FR3080246A1 - METHOD OF PROCESSING RECEIVED COMMUNICATION AND EQUIPMENT THEREFOR - Google Patents

Abstract

The invention relates to a method for processing a communication received by a first equipment (110) of a user (U1) driving a vehicle (170), said communication being transmitted by a second device (120), said method being set implemented by a system (100) comprising the first equipment (110), said method comprising the following steps: • detection of a pipe of the vehicle (170) by the user (U1) of the first equipment (110), by analysis at least a first datum received from at least one first sensor positioned at the vehicle (170), • determining a degree of dangerousness related to the driving of the vehicle (170) by the user (U1), by analysis of at least one second data, • filtering the communication according to the degree of dangerousness.

Description

Invention background

The present invention relates to the field of telecommunications, and relates more particularly to a technique for processing a communication received by a mobile terminal from a user driving a vehicle.

The reception of a communication by a mobile terminal, when the user of the mobile terminal drives a vehicle, can have an impact on safety, since the notification of this reception diverts the attention of the user, who should be focused. on his conduct.

This is particularly true when your traffic conditions require special attention on the part of the user (for example in the event of a winding road, high speed, heavy traffic, maneuvering, etc.).

In addition, this risk exists even when the user uses a hands-free kit, and for any type of communication (call or message).

Document CN 106603833 describes a method of filtering a communication received by a mobile terminal from a user occupying a motor vehicle. In this document, when security conditions are not verified, any call received by a terminal 20 positioned inside the vehicle is automatically rejected.

This document therefore does not take into account specific situations in which a call received by a mobile terminal inside the vehicle should be notified to the user of the mobile terminal in real time. There is therefore a need to improve the accuracy of the filtering of communications received during a driving situation.

Summary of the invention

The present invention relates to a method of processing a communication received by a first device of a user driving a vehicle, the communication being transmitted by a second device, the method being implemented by a system comprising the first device, the process comprising the following steps:

• detection of driving of the vehicle by the user of the first item of equipment, by analysis of at least one first datum received from at least one first sensor positioned at the level of the vehicle, · determination of a degree of dangerousness linked to the driving of the vehicle by the user, by analysis of at least a second piece of data, • filtering of the communication according to the degree of dangerousness.

The method according to the invention makes it possible to improve the safety linked to a driving situation by filtering a communication received by the first equipment of the driver according to a degree of dangerousness. The detection of the driving of the vehicle by the user of the first equipment makes it possible not to reject a communication intended for a passenger of the vehicle, which improves the precision of the processing of the communications received in driving situation.

In a particular embodiment, said at least one first sensor is a sensor of the first equipment or of a third equipment, said first equipment or third equipment being attachable to the wrist of the user so that said at least one first sensor is able to obtain data relating to a circular movement around an axis of a steering wheel of the vehicle.

The equipment that can be attached to the wrist makes it possible to detect gestures by the user of the first equipment around the steering wheel, and thus makes it possible to accurately detect that the user of the first equipment is driving the vehicle.

In a particular embodiment, the determination step comprises the following substeps:

• obtaining at least two second altitude data of the vehicle, • analyzing said at least two second data so as to obtain a datum of unevenness of the traffic area on which the vehicle is traveling, said datum of elevation being taken into account to determine the degree of dangerousness.

Taking into account the unevenness of the taxiway improves the accuracy of the determination of the degree of dangerousness linked to the driving of the vehicle by the user, which further improves the accuracy of the processing of the received communication.

In a particular embodiment, the determination step comprises the following substeps:

• obtaining at least two second data relating to a movement of a steering wheel of the vehicle, • analysis of said at least two second data so as to obtain a percentage of variation of an angle of the steering wheel of the vehicle, said percentage being analyzed from so as to obtain a frequency of change of direction of said vehicle, said frequency being taken into account to determine the degree of dangerousness.

Taking into account the frequency of change of direction of the vehicle makes it possible to improve the precision of the determination of the degree of dangerousness linked to the driving of the vehicle by the user, which further improves the precision of the processing of the received communication. Indeed, this data makes it possible to detect a winding traffic lane.

