of one embodiment of the present invention, when the quantity M=0, the most recent unit time period tx and the second most recent unit time period ty that existed before the unit time period t are obtained;

[0030] When the most recent unit time period tx and the second most recent unit time period ty are obtained, the maximum dynamic display value Y corresponding to these two time periods is obtained respectively. t-x Y t-y ;

[0031] To obtain the maximum dynamic display value Y t-x Y t-y At that time, calculate the maximum dynamic display value Y, where Y = (Y t-x Y t-y )(θ,ψ), where, (Y t-x Y t-y Both (θ, ψ) are set as vectors, where θ is the weighted dynamic display value of the most recent unit time period tx, and ψ is the weighted dynamic display value of the second most recent unit time period ty, and θ > ψ;

[0032] When the maximum dynamic display value Y is obtained, the voice scenario corresponding to the maximum dynamic display value Y is the display scenario of the near-field communication tag.

[0033] As a further improvement of one embodiment of the present invention, θ is 0.6 and ψ is 0.4.

[0034] To address the aforementioned technical issues, a home appliance interaction system that implements the above method is also provided below.

[0035] A home appliance interaction system includes: a smart voice-controlled home appliance, a cloud server, a decision center, a near-field communication tag, and a smart device with video display; wherein the smart device is used to identify the near-field communication tag, and the decision center is configured to execute a dynamic display method for voice scene interaction based on near-field communication as described above.

[0036] Compared with existing technologies, the beneficial effects of this invention are as follows: The dynamic display method and home appliance interaction system based on near-field communication provided by this invention, starting from user interaction data, dynamically presents the user's voice interaction scenario from multiple dimensions. This is more reasonable than simply considering the timing of interactions and fundamentally solves the problem of the singularity of near-field communication tag display. Near-field communication technology not only saves costs but also allows voice scenarios to be displayed on the screen of smart devices, making up for the shortcoming that voice scenarios cannot be displayed intuitively. It has the advantages of better human-computer interaction, rationality, and feasibility. Attached Figure Description

[0037] Figure 1 This is a flowchart of the dynamic display method for voice scene interaction based on near-field communication according to the present invention;

[0038] Figure 2 This is an architecture diagram of the home appliance interaction system of the present invention. Detailed Implementation

[0039] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby providing a clearer and more explicit definition of the scope of protection of the present invention.

[0040] The terms "comprising" and "having," and any variations thereof, used in this invention are intended to cover non-exclusive inclusion. References to "embodiment" herein mean that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0041] This invention mainly relates to a dynamic display method for voice scene interaction based on near-field communication, where near-field communication includes but is not limited to using NFC, Bluetooth, Wi-Fi, RFID, and cellular networks.

[0042] Dynamic displays of voice-activated scene interactions can be achieved by connecting to smart devices via near-field communication (NFC) technology and displaying the interactions on the smart device's screen. These smart devices include, but are not limited to, smartphones, tablets, and computers. This method leverages the extremely short-range transmission advantage of NFC, or other near-field communication technologies, not only saving costs but also displaying the interactive scenarios of smart voice-activated home appliances on the smart device's screen, thus overcoming the limitation of not being able to visually demonstrate smart voice commands.

[0043] This embodiment uses NFC as an example for explanation. The present invention combines NFC tags with smart voice-controlled home appliances, saves the status of smart voice-controlled home appliances to a cloud server, and analyzes and weights the refrigerator status and interaction data through the NFC decision center, and finally dynamically displays the content of the NFC tag.

[0044] Combination Figure 1 As shown, a dynamic display method for voice scene interaction based on near-field communication includes the following steps:

[0045] Get the number N of existing voice scene interactions per unit time period t;

[0046] When the quantity N=1, the voice scenario is the display scenario of the near-field communication tag; for example, if the unit time is 5 minutes, then if there is only 1 voice scenario interaction within 5 minutes, the default display scenario of the near-field communication tag is the current voice scenario.

[0047] When the quantity N>1, obtain the maximum dynamic display value Y within a unit time period t, and set the voice scene corresponding to the maximum dynamic display value Y as the display scene of the near-field communication tag; for example, if there are 5 voice scene interactions within a unit time of 5 minutes, namely recipe, ingredient management, music, ingredient management, and refrigerator control, and the maximum dynamic display value Y of the recipe is the largest, then the scene displayed by the near-field communication tag is the recipe.

[0048] When the quantity N=0, obtain the number M of voice scene interactions within a unit time period t.

