PATENT CLAIM ANALYSIS

Application Number: 15872564
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["340", "573400"]

Abstract:
A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required.

Claim (Index 1):
A system for detecting when a monitored individual or any part of the monitored individual has crossed outside of a designated electronic perimeter, the system comprising:\n one or more 3D camera, motion and sound sensors within a room occupied by a specific individual to be monitored, the one or more 3D camera, motion and sound sensors configured to: recognize one or more biometric identifiers of the specific individual; and electronically forward a continuous video feed to a computerized virtual safety rail monitoring system; wherein the computerized virtual safety rail monitoring system is configured to:\n electronically designate virtual safety rails defining a designated electronic perimeter within an area of the room; and \n detect whether the specific individual or any part of the specific individual has crossed over the designated electronic perimeter based on 3D information from the continuous video feed received from the one or more 3D camera, motion and sound sensors; and \n a centralized monitoring station configured to receive and display the continuous video feed.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 86.0
- Lexical Diversity: 1.19608
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15279054', '14728762', '15728110', '14623349', '14727434']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7133946443219391
- 35 USC 102 Novelty (BERT): 0.5652827302367432
- Combined Prediction Score: 0.6985834529134196
- Mean Citation Score: 359.272058
- Max Citation Score: 384.33655
- Similarity Product: 375.3269668993533

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