In a particular embodiment, the determination step comprises the following substeps:

• obtaining at least two second vehicle speed data, • analyzing said at least two second speed data so as to obtain a percentage of vehicle speed variation, said percentage being taken into account to determine the degree of dangerousness.

Taking into account the speed of the vehicle makes it possible to improve the precision of the determination of the degree of dangerousness linked to the driving of the vehicle by the user, which further improves the precision of the processing of the received communication.

In a particular embodiment, the degree of dangerousness determined is one value among at least three values.

The degree of priority is thus determined more finely.

In a particular embodiment, the step of filtering the communication comprises blocking the communication when the degree of dangerousness is greater than or equal to a threshold value.

In a particular embodiment, the threshold value depends on the second device.

Taking the second device into account to determine the threshold value makes it possible, for the same degree of dangerousness, to block a first communication and to let through a second notification, more important than the first.

In a particular embodiment, the filtering step further comprises • a determination of a schedule for the next availability of the user based on said at least one second datum, and • a sending of a message to the second device, indicating that the user is not available and including the determined next availability schedule.

The user experience of the user of the second device is thus improved, this user being informed of the driving situation and of the end time of this situation.

In a particular embodiment, the step of determining a degree of dangerousness and the step of filtering are repeated at least once, the communication being blocked until the degree of dangerousness is less than said threshold value .

In a particular embodiment, the determination step comprises:

• the search for a prerecorded situation corresponding to a predefined degree of dangerousness, from said at least one driving datum obtained from said at least one second datum, and / or • the calculation of a weighted sum of a plurality of driving data obtained from said at least one second data, the result of said sum being taken into account for determining the degree of dangerousness.

The invention further relates to a first device capable of processing a communication received by said first device, said communication being transmitted by a second device, said first device comprising:

• a module for detecting the driving of a vehicle by a user of the first item of equipment, by analyzing at least one first datum received from at least one first sensor positioned at the level of the vehicle, • a module for determining a degree of dangerousness linked to the driving of the vehicle by the user, by analysis of at least one second datum, • a communication filtering module according to the degree of dangerousness.

In a particular embodiment, the different steps of the processing method according to the invention are determined by instructions from computer programs.

Consequently, the invention also relates to a computer program, on an information medium, this program comprising instructions adapted to the implementation of the steps of a processing method according to the invention.

This program can 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.

The invention also relates to an information medium readable by a computer, and comprising instructions of a computer program as mentioned above.

The information medium can be any entity or device capable of storing the program. For example, the support may include a storage means, such as a ROM, for example a CD ROM or a microelectronic circuit ROM, or also a magnetic recording means, for example a hard disk.

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

Alternatively, the information medium can be an integrated circuit in which the program is incorporated, the circuit being adapted to execute or to be used in the execution of the process in question.

Brief description of the drawings

Other characteristics and advantages of the present invention will emerge from the description given below, with reference to the appended drawings which illustrate an embodiment thereof devoid of any limiting character. In the figures:

- Figure 1 shows, schematically, a system capable of implementing a method of processing a communication according to an exemplary embodiment of the invention;

- Figure 2 shows, schematically, a first equipment of the system of Figure 1;

- Figure 3 shows, in the form of a flowchart, the main steps of a method of processing a communication, according to an exemplary embodiment of the invention.

Detailed description of several embodiments

FIG. 1 schematically represents a processing system 100 capable of implementing a method for processing a communication according to an exemplary embodiment of the invention.

The system 100 comprises a first device 110, capable of receiving a communication sent by a second device 120 via a first telecommunications network 130.

The system 100 may further comprise a third device 140 and / or a fourth device 150, the first device 110, the third device 140 and / or the fourth device 150 being able to communicate with each other via a second telecommunications network 160.

The first item of equipment 110 may be a mobile terminal such as a portable telephone, for example of the “smartphone” type, a digital tablet, or a personal computer. The first item of equipment 110 may alternatively be an autonomous connected object, such as an autonomous connected watch or an autonomous connected bracelet. The first device 110 can also be a fixed terminal, such as a computer on board a vehicle 170.

The first device 110 is able to be used by a user U1, this user U1 being for example the owner of the first device 110.

The third item of equipment 140 is typically a connected object, such as a connected watch or a connected bracelet.

The fourth device 150 is typically a fixed terminal, such as an on-board computer of the vehicle 170.

