PATENT CLAIM ANALYSIS

Application Number: 16203299
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["370", "252000"]

Abstract:
Apparatus, systems and methods for recognizing and classifying events in a venue based on a wireless signal are disclosed. In one example, a disclosed system comprises a first transmitter, a second transmitter, at least one first receiver, at least one second receiver, and an event recognition engine, in the venue. The first transmitter transmits a training wireless signal through a wireless multipath channel impacted by a known event in the venue in a training time period associated with the known event. Each first receiver receives asynchronously the training wireless signal, and obtains, asynchronously based on the training wireless signal, at least one time series of training channel information of the wireless multipath channel between the first receiver and the first transmitter. The second transmitter transmits a current wireless signal through the wireless multipath channel impacted by a current event in a current time period associated with the current event. Each second receiver receives asynchronously the current wireless signal, and obtains, asynchronously based on the current wireless signal, at least one time series of current channel information of the wireless multipath channel between the second receiver and the second transmitter. The event recognition engine trains a classifier based on the training channel information; and apples the classifier to: classify the current channel information and associate the current event with at least one of: a known event, an unknown event and another event.

Claim (Index 8):
The method of  claim 7 , wherein:\n at least one of the first criterion and the second criterion comprises at least one of:\n the activity measure is smaller than an adaptive upper threshold, \n the activity measure is larger than an adaptive lower threshold, \n the activity measure is smaller than an adaptive upper threshold consecutively for at least a predetermined amount of consecutive time stamps, \n the activity measure is larger than an adaptive lower threshold consecutively for at least an additional predetermined amount of consecutive time stamps, \n the activity measure is smaller than an adaptive upper threshold consecutively for at least a predetermined percentage of the predetermined amount of consecutive time stamps, \n the activity measure is larger than an adaptive lower threshold consecutively for at least another predetermined percentage of the additional predetermined amount of consecutive time stamps, \n another activity measure associated with another time stamp associated with the current time stamp is smaller than another adaptive upper threshold and larger than another adaptive lower threshold, \n at least one activity measure associated with at least one respective time stamp associated with the current time stamp is smaller than respective upper threshold and larger than respective lower threshold, and \n a percentage of time stamps with associated activity measure smaller than respective upper threshold and larger than respective lower threshold in a set of time stamps associated with the current time stamp exceeds a threshold; and \n the activity measure associated with an item at time T 1  comprises at least one of:\n a first function of the item at time T 1  and an item at time T 1 \u2212D 1 , wherein D 1  is a pre-determined positive quantity, \n a second function of the item at time T 1  and an item at time T 1 +D 1 , \n a third function of the item at time T 1  and an item at time T 2 , wherein T 2  is a pre-determined quantity, and \n a fourth function of the item at time T 1  and another item.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 98.0
- Lexical Diversity: 3.80597
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16203317', '16200616', '16101444', '15873806', '16060710']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5784763821461046
- 35 USC 102 Novelty (BERT): 0.5080156352057986
- Combined Prediction Score: 0.571430307452074
- Mean Citation Score: 255.455284
- Max Citation Score: 274.34125
- Similarity Product: 187.9068979789316

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