[0049] When the quantity M=1, the voice scene that exists within the unit time period t is the display scene of the near-field communication tag. If a scene recipe still exists within the unit time of 5 minutes, then the recipe is the scene displayed by the near-field communication tag.

[0050] When the quantity M > 1, obtain the last surviving voice scene of the last interaction within the previous unit time period t-1, and set the surviving voice scene of the last interaction as the display scene of the near-field communication tag; if multiple scenes still exist within a unit time period of 5 minutes, the scene displayed by the near-field communication tag is the surviving voice scene of the last interaction within the previous unit time period t-1.

[0051] When the quantity M=0, obtain the nearest unit time period tx before the unit time period t where there was a voice scene interaction;

[0052] When the most recent unit time period tx is obtained, the maximum dynamic display value Y within the most recent unit time period tx is obtained, and the voice scene corresponding to the maximum dynamic display value Y is set as the display scene of the near field communication tag.

[0053] The aforementioned maximum dynamic display value Y is determined based on the chronological order, number of interactions, and duration of interactions within the corresponding time period. The maximum dynamic display value Y is determined through multiple dimensions.

[0054] Preferably, within a unit time period t, the maximum dynamic display value Y is larger for voice scenarios with newer interaction times, larger for voice scenarios with more interaction times, and larger for voice scenarios with longer interaction durations. Newer interaction times indicate later voice scenario interactions.

[0055] Furthermore, within a unit time period t, the more recent the interaction voice scenario is set, the higher the ranking of the voice scenario; the earlier the interaction voice scenario is set, the lower the ranking of the voice scenario.

[0056] If there are m repeated voice scene interactions out of n voice scene interactions within a unit time period t, then the number of non-repeating scene interactions within the unit time period t is obtained as nm.

[0057] Example 1: If there are 5 interactions within a 5-minute time unit, namely recipe, ingredient management, music, ingredient management, and refrigerator control, and the durations of these 5 interactions are 20s, 15s, 70s, 10s, and 5s respectively, then n=5, m=1, and the number of non-repeating scene interactions is 4.

[0058] Obtain the scene order o of each individual scene that undergoes nm non-repeating interactions within a unit time period t, and combine the scene orders o to form a scene order set O as O = {o1, o2, ..., o}. n-m-1 o n-m}, where n∈N + And o1 = nm, o2 = nm, ..., o n-m = 1.

[0059] Example 1 generates O = {Recipe, Ingredient Management, Music, Refrigerator Control}.

[0060] Preferably, the total number of interactions f for each single scenario with non-repeating interactions within a unit time period t is obtained;

[0061] When the total number of interactions f for each individual scene is obtained, the set F of single-scene interaction counts generated by combining the total number of interactions f for each individual scene is obtained, F={f1}. i f2 j , ..., f n-m-1 k f n-m l}, where i,j,k,l are the number of interactions in a single scene with non-repeating interactions in a unit time period t, and i,j,k,l∈N.

[0062] The first example generates F={1,2,1,1}.

[0063] Preferably, the interaction duration d of each single scene with non-repeating interactions within a unit time period t is obtained;

[0064] When obtaining the interaction duration d of each single scene with non-repeating interactions within a unit time period t, obtain the average interaction duration u and the variance σ of the interaction duration d of each single scene; if there are repeated scenes, the average interaction duration u and the variance σ of the interaction duration d are selected from the values ​​corresponding to the time of the most recent interaction.

[0065] When obtaining the average interaction duration u and the variance σ of the interaction duration, the interaction duration d of each individual scene is normalized to obtain the normalized interaction duration d of each individual scene. norm , where d norm =(du) / σ;

[0066] After obtaining the normalized interaction duration d for each individual scenario norm At that time, the normalized interaction duration d will be used. norm Combine to generate a normalized set of interaction durations D norm D norm ={d norm1 d norm2 , ..., d norm,n-m-1 d norm,n-m}

[0067] The time from the voice-triggered command word to the completion of the response in a single scene within a unit time period t is measured in seconds. Since the interaction duration varies across different scenes within the same time period t, and even within the same scene, there are subtle differences in interaction time, this invention uses the normalized interaction duration d for each individual scene. norm As a benchmark, it is more logically reasonable, making the final result more in line with actual needs.

