PATENT CLAIM ANALYSIS

Application Number: 16060710
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["340", "552000"]

Abstract:
An apparatus for detecting events includes a processor and a storage device storing instructions that when executed by the processor cause the processor to train a classifier for classifying channel state information (CSI) and detecting an event based on the classification of the CSI obtained during a monitoring phase. The training of the classifier includes: for each of the known events to be detected, during a time period in which the known event occurs in a venue, obtain training CSI of a wireless multipath channel between a wireless transmitter and a wireless receiver in the venue, in which the training CSI is derived from one or more probing signals sent from the transmitter through the wireless multipath channel to the receiver, and train the classifier based on the known events and the training CSI associated with each of the events.

Claim (Index 42):
The method of  claim 41 , in which applying the classifier to at least one of the second set of channel state information or data derived from the second set of channel state information to determine which of the known events occurred during the second time period comprises:\n compensating a phase offset in the second set of channel state information; generating a second feature vector based on the second set of channel state information; applying principal component analysis to the second feature vector to generate a third feature vector having a reduced number of dimensions; and applying the support vector machine to the third feature vector to generate an output having information about which of the known events occurred during the second time period.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.06944
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15384217', '14605611', '15284496', '15873806', '13706342']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6071187226230254
- 35 USC 102 Novelty (BERT): 0.506848801630529
- Combined Prediction Score: 0.5970917305237757
- Mean Citation Score: 179.432188
- Max Citation Score: 192.77733
- Similarity Product: 133.21152209670066

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