US 11,995,242 B2
Detecting contactless gestures using radio frequency
Wenjing Su, Mountain View, CA (US); and Jiang Zhu, Cupertino, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Appl. No. 17/419,364
Filed by Google LLC, Mountain View, CA (US)
PCT Filed Jul. 15, 2020, PCT No. PCT/US2020/042102
§ 371(c)(1), (2) Date Jun. 29, 2021,
PCT Pub. No. WO2022/015299, PCT Pub. Date Jan. 20, 2022.
Prior Publication US 2022/0179496 A1, Jun. 9, 2022
Int. Cl. G06F 3/01 (2006.01); G06N 20/00 (2019.01); H04B 17/318 (2015.01); H04R 1/10 (2006.01); H04R 29/00 (2006.01)
CPC G06F 3/017 (2013.01) [G06N 20/00 (2019.01); H04B 17/318 (2015.01); H04R 1/1016 (2013.01); H04R 1/1041 (2013.01); H04R 29/001 (2013.01)] 20 Claims
OG exemplary drawing
 
9. A system comprising:
a wearable wireless device comprising a memory, one or more processors, and a wireless interface for wirelessly communicating with at least one second device, wherein the one or more processor processors of the wearable wireless device are configured to:
receive a machine-learned model, the machine-learned model trained based on:
training user input gestures, the training user input gestures including at least one training user input gesture received by the wearable wireless device; and
a detected change in a training signal strength during the reception by the wearable wireless device of the at least one training user input gesture;
detect a first signal strength between the wearable wireless first device and the at least one second device that is wirelessly coupled to the wearable wireless first device;
identify a change in the detected first signal strength; and
determine, based on the change in the detected first signal strength and using the machine-learned model trained based on the at least one training user input gesture received by the wearable wireless device and the detected change in the training signal strength, a user input gesture corresponding to the change in the detected first signal strength.