PATENT CLAIM ANALYSIS

Application Number: 15942709
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["345", "174000"]

Abstract:
The present invention relates to the field of touch technologies, and provides a force detection method, apparatus and device. The force detection method includes: receiving a deformation caused by external force and identified by at least one sensing electrode, and converting the deformation into a corresponding raw feature value characterized by an electrical signal, wherein the raw feature value corresponds to the force; and calculating force information fed back by the at least one sensing electrode according to the raw feature value of the at least one sensing electrode. With the force detection method, apparatus and device according to the invention, when a plurality of positions is pressed by force, the force information at each position may be accurately acquired. In practice, multi-finger press detection may be implemented on the touch screen by using fewer electrodes, thereby reducing the cost and improving the user experience.

Claim (Index 15):
The force detection device according to  claim 14 , wherein the force sensor further comprises a press surface and a detection circuit unit; wherein when the external force is applied to the press surface, the deformation of the press surface causes a resistance and/or capacitance variation between the press surface and the sensing electrode, and the detection circuit unit is configured to identify the resistance and/or capacitance variation and convert the variation into an electrical signal, the electrical signal is output in a specific format to be the raw feature value representing a corresponding press force.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 2.02532
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15694823', '15694797', '15455731', '15937832', '15425998']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6194196325996942
- 35 USC 102 Novelty (BERT): 0.4945404368624289
- Combined Prediction Score: 0.6069317130259677
- Mean Citation Score: 186.08826
- Max Citation Score: 224.78049
- Similarity Product: 173.94511471792816

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