ASSISTANCE SYSTEM FOR SELECTING BEDDING OR SEATING EQUIPMENT

Abstract

The system (10) for assisting a user in choosing bedding or seating equipment from a range of possible bedding or seating equipment is characterized in that it comprises: - a test bedding or seating equipment (12), equipped with sensors (24) and intended to receive the user in order to take a morphological imprint (M) of that user; - an information processing unit (14), adapted to select, from the morphological imprint taken (M) of the user, from the range of possible bedding or seating equipment, at least one bedding or seating equipment adapted to the user's morphology; and - means (16) forming a human / machine interface, to present to the user the selected bedding or seating equipment.

Description

System to assist in the selection of bedding or seating equipment The present invention relates to a system to assist in the selection of bedding or seating equipment for a user, from a range of possible bedding or seating equipment. Such a system is designed to help users choose a seat cushion, mattress, and / or bed base by recommending the equipment best suited to their body type. Such systems are already known. For example, the system marketed by XSENSOR8 allows users to test different bedding options, taking a body shape imprint of the user on each item. After comparing these imprints, the system indicates which bedding is best suited to the user's body. However, such a system requires lengthy testing sessions for the user and also limits the choice of equipment to only those items that have been tested. One objective of the invention is to provide a system for assisting in the selection of bedding or seating equipment that is quick to implement. To this end, the invention relates to a system for assisting in the selection of bedding or seating equipment of the aforementioned type, characterized in that it comprises: a test bedding or seating device, equipped with sensors and designed to receive the user in order to take a morphological impression of that user; an information processing unit, adapted to select, from the morphological impression taken of the user, from the range of possible bedding or seating equipment, at least one bedding or seating device adapted to the user's morphology; and means forming a human-machine interface, for presenting to the user the selected bedding or seating device(s). The system according to the invention may include one or more of the following features,taken individually or in any technically feasible combination(s): - the information processing unit is connected to a pre-established database storing a plurality of reference morphological impressions and, for each reference morphological impression, at least one associated optimal bedding or seating equipment, and the information processing unit includes means for comparing the user's recorded morphological impression with each reference morphological impression, to determine at least one reference morphological impression with which the user's recorded morphological impression is similar, and to select a corresponding optimal bedding or seating equipment; - the information processing unit is adapted to: o determine several reference morphological impressions with which the user's recorded morphological impression is similar, o determine,For each of these reference morphological impressions, a degree of similarity with the user's recorded morphological impression is determined; for at least some of the optimal equipment associated with the reference morphological impressions, a degree of user comfort for each optimal piece of equipment is determined based on the degree of similarity of the reference morphological impression associated with said optimal equipment; and the optimal equipment or equipment with the highest degree of user comfort is selected. The degree of user comfort of an optimal piece of equipment is a function of a reference comfort degree associated with the reference morphological impression of the optimal equipment. The human-machine interface devices are adapted to present, for the selected piece(s) of equipment, data representative of the equipment's degree of user comfort.- based on the user's recorded morphological footprint; - the data representing the degree of user comfort is expressed as a comfort percentage; - the equipment consists of a seat cushion; - the equipment consists of a bed base and / or a mattress; - the sensors are pressure sensors distributed in a layer within or on the test equipment; - the human-machine interface includes means for selecting a category of equipment from the range of possible bedding or seating equipment.to restrict the selection of bedding or seating equipment by the information processing unit to only those items in the selected category; - the human-machine interface means include means for initiating the generation by the information processing unit of manufacturing orders for equipment adapted to the user's