PATENT CLAIM ANALYSIS

Application Number: 16532880
Application Type: Utility
Filing Date: 2019-08
Publication Date: 2019-12
Patent Classification: ["345", "156000"]

Abstract:
A system having sensor modules and a computing device. Each sensor module has an inertial measurement unit attached to a portion of a user to generate motion data identifying a sequence of orientations of the portion. The sensor modules include a first subset and a second subset that share a common sensor module. The computing device provides orientation measurements generated by the first subset as input to a first artificial neural network to obtain at least one first orientation measurement of the common module, provides orientation measurements generated by the second subset as input to a second artificial neural network to obtain at least one second orientation measurement of the common module, and generates, a predicted orientation measurement of the common module by combining the at least one first orientation measurement of the common module and the at least one second orientation measurement of the common module.

Claim (Index 6):
The system of  claim 4 , wherein the first artificial neural network is configured to predict orientation measurements generated by an optical tracking system based on the orientation measurements generated by the first subset.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.8
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15996389', '15847669', '15813813', '15787555', '15792255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6366505692403603
- 35 USC 102 Novelty (BERT): 0.5672891576700257
- Combined Prediction Score: 0.6297144280833269
- Mean Citation Score: 229.672358
- Max Citation Score: 451.72922
- Similarity Product: 360.4575328438365

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