The first telecommunications network 130 is for example a long-range network, such as an Internet network, a WIFI network, or a fixed or mobile telephone network (of the 3G, 4G etc. type).

The second telecommunications network 160 is for example a short range network, such as a Bluetooth network or an NFC network.

The vehicle 170 may take the form of a motorized vehicle such as a motor vehicle, a truck, a bus or a two-wheeler, or may take the form of a bicycle, a train, a tram or still from a boat. This vehicle 170 may comprise one or more sensors, typically controlled by the fourth element 150 (for example a temperature sensor, a rain sensor and / or a light sensor).

As shown in Figure 2, the mobile terminal 110 has the conventional architecture of a computer. The mobile terminal 110 notably includes a processor 200, a read only memory 202 (of the “ROM” type), a rewritable non-volatile memory 204 (of the “EEPROM” or “Flash NAND” type for example), a volatile rewritable memory 206 10 ( "RAM" type), and a communication interface 208.

The read-only memory 202 of the mobile terminal 110 constitutes a recording medium in accordance with an exemplary embodiment of the invention, readable by the processor 200 and on which is recorded a computer program PI in accordance with an exemplary mode of realization of the invention. Alternatively, the computer program PI is stored in the rewritable non-volatile memory 204.

The computer program can allow the mobile terminal 110 to implement the processing method in accordance with an exemplary embodiment of the invention, or at least part of this method.

This PI computer program can thus define functional and software modules, configured to implement the steps of a processing method in accordance with an exemplary embodiment of the invention, or at least part of these steps. . These functional modules rely on or control the hardware elements 200, 202, 204, 206 and 208 of the first equipment 110 mentioned above. They can in particular here comprise a detection module, a determination module, a reception module and / or a filtering module. As a variant, one or more of these modules are defined by a computer program of the third device 140 and / or of the fourth device 150.

In addition, the first terminal 110 may include a first sensor taking the form of a gyroscopic sensor and / or an acceleration sensor, and / or a GPS or Galileo guidance means. As a variant, the first sensor and / or the guiding means are positioned at the level of the third device 140 and / or of the fourth device 150.

The third device 140 and / or the fourth device 150 may also have the conventional architecture of a computer, and may each then in particular comprise a processor, a read only memory (of “ROM” type), a rewritable non-volatile memory (of “EEPROM” or “Flash NAND” for example), a volatile rewritable memory 35 (of “RAM” type), and a communication interface.

Each read-only memory can constitute a recording medium in accordance with an exemplary embodiment of the invention, readable by the associated processor and on which a computer program is recorded in accordance with an exemplary embodiment of the invention . Alternatively, the computer program is stored in the associated rewritable non-volatile memory. The computer program can allow the implementation of at least part of the processing method in accordance with an exemplary embodiment of the invention.

The computer program can thus define functional and software modules, configured to implement part of the steps of a processing method in accordance with an exemplary embodiment of the invention. These functional modules rely on or control the hardware elements of the equipment 140, 150 associated mentioned above. They can include in particular here the detection module, the determination module and / or the filtering module.

FIG. 3 represents a method of processing a communication received by a first terminal from a user driving a vehicle.

The method can be implemented by a processing system, such as the processing system 100 described with reference to FIG. 1. It is thus considered that the user LU of the first equipment 110 drives the vehicle 170.

In a step E310, at least one first datum received from at least one first sensor positioned at the level of the vehicle 170 is analyzed by the detection module in order to detect driving of the vehicle 170 by the user U1 of the first equipment 110.

By "sensor positioned at vehicle level" is meant a sensor positioned inside vehicle 170 or on vehicle 170 during the implementation of step E310, typically a sensor of the first equipment 110, of the third equipment 140 or fourth equipment 150.

When the first device 110 is a mobile or fixed terminal, the first sensor is typically a sensor of the third device 140, said third device 140 being attachable to the wrist of the user LU, so that the first sensor is able to obtain data relating to a circular movement around an axis of a steering wheel of the vehicle 170. The third device 140 is paired with the first device 110 so that the third device 140 and the first device 110 can communicate with each other.

More specifically, the first sensor comprises an acceleration sensor, typically on three axes and / or a gyroscopic sensor, typically on three axes.

