PATENT CLAIM ANALYSIS

Application Number: 15897616
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["297", "452510"]

Abstract:
An apparatus and method are provided for a sofa seat cushion comprising a cushion core including a multiplicity of pocketed springs enclosed within an upholstery foam envelope. The pocketed springs are positioned side by side in a spring layer arrangement and are independently operable. A memory foam layer positioned above the upholstery foam envelope comprises a material capable of molding to a person's body sitting on the sofa seat cushion and then quickly returning to an original shape once the person leaves the sofa seat cushion. The memory foam layer comprises a gel-infused visco-elastic memory foam with a polyethylene terephthalate layer positioned there above. Directly below the upholstery foam envelope is an upholstery-grade polyurethane foam layer with a polyethylene terephthalate layer positioned directly thereunder. An exterior upholstery surrounding the cushion core provides a plush seating surface.

Claim (Index 11):
The sofa seat cushion of  claim 1 , wherein the memory foam layer comprises a material composition configured to contour a person's body in response to heat and pressure due to the person sitting on the sofa seat cushion, the memory foam layer being configured to quickly return to an original shape once the pressure and heat are removed from the sofa seat cushion.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.90667
- Patent Class: 297.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15017182', '13402044', '13239937', '13171099', '14511471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7674722187415526
- 35 USC 102 Novelty (BERT): 0.6044434779670035
- Combined Prediction Score: 0.7511693446640977
- Mean Citation Score: 298.87191
- Max Citation Score: 576.7495
- Similarity Product: 509.5972926673888

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

Dataset: test