morphology; - the information processing unit is connected to a pre-established database storing pre-established blank manufacturing order templates, in order to allow the automatic generation of manufacturing orders for equipment customized by the information processing unit.Each personalized piece of equipment is specific to a recorded morphological imprint; - the database(s) is hosted on a server remote from the rest of the system and connected to it by means of information transmission. Other features and advantages will become apparent upon reading the following description, given solely by way of example and with reference to the attached drawings, in which: Figure 1 is a schematic representation of a bedding equipment selection assistance system according to the invention, Figure 2 is a matrix showing a classification of comfort levels of bedding equipment, based on the bedding equipment and the reference morphological imprints to which they are associated, Figure 3 is a diagram illustrating the links between certain information processed by an information processing unit of the system of Figure 1,Figure 4 is a schematic view of a grid of a test element of the system of Figure 1, with a recorded morphological imprint superimposed on said grid. Figure 5 is a schematic view of a touchscreen tablet of the assistance system 20 of Figure 1, with a touchscreen interface of the tablet displaying a first screen. Figure 6 is a view similar to Figure 4, with the touchscreen interface displaying a second screen. Figure 7 is a block diagram illustrating a first method implemented by the system of Figure 1, and Figure 8 is a block diagram illustrating a second method implemented by the system of Figure 1. The bedding equipment selection assistance system 10 according to the invention, shown in Figure 1, comprises a test bedding equipment 12, an information processing unit 30, 14,and a touchscreen tablet 16 forming a human-machine interface. The assistance system 10 is adapted to help a user choose a bedding set E from a range G of possible bedding sets Ek (with k between 1 and m, m being the number of possible bedding sets Ek in the range G). The test bedding set 12 comprises a bed base 20 and a mattress 22. It is 35 equipped with pressure sensors 24 distributed in a matrix pattern. The said tablecloth is placed on the bedding equipment, for example above the mattress 15 22, or within the bedding equipment, for example between the bed base 20 and the mattress 22. The mattress 22 defines a sleeping or seating surface 25 of the test equipment 12. The test bedding equipment 12 is intended to accommodate the user on its sleeping or seating surface 25 in order to record a morphological imprint M of this user,using pressure sensors 24. The G range preferably includes Ek bedding equipment consisting of a set comprising a bed base and a mattress, such as test equipment 12. Alternatively, the range includes bedding equipment consisting of mattresses alone or bed bases alone. In particular, the G range comprises several categories C (with j ranging from 1 to p, p being the number of categories C distinct from the G range) of Ek bedding equipment. Typically, a first category C of Ek bedding equipment consists of Ek equipment including a spring mattress, a second category C2 of Ek bedding equipment consists of Ek equipment including a foam mattress, and a third category C3 of Ek bedding equipment consists of Ek equipment including a mixed foam and latex mattress. The C0 category is the G range. Alternatively, subcategories of Ek bedding equipment are formed, depending on whether each Ek piece of equipment includes a bed base or not. The information processing unit 14 is typically a computer.It is adapted to select, from the recorded morphological imprint M, from the range G of possible bedding equipment, bedding equipment Ek adapted to the user's morphology. To this end, the information processing unit 14 is connected to a pre-established database 30 storing a plurality of reference morphological imprints Mo,; (with i between 1 and n, n being the number of reference morphological imprints Mo,;) and, for each reference morphological imprint Mo,;, optimal bedding or seating equipment EoiJ associated with the reference morphological imprint Mo,; and a category C;. Each reference morphological imprint Mo,; consists of a morphological imprint of a reference individual on the test bedding equipment 12. At least two reference morphological imprints Mo,; correspond to different reference individuals.Preferably, reference morphological imprints Mo,; correspond to different positions (e.g., on the stomach, on the back, or on the side) of the same reference individual on the test equipment. It should be noted that a reference individual is an individual with predetermined characteristics, particularly in terms of weight and height, representative of certain segments of the population. To obtain a set of reference morphological footprints Mo,; relatively representative