FR3034216A1 - INTERACTION OF A USER, USING AN INTERACTION DEVICE, WITH A MEDIA CONTENT EXECUTED BY A LIGHT CLIENT AND CALIBRATING THE INTERACTION DEVICE - Google Patents

Abstract

The invention relates to an interaction of a user, by means of an interaction device, in particular a joystick, with a multimedia content, in particular a game, executed by a thin client and a calibration of the device. an interaction with a thin client configured to execute at least one media content. An object of the invention is a method of interaction of a user, by means of an interaction device, with a multimedia content executed by a thin client, the interaction method comprising, after manipulation of the device interaction by a user interacting with the multimedia content, an interaction, the interaction transmitting, to the thin client, interaction data relating to the multimedia content, the interaction triggering a processing of the transmitted interaction data, in function of previously learned calibration data: the calibrated interaction data relating to the multimedia content being provided to the thin client. Thus, the user can use any game controllers available on the market as well as game controllers built by the publisher of the game being played, as well as controllers of other publishers without interacting with a game executed on a web browser. particular manipulation of the thin client or the interface of the joysticks by the user nor providing specific interface to the joysticks used by the publisher of the game.

Description

The invention relates to an interaction of a user, by means of an interaction device, in particular a joystick, with a multimedia content, in particular a game, executed by a thin client and a calibration of the device. interaction with a thin client configured to execute at least one media content. The world of video games has long been restricted to video consoles that offers game controllers adapted to the interaction with the universe proposed in video games. Since consoles and controllers are developed by large video game manufacturers, they have decided for commercial reasons to allow playing with their game console with dedicated game controllers. For this, the communication language between the consoles and joysticks is proprietary. Today PC games are developing more and more with catalogs accessible via the Internet. The user downloads the desired game on his computer. These games do not currently provide for interaction using a joystick although the user has many game controllers in the trade. The next step is to deport the game's execution to the "cloud" (Cloud). These games are also not intended for a user to play through a gamepad trade. One solution would be to propose a new controller of proprietary games dedicated to games in "Cloud gaming", a game publisher or owner of a "Cloud" could offer proprietary joysticks dedicated only games that publishes or offers. The limit of this solution is that the user should have as much controller as visited "Cloud". Thus, the world of games is increasingly oriented towards games executed in browsers whether for games written using HTML5.0 and / or JavaScript, and / or games streamed during sessions. WebRTC communications. In any case, the game controller support is essential: a browser-based gamepad support API (API Game Pad) is being defined as part of the W3C with a first "draft" specified in 2014 .

This browser control support interface does not take into account the fact that multiple controllers exist on the market whose configurations differ: number of interaction elements, types and positioning of interaction elements (buttons, axes, triggers , directional pad ...), notion of axis positioning and associated values. In particular, if the axes always evolve according to values from -1 to +1, these values are completely different from one manufacturer to another. For example, the values returned by pressing the directional pad between an Orange or Xbox controller are totally different, but they must be the same to produce the same functionality by the game.

Thus, the game provider wishing to offer a "cloud gaming" solution by letting his customers choose the controllers that the client will use, must implement, for each gamepad supported, the specificities of the gamepad. One of the aims of the present invention is to provide improvements over the state of the art. An object of the invention is a method of interaction of a user, by means of an interaction device, with a multimedia content executed by a thin client, the interaction method comprising, after manipulation of the device interaction by a user interacting with the multimedia content, an interaction, the interaction transmitting, to the thin client, interaction data relating to the multimedia content, the interaction triggering a processing of the transmitted interaction data, based on previously learned calibration data: the calibrated interaction data relating to the multimedia content being provided to the thin client.

Thus, the user can use any game controllers available on the market to interact with a game running on a web browser, as well as game controllers built by the publisher of the game being played, as well as controllers by other publishers. without particular manipulation of the thin client or the interface of the joysticks by the user nor providing specific interface 25 to the joysticks used by the publisher of the game. Advantageously, the interaction method comprises, following a coupling of an interaction device with a terminal implementing the thin client by the user, a connection transmitting connection data to the thin client, the connection 30 triggering a learning process the learned calibration data. Thus, not only the user does not have to think about the interaction device, especially joysticks, it uses with content running on a web browser, because the simple connection, UBS connectivity, or pairing for example, Wifi, Bluetooth ..., by the user of the joystick on the communication terminal implementing a web browser will trigger the learning of the coupled joystick so that the user can then use this joystick to interact with content, such as a game, executed by the web browser. But also, the game does not have to be overloaded with recorded settings specific to each model of controllers that the game provider wish compatible.

