PATENT CLAIM ANALYSIS

Application Number: 16055361
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["342", "451000"]

Abstract:
Systems and methods of using a machine learning model to detect physical characteristics of an environment based on radio signal data include at a radio signal receiver, collecting noise floor signal data comprising radio signal data from an environment within a predetermined proximity of the radio signal receiver; implementing a trained deep machine learning classifier that is trained to classify one or more physical characteristics of the environment based on the radio signal data; generating machine learning input based on the radio signal data collected by the radio signal receiver; receiving the machine learning input at the trained deep machine learning classifier; and generating by the trained deep machine learning model one or more classification labels identifying the one or more physical characteristics of the environment based on the noise floor signal data.

Claim (Index 2):
The system according to  claim 1 , wherein\n the one or more classification labels are collected as input by one or more autonomous devices, and in response to collecting the one or more classification labels, triggering one or more automatic actions by the one or more autonomous devices, wherein the one or more automatic actions by the one or more autonomous devices includes one or more of recording details of the one or more pre-trained sensory conditions associated with the one or more classification labels, performing an actuation in response to detecting the one or more pre-trained sensory conditions, and generating and transmitting a communication comprising details of the one or more pre-trained sensory conditions.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 2.62264
- Patent Class: 342.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15955485', '14330202', '15961465', '14879787', '15604473']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5511724536630229
- 35 USC 102 Novelty (BERT): 0.4836795278591899
- Combined Prediction Score: 0.5444231610826396
- Mean Citation Score: 190.833904
- Max Citation Score: 201.8988
- Similarity Product: 140.056827641201

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test