Abstract: The present disclosure relates to a laundry washing machine, comprising a rotatable drum (3), a suspension arrangement (29, 31) carrying the drum in relation to a base structure (7) located under the washing machine on which the washing machine rests, and a load sensing device (9), configured to sense the load of the drum (3). A first structural element (11) extends in a first plane and is connected to either of the drum and the suspension arrangement, and a second structural element (13) extends in a second plane, parallel with the first plane, and is connected to the other of the drum and the suspension arrangement. The load sensing device is attached to the second structural element on a surface thereof facing away from the first structural element and is connected to the first structural element. This allows for a compact load sensing arrangement.

Abstract: A method for determining a transformation between a first coordinate system of an ultrasonic haptic device and a second coordinate system of a visual sensor device. The method includes: triggering generation of an ultrasonic focal point; obtaining images depicting a body part of a user while the ultrasonic focal point is active; determining a position of the ultrasonic focal point in the second coordinate system when the body part of the user is in the ultrasonic focal point; repeating the triggering, obtaining and determining; and calculating a first transformation between the first coordinate system and the second coordinate system based on the positions of the ultrasonic focal points in the first coordinate system and the second coordinate system to thereby calibrate a relationship between the ultrasonic haptic device and the visual sensor device.

Abstract: A computing device (200) for authenticating a user (110) is provided. The computing device is operative to display a first text (131) to the user, acquire a representation of the user subvocalizing a part of the first text, derive a user phrasing signature from the acquired representation, and authenticate the user in response to determining that the user phrasing signature and a reference phrasing signature fulfil a similarity condition. Optionally, the computing device may be further operative to determine if the user is authorized to read the first text. Further optionally, the computing device may be operative to reveal obfuscated parts of the first text in response to determining that the user is authorized to read the first text, or to discontinue displaying the first text, or to obfuscate at least part of the first text, in response to determining that the user is not authorized to read the first text.

Abstract: A method (100) of controlling a portable device comprising a first camera and a second camera facing in the same direction. The method comprises: selecting (110) one of the first camera and the second camera as a visualization camera; initializing (120) a localization algorithm having as an input image data representing images captured by one of the first camera and the second camera; determining (130) a respective focus score for at least one of the first camera and the second camera, said focus score indicating a focus quality of features identified from images captured by one of the respective camera; selecting (140,) one of the first camera and the second camera as an enabled camera based on the at least one focus score; and generating a control signal configured to cause the selected camera to be enabled such that the image data representing images captured by the enabled camera are provided as the input to the localization algorithm.

Abstract: A method performed by a computing device of establishing a secret shared between a first communications device and at least one second communications device is provided. The method comprises acquiring, using a first means of communication with the first communications device, a first data representation from which the shared secret can be derived. The method further comprises generating a second data representation from the first data representation, from which second data representation the shared secret can be derived. Moreover, the method comprises providing, using a second means of communication, the second communications device with the second data representation, the first means of communication being different from the second means of communication.

Abstract: A method for aligning representations of a 3D space is provided, including: obtaining a first set of geometric restrictions for a first representation corresponding to capturing restrictions of a first capturing device, the first representation forming part of a map for positioning of capturing devices; obtaining a second set of geometric restrictions corresponding to capturing restrictions of a second capturing device for providing a second representation of a 3D physical space; determining that a difference between the first set of geometric restrictions and the second set of geometric restrictions exceeds a threshold; determining which one of the first set of geometric restrictions and the second set of geometric restrictions is most restrictive and which one is least restrictive; and triggering a restrictive determination of the representation that is based on the least restrictive set of geometric restrictions, the determination being based on the most restrictive set of geometric restrictions.

Abstract: In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Abstract: A tactile telecommunications device comprising: a tactile device configured to receive input of tactile data and to output tactile data, said tactile device being associated with tactile device properties; a communications interface configured for establishing a connection with a second tactile telecommunications device, said second tactile telecommunications device comprising a second tactile device being associated with tactile device properties; a memory configured for storing said tactile device properties; and a controller configured to: receive said tactile device properties for said second tactile device; determine a common property by comparing said tactile device properties for said tactile device and said tactile device properties for said second tactile device; determine whether an adaptation is required, and if so, adapt operation of said tactile device accordingly.

