US 12,465,293 B2
Identifying a body part
Gerben Kooijman, Leende (NL); Felipe Maia Masculo, Eindhoven (NL); Adrienne Heinrich, Taguig (PH); and Shakith Devinda Fernando, Eindhoven (NL)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 17/633,227
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Aug. 17, 2020, PCT No. PCT/EP2020/072985
§ 371(c)(1), (2) Date Feb. 7, 2022,
PCT Pub. No. WO2021/032670, PCT Pub. Date Feb. 25, 2021.
Claims priority of application No. 19192688 (EP), filed on Aug. 20, 2019.
Prior Publication US 2022/0280119 A1, Sep. 8, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 8/00 (2006.01)
CPC A61B 5/7267 (2013.01) [A61B 5/441 (2013.01); A61B 5/6843 (2013.01); A61B 5/6844 (2013.01); A61B 8/4227 (2013.01); A61B 8/429 (2013.01)] 15 Claims
OG exemplary drawing
 
8. A system comprising a hand-held device for performing a personal care operation on a subject and an apparatus for identifying a body part of the subject on which the hand-held device is used, wherein the hand-held device comprises a head portion for contacting skin of the subject during the personal care operation, and wherein the hand-held device further comprises one or more sensors for measuring a respective parameter and generating respective measurement signals as the hand-held device is used on the skin of the subject, wherein the one or more sensors comprises at least one of:
(a) a skin contact sensor, wherein the respective parameter measured by the skin contact sensor is indicative of whether the head portion is in contact with skin,
(b) a skin tone sensor, wherein the respective parameter measured by the skin tone sensor is indicative of a skin tone of the skin that the head portion is in contact with, or indicative of a skin tone of adjacent skin that is adjacent to the skin that the head portion is in contact with, and
(c) a proximity sensor, wherein the respective parameter measured by the proximity sensor is indicative of a distance from the proximity sensor to adjacent skin that is adjacent to the skin that the head portion is in contact with;
wherein the apparatus comprises a processing unit configured to:
obtain a respective one or more measurement signals from each of the one or more sensors, each measurement signal comprising a time-series of measurements of the respective parameter as the hand-held device is used on the skin of the subject;
analyze the obtained one or more measurement signals using a trained machine learning model, MLM, to identify the body part of the subject that the hand-held device is used on, wherein the trained MLM is configured to analyze a plurality of measurements in a time window on each of the obtained one or more measurement signals to identify the body part; and
output an indication of the identified body part.