PATENT CLAIM ANALYSIS

Application Number: 16196676
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["348", "135000"]

Abstract:
Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.

Claim (Index 13):
The system of  claim 1  wherein said individual sensor estimate for a sensor of said at least two sensors is calculated as\n said sensor value when said sensor value is in said interior of said measurement range of said sensor; and, \n an extrapolated value based on extrapolation of one or more previous or subsequent sensor values in said interior of said measurement range when said sensor value is equal to said lower measurable value for said sensor or is equal to said upper measurable value for said sensor.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 98.0
- Lexical Diversity: 2.10667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15490689', '15820312', '15268501', '13744384', '15006065']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6627578224372469
- 35 USC 102 Novelty (BERT): 0.5459020987312434
- Combined Prediction Score: 0.6510722500666466
- Mean Citation Score: 339.04206800000014
- Max Citation Score: 386.1572
- Similarity Product: 361.769443794322

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

Dataset: test