PATENT CLAIM ANALYSIS

Application Number: 16526401
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["345", "156000"]

Abstract:
Methods and system for predicting the onset of a motor action using neuromuscular signals. The system comprises a plurality of sensors configured to continuously record a plurality of neuromuscular signals from a user and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals or information based on the plurality of neuromuscular signals, predict, based on an output of the trained statistical model, whether an onset of a motor action will occur within a threshold amount of time; and send a control signal to at least one device based, at least in part, on the output probability, wherein the control signal is sent to the at least one device prior to completion of the motor action by the user.

Claim (Index 20):
A computer system for training a statistical model to predict an onset of a motor task based, at least in part, on neuromuscular signal data, the computer system comprising:\n an input interface configured to:\n receive the neuromuscular signal data recorded during performance of a motor action performed by one or more users; \n receive result data indicating an outcome of the motor action performed by the one or more users; and \n at least one storage device configured to store a plurality of instructions that, when executed by at least one computer processor perform a method of:\n generating training data based, at least on part, on the received neuromuscular signal data and the received result data; \n training the statistical model using at least some of the generated training data to output a trained statistical model; \n determining an operating threshold used to interpret output of the trained statistical model; and \n storing, by the at least one storage device, the trained statistical model and the operating threshold, wherein the trained statistical model is configured to predict the onset of a motor task prior to completion of the motor task by a user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.10606
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15659018', '16258442', '15974384', '16258232', '16257979']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6146780733485819
- 35 USC 102 Novelty (BERT): 0.5583817826413074
- Combined Prediction Score: 0.6090484442778545
- Mean Citation Score: 285.973834
- Max Citation Score: 411.3608
- Similarity Product: 406.9333770582675

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test