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 15):
The apparatus of  claim 1  in which the storage device further stores instructions that when executed by the processor cause the processor to:\n apply a sliding timing window to a series of sets of measured channel state information, in which the timing window is divided into a plurality of time periods and each time period corresponds to one of the sets of measured channel state information, \n determine a variance of the measured channel state information having timestamps within the timing window, and \n detect human motion based on the variance of the measured 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): 0.605890022532555
- 35 USC 102 Novelty (BERT): 0.5119152803930438
- Combined Prediction Score: 0.5964925483186039
- Mean Citation Score: 179.432188
- Max Citation Score: 192.77733
- Similarity Product: 126.19088435485662

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