Systems and methods for improving handstate representation model estimates

Abstract

The disclosed systems and methods are generally directed to providing a musculoskeletal representation of a hand. The system comprises one or more neuromuscular sensors configured to record a plurality of neuromuscular signals from a user and at least one computer processor. The computer processor is programmed to provide the plurality of neuromuscular signals as input to one or more trained inference models. The one or more trained inference models may include a smoothing function such as a loss function, such as a total variation loss function, a finite difference loss function, or another suitable loss function, to generate a temporally smooth output based on the processed neuromuscular signals. The computer processor is further programmed to determine the musculoskeletal representation of the hand based on the temporally smooth output. Various other methods, systems, and computer-readable media are also disclosed.