Abstract: The invention provides techniques for estimating a skin coverage in a usage session of a light-emitting hair growth management device. Sensor data from one or more sensors of the light-emitting hair growth management device is used by a rules-based algorithm and/or machine learning algorithm to estimate the coverage of a target body part or parts achieved in the usage session. This information is fed back to a user of the hair growth management device via a graphical user interface. In another aspect the invention provides a scheduling application that is able to dynamically adjust a usage plan comprising one or more usage sessions of a light-emitting hair growth management device based on information about the level of hair growth management achieved in a given usage session.

Abstract: A method which includes obtaining a first sequence of images of a user attempting to reproduce a sequence of poses of a reference user and determining correct performance of the user. For each body part of a plurality of body parts of the user, a spatial orientation of the body part in a referential independent of an orientation of any other body part of the user is compared to the spatial orientation of the reference user. If the comparison does not meet a matching criterion for at least one body part of the user, data representative of a mismatch between the orientation of the body part of the user and the spatial orientation of the reference user is output, thereby enabling the user to correct his pose using a feedback pointing to the body part to be corrected.

Abstract: A method which comprises, by a processor and memory circuitry: obtaining a first sequence of images of a user, determining correct performance of a pose of the user in the first sequence of images, including based on at least one image, for each body part of a plurality of body parts of the user, comparing at least one of spatial orientation and position of the body part, or of at least one body node thereof, with at least one of desired spatial orientation and position, if the comparison does not meet a matching criterion for at least one body part of the user, or of at least one body node thereof, outputting data representative of a mismatch between the at least one body part of the user, or of the at least one body node thereof, and the at least one of desired spatial orientation and position.