When the third device 140 is attached to the wrist of the user LU, the first sensor is able to obtain data relating to the movements of the arm of the user LU to which it is attached. Thus, the first sensor is able to obtain data relating to the circular movements of the arm around the axis of the directional steering wheel of the vehicle 170, typically carried out by the user U1 when he drives the vehicle 170.

The third device 140 can then analyze the data or data obtained by the first sensor in order to detect the driving of the vehicle 170 by the user Ul of the first device 110. More precisely, when the data obtained by the first sensor correspond to one or more circular movements around the axis of the steering wheel of the vehicle 170, the third device 140 detects that the user LU is driving the vehicle 170. If the third device 140 detects the driving of the vehicle 170 by the user Ul of the first device 110, the third device 140 sends the first device 110 a message indicating this detection.

As a variant, the third device 140 sends to the first device 110, via the second telecommunications network 160, the data obtained by the first sensor. The first device 110 then analyzes the data received in order to detect the driving of the vehicle 170 by the user Ul of the first device 110.

As a variant, when the first item of equipment 110 is a mobile or fixed terminal, the first sensor may be a camera positioned in the vehicle 170, so as to be able to obtain images of the user Ul instead of the driver of the vehicle 170.

The camera can then send the images obtained to the first device 110, the first device 110 then analyzing the images in order to detect the presence of the user Ul of the first device 110.

When the first device 110 is attachable to the wrist of the user Ul, and then typically takes the form of an autonomous connected watch or an autonomous connected bracelet, the first sensor is typically a sensor of the first device 110 capable of obtaining relative data to a circular movement around an axis of a steering wheel of the vehicle 170.

The detection of driving of the vehicle 170 by the user Ul is then carried out in the same manner as when the first sensor is the sensor of the third device 140, the first device 110 analyzing the data obtained.

In a step E320, at least one second datum SD is analyzed by the determination module in order to determine a degree of dangerousness DD linked to the driving of the vehicle 170 by the user Ul.

Step E320 is typically implemented after step E310, when it has been detected that the user Ul of the first equipment 110 drives the vehicle 170, and is typically implemented by the first equipment 110.

Step E320 can include a sub-step of obtaining E322 of one or more second SD data.

Each second SD data can be:

• a position of the vehicle 170, • a speed of the vehicle 170, • an altitude of the vehicle 170, • data relating to the path of the vehicle 170, • data relating to road traffic, • data relating to the weather conditions around the vehicle 170 , • data relating to a movement of the steering wheel of the vehicle 170, • data relating to the user LU, or • data relating to the road infrastructure.

Each of these data is typically obtained periodically.

The position of the vehicle 170, the altitude of the vehicle 170, the speed of the vehicle 170, the data relating to the path of the vehicle 170, or even the data relating to road traffic can be obtained by a GPS or Galileo guidance means of the first equipment. 110, third equipment 140 or fourth equipment 150.

The data relating to the weather conditions is typically the temperature, the rainfall, or even the brightness of an area in which the vehicle 170 travels. This data can typically be sent by a sensor positioned on the vehicle 170, which can be controlled by the fourth equipment 150,

The data relating to a movement of the steering wheel can be obtained by the acceleration sensor or the gyroscopic sensor of the first item of equipment 110 or of the third item of equipment 140.

The data relating to the user LU is typically walking data, supplied by the acceleration sensor or the gyroscopic sensor of the first equipment 110 or of the third equipment 140.

The data relating to the road infrastructure is typically recorded in a remote server, and can be technical and / or statistical data on the traffic lane on which the vehicle 170 travels or could travel, such as the type of lane, a rule predefined traffic, etc.

The type of lane is for example a lane comprising several sub-lanes on which the vehicles circulate in the same direction, a lane comprising two sub-lanes on which the vehicles circulate in the opposite direction, a lane leading to an intersection with another lane, a parking lot, parking space, etc.

The predefined traffic rules include the usual rules of the road code and / or predefined rules relating to the lane on which the vehicle 170 travels (for example the maximum authorized speed).

The first device 110 can typically obtain a data obtained or recorded by another device 140, 150 or a server by sending, via the second telecommunications network 160, a request to this other device 140, 150 or server requesting the sending of this given.