Advantageously, the interaction method comprises, following manipulation by a user according to a notification of the learning method requiring a given manipulation of a specified interaction element of the interaction device, a transmission of position learning interaction data initiating a recording of the position learning interaction data in association with a predefined calibration data for the specified interaction element as a function of the given manipulation. Thus, the user is guided in the rare manipulations of the game controllers necessary for his learning thus limiting learning errors and manipulations by the user. Advantageously, according to an implementation of the invention, the various steps of the method according to the invention are implemented by a software or computer program, this software comprising software instructions intended to be executed by a data processor. an interaction device and being adapted to control the execution of the different steps of this method. The invention therefore also relates to a program comprising program code instructions for executing the steps of the interaction method when said program is executed by a processor. An object of the invention is also an interaction device enabling a user to interact with a multimedia content executed by a thin client, the interaction device including an activated user interface following manipulation by a user interacting with the client. the multimedia content, the user interface transmitting interaction data relating to the multimedia content to the thin client, the user interface triggering a calibrator, the calibrator processing the transmitted interaction data according to calibration data previously learned: calibrated interaction data relating to the media content being provided to the thin client.

Advantageously, the interaction device is a joystick. An object of the invention is also a method of calibrating an interaction device with respect to a thin client configured to execute at least one multimedia content with which a user can interact by means of the interaction device, characterized in that that the calibration method comprises, following manipulation of the interaction device by a user interacting with the multimedia content, a processing of the interaction data relating to the multimedia content transmitted by the interaction device according to calibration data previously learned, the processing providing calibrated interaction data 40 relating to the multimedia content to the thin client.

Thus, the product, namely the browser interface and / or the browser and / or the content does not have to be overloaded by parameters specific to each interaction device that the product supplier wishes to be compatible with. his product.

In addition, the user does not have to make himself a setting of the browser interface and / or the browser so that he can then correctly interact with the content executed by the browser thus simplifying the use of the browser. a joystick for the user and avoiding the risk of interaction errors related in particular to a parameter setting erroneous by the user.

Advantageously, the calibration method comprises a learning method recording, in association with a predefined calibration data for a specified interaction element as a function of a given manipulation, position learning interaction data transmitted by the interaction device following manipulation by a user according to a notification of the learning method requiring the given manipulation of the specified interaction element of the interaction device by the user. Advantageously, the processing comprises one of the following operations: a calibrated interaction data item is equal to a calibration data item read in the recorded data as a function of the received interaction data item, the received interaction data item being searched for in the stored data; records and the associated recorded calibration data is read, - a calibrated interaction data is calculated such that the ratio between the calibrated interaction value of the interaction element corresponding to the received interaction data and the received interaction data is equivalent to that existing between the stored calibration data and the position learning interaction data for the interaction element. Thus, the calibrated interaction data are of the same nature as the received interaction data, namely, for example, corresponding to a fixed or relative position of an interaction element. This makes it possible in particular to orientate in a precise direction an interaction of movement and / or observation of an object of the content, characters, animals, camera, etc. Advantageously, according to an implementation of the invention, the various steps of the method according to the invention are implemented by a software or computer program, this software comprising software instructions intended to be executed by a data processor. a calibrator and being designed to control the execution of the different steps of this process. The invention therefore also relates to a program comprising program code instructions for performing the steps of the calibration method when said program is executed by a processor.

Another object of the invention is a method of learning an interaction device with a thin client executing multimedia content, the learning method comprising at least one recording, in association with a predefined calibration data item. For a specified interaction element according to a given manipulation, positional interaction interaction data transmitted by the interaction device following manipulation by a user according to a notification of the method of learning requiring the given manipulation of the specified interaction element of the interaction device by the user.

Advantageously, the learning method comprises a configuration discovery of the interaction device receiving at least one value coming from the interaction device following a discovery request, the values making it possible to identify interaction elements of the device. interaction.

Thus, a description of the interaction device, prior to its use to integrate with content executed by a thin client, does not need to be provided in particular by either the user or the device provider. Advantageously, the recording is performed for each of all the positions of each of the interaction elements of the interaction device. Thus, the user may later use all the functions of the interaction device even if, for certain content, some of these interaction functions will not correspond to any interaction with the content.

