PATENT CLAIM ANALYSIS

Application Number: 16072465
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["455", "550100"]

Abstract:
Embodiments of the present application disclose a mobile terminal. The mobile terminal includes a fingerprint identification module and a terminal screen. The terminal screen includes a display area and a non-display area located at an end of the display area, and the display area has a display surface. The fingerprint identification module is adjacent to the non-display area relative to the display area, a forward projection of the fingerprint identification module on a plane where the display surface is located is at least partially overlapped with a forward projection of the non-display area on the plane where the display surface is located.

Claim (Index 17):
A terminal, comprising:\n a fingerprint identification module and a terminal screen; the terminal screen comprising a display area and a non-display area located at an end of the display area, the display area having a display surface; the fingerprint identification module being adjacent to the non-display area relative to the display area, in a direction perpendicular to a plane where the display surface is located, the fingerprint identification module and the non-display area being at least partially overlapped.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 95.0
- Lexical Diversity: 2.7
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15934280', '15708239', '15659321', '15854956', '15249997']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6762203427494408
- 35 USC 102 Novelty (BERT): 0.469703926827072
- Combined Prediction Score: 0.6555687011572039
- Mean Citation Score: 159.98898
- Max Citation Score: 165.2781
- Similarity Product: 123.93244923985004

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