US 12,223,669 B2
Touchless wrist measurement
Aditya Sankar, Seattle, WA (US); Qi Shan, Mercer Island, WA (US); Shreyas V. Joshi, Seattle, WA (US); David Guera Cobo, Seattle, WA (US); Fareeha Irfan, Seattle, WA (US); and Bryan M. Perfetti, San Jose, CA (US)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on Feb. 14, 2022, as Appl. No. 17/670,686.
Claims priority of provisional application 63/150,621, filed on Feb. 18, 2021.
Prior Publication US 2022/0262025 A1, Aug. 18, 2022
Int. Cl. G06T 7/55 (2017.01); G01B 11/08 (2006.01); G06N 3/04 (2023.01); G06N 20/00 (2019.01)
CPC G06T 7/55 (2017.01) [G01B 11/08 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06T 2207/10028 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
at an electronic device having a processor:
obtaining depth data captured by a depth sensor, the depth data comprising a set of depth map images of a wrist from different angles, wherein the set of depth map images are captured with different portions of the wrist facing the depth sensor;
selecting at least two depth map images from the set based on determining that the two depth map images correspond to at least a minimum threshold difference in viewpoint with respect to an angle of the different angles;
generating an output based on inputting the depth data into a machine learning model, the output corresponding to circumference of the wrist or a watch band size of the wrist; and
providing a watch band size recommendation based on the output.