US 12,340,026 B2
Techniques for gesture recognition using wearable device data
Jukka Partanen, Mäntsälä (FI)
Assigned to Oura Health Oy, Oulu (FI)
Filed by Oura Health Oy, Oulu (FI)
Filed on Sep. 16, 2022, as Appl. No. 17/946,944.
Prior Publication US 2024/0094821 A1, Mar. 21, 2024
Int. Cl. G06F 3/01 (2006.01); A61B 5/00 (2006.01); A61B 5/0295 (2006.01); A61B 5/11 (2006.01); H04W 4/029 (2018.01)
CPC G06F 3/017 (2013.01) [A61B 5/0295 (2013.01); A61B 5/11 (2013.01); A61B 5/6802 (2013.01); A61B 5/6826 (2013.01); A61B 5/743 (2013.01); G06F 3/014 (2013.01); H04W 4/029 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A method for gesture recognition, comprising:
receiving geographical location data associated with a user throughout a time interval;
identifying a set of gesture profiles corresponding to a set of gestures associated with the geographical location data of the user, wherein the set of gestures are a subset of a plurality of gestures defined within an application associated with a wearable device, and wherein each gesture profile of the set of gesture profiles corresponds to one or more motion segments of a respective gesture from the set of gestures;
acquiring physiological data associated with the user from the wearable device, the physiological data comprising at least motion data;
identifying a plurality of motion segments within the time interval based at least in part on the motion data;
identifying a gesture the user engaged in based at least in part on matching a motion segment of the plurality of motion segments to a gesture profile of the set of gesture profiles; and
causing a graphical user interface of a user device running the application to display an indication of the gesture performed by the user.