PATENT CLAIM ANALYSIS

Application Number: 16258232
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
System and methods are provided for providing a dynamically-updated musculoskeletal representation of a hand. The system includes a plurality of neuromuscular 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 and temporally smooth in real-time an output of the trained statistical model. The system is also programmed to determine, based on the smoothed output of the trained statistical model, position information describing a spatial relationship between two or more connected segments of the musculoskeletal representation, force information describing a force exerted by at least one segment of the musculoskeletal representation, and update the musculoskeletal representation of the hand based, at least in part, on the position information and the force information.

Claim (Index 9):
The computerized system of  claim 6 , wherein the trained statistical model that includes at least one temporal smoothing characteristic comprises including in the trained statistical model a prior on the smoothness of the output of the statistical model.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.1
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16258442', '16257979', '16258409', '15974384', '15659018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3636869335877933
- 35 USC 102 Novelty (BERT): 0.5460271577432477
- Combined Prediction Score: 0.3819209560033388
- Mean Citation Score: 300.018304
- Max Citation Score: 351.95465
- Similarity Product: 222.89191709978883

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

Dataset: test