Abstract: In various embodiments, a method of providing a hair treatment agent is provided. The method can have a detecting of at least one sensor value on hair of a user by employing at least one portable sensor, a determining of a hair condition of the user by employing the detected at least one sensor value, a computer-assisted determining of a user-specific hair treatment agent including the determined hair condition, and a preparing of the determined user-specific hair treatment agent by employing a hair treatment agent mixing device.

Abstract: An arrangement for determining a degree of stretching of hair is provided. The arrangement includes a detection unit for detecting hair characteristics and an evaluation unit for evaluating the detected hair characteristics and for determining the degree of elongation of hair based on the detected hair characteristics. The detection unit contains a near-infrared sensor, and is configured to irradiate a hair sample with electromagnetic waves in the infrared range and to detect an absorbance of the hair sample in a wavelength range from about 800 to about 2500 nm. The acquisition unit is configured to generate an absorption spectrum of the hair sample in the wavelength range of from about 800 to about 2500 nm and provide it to the evaluation unit and the evaluation unit is configured to compare the generated absorption spectrum with a calibration model and to determine a degree of elongation of the hair sample.

Abstract: In various embodiments, a method for determining a homogeneity of complexion is provided. The method may include provision of a digital image on which skin is portrayed and which is parameterized in a color space which is defined by a parameter set in which one of the parameters is a hue, identifying and/or defining at least one skin examination area in the transformed image, calculating a hue distribution in the at least one skin examination area, and determining at least one homogeneity value for the complexion based on the calculated hue distribution.

Abstract: The present disclosure relates to a method for determining a user-specific hair treatment with determination and inclusion of the degree of damage of the hair. To this end, the content of cysteic acid is firstly determined with the aid of near-infrared and/or infrared spectra of the keratin fibres of an individual and a degree of damage is derived via a calibration model. Individual treatment advice is output on the basis of the determined degree of damage.

Abstract: A method for determining a user-specific hair treatment by determining and inclusion of the degree of damage of hair is provided. To this end, initially, with the aid of near-infrared and/or infrared spectra of the keratin fibres of an individual, the amino acid oxidation product content is determined and a degree of damage is derived from it via a calibration model. Individual treatment advice that is based on the determined degree of damage is issued.

Abstract: A method and data processing device is described herein for computer-aided determination of a hair coloring agent for coloring of hair in a desired hair color. A device for production of an individually determined hair coloring agent is also described herein.

Abstract: A method for determination of a cross-manufacturer hair coloration agent recommendation is provide. The method includes the allocation of a number of hair coloration agents to respectively one standard source hair color of a number of source hair colors, a coloration of hair samples with the number of hair coloration agents, a colorimetric measurement of the number of hair samples, a determination of a color difference between each of the number of colors, an allocation of each of the hair coloration agents with unknown composition to one of the hair coloration agents with known composition in such a way that the color difference is minimized, a determination of the user source hair color, a determination of the user's desired hair color, a determination of a first recommended hair coloration agent from the number of hair coloration agents of known composition and of a second recommended hair coloration agent.

Abstract: A method for determining a greyness level of a strand of hair and a system adapted to implement this method are provided. First, an image of the strand of hair representing it according to a predefined representation standard is obtained. The image comprises a portion representing the strand of hair with pixels. Then, for each pixel of the portion, a luminance value is determined. After that an amount of pixels in the portion for which the determined luminance value is above a threshold luminance value is determined. Finally, the greyness level of the strand of hair is determined by estimating a ratio of the determined amount of pixels over a total amount of pixels in the portion.

Abstract: A method for determining a coloration product recommendation, in particular a hair coloration product recommendation. First images representing an object colored using a coloration product are obtained. A color of the colored object is identified on the images by determining a global color value taking into account different elements within the image. Then a desired color is obtained. A recommendation for a coloration product to achieve the desired color is determined. The recommended coloration product corresponds to the product which keeps the color difference between the desired color and the identified color below a predetermined threshold.

Abstract: A method for determination of a cross-manufacturer hair coloration agent recommendation is provide. The method includes the allocation of a number of hair coloration agents to respectively one standard source hair color of a number of source hair colors, a coloration of hair samples with the number of hair coloration agents, a colorimetric measurement of the number of hair samples, a determination of a color difference between each of the number of colors, an allocation of each of the hair coloration agents with unknown composition to one of the hair coloration agents with known composition in such a way that the color difference is minimized, a determination of the user source hair color, a determination of the user's desired hair color, a determination of a first recommended hair coloration agent from the number of hair coloration agents of known composition and of a second recommended hair coloration agent.