Abstract: A method performed by a computing device of establishing a secret shared between a first communications device and at least one second communications device is provided. The method comprises acquiring, using a first means of communication with the first communications device, a first data representation from which the shared secret can be derived. The method further comprises generating a second data representation from the first data representation, from which second data representation the shared secret can be derived. Moreover, the method comprises providing, using a second means of communication, the second communications device with the second data representation, the first means of communication being different from the second means of communication.

Abstract: A method, executed at a controller for adapting a virtual object model, and a controller for executing the suggested method, where the method comprises acquiring of a virtual object model of a relevant virtual object and acquiring of at least one real object model of a relevant real object. Matching, according to at least one matching criteria, at least a part of the virtual object model to at least a part of one of the at least one real object model, selecting the best matching real object, and modifying at least a part of the virtual object model with respect to the at least part of the selected real object model.

Abstract: In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Abstract: A method, executed at a controller for adapting a virtual object model, and a controller for executing the suggested method, where the method comprises acquiring of a virtual object model of a relevant virtual object and acquiring of at least one real object model of a relevant real object. Matching, according to at least one matching criteria, at least a part of the virtual object model to at least a part of one of the at least one real object model, selecting the best matching real object, and modifying at least a part of the virtual object model with respect to the at least part of the selected real object model.

Abstract: A method for determining a content pose of a piece of virtual content. The method is performed in a pose determiner and comprises: acquiring a first anchor pose of the anchoring device; determining a first content pose, being a pose of a piece of virtual content, in relation to the first anchor pose; storing the first content pose in relation to the first anchor pose; determining that a user device needs to determine a content pose of the piece of virtual content; acquiring a second anchor pose of the anchoring device; retrieving the stored first content pose; determining a second content pose of the piece of virtual content based on the first content pose and the second anchor pose; and rendering the piece of virtual content in the second content pose on a user device comprising a display.

Abstract: According to a first aspect, it is presented a method for dynamically selecting a learning model for a sensor device. The learning model is configured for determining output data based on sensor. The method includes the steps of: detecting a need for a new learning model for the sensor device based on performance of a currently loaded learning model in the sensor device; determining at least one feature candidate based on sensor data from the at least one sensor, wherein each one of the at least one feature candidate is associated with a different source of sensor data; selecting a new learning model, from a set of candidate learning models, based on the at least one feature candidate and input features of each one of the candidate learning models; and triggering the new learning model to be loaded on the sensor device, replacing the currently loaded learning model.

Abstract: It is provided method for communicating olfactory content. The method is performed in an olfactory device and comprises the steps of: obtaining olfactory content to be rendered at a recipient device; identifying an olfactory state at the recipient device; determining an adjustment of at least one olfactory component, based on the identified olfactory state, to render the olfactory content; and triggering the recipient device to perform the adjustment of at least one olfactory component.

Abstract: A method and an apparatus for enabling adaptive audio signal alteration are described. When an input audio signal is received, a determination of whether the user of an audio device hears the input audio signal is performed based upon brain activity of the user. A determination of whether the user is distracted by the audio signal is performed based upon sensor measurements indicating a physical state of the user. In response to determining that the user hears the input audio signal and that the input audio signal causes the user to be distracted, a determination of configuration parameter(s) is performed. An alteration of audio signal(s) is caused based upon the configuration parameter(s) to obtain modified version(s) of the audio signal(s) that are intended to address the distraction caused by the input audio signal, and output audio signals are output, where the output audio signals include the modified versions.

Abstract: According to a first aspect, it is presented a method for dynamically selecting a learning model for a sensor device. The learning model is configured for determining output data based on sensor. The method comprises the steps of: detecting a need for a new learning model for the sensor device based on performance of a currently loaded learning model in the sensor device; determining at least one feature candidate based on sensor data from the at least one sensor, wherein each one of the at least one feature candidate is associated with a different source of sensor data; selecting a new learning model, from a set of candidate learning models, based on the at least one feature candidate and input features of each one of the candidate learning models; and triggering the new learning model to be loaded on the sensor device, replacing the currently loaded learning model.

Abstract: A method by a device performing localization using a set of sensors that are transported with the device is disclosed. A confidence score is determined for each of the sensors among the set of sensors. A subset of the sensors is defined from among the set of sensors that are to remain active based on their respective confidence scores satisfying a defined threshold. The method deactivates the sensors within the set of sensors having confidence scores that do not satisfy the defined threshold. The deactivation includes controlling power consumption by deactivated ones of the sensors.