[0068] D generated in Example 1 norm ={0, 0.01, 0.05, 0.03}

[0069] Furthermore, obtain the number of preceding decisions p for each single scenario in the previous unit time period t-1 without repeated interactions;

[0070] When the number of preceding decisions p in a single scenario is obtained, the number of preceding decisions p in a single scenario is combined to generate a set of interaction times P in a single scenario as P = {p1, p2, ..., p}. n-m-1 p n-m}

[0071] In Example 1, P = {0, 2, 1, 1}.

[0072] To avoid the influence of different parameters on the scene display, each parameter needs to be weighted. The scene with the largest weighted value is the scene that will be displayed in the unit time period t. The weight vector W of each individual scene with non-repeating interactions in the previous unit time period t-1 is obtained. T Among them, W T ={α, β, λ, η}, α= o i / Σo i , β = f i / Σf i , λ= d normi / Σd normi η = p i / Σp i , i∈(1,nm);

[0073] After obtaining the weight vector W T At that time, calculate the maximum dynamic display value Y, where Y = MAX({o i f i d normi p i} W T , i∈(1,nm).

[0074] W in Example 1 T ={0.5, 0.3, 0.15, 0.5}.

[0075] Ultimately, the maximum dynamic display value Y for refrigerator control was calculated to be the largest, and the display scenario for the near-field communication tag was refrigerator control.

[0076] Preferably, when the quantity M=0, the nearest unit time period tx and the second nearest unit time period ty that existed before the unit time period t are obtained;

[0077] When the most recent unit time period tx and the second most recent unit time period ty are obtained, the maximum dynamic display value Y corresponding to these two time periods is obtained respectively. t-x Y t-y ;

[0078] To obtain the maximum dynamic display value Yt-x Y t-y At that time, calculate the maximum dynamic display value Y, where Y = (Y t-x Y t-y )(θ,ψ), where, (Y t-x Y t-y Both (θ, ψ) are set as vectors, where θ is the weighted dynamic display value of the most recent unit time period tx, and ψ is the weighted dynamic display value of the second most recent unit time period ty, and θ > ψ;

[0079] When the maximum dynamic display value Y is obtained, the voice scenario corresponding to the maximum dynamic display value Y is the display scenario of the near-field communication tag.

[0080] Preferably, θ is 0.6 and ψ is 0.4.

[0081] To address the aforementioned technical issues, a home appliance interaction system that implements the above method is also provided below.

[0082] Combination Figure 2 As shown, in this embodiment, a home appliance interaction system includes: a smart voice-activated home appliance, a cloud server, a decision center, a near-field communication tag, and a smart device with video display; wherein, the smart device is used to identify the near-field communication tag, and the decision center is configured to execute a dynamic display method for voice scene interaction based on near-field communication as described above.

[0083] Specifically, smart voice-activated home appliances accept multiple voice scenarios input by the user. For example, a smart voice-activated refrigerator uploads its MAC address and multiple voice scenario identifiers to a cloud server. The cloud server stores the smart voice-activated home appliance's MAC address and all scenario identifiers. The decision center obtains the smart voice-activated home appliance's MAC address and all scenario identifiers through NFC or other near-field communication. Then, using the aforementioned dynamic display method based on near-field communication voice scenario interaction, the smart voice-activated home appliance's MAC address and all scenario identifiers are encapsulated into a URL and written to a designated near-field communication tag. The user scans the near-field communication tag with a smart device to open the display scenario of the near-field communication tag.

[0084] Compared to existing technologies, the dynamic display method and home appliance interaction system based on near-field communication (NFC) provided by this invention presents user voice interaction scenarios dynamically from multiple dimensions, starting from user interaction data. This is more reasonable than simply considering the timing of interactions and fundamentally solves the problem of the limited display of NFC tags. NFC technology not only saves costs but also allows voice scenarios to be displayed on the screen of smart devices, overcoming the limitation of not being able to intuitively display voice scenarios. It has advantages in terms of better human-computer interaction, rationality, and feasibility.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made to it in form and detail without departing from the scope defined by the claims of the present invention.

