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 10):
The apparatus of  claim 1  in which each of the at least one classifier is configured to compute, for each of some of the sets of training channel state information, a similarity value representing a similarity between the set of measured channel state information and the set of training channel state information, and\n wherein applying the classifier to at least one of the set of measured channel state information or data derived from the set of measured channel state information comprises identifying one of the sets of training channel state information that is most similar to the set of measured channel state information, and identifying the known event associated with the identified set of training channel state information.

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): 0.6055485178142036
- 35 USC 102 Novelty (BERT): 0.5133220676798762
- Combined Prediction Score: 0.5963258728007709
- Mean Citation Score: 179.432188
- Max Citation Score: 192.77733
- Similarity Product: 124.24100531701863

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