PATENT CLAIM ANALYSIS

Application Number: 16152326
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["345", "178000"]

Abstract:
An image jaggedness filter is disclosed that can be used to detect the presence of ungrounded objects such as water droplets or coins, and delay periodic baseline adjustments until these objects are no longer present. To do otherwise could produce inaccurate normalized baseline sensor output values. The application of a global baseline offset is also disclosed to quickly modify the sensor offset values to account for conditions such as rapid temperature changes. Background pixels not part of any touch regions can be used to detect changes to no-touch sensor output values and globally modify the sensor offset values accordingly. The use of motion dominance ratios and axis domination confidence values is also disclosed to improve the accuracy of locking onto dominant motion components as part of gesture recognition.

Claim (Index 19):
The non-transitory computer readable storage medium of  claim 18 , the method further comprising adjusting the sensor output values using the local baseline offset values by subtracting a local baseline offset value from the sensor output value captured for each of the plurality of the sensors, the local baseline offset value indicative of an amount of misalignment of the sensor output value for a particular sensor with respect to the sensor output values from other sensors.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 1.57647
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12238333', '14273403', '11650112', '12905878', '13708675']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6578393785869344
- 35 USC 102 Novelty (BERT): 0.5334685261256499
- Combined Prediction Score: 0.645402293340806
- Mean Citation Score: 257.527056
- Max Citation Score: 375.6529
- Similarity Product: 253.5401866283953

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