Claims

1. A dynamic display method for voice scene interaction based on near-field communication, characterized in that, Includes the following steps: Get the number N of existing voice scene interactions within a unit time period t; When the quantity N=1, this voice scenario is the display scenario for near-field communication tags; When the quantity N>1, obtain the maximum dynamic display value Y within a unit time period t, and set the voice scene corresponding to the maximum dynamic display value Y as the display scene of the near field communication tag; When the quantity N=0, obtain the number M of voice scene interactions within a unit time period t. When the quantity M=1, the continuous voice scene within this unit time period t is the display scene of the near-field communication tag; When the quantity M>1, obtain the last surviving voice scene of the last interaction within the previous unit time period t-1, and set the surviving voice scene of the last interaction as the display scene of the near field communication tag. When the quantity M=0, obtain the nearest unit time period tx before the unit time period t where there was a voice scene interaction; When the most recent unit time period tx is obtained, the maximum dynamic display value Y within the most recent unit time period tx is obtained, and the voice scene corresponding to the maximum dynamic display value Y is set as the display scene of the near field communication tag. The aforementioned maximum dynamic display value Y is determined based on the chronological order of interactions, the number of interactions, and the duration of interactions within the corresponding time period, specifically as follows: Obtain the weight vector W of each individual scene for non-repeating interactions in the previous time period t-1. T Among them, W T ={α, β, λ, η}, α= o i / Σo i , β = f i / Σf i , λ= d normi / Σd normi η = p i / Σp i , i∈(1,nm); After obtaining the weight vector W T At that time, calculate the maximum dynamic display value Y, where Y = MAX({o i f i d normi p i } W T , i∈(1,nm); When the quantity M=0, obtain the nearest unit time period tx and the second nearest unit time period ty that existed before the unit time period t; When the most recent unit time period tx and the second most recent unit time period ty are obtained, the maximum dynamic display value Y corresponding to these two time periods is obtained respectively. t-x Y t-y ; To obtain the maximum dynamic display value Y t-x Y t-y At that time, calculate the maximum dynamic display value Y, where Y = (Y t-x Y t-y )(θ,ψ), where, (Y t-x Y t-y Both (θ, ψ) are set as vectors, where θ is the weighted dynamic display value of the most recent unit time period tx, and ψ is the weighted dynamic display value of the second most recent unit time period ty, and θ > ψ; When the maximum dynamic display value Y is obtained, the voice scenario corresponding to the maximum dynamic display value Y is the display scenario of the near-field communication tag.

2. The dynamic display method for voice scene interaction based on near-field communication according to claim 1, characterized in that: Within a unit time period t, the maximum dynamic display value Y is larger for voice scenarios with newer interaction times, larger for voice scenarios with more interaction times, and larger for voice scenarios with longer interaction durations.

3. The dynamic display method for voice scene interaction based on near-field communication according to claim 2, characterized in that: Get the total number of interactions f for each single scene with non-repeating interactions within a unit time period t; When the total number of interactions f for each individual scene is obtained, the set of single-scene interaction counts F is generated by combining the total number of interactions f for each individual scene, F={f1} i f2 j , ..., f n-m-1 k f n-m l }, where i,j,k,l are the number of interactions in a single scene with non-repeating interactions in a unit time period t, and i,j,k,l∈N.

4. The dynamic display method for voice scene interaction based on near-field communication according to claim 3, characterized in that: Get the interaction duration d of each single scene with non-repeating interactions within a unit time period t; When obtaining the interaction duration d of each single scene with non-repeating interactions within a unit time period t, obtain the average interaction duration u and the variance σ of the interaction duration d of each single scene. When obtaining the average interaction duration u and the variance σ of the interaction duration, the interaction duration d of each individual scene is normalized to obtain the normalized interaction duration d of each individual scene. norm , where d norm =(du) / σ; After obtaining the normalized interaction duration d for each individual scenario norm At that time, the normalized interaction duration d will be used. norm Combine to generate a normalized set of interaction durations D norm D norm ={d norm1 d norm2 , ...,d norm,n-m-1 d norm,n-m } 5. The dynamic display method for voice scene interaction based on near-field communication according to claim 4, characterized in that: Get the number of preceding decisions p for each single scenario in the previous unit time period t-1 without repeated interactions; When the number of preceding decisions p in a single scenario is obtained, the number of preceding decisions p in a single scenario is combined to generate a set of interaction times P in a single scenario as P = {p1, p2, ..., p}. n-m-1 p n-m } 6. The dynamic display method for voice scene interaction based on near-field communication according to claim 1, characterized in that: θ is 0.6 and ψ is 0.

4.

7. A home appliance interactive system, characterized in that, include: Smart voice-controlled home appliances, cloud servers, decision centers, near-field communication tags, and smart devices with video display capabilities; In this embodiment, the intelligent device is used to identify near-field communication tags, and the decision center is configured to execute a dynamic display method for voice scene interaction based on near-field communication as described in any one of claims 1-6.

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