of the entire population, it is preferable that the database include reference morphological footprints Mo,; corresponding to the morphological footprints, each time in two different positions, of at least four male reference individuals and at least four female reference individuals, i.e., a total of at least sixteen reference morphological footprints Mo,;. Each optimal equipment EoiJ associated with a reference morphological footprint Mo,; was determined upstream, during the creation of database 30, by tests carried out by the reference individuals on the equipment Ek from the G range of bedding equipment.As illustrated in Figures 2 and 3, a reference comfort level DCo,k for each piece of equipment Ek in the G range, for each reference individual in each position, was objectively determined by taking a body impression of the reference individual in said position on said piece of equipment Ek. ​​Each reference comfort level DCo,k for a piece of equipment Ek is thus associated with the reference body impression Mo,k corresponding to the same reference individual and the same position. The determination of such a comfort level for bedding equipment by means of a body impression of an individual on the equipment is known in itself and will not be detailed here. Each reference comfort level DCo,k is, for example, expressed as a comfort percentage.In the example shown in Figure 2, the reference comfort degrees DCo,;,k are classified in a matrix 100, with each reference comfort degree DCo,;,k of a piece of equipment Ek being placed in the 0th column of the matrix 100, and each reference comfort degree DCo,;,k associated with a reference morphological footprint Mo,; being classified in the i-th row of the matrix 100. As can be seen in Figure 3, each optimal piece of equipment EoiJ associated with a reference footprint Mo,; was then determined to be the piece of equipment Ek of a predetermined category C; exhibiting the highest reference comfort degree DCo,;,k, associated with the reference footprint Mo,;. Returning to Figure 1, the database 30 is preferably hosted on a server 31 remote from the rest of the system 10, and connected to it by information transmission means 32, for example, the Internet.Alternatively, database 30 is hosted in a memory of information processing unit 14. Furthermore, the information processing unit 14 includes means 33 for communicating with the pressure sensors 24, means 34 for comparing the user's recorded morphological imprint M with each reference morphological imprint M0, means 36 for communicating with the touchscreen tablet 16, and means 38 for communicating with remote servers. The communication means 33 are, for example, formed by wireless radio, Bluetooth, or internet transmission means, or by a serial port of the information processing unit 14, to which a serial cable connected to the sensors 24 is attached. The comparison means 34 are typically formed by the interaction between an information processing computer program, stored in a memory of the information processing unit 14, and the processor of the information processing unit 14, which is adapted to execute said computer program.The comparison means 34 are adapted to compare the recorded morphological imprint M with each reference morphological imprint Mo, stored in the database 30, so as to define reference morphological imprints Mo, with which the recorded morphological imprint M shares similarities. As illustrated in Figure 3, the comparison means 34 are adapted to determine, for each reference morphological imprint Mo, a degree of similarity DS with the recorded imprint M, representative of the number of similarities between the reference morphological imprint Mo, and the recorded imprint M. Each degree of similarity DS is, for example, expressed as a percentage of similarity. The comparison means 34 are also adapted to determine, for each optimal bedding set Eoij of a predetermined category C, a user comfort level DCu of the set.As illustrated in Figure 3, each degree of user comfort DCu of an optimal bedding equipment EoiJ is a function of the degree of similarity DS; of the reference footprint Mo,; associated with the optimal equipment EoiJ, and of the degree of reference comfort DCo,;,k, associated with the reference footprint Mo,;, of the optimal equipment EoiJ. Each degree of user comfort DCu of an optimal bedding set EoiJ is, for example, a product of the degree of similarity DS of the reference footprint Mo, associated with the optimal set EoiJ, and the degree of reference comfort DCo,,k, associated with the reference footprint Mo, of the optimal set EoiJ. Alternatively, the degree of user comfort DCu of an optimal set Eoij is a function solely of the degree of similarity DS of the morphological footprint Mo,. Comparison methods 34 are also suitable for selecting optimal bedding equipment EoiJ from category C; predetermined, exhibiting the highest degrees of user comfort DCu. In the following, the selected bedding equipment will be designated