Step E320 can then include a sub-step E324 for analyzing the second data or SD data obtained by the first item of equipment 1 IG.

Several second SD data obtained are for example second altitude data of the vehicle 170, at several distinct times. These second SD data can be obtained in real time, typically periodically. These second data SD are analyzed so as to obtain an unevenness datum of the traffic lane on which the vehicle 170 travels, this unevenness datum being taken into account to determine the degree of dangerousness. The drop is typically calculated in real time.

Several second data SD obtained can be data relating to movements of the steering wheel of the vehicle 170, at several distinct times. These second SD data can be obtained in real time, typically periodically. These second data SD are analyzed so as to obtain a percentage of variation of an angle of the steering wheel of the vehicle 170, said percentage making it possible to obtain a frequency of change of direction of the vehicle 170, said frequency being taken into account to determine the degree of dangerousness. Such a frequency can indeed indicate a winding route requiring more attention, for example a mountain road. The frequency of change of direction of the vehicle 170 is typically calculated in real time.

For example, the data relating to the movements of the steering wheel are steering wheel angle values, obtained when they are greater than a threshold value for steering wheel angle. The steering wheel angle threshold value is determined so that when the angle value obtained is greater than the threshold value, the vehicle 170 is considered to have changed direction. The frequency of change of direction of the vehicle 170 is obtained by counting the number of changes of direction during a time interval comprising said distinct moments. The time interval is for example thirty minutes.

Several second SD data obtained can be, for example, second speed data of the vehicle 170, at several distinct times. These second SD data can be obtained in real time, typically periodically. These second data SD are analyzed so as to obtain a percentage of speed variation of the vehicle 170, this percentage being taken into account to determine the degree of dangerousness DD. The percentage of speed variation of the vehicle 170 is typically calculated in real time, for a time interval comprising said distinct moments. This percentage makes it possible to evaluate the regularity of the speed, an irregular speed indicating the need to frequently adapt the speed and thus requiring a high attention from the user LU.

The difference in elevation, the frequency of change of direction and the percentage of speed variation are hereinafter called driving data. Each second data item SD obtained in the sub-step E322 can also be a driving item.

In a sub-step E326 of step E320, the first item of equipment 110 searches, typically in its rewritable non-volatile memory 204, if the driving data or data obtained correspond to a prerecorded situation SP corresponding to a predefined degree of dangerousness DD.

If the driving data or data obtained actually correspond to a prerecorded situation SP, the degree of dangerousness DD determined in step E320 is equal to the predefined degree of dangerousness DD corresponding to the prerecorded situation SP.

One or more preregistered situations SP can indeed be recorded in the rewritable non-volatile memory 204, each prerecorded situation being recorded in correspondence with a predefined degree of dangerousness, typically in a correspondence table.

The prerecorded situation may include one or more conditions, each condition possibly being associated with a different driving data item, each condition typically being an interval to be respected for the value of the driving data item.

An example of a prerecorded SP situation, which may for example correspond to a maximum degree of dangerousness DD (typically equal to 4), may include the following conditions:

• the value of the speed of the vehicle 170 is greater than 50 kilometers: per hour, • the frequency of change of direction of the vehicle 170 is greater than or equal to a change of direction every three seconds, that is to say a frequency of 0.33 Hertz, which indicates that the traffic lane on which vehicle 170 travels is very winding, and • the value of the difference in level is more than 5%.

A prerecorded situation SP can for example correspond to a low degree of dangerousness DD (typically equal to 1), the situation possibly corresponding to the following conditions:

• the value of vehicle speed 170 is less than 10 kilometers per hour, • road traffic is blocked (traffic jam).

If the driving data or data obtained do not correspond to a prerecorded situation SP, the first item of equipment 110 calculates, in a sub-step E328, the degree of dangerousness DD from the driving data or data. A weighted sum of driving data can for example be calculated, the result of the sum being taken into account for determining the degree of dangerousness DD.

The driving data summed up is typically the gradient, the frequency of change of direction, the speed and the percentage of speed variation. The coefficients of each driving data can be predefined by the manufacturer or by the user

Ul, For example, the frequency of direction change and the speed may have a greater coefficient than the other driving data or data.

