Calibration techniques for handstate representation modeling using neuromuscular signals

US10496168B2 · kind B2 · utility

Assignee

• CTRL-labs Corporation · US

Inventors

• Patrick Kaifosh · New York, US
• Tudor Giurgica-Tiron · Stanford, US
• Adam Berenzweig · New York, US
• Steven J. Kober · Center Valley, US
• Adam Al-natsheh · New York, US
• Alexandre Barachant · Brooklyn, US
• Zhuo Wang · Suzhou, CN

Key dates

• Filing date: Jan 25, 2019
• Grant date: Dec 3, 2019
• Expiry date: Jan 25, 2039

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B2560/0238
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.