As a result, since the interaction functions are all learned, the user will be able to change the game executed by the thin client without this requiring additional training of the interaction device with interacting with this new game. therefore limit the time of passage from one game to another on the thin client by keeping the same controller.

Advantageously, according to an implementation of the invention, the various steps of the method according to the invention are implemented by a software or computer program, this software comprising software instructions intended to be executed by a data processor. a training device, in particular forming part of the calibrator and being designed to control the execution of the various steps of this method. The invention therefore also relates to a program comprising program code instructions for executing the steps of the learning method when said program is executed by a processor.

These programs may use any programming language and be in the form of source code, object code or intermediate code between source code and object code such as in a partially compiled form or in any other desirable form. .

An object of the invention is, furthermore, a communication terminal configured to be coupled to at least one interaction device, the communication terminal comprising: - an interaction interface receiving data from a communication device; interaction coupled to the communication terminal; - A thin client device running multimedia content; A calibrator implemented between the interaction interface and the thin client device, the calibrator comprising a processing of the interaction data relating to the multimedia content received as a function of calibration data previously learned, the processing providing interaction data; calibrated media content to the thin client.

The characteristics and advantages of the invention will emerge more clearly on reading the description, given by way of example, and the related figures which represent: FIG. 1, a simplified diagram of an interaction method according to FIG. 2 shows a simplified exchange diagram of the interaction, calibration, learning methods according to the invention, FIGS. 3a and 3b, respectively a communication terminal architecture diagram, and a diagram. of a calibrator according to the invention. FIG. 1 illustrates a simplified diagram of a PI interaction method according to the invention.

The PI interaction method allows a user U, by means of an interaction device (not shown in FIG. 1), to interact with a multimedia content c executed by a thin client CCL. The interaction method PI comprises, following a manipulation mnp of the interaction device 30 by the user U interacting with the multimedia content c, an interaction INTRACT. The INTRACT interaction transmitting, to the CCL thin client, interaction data di / c relating to the multimedia content. The INTRACT interaction triggers a TRT processing of the transmitted interaction data, based on previously learned calibration data: the dic / c calibrated interaction data relating to the multimedia content being provided to the thin client CCL. In particular, the interaction method PI comprises, following a coupling of an interaction device with a terminal implementing the CCL thin client by the user U, a CNX connection transmitting connection data cnct () to CCL thin client destination.

The CNX connection triggers a learning process PA providing the learned calibration data dc. In particular, the PI interaction method comprises a coupling detection CPL_DTCT monitoring a connection interface of the interaction device. Coupling detection CPL_DTCT triggers the CNX connection following a coupling of an interaction device with a terminal implementing the thin client by the user. Thus, the physical coupling of the interaction device with the terminal whether wired 10 (for example USB ...) or wireless (infrared, Bluetooth, Wifi ..;) triggers a connection in terms of communication, for example an establishment of a communication session, allowing a data exchange between the interaction device and the terminal. In particular, the interaction method PI comprises, following a manipulation mnp by a user U as a function of a notification ntf (Elk) of the learning method PA requiring a given manipulation of a specified interaction element Elk of the interaction device, a POSa TR emission of position learning interaction data diak triggering a recording MEM (diak, dck) of position learning interaction data in association with a predetermined calibration data for the specified interaction element as a function of the given manipulation. In particular, the interaction INTRACT transmits the interaction data di / c relating to the multimedia content on request req di / c of the terminal.

Thus, even if the interaction devices are not configured to automatically reassemble the interaction data to a thin client, the thin client will receive the interaction data generated by the interaction method following the mnp manipulation of the device. interaction by a user U since they have been requested to the PI interaction method.

One embodiment of the interaction method is a program comprising program code instructions for executing the steps of the interaction method when said program is executed by a processor.

FIG. 2 illustrates a simplified exchange diagram of the PI interaction, PC calibration and PA learning methods according to the invention. In the example illustrated in FIG. 2, a user U uses a DIN interaction device composed in particular of at least one interaction element of type a, in particular interaction axes 40, Ela and / or at least one type interaction element 13, in particular interaction buttons EII3, and coupled to a communication terminal T having a DCLL thin client device for interacting with a content c executed EXEc by the thin client device DCLL.T terminal has an interaction interface IIN directly exchanging with the interaction device DIN coupled to the terminal T.

