PATENT CLAIM ANALYSIS

Application Number: 16027306
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["340", "539120"]

Abstract:
A non-wearable Personal Emergency Response System (PERS) architecture is provided, implementing RF interferometry using synthetic aperture antenna arrays to derive ultra-wideband echo signals which are analyzed and then processed by a two-stage human state classifier and abnormal states pattern recognition. Systems and methods transmit ultra-wide band radio frequency signals at, and receive echo signals from, the environment, process the received echo signals to yield a range-bin-based slow signal that is spatially characterized over a plurality of spatial range bins, and estimate respiration parameter(s) of the human(s) by analyzing the slow signal. The antennas may be arranged in several linear baselines, implement virtual displacements, and may be set into multiple communicating sub-arrays. A classifier uses respiration and other derived features to classify the state of the human(s). A decision process is carried out based on the instantaneous human state (local decision) followed by abnormal states patterns recognition (global decision).

Claim (Index 5):
The non-wearable system of  claim 1 , wherein the system is configured to apply pattern recognition to identify, based on the one or more human states, whether the human is in a normal or abnormal state.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.63551
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15086074', '15008460', '15049156', '14983632', '14753062']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6763819483030388
- 35 USC 102 Novelty (BERT): 0.5245159991982228
- Combined Prediction Score: 0.6611953533925572
- Mean Citation Score: 244.854612
- Max Citation Score: 285.7627
- Similarity Product: 209.23303786082263

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