by the reference Es. Returning to Figure 1, the communication means 36 are preferably, as shown, wireless communication means, for example, of the Wi-Fi type. Alternatively, they include serial, USB, VGA, and / or HDMI ports. The communication means 38 are typically formed by an Ethernet port of the information processing unit 14. They are preferably connected to the information transmission means 32. The information processing unit 14 is also suitable for generating manufacturing orders O for customized bedding equipment Ep not belonging to the G range.For this purpose, the information processing unit 14 is connected to a pre-established database 40 for storing pre-established blank models Mv; manufacturing order templates, and includes means 42 for automatically generating manufacturing orders O from the blank models Mv;, and means 44 for transmitting manufacturing orders O to a manufacturing unit 46 for custom bedding equipment. The database 40 is preferably hosted on a server 48 located remotely from the rest of the system 10, and connected to it by the information transmission means 32. Alternatively, the servers 31 and 48 are combined. The automatic generation means 42 are typically formed by the cooperation between a computer program for information processing, stored in a memory of the information processing unit 14, and the processor of the information processing unit 14, which is adapted to execute said computer program. The automatic generation means 42 are adapted to retrieve, from the database 40, a blank model Mv; specific to a category C; of selected bedding equipment, and to complete said blank model Mv; according to the recorded footprint M, so as to generate a manufacturing order O for a customized bedding equipment Ep.In more detail, the automatic generation means 42 are adapted to determine, based on the selected category C, a grid Q of the test equipment 12 delimiting a plurality of Rh regions of the test equipment 12 (with h equal to 1 to I, where I is the number of Rh regions delimited by the grid Q). As can be seen in Figure 4, the grid Q covers the entire sleeping or sitting surface 25 of the test equipment 12; that is, the Rh regions taken together cover the entire sleeping or sitting surface 25. In the example shown, each Rh region is square. The term "grid," however, is to be understood broadly as delimiting regions of various shapes and not necessarily limited to squares or rhombuses.The automatic generation means 42 are also adapted to determine, from the measured footprint M, an average pressure PM,h exerted by the user on each region Rh of the test equipment 12, and to determine, based on each average pressure PM,h, a manufacturing instruction Ih for a zone Zh of the custom equipment Ep. Each zone Zh of the custom equipment Ep corresponds to a region Rh of the test equipment 12. The Zh zones taken together constitute the custom element Ep. Preferably, the manufacturing instructions Ih depend on the selected category C. Each manufacturing instruction Ih is, for example, information on foam density in zone Zh when the selected category C is "foam mattress", or information on the spring model to be placed in zone Zh when the selected category C is "spring mattress".Alternatively, the manufacturing instructions Ih are independent of the selected category C, and each instruction is a hardness instruction for zone Zh of the customized equipment Ep. The manufacturing unit 46 is then adapted to determine, based on each hardness instruction Ih, the foam density or spring model to be placed in zone Zh. The automatic generation means 42 are thus adapted to populate the blank model Mv with the manufacturing instructions Ih and possibly with other information, such as the date and user contact details, to generate the manufacturing order O, and to transmit the manufacturing order O to the manufacturing unit 46 via the transmission means 44. The transmission means 44 are, for example, an Ethernet port of the information processing unit 14, connected, for example, to the Internet.The manufacturing unit 46 is adapted to manufacture the customized element Ep according to the information contained in the manufacturing order O, and in particular to manufacture each zone Zh of the element Ep according to the information contained in a manufacturing instruction Ih. Returning to Figure 1, the touchscreen tablet 16 includes means 50 for communicating with the processing unit 14, typically wireless communication means, for example, Wi-Fi, and a touchscreen interface 52. As shown in Figure 4, the touchscreen interface 52 is adapted to display a ranking 54 of the bedding equipment Es selected by the information processing unit 14. Preferably, the touchscreen interface 52 is also adapted to display, for each selected bedding equipment Es, a data point 56 representing the user comfort level DCu of each piece of equipment Es. In the example shown, the touchscreen interface 52 is further adapted to display the recorded body shape