If the user U couples cpl (T), cpl (DIN) a new interaction device DIN to the terminal T, the coupling can, in particular, trigger a first so-called CNX connection phase. During the connection phase, a connection (not shown) implemented by the interaction device DIN enables data exchanges between the interaction device DIN and the terminal T, in particular the interaction interface IIN. , in particular by establishing a communication session between the interaction device DIN and the interaction interface IIN. For example, the interaction device DIN sends a connection message cnct () to the interaction interface IIN which triggers the opening of the data exchanges. In particular, the coupling triggers an LST listening by the interaction interface IIN of the interaction device DIN and triggers the establishment of the communication session between the interaction device DIN and the interaction interface IIN when this listens LST receives the connection message cnct (). The IIN interaction interface goes back, then, the new connection status stt-cnct to the thin client device DCLL which transmits a connection event cnct evt. A CLB calibrator 20 implemented as an interface between the IIN interaction interface and the DCLL thin client device and / or a PC calibration method and / or a learning method waits for the connection event cnct evt for, respectively, activate and / or activate. In the example of FIG. 2, the interaction device DIN communicates with the interaction interface IIN only information relating to the connection. In particular, the interaction device illustrated in FIG. 2 is not configured to automatically go back to the interaction interface with other data such as interaction data. FIG. 2 illustrates a second so-called APP learning phase which is, in particular, triggered following the connection phase. Thus, when the waiting WT receives the connection event cnct-evt, it triggers in particular a learning process PA put, for example, implemented by a calibrator CLB. The learning method PA comprises at least one record MEM, in association with a predefined calibration data item for a specified interaction element Elai, E113j, Elak as a function of a given manipulation, of interaction data of learning position vai, vI3j, vak issued by the interaction device DIN following manipulation mvai, mv13j, mvak by a user U according to a notification ntfai, ntfI3j, ntfakl learning process PA 3034216 9 requesting the given handling of the specified interaction element Elai, E113j, Elak of the interaction device DIN by the user U. In particular, the learning method PA comprises a DCV configuration discovery of the receiving interaction device DIN. at least a value cnf din coming from the interaction device DIN following a discovery request dcv req, the values cnf din making it possible to identify interaction elements Ela, EII3 of the device if of interaction DIN. For example, the cnf din values identify the number and type of interaction elements.

In particular, following a DCV RC reception (not shown) of a dcv_req discovery request by the interaction device and / or a PI interaction method, the dcv_req discovery request is relayed DCV_RLY (not shown), for example by the interaction method PI, to all the interaction elements Ela, EII3 of the interaction device DIN. The interaction elements Ela, EII3 receiving the discovery request dcv_req return at least one configuration value, respectively cnfa, cnfI3, making it possible to identify the interaction element, for example an identifier making it possible to identify which element interaction comes from an interaction data and / or a type of interaction element (axes, buttons, directional pad ...). In particular, the PI interaction method comprises a generation CNF_GEN (not shown) of a configuration information cnf din from the values provided by all the interaction elements of the interaction device DIN. The generation of configuration information CNF_GEN transmits the generated configuration information cnf din in response to the discovery request dcv_req. In particular, the CNF REQ configuration information generation relays DCV_RLY the discovery request to the interaction elements.

In particular, the DCV configuration discovery stores the discovered values, also called configuration information cnf din. In particular, this configuration information cnf din is used by the training method to require a given manipulation of a specific interaction element Elai, E113j, Elak of the interaction device DIN by the user U. the learning method PA comprises an NTF GEN notification generator (not shown) configured to generate reproducible notifications upon execution by a thin client device DCLL. The notification generator generates, in particular, notifications ntfai, ntfI3j, ntfakl requiring a given manipulation of a specific interaction element Elai, E113j, Elak of the interaction device DIN by the user U and transmits them to the client device light DCLL that reproduces them.

Thus, the learning method PA generates a first notification ntfal (not shown) relating to a first interaction element Eal selected from the interaction elements of a first type a (for example the axes) of the device. DIN interaction, especially among the interaction elements Ea of a first type recorded during the DCV discovery.

