Patent ID: 11957605
Assignee: CIONIC, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A method comprising:
collecting a first set of motor intent data of one or more users from a database;
labeling the first set of motor intent data with an intent label representative of intended motion characterized by the first set of motor intent data;
creating a first training set based on the labeled first set of motor intent data;
training a machine learning model using the first training set, the machine learning model configured to output, based on monitored motor intent data, a movement prediction corresponding to likely motion characterized by the monitored motor intent data;
creating a second training set based on the movement prediction and a labeled second set of motor intent data corresponding to movement signals of a target user; and
re-training the machine learning model using the second training set such that the machine learning model is customized to motions of the target user.