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 7):
The method of  claim 6 , wherein determining the section further comprises:\n determining the beginning portion of the tentative section by:\n considering items of the tentative section with increasing time stamp as a current item iteratively, one item at a time, \n computing recursively an activity measure associated with at least one of:\n the current item associated with a current time stamp, \n past items of the tentative section with time stamps not larger than the current time stamp, and \n future items of the tentative section with time stamps not smaller than the current time stamp, \n \n adding the current item to the beginning portion of the tentative section when a first criterion associated with the activity measure is satisfied; and \n determining the ending portion of the tentative section by:\n considering items of the tentative section with decreasing time stamp as a current item iteratively, one item at a time, \n iteratively computing and determining at least one activity measure associated with at least one of:\n the current item associated with a current time stamp, \n past items of the tentative section with time stamps not larger than the current time stamp, and \n future items of the tentative section with time stamps not smaller than the current time stamp, \n \n adding the current item to the ending portion of the tentative section when a second criterion associated with the at least one activity measure is satisfied.

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): 0.5786774692644816
- 35 USC 102 Novelty (BERT): 0.5069581453776382
- Combined Prediction Score: 0.5715055368757973
- Mean Citation Score: 255.455284
- Max Citation Score: 274.34125
- Similarity Product: 191.7349695725739

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