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 13):
The apparatus of  claim 1  in which at least one of:\n (a) 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 apply the classifier to each of the plurality of sets of measured channel state information having a timestamp within the timing window to identify one of the plurality of known events for each of the time periods of the timing window, and \n detect the current event based on the known events associated with the time periods of the timing window, or \n \n (b) detecting the current event comprises determining the known event that occurs within a sliding timing window that is divided into a plurality of time periods for a largest number of time periods.

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): 0.6056124427842113
- 35 USC 102 Novelty (BERT): 0.5130587310183553
- Combined Prediction Score: 0.5963570716076257
- Mean Citation Score: 179.432188
- Max Citation Score: 192.77733
- Similarity Product: 124.60599864412666

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