M. Preferably, the selected bedding equipment Es is ranked according to its respective user comfort level DCu.The degree of user comfort DCu is expressed, for example, as a percentage, or as a histogram. The tablet 16 also includes means 58 for selecting a category C of bedding equipment, to restrict the selection of bedding equipment by the information processing unit 14 to only the equipment Ek of the selected category C, and / or to select the category C of the custom bedding item Ep to be manufactured. Selecting a category C is done, for example, by tapping an icon 58a, 58b, or 58c displayed by the touch interface 52 and representing category C. The tablet 16 also includes means 60 for choosing a bedding item E from among the selected bedding items Es, for example, by tapping an icon 60a or 60b representing one of the selected bedding items Es, and means 62 for initiating a purchase order for the selected bedding item E, for example, by tapping a purchase order button displayed on the interface 52.The tablet 16 also includes means 64 for launching the generation by the information processing unit 14 of a manufacturing order O for a personalized bedding equipment Ep of category C; selected, for example by tapping a manufacturing order launch button displayed on the interface 52. As seen in Figure 5, the tablet 16 also has means 66 for launching a morphological footprint M scan of the user, for example by tapping a morphological footprint launch button displayed on the interface 52. Alternatively, other means besides the touchscreen tablet 16 form the human-machine interface, such as a screen and keyboard connected to the information processing unit 14. A method 200 for assisting in the selection of Ek bedding equipment from the G range, implemented by the system 10, will now be described with reference to Figure 7. In an initial step S00 of the method 200, the system 10 is waiting for the user. The touchscreen interface 52 then displays a screen similar to that shown in Figure 5, and the rest of the system 10 is idle. When the means 66 for initiating a measurement of the user's morphological footprint M are activated, a first step S10 of the method 200 is triggered. In the first step S10, the system 10 performs a measurement of the user's morphological footprint M.For this purpose, each pressure recorded by each sensor 24 is transmitted to the information processing unit 14, which processes this data in order to establish the recorded morphological imprint M of the user. Then, process 200 proceeds to a second step S20 of comparing the measured footprint M with each reference footprint Mo, stored in database 32. This second step S20 includes a first substep S21 of defining the degree of similarity DS of each reference footprint Mo, with the measured footprint M, followed by a second substep S22 of determining the degree of user comfort DCu of the optimal equipment Eoij, associated with each reference footprint Mo, of a predetermined category C. Preferably, said predetermined category C is by default category Co. Then, process 200 proceeds to a third step S30 of selecting and presenting bedding equipment Es adapted to the user's morphology. This third step S30 includes a first substep S31 of selecting the optimal bedding equipment EoiJ exhibiting the highest degrees of user comfort DCu.Information processing unit 14 selects a predetermined number of bedding items EoiJ, for example, three items, and preferably fewer than ten items. This first substep S31 is followed by a second substep S32 presenting the selected bedding items Es. Preferably, the user comfort level DCu of each selected bedding item Es is also presented. Then process 200 moves to a step S40 of waiting for a choice from the user. In a first case A, the user chooses to order one E of the selected bedding equipment Es by activating means 60 and 62. The process 200 then proceeds to a fifth step S50 of generating an order for the chosen equipment E, then returns to the initial step S00. In a second case B, the user chooses to limit themselves to only the Ek equipment of category C. After activation of a means 58 for selecting category Cj, the process 200 returns to the second substep S22 of the second step S20. In a third case C, the user chooses not to order one of the selected bedding items Es, and the process 200 returns directly to the initial step S00. This return to the initial step S00 occurs after a predetermined time following the start of step S40, or by activating a system reset device 68 (Figure 5). Thanks to the invention, a user can thus quickly and easily choose bedding suited to their body type, without having to resort to a long and tedious testing session of different bedding items. In addition, the user has access to a wide range of equipment, although it is not possible for them to test it all directly.This point is particularly advantageous for the seller, who thus does not need to have a copy of each model in the range in his store, which allows him to