Then, possibly, the learning method PA requires learning interaction data reqal to this interaction element Eal. The learning method PA receives the learning interaction data val from this interaction element Eal, if necessary in return for the data request, and stores them in association with a predefined calibration data item for this element. 'interaction. In particular, a calibration data is defined as a value triggering a data triggering an interaction with a content corresponding to a given manipulation. And, the learning method PA renews its notifications and storage of learning interaction data in association with calibration data for each interaction element of the interaction device DIN, in particular each previously discovered interaction element. . In particular, the learning method PA notifies, for each interaction element Eai among the interaction elements of a first type a (for example the axes) of the interaction device DIN, to the user U a given manipulation request of the interaction element Eai, in particular by sending the notification to a reproducing device, such as the thin client device DCLL. Then, the learning method PA stores MEM the resultant learning interaction data vai in association with a predefined calibration data for that interaction element Eai. Then, the learning method PA notifies ntfI3j, for each interaction element EI3j among the interaction elements of a second type 13 (for example the buttons) of the interaction device DIN, to the user U a request given manipulation of the interaction element EI3j, in particular by sending the notification to a reproducing device, such as the DCLL thin client device. Then, the learning method PA stores MEM the resultant learning interaction data vI3j in association with a predefined calibration data for this interaction element EI3j.

The learning method PA sends a new notification and performs MEM storage for each interaction element of each of the interaction element types of the DIN interaction device.

3034216 11 Depending on the type of interaction element different handling can be requested from the user. For example, for an interaction element of axes type, the user can simply be asked to move the axis without further precision or the user can be asked to move the axis in a given position: up, down, right, left for example). In this case, the learning method PA renews its ntfockl notifications and MEM storage of the vockl learning interaction data item for each given position of each interaction element of each of the interaction element types of the device. DIN interaction allowing several positions.

In particular, the MEM record is performed for each of all the positions of each of the interaction elements of the interaction device. In particular, a dynamic learning method ADYN includes all the MEM storage of the learning interaction data in association with the calibration data. The dynamic learning method includes the generation of appointments and / or requests for learning interaction data requests. Thus, the learning method PA comprises the dynamic learning method ADYN during which the user U manipulates the different interaction elements E1 of the interaction device DIN in their different possible positions.

In particular, when the user U changes the interaction device DIN, i.e., disconnects the connected interaction device to couple, again, a DIN interaction device to the terminal T, or couples a second terminal interaction device T, i.e., the paired interaction device, also called the first interaction device, the discovery method and / or the training method are again executed in collaboration with an interaction method implemented by the last coupled interaction device. Thus, the invention not only allows the user to use the interaction device that he wishes to interact with the content executed by the thin client but also to change or allow interaction with several devices of the client. interaction which can, in particular, be interesting in the case of content such as multiplayer games. In one variant of the invention, the decoupling of the device and the terminal triggers an erasure of the cnf_din configuration information and / or memorized learning interaction data. Alternatively, storage of the cnf_din configuration information and / or learning interaction data is performed in association with identification data of the interaction device.

Thus, during a subsequent connection of an interaction device which has already been learned, that is to say for which cnf_din configuration information and / or data of Learning interactions have already been stored and retained despite the disconnection of the interaction device, the calibration method and / or the training method and / or the calibrator retrieves these cnf_din configuration information and / or interaction data. of learning and does not trigger DCV discovery or MEM storage (in particular, ADYN dynamic learning) for immediate UTL use of the interaction device for interacting with content executed EXEc by the thin client device DCLL.

The connection time of an interaction device is then reduced from the point of view of the user, as well as the time of interaction with content: limiting the risk of errors in interactions / even absence of interaction on content executed in real time by the DCLL thin client device or by a remote device (not shown) distributing it to the DCLL thin client device (in particular by using the method of accessing content from a client a light 15 of a remote communication terminal, described by international application W02014 / 029944). One embodiment of the learning method is a program comprising program code instructions for performing the steps of the learning method when said program is executed by a processor.

FIG. 2 illustrates a so-called UTL third phase that is, in particular, allowed when the learning phase is over, that is to say that the learning interaction data are stored for all the elements. interactions of the interaction device in all their positions. In particular, the learning method PA triggers a PC calibration method. When the user U wishes to interact with a content executed EXEc by the thin client device DCLL, he activates the interaction device DIN, in particular one of its interaction elements E1: the interaction method PI interacts with INTRACT. the terminal by sending interaction data relating to the di / c content. A PC calibration method comprises, following a mnp manipulation of the interaction device DIN by a user U interacting with the multimedia content c, a processing TRT interaction data di / c relating to the multimedia content transmitted by the device 35 d DIN interaction based on previously learned dc calibration data, the TRT processing providing calibrated interaction data relating to the multimedia content to the thin client. In particular, the PC calibration method processes TRT the received di / c content interaction data as a function of previously learned dc calibration data (in this case in the example of Fig. 2 by the method of learning PA).

