PATENT CLAIM ANALYSIS

Application Number: 15945085
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["324", "207200"]

Abstract:
Magnetic field sensors can sense speed of movement and direction of movement of a ferromagnetic object. The magnetic field sensors employ both planar Hall effect elements and vertical Hall effect elements to generate two-state signals in two different signal paths with relative phases that are ninety degrees apart, the ninety degrees having sufficient margin to aid in detection of the direction of motion. Other magnetic field sensors use at least four vertical Hall effect elements to identify a speed of rotation and a direction of rotation of a moving ferromagnetic object.

Claim (Index 1):
A magnetic field sensor for sensing a movement of an object, the magnetic field sensor comprising:\n a semiconductor substrate, the semiconductor substrate having first and second major opposing surfaces; a first magnetic field sensing element disposed on or under the first surface of the semiconductor substrate; a second magnetic field sensing element disposed on or under the first surface of the semiconductor substrate; a first electronic circuit channel coupled to the first magnetic field sensing element, the first electronic circuit channel operable to generate a first signal having a first phase; and a second electronic circuit channel coupled to the second magnetic field sensing element, the second electronic circuit channel operable to generate a second signal having a second phase approximately +/\u2212ninety degrees apart from the first phase regardless of a speed of the movement of the object, wherein a sign of the ninety degrees is indicative of a direction of the movement of the object.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 91.0
- Lexical Diversity: 1.69643
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15176665', '15176655', '15176668', '15176645', '14529669']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5763627401739463
- 35 USC 102 Novelty (BERT): 0.5266145025384221
- Combined Prediction Score: 0.5713879164103939
- Mean Citation Score: 328.751258
- Max Citation Score: 374.59836
- Similarity Product: 339.40201834280487

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

Dataset: test