PATENT CLAIM ANALYSIS

Application Number: 15893649
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["257", "416000"]

Abstract:
A monolithically integrated multi-sensor (MIMS) is disclosed. A MIMs integrated circuit comprises a plurality of sensors. For example, the integrated circuit can comprise three or more sensors where each sensor measures a different parameter. The three or more sensors can share one or more layers to form each sensor structure. In one embodiment, the three or more sensors can comprise MEMs sensor structures. Examples of the sensors that can be formed on a MIMs integrated circuit are an inertial sensor, a pressure sensor, a tactile sensor, a humidity sensor, a temperature sensor, a microphone, a force sensor, a load sensor, a magnetic sensor, a flow sensor, a light sensor, an electric field sensor, an electrical impedance sensor, a galvanic skin response sensor, a chemical sensor, a gas sensor, a liquid sensor, a solids sensor, and a biological sensor.

Claim (Index 10):
A monolithically integrated multi-sensor (MIMs) comprising:\n a first integrated circuit comprising:\n a pressure sensor configured to measure an parameter; and \n a first MEMs sensor configured to measure a first parameter; \n a second MEMs sensor configured to measure a second parameter; and \n a third MEMs sensor configured to measure a third parameter wherein the first parameter, the second parameter, the third parameter, and the parameter measured by the pressure sensor are different and wherein the pressure sensor, the first MEMs sensor, and the second MEMs sensor, and the third MEMs sensor are formed on or in a single semiconductor substrate.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.24324
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15669916', '15050388', '15049339', '14207443', '14207433']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.933188422063614
- 35 USC 102 Novelty (BERT): 0.5235963125566828
- Combined Prediction Score: 0.8922292111129209
- Mean Citation Score: 342.197604
- Max Citation Score: 354.0244
- Similarity Product: 332.95132511479864

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

Dataset: test