make significant space savings. Furthermore, choosing a category of equipment allows the user to tailor the selection to their personal preferences. A process 300 for generating a manufacturing order O for a customized bedding set Ep, implemented by the system 10, will now be described, with reference to Figure 8. In an initial step S100 of the process 300, the system 10 is waiting for the user. The touchscreen interface 52 then displays a screen similar to the one shown in Figure 5, and the rest of the system 10 is idle. When the means 66 for initiating a morphological measurement M of the user are activated, a first step S110 of the process 300 is triggered. In the first step S110, the system 10 performs a morphological measurement M of the user.To this end, each pressure reading taken by each sensor 24 is transmitted to the information processing unit 14, which processes this data to establish the recorded morphological imprint M of the user. Then the process 300 proceeds to a second stage S120 of waiting for the user. 12 In a first case A', the user selects a category C of equipment by activating a means 58 for selecting category C. The process 300 then proceeds to a third step S130 of waiting for the user. In a second case B', the user does not activate any of the means 58 for selecting a category C. The process 300 then returns to the initial step S100, either after a predetermined time following the start of the second step S120, or by actuation of the system reset device 68. During the third step 130 of waiting for the user, the system 10 is waiting for the user to initiate the generation of a manufacturing order for a customized piece of equipment. In a first case A", the user proceeds to launch the generation of the manufacturing order O for a customized equipment Ep of category C; selected by activating the means 64 for launching the generation of a manufacturing order.Process 300 then proceeds to a fourth step S140, which automatically generates the manufacturing order O. In a second case B, the user does not activate the means 64 for initiating the generation of a manufacturing order. Process 300 then returns to the initial step S100, either after a predetermined time following the start of the third step S130, or by activating the system reset device 68. The automatic generation step S140 of the manufacturing order O comprises a plurality of sub-steps S141, S142, S143, S144, S145. In a first sub-step S141, the information processing unit 14 retrieves the blank model Mv; associated with the category C; selected from the database 40. In a second substep S142, the information processing unit 14 determines, according to the selected category C, a grid Q of the test equipment 12. Then, in a third substep S143, the information processing unit 14 determines, for each region Rh delimited by the grid Q, an average pressure PM,h exerted by the user on said region Rh of the test equipment 12. To do this, the information processing unit 14 determines, by means of the recorded imprint M, a pressure measured by each sensor 24 within said region Rh, and calculates the average pressure PM,h as the average of the measured pressures. In a fourth substep S144, the information processing unit 14 determines the manufacturing instructions Ih based on the average pressures PM,h. Finally, in a fourth substep S145, the information processing unit 14 completes the blank model Mv with the manufacturing instructions Ih, so as to obtain the manufacturing order O. Once the fourth step S140 is completed, the process 300 proceeds to a fifth step S150, which transmits the manufacturing order O to the manufacturing unit 46. Then the process returns to the initial step S100. It is understood that, thanks to the system according to the invention, it is possible to generate a manufacturing order to produce a personalized bedding item that is specifically optimized for the user's body shape. This allows demanding users to have custom-made equipment. Furthermore, thanks to the automation of the system, the manufacturing costs of the personalized equipment are reduced.Finally, the system is adapted to generating manufacturing orders for equipment of different categories, allowing it to be tailored to the user's personal preferences. In the description given above, system 10 is adapted to selecting bedding equipment and generating manufacturing orders for bedding equipment. However, the invention also covers systems similar to system 10 and adapted to selecting seating equipment and generating manufacturing orders for seating equipment, such as seat cushions, with the test bedding equipment 12 being replaced by test seating equipment, and the database 30 being modified accordingly. The invention also covers systems limited to the function of selecting equipment from a range of equipment or generating manufacturing orders for customized equipment.Finally, the system according to the invention does not necessarily include means for selecting a category of equipment.

