Abstract: According to an aspect, there is provided an apparatus for evaluating skin of a subject. The apparatus comprises a processing unit configured to receive one or more images of the skin of the subject from an imaging unit, wherein the imaging unit is arranged to obtain images of the skin of the subject; process the one or more images to determine a skin type and/or a melanin index of the skin of the subject based on one or more characteristics of a structure of a pigment network of the skin; and output a first signal indicating the determined skin type and/or melanin index.

Abstract: The invention provides for a method of generating a tracked imaging region representing ultrasound data acquired from a subject. The method comprises obtaining ultrasound data acquired from an imaging region by way of an ultrasound probe. A first image and a second image of a surface, acquired during the acquisition of the ultrasound data, are obtained by way of an image sensor coupled to the ultrasound probe. The first image and the second image are compared and a first motion component of the ultrasound probe is computed based on the comparison. A second motion component of the ultrasound probe, acquired during the acquisition of the ultrasound data, is then obtained by way of an inertial measurement unit coupled to the image sensor. The first motion component and the second motion component are combined, thereby generating a motion of the ultrasound probe, which is then combined with the ultrasound data from the imaging region, thereby generating a tracked imaging region.

Abstract: The invention provides a method for determining an orientation of a tool for performing a medical intervention on a subject. The method includes obtaining image data for an image of a surface of, or over, a subject, a tool adjacent the surface and a tool shadow on the surface, the tool shadow resulting from light incident on the tool generated by way of at least one light source positioned at a predetermined position relative to the image sensor. A representation of the surface is obtained and representations of the tool and the tool shadow are segmented from the image data and used to determine an elevation angle of the tool. The orientation of the tool is determined based on the segmented representation of the tool, the segmented representation of the tool shadow and the elevation angle.

Abstract: According to an aspect of this disclosure, there is provided an apparatus (42) configured for use with a personal care device (2). The apparatus (42) is configured to provide visual guidance to a user on movement of the personal care device (2) across a body of a subject, wherein the personal care device (2) is configured to perform a personal care operation on a plurality of successive treatment areas of the body by successively moving the personal care device into a plurality of successive treatment positions on the body each corresponding with a respective one of said successive treatment areas. The apparatus (42) comprises a projection unit (22) configured to project a light pattern on to a surface of the body, and a processing unit (46).

Abstract: According to an aspect, there is provided an apparatus for use with a treatment device for providing feedback to a user on a treatment operation performed on a body part of a subject, wherein the treatment device is configured to apply light pulses to skin of the body part to perform the treatment operation, wherein a light pulse applied to the skin treats an area of the skin.

Abstract: A computer-implemented method of identifying a subject's body part on which a hand-held device is used to perform a personal care operation. The hand-held device comprises a head portion for contacting the subject's skin one or more sensors for measuring a parameter and generating measurement signals as the hand-held device is used on the subject's skin. The sensor(s) comprise(s) at least one of a skin contact sensor, skin tone sensor, and/or proximity sensor. The method includes obtaining a measurement signal from each sensor; analyzing the obtained measurement signal using a trained machine learning model (MLM) to identify the subject's body part that the hand-held device is used on. The trained MLM analyzes a plurality of measurements in a time window on each of the obtained measurement signals to identify the body part. An indication of the identified body part is then outputted.

Abstract: According to an aspect, there is provided an apparatus for use with a treatment device. The treatment device is configured to apply a light pulse to skin of a subject to perform a treatment operation to hairs on the skin. The apparatus comprises a processing unit configured to receive one or more images of a first area of the skin from an imaging unit, wherein the imaging unit is arranged to obtain images of the skin of the subject; process the one or more images to determine whether the hairs on the first area of the skin have been treated with a light pulse based on a degree of at least one of carbonization and curling of the hairs on the first area of the skin as shown in the one or more images; and output a first signal indicating whether the hairs on the first area of skin have been treated with a light pulse.

Abstract: The present invention relates to a device for detecting motion of a person. The present invention further relates to a system incorporating the aforementioned device and a corresponding method. The proposed device comprises a projection sweep unit configured to obtain image data comprising depth information corresponding to an image showing the patient and to generate one or more projection images of the patient for different viewpoints, a motion detection unit configured to detect motion of the patient in the one or more projection images and to generate one or more motion detection signals indicating if motion is detected or not in a respective projection image, and an analysis unit configured to detect and localize body movements of one or more body parts of the patient based on one or more combinations of motion detection signals.

Abstract: The present invention relates to a device, system and method for object recognition. To improve reliability and robustness of the recognition, the device comprises an input unit (21) configured to obtain a depth image (40) of a scene, a computation unit (22) that computes, from the depth image, a noise variance map (42) by computing pixel noise variances at object boundaries of one or more objects in the depth image, a depth confidence map (43) by filtering depth values based on their distance to the depth camera, and a motion confidence map (44) by filtering out variances caused by motion of a person in the scene. Further, from the noise variance map, the depth confidence map and the motion confidence map, one or more candidate regions (45) and their confidence in the depth image are computed, and the one or more candidate regions having the highest confidence are selected as final region of interest (41) representing the object to be recognized.

Abstract: The present invention relates to a device for detecting motion of a person. The present invention further relates to a system incorporating the aforementioned device and a corresponding method. The proposed device comprises a projection sweep unit configured to obtain image data comprising depth information corresponding to an image showing the patient and to generate one or more projection images of the patient for different viewpoints, a motion detection unit configured to detect motion of the patient in the one or more projection images and to generate one or more motion detection signals indicating if motion is detected or not in a respective projection image, and an analysis unit configured to detect and localize body movements of one or more body parts of the patient based on one or more combinations of motion detection signals.