PATENT CLAIM ANALYSIS

Application Number: 16257922
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["703", "002000"]

Abstract:
Methods and systems for dynamically reconstructing handstate information based on multiple inputs are described. The methods and systems use data from multiple inputs including a plurality of neuromuscular sensors arranged on one or more wearable devices and one or more cameras. The multimodal data is provided as input to a trained statistical model. The methods and systems determine, based on the data from the multiple inputs, an estimate and representation of the spatial relationship between two or more connected segments of the musculoskeletal representation and force information describing a force exerted by at least one segment of the musculoskeletal representation. The methods and systems further update the computerized musculoskeletal representation based, at least in part, on the position information and the force information.

Claim (Index 28):
The computerized system of  claim 27 , wherein the absolute position information comprises a position of the at least a portion of the arm and/or hand relative to an object in proximity to the user.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 1.94118
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16258232', '16258442', '16257979', '16258409', '15974384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3409321690604108
- 35 USC 102 Novelty (BERT): 0.5744594202916476
- Combined Prediction Score: 0.3642848941835345
- Mean Citation Score: 318.899488
- Max Citation Score: 344.41782
- Similarity Product: 226.4607004143012

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