Abstract: An apparatus for detecting mis-adaptation of an optical device to a wearer includes processing circuitry configured to receive and store over time head data relative to the head of the wearer when wearing and using the optical device, process the head data based on head data patterns associated with known mis-adaptation of an optical device to the wearer of said optical device, and detect mis-adaptation of the optical device to the wearer by matching the received and stored head data with head data patterns associated with mis-adaptation.

Abstract: A method for determining a postural and visual behavior of a person, the method comprising:—a person image receiving step during which a plurality of images of the person are received,—a context determining step during which the plurality of images of the person are analyzed so as to determine context data representative of the context in which the person is on each image of the plurality of images,—an analyzing step during which the plurality of images of the person are analyzed so as to determine at least one oculomotor parameter of the person,—a postural and visual behavior determining step during which a postural and visual behavior of the person is determined based at least on the at least one oculomotor parameter and the context data.

Abstract: A system for determining a value of a magnitude associated with a subjective value of an optical feature of at least a corrective lens adapted to an eye of a subject, by implementing a subjective test where the subject is asked to describe his visual performance in a plurality of real optical conditions by choosing one descriptive answer among a set of possible descriptive answers. The system includes one or more processor programmed to collect the results of the subjective test, performed by asking the subject to describe his visual performance in each real optical condition of the plurality of real optical conditions by choosing, for each real optical condition, one descriptive answer, the results comprising each descriptive answer chosen and the corresponding real optical condition, and determine the value of the magnitude by taking into account the initial model and each descriptive answer collected.

Abstract: A method for determining a position variation of an eyewear equipment worn by a wearer includes obtaining reference data representing a reference position of an eyewear equipment worn by the wearer, the eyewear equipment including at least one ophthalmic lens and a frame on which the at least one ophthalmic lens is mounted, determining at least one reference position parameter indicative of a reference position of the eyewear equipment on the face of the wearer based on the reference data, obtaining current data representing a current position of the eyewear equipment worn by the wearer, determining at least one current position parameter indicative of a current position of the eyewear equipment in front of the eyes of the wearer based on the current data, and comparing the reference and current positions parameters to determine a position variation of the eyewear equipment worn by the wearer.

Abstract: Method for determining an ophthalmic equipment which is adapted to the characteristics of at least a given wearer, the method being implemented by a processor, the method comprising: —providing access to digital content of the wearer (S100), —analyzing the digital content of the wearer so as to extract wearer data (S200), —processing the wearer data so as to obtain a set of characteristics (S300), the set of characteristics comprising at least one category and at least one associated score, and —determining at least one component of an ophthalmic equipment based on the obtained set of characteristics (S400).

Abstract: A method for determining an ophthalmic element adapted to a wearer, the wearer having a prescription. The method including at least providing an initial set of ophthalmic elements, each ophthalmic element of the initial set being adapted to the prescription of the wearer, for each ophthalmic element of the initial set, calculating a value of each criterion of a plurality of criteria, the plurality of criteria comprises a plurality of lens criteria and/or a plurality of wearer criteria, generating an optimal set of ophthalmic elements by computing pareto-optimal ophthalmic elements among the ophthalmic elements of the initial set based on the value of each criterion, and determining one final ophthalmic element for the wearer in the optimal set of ophthalmic elements based on selected criteria based on wearer's preferences.

Abstract: This method for predicting at least one eye gazing parameter of a person wearing visual equipment includes steps of: measuring data of at least two individuals wearing visual equipment, such data including at least head motion parameters and eye gazing parameters of the individuals; measuring head motion parameters of the person in real-life conditions; comparing the head motion parameters of the person with the head motion parameters of the at least two individuals; and predicting the at least one eye gazing parameter of the person at least on the basis of the results of the comparing step and of the eye gazing parameters of the at least two individuals.

Abstract: This method for predicting evolution over time of at least one vision-related parameter of at least one person includes: obtaining successive values for the person, respectively corresponding to repeated measurements over time of at least one parameter of a first predetermined type for the person; predicting by at least one processor the evolution over time of the vision-related parameter of the person from the obtained successive values for the person, by using a prediction model associated with a group of individuals; the predicting including associating at least part of the successive values for the person with the predicted evolution over time of the vision-related parameter of the person, the associating including jointly processing the successive values associated with the same parameter of the first predetermined type. The predicted evolution depends differentially on each of the jointly processed values.

Abstract: This method for building a prediction model for predicting evolution over time of at least one vision-related parameter of at least one person includes: obtaining successive values respectively corresponding to repeated measurements over time of at least one parameter of a first predetermined type for at least one member of a group of individuals; obtaining evolution over time of the vision-related parameter(s) for the member(s) of the group of individuals; building by at least one processor the prediction model, including associating at least part of the successive values with the obtained evolution over time of the vision-related parameter(s) for the member(s) of the group of individuals, the associating including jointly processing the at least part of the successive values associated with a same one of the parameter(s) of the first predetermined type. The prediction model depends differentially on each of the jointly processed values.

Abstract: A method for determining a component of an ophthalmic equipment, the method including acquiring a set of parameter values relating to the given wearer, processing the acquired set of parameter values to infer a group, the given wearer belonging to the inferred group and the inferred group belongs to a plurality of pre-established groups, the pre-established groups being elaborated based on respective sets of parameter values of a plurality of reference wearers. The method further including determining, based on the inferred group, at least a feature enabling to determine a component of an ophthalmic equipment of the given wearer, and determining a component of an ophthalmic equipment to be used by the wearer based on the at least a determined feature, each set of parameters values of the plurality of reference wearers including parameter values belonging to at least two distinct categories.

Abstract: Method for determining an ophthalmic equipment, the method comprising: —collecting (S100), for a plurality of reference wearers having worn at least an ophthalmic equipment of the set of predetermined ophthalmic equipments, a first plurality of wearer parameters values, —creating a plurality of reference datasets (S200), each reference dataset comprising a subset of the first plurality of wearer parameters values, each subset of the first plurality of wearer parameters being different for each reference dataset, —for each of the reference datasets, determining, a model intended to be used to determine at least an ophthalmic equipment (S300), —collecting, for a given wearer, a second plurality of wearer parameters (S400), —selecting, as a function of the second plurality of wearer parameters, a model among the models associated to the plurality of reference datasets (S500), —based on the selected model, determining at least an ophthalmic equipment (S600).

Abstract: A method for determining a postural and visual behavior of a person, the method comprising:—a person image receiving step during which a plurality of images of the person are received,—a context determining step during which the plurality of images of the person are analyzed so as to determine context data representative of the context in which the person is on each image of the plurality of images,—an analyzing step during which the plurality of images of the person are analyzed so as to determine at least one oculomotor parameter of the person,—a postural and visual behavior determining step during which a postural and visual behavior of the person is determined based at least on the at least one oculomotor parameter and the context data.

Abstract: Disclosed is a method implemented with a head-mounted device for identifying a distinct device within a given range distance of the head-mounted device, the head-mounted device includes a receiver adapted to receive wireless signals and a memory adapted to store data. The method includes: a tag data receiving step during which tag data identifying at least one electronic wireless tag placed on the distinct device are received by the receiver of the head-mounted device; a storing step during which the stored data including the tag data are stored in the memory of the head-mounted device; and an identification step during which the device is identified based on the stored data.