In particular, if the learning method PA memorizes MEM in a training database, the calibration method will look for the calibration data of according to the interaction data received di / c in this database. 'learning. The calibration method will provide the calibrated interaction data dic / c computed by the TRT processing to the execution of the EXEc content to modify the EXEc execution thereof based on these calibrated interaction data dic / c. In particular, the calibration method comprises a DTM monitoring of the DIN interaction device 10 consisting in particular of a recurrent transmission of a data request req di, followed by a reception of the data di / c sent by the device response interaction, and then detecting a change in the received data values di / c. If the MNT monitor detects an interaction, i.e. in the example a modification of the received data values, it directly or indirectly triggers the processing of the interaction data relating to the content di / c. In particular, the processing provides a calibrated interaction data item equal to a calibration data item read from the recorded data as a function of the received interaction data item, the received interaction data item being searched for in the records and the calibration data item. registered partner is read. In particular, the processing provides a calibrated interaction data is calculated such that the ratio between the calibrated interaction value of the interaction element corresponding to the received interaction data and the interaction data received is equivalent to the one existing between the stored calibration data and the position learning interaction data for the interaction element. In particular, the calibration method comprises the learning method.

One particular embodiment of the calibration method is a program comprising program code instructions for performing the steps of the calibration method when said program is executed by a processor. FIG. 3a illustrates a communication terminal architecture scheme 1 according to the invention with which a user interacts at least one interaction device 2a, 2b according to the invention. The interaction device 2a, 2b allows a user to interact with multimedia content executed by a thin client. The interaction device 2a, 2b has a user interface 20a activated following manipulation by a user interacting with the multimedia content. The user interface 20a transmitting interaction data dia / c relating to the multimedia content to the thin client. The user interface 20a triggers a calibrator 12. The calibrator 12 processes the transmitted dia / c interaction data according to previously learned calibration data: the calibrated interaction data relating to the multimedia content is provided to the thin client. In particular, the interaction device 2a, 2b is a joystick. A communication terminal 1 is coupled to at least one of the interaction devices 10 2a, 2b. The communication terminal 1 comprises - an interaction interface 11 receiving data dia / c, dib / c from the interaction device 2a, 2b coupled to the communication terminal 1; A thin client device 13 executing multimedia content; A calibrator 12 implemented between the interaction interface 11 and the thin client device 13, the calibrator 12 processing the interaction data dia / c, dib / c relating to the multimedia content received as a function of calibration data previously learned; , the processing providing calibrated interaction data relating to the multimedia content to the thin client. The interaction devices 2a and 2b are of different type as illustrated by FIG. 3a, or of identical type (that is to say having the same interaction elements implemented physically at the same place on the device of FIG. interaction and providing the same interaction data). FIG. 3b illustrates a diagram of a calibrator according to the invention. The schema of the calibrator 12 in FIG. 3b is a more detailed example of a calibrator implemented in the architecture of FIG. 3a. The calibrator 12 comprises a processing module 120 processing the interaction data dia / c, dib / c received media based on previously learned calibration data, the processing providing calibrated interaction data relating to the multimedia content to the thin client. In particular, the calibrator 12 comprises a learning module 121 recording 13. (v, dc), in association with a predefined calibration data for a specified interaction element 35 as a function of a given manipulation, of the data. position learning interaction v emitted by the interaction device 2a following manipulation. In particular, the calibrator 12 comprises a sensor 122 detecting a coupling of the interaction device 2a with the terminal 1. The sensor 122 notably receives a connection information from the interaction interface 11 and activates 1.cnct evt. the learning module 121, in particular, a discovery module 1212 of the learning module 121. In particular, the calibrator 12 comprises a transmission module 123, consisting either of 5 or a controller of a transmitter of the terminal 1 either directly an issuer. In the case of a controller, the transmission module 123 controls the transmission by the terminal 1 of the 2.dcv discovery request req provided by the discovery module 1212 to the interaction device 2a. In the case of a transmitter, the transmission module 123 transmits the 2.dcv discovery request req provided by the discovery module 1212 to the interaction device 2a.

