PATENT CLAIM ANALYSIS

Application Number: 15911067
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["345", "174000"]

Abstract:
Touch slider-position sensing useable with a capacitive touch sensor that includes multiple capacitive electrodes arranged to define a slider track. The touch slider-position sensing methodology includes: (a) generating a set of calibration vectors for points of the slider track; (b) determining a touch slider-position based on (i) measuring a measurement/data vector associated with the touch-press slider-location, (ii) determining an angle between the measurement/data vector and a subset of the calibration vectors, and (iii) determining touch slider-position based on the angles between the measurement data vectors and the subset of calibration vectors. The method can include performing a quadratic or higher order interpolation of the angles between the measurement/data vector and the subset of the calibration vectors.

Claim (Index 1):
A method for touch slider-position sensing with a capacitive touch sensor that includes multiple capacitive electrodes arranged to define a slider track, comprising:\n generating a set of calibration vectors for points of the slider track; determining a touch slider-position based on\n measuring a measurement/data vector associated with the touch-press slider-location, \n determining an angle between the measurement/data vector and a subset of the calibration vectors; \n determining touch slider-position based on the angles between the measurement data vectors and the subset of calibration vectors.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.07812
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12200623', '13588477', '12339776', '15016484', '10147604']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5749782260330603
- 35 USC 102 Novelty (BERT): 0.473880290023099
- Combined Prediction Score: 0.5648684324320641
- Mean Citation Score: 135.874274
- Max Citation Score: 153.95323
- Similarity Product: 115.08612369724273

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

Dataset: test