When the speed of the vehicle 170 is zero, data relating to the road infrastructure is typically taken into account in order to determine the dangerousness of the situation. Indeed, stopping vehicle 170 at an intersection requires increased attention from the user Ul and should therefore be associated with a high degree of dangerousness DD, while stopping vehicle 170 in a traffic jam requires less attention to user Ul, and should therefore be associated with a lower degree of dangerousness DD.

The degree of dangerousness DD determined in step E320 is typically one value among at least three values. For example, the degree of dangerousness DD can take 5 values, typically, 0.1, 2, 3 or 4.

Step E320 can be repeated one or more times, so as to update the degree of dangerousness DD. The step E320 can for example be repeated, typically periodically, until a second data item SD indicating the end of the driving of the vehicle 170 by the user Ul is obtained in the sub-step E322, so as to allow the filtering of communications as long as the user Ul drives the vehicle 170.

The second data SD indicating the end of the driving of the vehicle 170 by the user Ul is typically a data of walking by the user Ul. When a second data SD indicating the end of the driving of the vehicle 170 by the user UI is obtained, the first device 110 can send, to each second device 120 which has sent a communication that was blocked in step E330 described below, a message indicating that the user UI is now available.

As a variant, when the vehicle 170 is a vehicle equipped with an autonomous driving mode, the step E320 can be repeated, typically periodically, until the autonomous driving mode is implemented.

In a step E330, a COM communication sent by the second device 120 is received by the reception module of the first device 110. This step E330 is implemented after step E310, and can be implemented before step E320 or after at least one iteration of step E320.

COM communication is typically a phone call or message, such as email, SMS or MMS.

When step E330 is implemented before step E320, the reception of the COM communication can be an event triggering the first implementation of step E320.

After having received the COM communication, the filtering module of the first equipment 110 filters the COM communication according to the degree of dangerousness DD (step E340).

The filtering step comprises a sub-step E342 for comparing the degree of dangerousness DD obtained in step E320 with a threshold value VDD of degree of dangerousness. If the degree of dangerousness DD is greater than and / or equal to the threshold value VDD, the COM communication received is blocked.

The first item of equipment 110 may then not notify the user U1 of the reception of the COM communication.

More precisely, when the COM communication is a call, the first device 110 can reject or put the call on hold, and may not notify the user LU of the reception of the call.

When the COM communication is a message, such as an electronic mail, an SMS or an MMS, the first device 110 may not notify the user LU of the reception of the message.

As a variant, the first item of equipment 110 can visually notify the user U1 of the reception of the COM communication, but not notify it acoustically.

The first device 110 can send, in a sub-step E344 and via the first telecommunications network 130, a message M1 to the second device 120 transmitting the COM communication, so as to notify the user of the second device 120 that the COM communication cannot be notified at the moment to the user LU of the first device 110,

In addition, a schedule for the next availability of the user LU can be determined by using at least one second data item SD obtained in the sub-step E322, said second item of data SD typically being the item relating to the journey of the vehicle 170.

The next availability schedule of the user U1 is then sent to the second device 120, typically via the message M1 indicating that the COM communication cannot be transmitted at the moment.

If the degree of dangerousness DD is less than the threshold value, the COM communication received is accepted. The first item of equipment 110 can then notify the user LU of the reception of the communication COM, in a sub-step E346.

The threshold value of danger level VDD can be predefined by the user Ul. In addition, the threshold value of degree of dangerousness VDD can depend on the second equipment 120. Several threshold values of degree of dangerousness VDD can thus be defined, which allows, for the same value of degree of dangerousness VDD, to block a COM communication sent by a second device, and to accept another COM communication sent by another second device.

When the COM communication is blocked by the first device 110, the determination step E320 and the filtering step E340 can be repeated at least once, the COM communication being blocked as long as the degree of dangerousness DD updated is greater than or equal at said threshold value. When the degree of dangerousness DD updated is less than said threshold value, the first device 110 lets COM communication pass.

In addition, step E330 can be reiterated, a new communication being received on each reiteration. Step E340 and possibly step E320 can then also be repeated.