In particular, the calibrator 12 comprises a reception module 124, constituted either by a controller of a receiver of the terminal 1 or directly by a receiver. In the case of a controller, the receiving module 124 retrieves the configuration information 4.cnf din received by the terminal 1 of the interaction device 2a and the supplied 5.cnf din to the discovery module 1212.

In the case of a receiver, the receiving module 124 receives the configuration information 4.cnf din from the interaction device 2a and the supplied 5.cnf din to the discovery module 1212. The discovery module 1212 records the 6.cnf din configuration information, especially in a learning database 1210.

The learning database 1210 is implemented either, as illustrated, in the learning module 121, either directly in the calibrator 12 (outside the learning module), or in the thin client device 13, or directly in the terminal 1 (outside the calibrator, the learning module, the thin client device).

In particular, the transmitter module 123 of the calibrator sends a data request 3.req to trigger the transmission of the configuration information 4.cnf din by the interaction device 2a. In particular, the learning module comprises a recorder 1211b configured to record 13. (v, dc), in association with a predefined calibration data for a specified interaction element as a function of a given manipulation, of data. position learning interaction v transmitted by the interaction device 2a following manipulation by a user U according to a notification 8.ntf of the learning module 121 requiring the given manipulation of the element of specified interaction of the interaction device 2a by the user U. The recorder 1211b notably performs its recording in the training database 1210. In particular, the learning module comprises a notification generator 1211 configured to generate 8.ntf notifications requesting the given manipulation of the specified interaction element 40 of the interaction device 2a by the user U. The notification 8.ntf e In particular, the receiving module 124 of the calibrator receives the transmission module 123 to a device configured to reproduce it, such as the thin client device 13. issue of this 9.ntf notification, learning interaction data 11. v. In particular, the transmitter module 123 of the calibrator sends a data request 10.req to trigger the transmission of the learning interaction data 11.v by the interaction device 2a. In particular, the learning module 121 comprises a dynamic learning module 1211 implementing in particular the recorder 1211b and, optionally, the notification generator 1211a. In particular, the processing module 120 of the calibrator comprises at least one elementary processing module 1201, 1202 performing a single operation on the interaction data 15 from the infringement device 2a as a function of previously learned calibration data. In particular, the processing module 120 receives the learned calibration data from the training database 1210. The processing module 120 searches, for example, the calibration data learned in the training database 1210 as a function of the interaction data received 22.di / c.

In particular, the processing module 120 comprises a selector 1203 configured to select the elementary processing module 1201 or 1202 to be activated according to the received interaction data 22.di / c.

In particular, the elementary processing module 1201 provides a calibrated interaction data equal to the calibration data item dic / c = dc. In particular, the elementary processing module 1202 provides a received interaction data-calibrated interaction data and the ratio of the stored calibration data to the position-learning interaction data for the data element. interaction, for example equal to the received interaction data multiplied by this ratio dic / c = di / c * dc (v) / dc (n). In particular, the calibrator 12 includes an interaction detector 125 receiving all the data 21.di / c from the interaction device 2a when the learning module is not activated. The interaction detector 125 transmits, to the processing module 120, the interaction data 22.di / c if it detects a variation of the interaction values indicating an interaction of the user. In particular, the transmission module 123 repeatedly transmits data requests 20.req when the learning module is not activated, triggering the recurrent transmission of data 21.di / c by the device. interaction 2a under these conditions.

In particular, an additional condition for recursive transmission of data requests 20.req is the execution of a content by the thin client device.

The invention also relates to a support. The information carrier may be any entity or device capable of storing at least one program according to the invention. For example, the medium may include storage means, such as a ROM, for example a CD ROM or a microelectronic circuit ROM or a magnetic recording means, for example a diskette or a hard disk.

On the other hand, the information medium may be a transmissible medium such as an electrical or optical signal which may be conveyed via an electrical or optical cable, by radio or by other means. The program according to the invention may in particular be downloaded to a network, particularly of the Internet type.

Alternatively, the information carrier may be an integrated circuit in which the program is embedded, the circuit being adapted to execute or to be used in the execution of the method in question.

