PATENT CLAIM ANALYSIS

Application Number: 16053761
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["455", "456200"]

Abstract:
Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of RF waves caused by the presence of a biological mass in a communications network.

Claim (Index 4):
The method of  claim 1 , further comprising:\n said first transceiver receiving a third set of wireless signals from a third transceiver in said plurality of transceivers; said computer server receiving a third set of signal data from said first transceiver, said third set of signal data comprising data about the properties of said third set of wireless signals, said property data being generated as part of ordinary operation of said first transceiver; said computer server creating a second baseline signal profile for communications from said third transceiver to said first transceiver, said second baseline signal profile being based at least in part on said wireless signal properties in said received third set of signal data, and representing characteristics of wireless transmissions from said third transceiver to said first transceiver when no human is present in said detection area; said first transceiver receiving a fourth set of wireless signals from said third transceiver; said computer server receiving a fourth set of signal data from said first transceiver, said fourth set of signal data comprising data about the properties of said fourth set of wireless signals, said property data being generated as part of ordinary operation of said first transceiver; and in said determining step, said computer server determining whether a human is present within said detection area based at least in part on a comparison of said wireless signal properties in said received fourth set of wireless signal data to said second baseline signal profile.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.43333
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15600380', '15713309', '15084002', '15227717', '15713219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.686800486885589
- 35 USC 102 Novelty (BERT): 0.4932412714581283
- Combined Prediction Score: 0.6674445653428429
- Mean Citation Score: 264.541092
- Max Citation Score: 278.62335
- Similarity Product: 273.07835669887663

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