PATENT CLAIM ANALYSIS

Application Number: 16433907
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["702", "151000"]

Abstract:
A method of determining a direction of rotation of a shaft is disclosed, as well as an integrated circuit chip that uses the disclosed method. The method includes receiving a first binary signal and a second binary signal from a transducer attached to the shaft, with the first and second binary signals being in quadrature. A present quadrant identification number, QID PRESENT , is determined as a two-digit binary number by left-shifting a value of the first signal and adding a value of the second signal. After a sampling interval has elapsed, the method sets a past quadrant identification number, QID PAST , to the value of said QID PRESENT , determines a new value of QID PRESENT  and calculates a value of a transition code using an equation that operates on QID PRESENT  and QID PAST . The method uses the transition code to determine a direction of rotation of the shaft.

Claim (Index 10):
The method of  claim 1 , wherein the transition code is:\n a value from a first set of values when the rotation direction is a first direction; a value from a second set of values when the rotation direction is a second direction opposite the first direction, wherein each value in the first set of values differs from every value in the second set of values; a value from a third set of values when the transition code is determined to be invalid, wherein the each value in the third set of values differs from every value in the first and second sets of values.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 100.0
- Lexical Diversity: 2.34783
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15223537', '10922118', '15384024', '14904482', '14622132']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.193277810985893
- 35 USC 102 Novelty (BERT): 0.5474570041415481
- Combined Prediction Score: 0.2286957303014586
- Mean Citation Score: 174.918832
- Max Citation Score: 407.6175
- Similarity Product: 333.32072202757

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