PATENT CLAIM ANALYSIS

Application Number: 16447744
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2020-01
Patent Classification: ["340", "632000"]

Abstract:
A wearable sensor badge utilizes a carbon nanotube (CNT) sensor array for selective sensing of chemicals from naturally diffused air or by sampling air using a pump/fan for higher sensitivity. An embedded microcontroller monitors the resistance of the sensing elements and by using an advanced detection algorithm the presence of TICs and/or CWAs are identified.

Claim (Index 9):
The sensor assembly of  claim 8 , wherein the sensor array and the sensor circuitry are configured to detect at least one of ammonia, hydrogen sulfide, sulfur dioxide, chlorine. carbon monoxide, nitrogen dioxide, nitric oxide, hydrogen cyanide, phosphine and methyl bromide, GA (tabun), GB (sarin), HD (sulfur mustard), and VX (nerve agent).

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 1.25532
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15867568', '10698042', '13122997', '11636360', '11924328']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6452095964771283
- 35 USC 102 Novelty (BERT): 0.5413170970399881
- Combined Prediction Score: 0.6348203465334143
- Mean Citation Score: 197.30032800000004
- Max Citation Score: 349.26422
- Similarity Product: 297.3926247099613

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