Koninklijke Philips Corporation N.v.

Adrienne Heinrich

Felipe Maia Masculo

Shakith Devinda Fernando

Karl Catharina Van Bree

Gerben Kooijman

Cornelis Willem Hameetman

Jan Brouwer

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.

Identifying a body part

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 carbonisation 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.

Determining whether hairs on an area of skin have been treated with a light pulse

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Adrienne Heinrich