PATENT CLAIM ANALYSIS

Application Number: 16245597
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["455", "456100"]

Abstract:
One or more location analysis computing devices and methods are disclosed herein for determining the position of a mobile device (smartphone, tablet computer) within an interior of a vehicle. The position of the mobile device may be calculated by detecting changes in accelerometer data. The accelerometer data may first need to be translated to determine corresponding axes, since the device may not be right side up (e.g., in a pocket). The vehicle may travel over road discontinuities such as bumps, and calculating the position of the mobile device may be based on the different magnitude and angle resulting from a first tire and a second tire hitting the bump. Data from vehicle sensors or other mobile device sensors may also be used in the calculating. Once the position is determined, commands may be sent to the mobile device to deactivate certain functionality, or to a remote server for further processing.

Claim (Index 2):
The location analysis computing device of  claim 1 , wherein comparing the calculated first occurrence vector and the calculated second occurrence vector comprises determining a difference between the calculated first occurrence vector and the calculated second occurrence vector, wherein the difference between the calculated first occurrence vector and the calculated second occurrence vector comprises a difference in the first occurrence magnitude and the first occurrence angle and the second occurrence magnitude and the second occurrence angle, respectively.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.82418
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15066406', '15470263', '15841867', '15263562', '14139510']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7026759563491309
- 35 USC 102 Novelty (BERT): 0.5370297546474679
- Combined Prediction Score: 0.6861113361789647
- Mean Citation Score: 236.446228
- Max Citation Score: 375.03326
- Similarity Product: 373.9639919546437

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

Dataset: test