Claims (14)

REVENDIÇAIIQ.NS 1. Method for processing a communication (COM) received by a first device 5 (110) of a user (Ul) driving a vehicle (170), said communication being transmitted by a second device (120), said method being implemented by a system (100) comprising the first device (110), said method comprising the following steps: • detection (E310) of driving the vehicle (170) by the user (Ul) of the first item of equipment (110), by analysis of at least one first datum received from at least one 10 first sensor positioned at vehicle level (170), • determination (E320) of a degree of dangerousness (DD) linked to the driving of the vehicle (170) by the user (Ul), by analysis of at least one second data (SD), • filtering (E340) of the communication (COM) according to the degree of dangerousness (DD). 15 2. Treatment method according to claim 1, wherein said at least a first sensor is a sensor of the first equipment (110) or a third equipment (140), said first equipment (110) or third equipment (140) being attachable to the wrist of the user (Ul) so that said at least one first sensor is capable of obtaining data relating to a circular movement around an axis of a steering wheel of the vehicle (170). 3. Treatment method according to claim 1 or 2, in which the determining step (E320) comprises the following substeps: • obtaining (E322) at least two second altitude data (SD) of the vehicle (170), 25 · analysis (E324) of said at least two second data (SD) so as to obtain an unevenness data of the traffic lane on which the vehicle is traveling (170), said unevenness data being taken into account to determine the degree of dangerousness (DD). 30 4. Treatment method according to any one of claims 1 to 3, in which the determining step comprises the following substeps: • obtaining (E322) at least two second data (SD) relating to a movement of a steering wheel of the vehicle (170), • analysis (E324) of said at least two second data (SD) so as to obtain a 35 percentage change in a steering wheel angle of the vehicle (170), said percentage being analyzed so as to obtain a frequency of change of direction of said vehicle (170), said frequency being taken into account to determine the degree of dangerousness (DD ). 5. Treatment method according to any one of claims 1 to 4, in which the determining step comprises the following substeps: • obtaining (E322) at least two second data (SD) of vehicle speed (170), • analysis (E324) of said at least two second data (SD) of speed so as to obtain a percentage of speed variation of the vehicle (170), said percentage being taken into account to determine the degree of dangerousness (DD). 6. Treatment method according to any one of claims 1 to 5, in which the determined degree of dangerousness (DD) is one of at least three predefined values. 7. Processing method according to any one of claims 1 to 6, in which the step of filtering (E340) of the communication comprises blocking the communication when the degree of dangerousness (DD) is greater than or equal to a value threshold. 8. A processing method according to claim 7, in which the threshold value depends on the second equipment (120). 9. A processing method according to claim 7 or 8, in which the filtering step (E340) further comprises • a determination of a schedule for the next availability of the user (Ul) based on said at least one second datum (SD), and • a sending (E344) of a message (Ml) to the second device (120), indicating that the user (Ul) is not available and comprising the determined next availability time. 10. Treatment method according to any one of claims 7 to 9, in which the step of determining a degree of dangerousness (E320) and the filtering step (E340) are repeated at least once, the communication being blocked until the degree of danger (DD) is less than said threshold value. 11. Treatment method according to any one of claims 1 to 10, in which the determining step (E320) comprises: The search (E326) for a pre-recorded situation (SP) corresponding to a predefined degree of dangerousness (DD), from at least one driving datum obtained from said at least one second datum (SD), and / or • the calculation (E328) of a weighted sum of a plurality of driving data 5 obtained from said at least one second datum, the result of said sum being taken into account for the determination of the degree of dangerousness (DD). 12. First device (110) capable of processing a communication (COM) received by said first device, said communication being transmitted by a second device (120), 10 said first equipment comprising: • a module for detecting the driving of a vehicle (170) by a user (Ul) of the first equipment, by analysis of at least one first datum received from at least one first sensor positioned at the level of the vehicle (170 ), • a module for determining a degree of dangerousness (DD) linked to the conduct of the 15 vehicle (170) by the user (Ul), by analysis of at least one second datum (SD), • a communication filtering module (COM) according to the degree of dangerousness (DD). 13. Computer program (PI) comprising instructions for the execution of the steps of the processing method according to any one of claims 1 to 11 when said program is executed by a computer. 14. Computer-readable recording medium on which a computer program (PI) is recorded comprising instructions for carrying out the steps of the 25 treatment method according to any one of claims 1 to 11.