PATENT CLAIM ANALYSIS

Application Number: 15892174
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "174000"]

Abstract:
Automotive acceleration compensation force sensing includes determining a total force value from the measurements from force sensors, obtaining, from an accelerometer, an environmental acceleration value, and calculating an input object force value on an input surface using a total force value and the environmental acceleration value. Automotive acceleration compensation force sensing further includes reporting the input object force value.

Claim (Index 17):
A system for automotive acceleration compensation force sensing, the system comprising:\n an accelerometer configured to measure an environmental acceleration value; a plurality of force sensors utilizing capacitive sensing; and processing circuitry communicatively coupled to the plurality of force sensors and the accelerometer, the processing circuitry configured to:\n determine a total force value from a plurality of measurements obtained from the plurality of force sensors, \n obtain, from the accelerometer, the environmental acceleration value, \n calculate an input object force value on an input surface using the total force value and the environmental acceleration value, and \n report the input object force value.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 88.0
- Lexical Diversity: 2.24138
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15038972', '15382384', '15397534', '15692191', '15257969']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6335715735729862
- 35 USC 102 Novelty (BERT): 0.4843053605731427
- Combined Prediction Score: 0.6186449522730019
- Mean Citation Score: 170.10703999999996
- Max Citation Score: 183.19235
- Similarity Product: 125.729808766377

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