In another implementation, the invention is implemented by means of software and / or hardware components. In this context, the term module can correspond to a software component or a hardware component as well. A software component corresponds to one or more computer programs, one or more subroutines of a program, or more generally to any element of a program or software capable of implementing a function or a function set as described below. A hardware component corresponds to any element of a hardware set (or hardware) capable of implementing a function or a set of functions.

Claims (15)

REVENDICATIONS1. A method of interaction of a user, by means of an interaction device, with multimedia content executed by a thin client, the interaction method comprising, following manipulation of the interaction device by a user interacting with the multimedia content, an interaction, the interaction transmitting, to the thin client, interaction data relating to the multimedia content, the interaction triggering a processing of the transmitted interaction data, based on previously learned calibration data: the calibrated interaction data relating to the multimedia content being provided to the thin client. 2. Interaction method according to the preceding claim, characterized in that the interaction method comprises, following a coupling of an interaction device with a terminal implementing the thin client by the user, a transmitting connection. connection data to the thin client, the connection triggering a learning process providing the learned calibration data. 3. Interaction method according to any one of the preceding claims, characterized in that the interaction method comprises, following manipulation by a user according to a notification of the learning process requiring a given manipulation of a specified interaction element of the interaction device, a position learning interaction data transmission triggering a recording of the position learning interaction data in association with a predefined calibration data item for the specified interaction according to the given manipulation. A program comprising program code instructions for executing the steps of the interaction method according to any one of the preceding claims when said program is executed by a processor. An interaction device allowing a user to interact with media content executed by a thin client, the interaction device having an enabled user interface following manipulation by a user interacting with the media content, the user interface transmitting interaction data relating to the multimedia content to the thin client, the user interface triggering a calibrator, the calibrator processing the transmitted interaction data based on previously learned calibration data: the calibrated interaction data relating to the content multimedia being provided to the thin client. 6. Interaction device according to the preceding claim characterized in that the interaction device is a joystick. A method of calibrating an interaction device with respect to a thin client configured to execute at least one media content with which a user can interact by means of the interaction device, characterized in that the calibration method comprises, to a manipulation of the interaction device by a user interacting with the multimedia content, a processing of the interaction data relating to the multimedia content transmitted by the interaction device according to previously learned calibration data, the processing providing calibrated interaction data relating to the multimedia content to the thin client. 8. Calibration method according to the preceding claim characterized in that the calibration method comprises a learning process recording, in association with a predefined calibration data 5 for a specified interaction element according to a given manipulation, position learning interaction data transmitted by the interaction device following manipulation by a user based on a notification of the learning method requiring the given manipulation of the specified interaction element of the device user interaction. 10 9. Calibration method according to any one of claims 7 or 8, characterized in that the processing comprises one of the following operations: - A calibrated interaction data is equal to a calibration data read in the recorded data as a function of the interaction data received, the received interaction data being searched for in the records and the associated recorded calibration data is read, - a calibrated interaction data is calculated so that the ratio of the interaction value calibrated of the interaction element corresponding to the received interaction data and the received interaction data is equivalent to that existing between the stored calibration data and the position learning interaction data for the element 20 interaction. Program comprising program code instructions for performing the steps of the calibration method according to any one of claims 7 to 9 when said program is executed by a processor. 11. A method of learning an interaction device with a thin client executing multimedia content, the learning method comprising at least one recording, in association with a predefined calibration data for an interaction element specified in function of a given manipulation of position learning interaction data transmitted by the interaction device following manipulation by a user according to a notification of the learning method requiring the given manipulation of the element specified interaction of the interaction device by the user. 12. Learning method according to the preceding claim, characterized in that the learning method comprises a configuration discovery of the interaction device receiving at least one value from the interaction device following a discovery request, the values to identify interaction elements of the interaction device. 35 13. Learning method according to one of claims 11 or 12 characterized in that the recording is performed for each of all the positions of each of the interaction elements of the interaction device. A program comprising program code instructions for performing the steps of the training method according to any one of claims 11 to 13 when said program is executed by a processor. 3034216 20 A communication terminal configured to be coupled to at least one interaction device, the communication terminal comprising: an interaction interface receiving data from an interaction device coupled to the communication terminal; 5 - A thin client device executing multimedia content; A calibrator implemented between the interaction interface and the thin client device, the calibrator comprising a processing of the interaction data relating to the received multimedia content according to previously learned calibration data, the processing providing calibrated interaction data; related to the multimedia content 10 to the thin client.