Abstract: In various embodiments, a method for determining a homogeneity of complexion is provided. The method may include provision of a digital image on which skin is portrayed and which is parameterized in a color space which is defined by a parameter set in which one of the parameters is a hue, identifying and/or defining at least one skin examination area in the transformed image, calculating a hue distribution in the at least one skin examination area, and determining at least one homogeneity value for the complexion based on the calculated hue distribution.

Abstract: A method for determining a correspondence between hair coloring agents and hair coloring results is provided. The method includes obtaining hair color data. Further, the method includes splitting hair color data into a first hair color group and a second hair color group, the first hair color group comprising more data than the second hair color group. The method also includes adding artificial hair color data to the second hair color group. The method further includes building a model by employing predictive analytics based on the hair color data and including the artificial hair color data.

Abstract: In various exemplary embodiments, a method for computer-supported determination of properties of hair colors is prepared. The method can include: preparing hair color data, wherein the hair color data has values for a multitude of color pre-condition parameters and for at least one coloring result parameter for a multitude of coloring processes, wherein the multitude of coloring processes includes a first concentration of a first dye precursor and a second concentration of a second dye precursor for each coloring process of the multitude of coloring pre-condition parameters, wherein the multitude of coloring processes of the at least one coloring result parameters has a measured specification with a property of hair colors and determining a relationship between the multitude of coloring pre-condition parameters and the at least one coloring result parameter by employing predictive analytics based on the hair color data.

Abstract: An arrangement to determine a reductive damage of hair is provided. The arrangement contains a detection unit for detecting hair features and an evaluation unit for evaluating the detected hair features and for determining the reductive damage of hair based on the detected hair features. The detection unit contains a near infrared sensor, and is configured to irradiate a hair sample with electromagnetic waves in the near infrared range at a wavelength from about 800 to about 2500 nm and to detect the light emitted by the hair sample. The detection unit is configured to generate a spectrum of the emitted light and provide it to the evaluation unit and the evaluation unit is configured to determine a reductive damage based on the spectrum of the emitted light in a wavelength range from about 1970 to about 1980 nm.

Abstract: An arrangement for determining a degree of stretching of hair is provided. The arrangement includes a detection unit for detecting hair characteristics and an evaluation unit for evaluating the detected hair characteristics and for determining the degree of elongation of hair based on the detected hair characteristics. The detection unit contains a near-infrared sensor, and is configured to irradiate a hair sample with electromagnetic waves in the infrared range and to detect an absorbance of the hair sample in a wavelength range from about 800 to about 2500 nm. The acquisition unit is configured to generate an absorption spectrum of the hair sample in the wavelength range of from about 800 to about 2500 nm and provide it to the evaluation unit and the evaluation unit is configured to compare the generated absorption spectrum with a calibration model and to determine a degree of elongation of the hair sample.

Abstract: A method involves determining a first initial state parameter with information about prior damage to the hair and a second initial state parameter with information about a hair color. The method further involves determining the initial colour state of the hair to be dyed for the hair region and computer-assisted determination, for a particular hair dye, of a forecast hair colouring result for the hair in the hair region, taking into consideration the determined initial colour state of the hair.

Abstract: An arrangement for determining external damage to hair is given. A device comprising: a reading unit adapted to obtain optical characteristics of hair; and a processing unit adapted to receive the optical characteristics from the reading unit and to determine surface properties of the hair from the optical characteristics, wherein the processing unit implements a pattern recognition algorithm and is adapted to assign, by employing the pattern recognition algorithm, the surface properties to a predetermined damage including at least one damage type and an associated damage level and to output the damage.

Abstract: Devices and methods for determining the thickness of hair are provided. An exemplary device includes a computing unit with a processor and a local memory. The processor is connected to the local memory and configured to read data from and/or to write data into the local memory. The device further includes a user input/output unit configured for interaction with a user. Also, the computing unit includes an image data input interface for receiving image data of at least one individual hair. The image data input interface is connected to the processor. Further, the computing unit includes a user interface connected to the user input/output unit and to the processor. The computing unit is configured to process the image data of the at least one individual hair to create hair thickness values of the at least one individual hair and to output the hair thickness values to the user interface.

Abstract: A method for determining a degree of damage to hair is provided in the form of various embodiments. Said method can comprise the following steps: during the exposure of a hair sample to UV light (for example by employing a UV-LED), detecting fluorescence light emitted by the hair sample, determining a fluorescence intensity by employing the detected light, and determining the degree of damage to the hair using said fluorescence intensity.

Abstract: A method and device for determining the color homogeneity of hair is provided. In accordance with various exemplary embodiments, a method comprises providing a digital image in which hair is depicted and which is parameterized in a color space which is defined by employing a parameter set in which one of the parameters is a hue, defining at least one hair analysis region in the digital image, determining a hue distribution in at least one hair analysis region, and determining at least one color homogeneity value on the basis of the determined hue distribution.