PATENT CLAIM ANALYSIS

Application Number: 15935048
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["725", "010000"]

Abstract:
A visual utility analytic method for an eye tracking system includes dividing each of a plurality of film segments into at least one display area, wherein each of the plurality of film segments corresponds to at least one display target, and the at least one display target respectively corresponds to one of the at least one display area; and comparing the display area corresponding to the at least one display target in the plurality of film segments with a watched area corresponding to each of a plurality of eye tracking detection results to determine a plurality of visual utilities of the at least one display target in the plurality of film segments.

Claim (Index 19):
The electronic device of  claim 16 , wherein the process further comprises:\n determining at least one of a total watched rate and a non-solo watched rate of the at least one display target according to the plurality of visual utilities, wherein the total watched rate is a ratio of a total watched time and a total show-up time, and the non-solo watched rate is a ratio of a non-solo watched time and a non-solo show-up time, wherein the total show-up time includes a solo show-up time and a non-solo show-up time of the at least one display target.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.69767
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15933388', '12749376', '14255901', '15249032', '12096673']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.416177900130017
- 35 USC 102 Novelty (BERT): 0.5056986036388318
- Combined Prediction Score: 0.4251299704808984
- Mean Citation Score: 152.46731400000004
- Max Citation Score: 272.12332000000004
- Similarity Product: 207.0811204555273

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

Dataset: test