PATENT CLAIM ANALYSIS

Application Number: 15961537
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "189000"]

Abstract:
A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

Claim (Index 30):
The method of  claim 19 , wherein extracting the plurality of features from the raw sensor data comprises transforming, for at least one of the one or more sensors, the raw sensor data to a spectral representation.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.98684
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15054763', '10409895', '15446803', '15735338', '14788437']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1909125484262951
- 35 USC 102 Novelty (BERT): 0.5122425708166956
- Combined Prediction Score: 0.2230455506653351
- Mean Citation Score: 156.613204
- Max Citation Score: 163.55571
- Similarity Product: 88.38862987857344

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

Dataset: test