Claims

14 DEMANDS 1.- System (10) for assisting in the selection of bedding or seating equipment (E) for a user, from a range (G) of possible bedding or seating equipment (Ek), characterized in that it comprises: - a test bedding or seating equipment (12), equipped with sensors (24) and intended to receive the user in order to take a morphological imprint (M) of that user; - an information processing unit (14), adapted to select, from the user's recorded morphological footprint (M), from the range (G) of possible bedding or seating equipment (Ek), at least one bedding or seating equipment (Es) adapted to the user's morphology; and - means (16) forming a human / machine interface, to present to the user the selected bedding or seating equipment (Es).

2. System (10) according to claim 1, characterized in that the information processing unit (14) is connected to a pre-established database (30) for storing a plurality of reference morphological impressions (Mo i) and, for each reference morphological impression (Moi), at least one associated optimal bedding or seating equipment (EOij), and in that the information processing unit (14) includes means for comparing (34) the user's recorded morphological impression (M) with each reference morphological impression (Moi), to determine at least one reference morphological impression (Moi) with which the user's recorded morphological impression (M) has similarities, and to select a corresponding optimal bedding or seating equipment (EOij).

3. System (10) according to claim 2, characterized in that the information processing unit (14) is adapted for: - to determine several reference morphological footprints (Me) with which the user's recorded morphological footprint (M) presents similarities, - determine, for each of these reference morphological imprints (Moj), a degree of similarity (DS) with the recorded morphological imprint (M) of the user, - determine, for at least some of the optimal equipment (EOij) associated with the reference morphological impressions (Moi), a degree of user comfort (DCu) for each optimal equipment (EOij), as a function of the degree of similarity (DSi) of the reference morphological footprint (Moi) associated with said optimal equipment (EOij), and - select the optimal equipment (Eo^) with the highest degree of user comfort (DCu), or the optimal equipment (EOij) with the highest degrees of user comfort (DCu). 4,- System (10) according to claim 3, characterized in that the degree of user comfort (DCu) of an optimal equipment (EOij) is a function of a reference degree of comfort (DC0,i,k), associated with the reference morphological footprint (Moi), of the optimal equipment (EOjj). 5.- System (10) according to any one of the preceding claims, characterized in that the means (16) forming human / machine interface are adapted to present, for the selected equipment (Es), a data (56) representative of a degree of user comfort (DCu) of the equipment, as a function of the morphological footprint (M) of the user. 6.- System (10) according to claim 5, characterized in that the data (56) representing the degree of user comfort (DCu) is expressed in the form of a percentage of comfort. 7,- System (10) according to any one of the preceding claims, characterized in that the equipment (E) consists of a seat cushion. 8.- System (10) according to any one of claims 1 to 6, characterized in that the equipment (E) consists of a bed base and / or a mattress. 9.- System (10) according to any one of the preceding claims, characterized in that the sensors (24) are pressure sensors distributed in the form of a sheet in or on the test equipment (12). 10.- System (10) according to any one of the preceding claims, characterized in that the means (16) forming human / machine interface comprise means (58) for selecting a category (Cj) of equipment (Ek) in the range (G) of possible bedding or seating equipment (Ek), to restrict the selection of bedding or seating equipment by the information processing unit (14) to only the equipment (Ek) of the selected category (Cj). 11.- System (10) according to any one of the preceding claims, characterized in that the means (16) forming human / machine interface comprise means (60) for launching the generation by the information processing unit (14) of manufacturing orders (O) for personalized equipment (Ep) specific to the morphology of the user. 12,- System (10) according to claim 11, characterized in that the information processing unit (14) is connected to a pre-established database (40) for storing pre-established blank models (Mvj) of manufacturing orders, in order to allow the automatic generation of manufacturing orders (O) for the personalized equipment 5 (Ep) by the information processing unit (14), each personalized equipment (Ep) being specific to a recorded morphological imprint (M). 13.- Support system (10) according to claim 2 or 12, characterized in that the database or each database (30, 40) is hosted in a server (31, 48) remote from the rest of the system (10) and connected to it by means of information transmission (32).

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