PATENT CLAIM ANALYSIS

Application Number: 16131489
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["701", "036000"]

Abstract:
A computer-implemented process for controlling a vehicle interior includes detecting a previously defined situation that relates to an undesirable environmental condition of the vehicle interior, and assessing both a risk level and an urgency level, based on a vehicle sensor input and vehicle historical records. The process also includes generating a vehicle command based upon the detected previously defined situation, the assessed risk level, and assessed urgency level, and executing the generated vehicle command to control at least one of an engine, a window, and a heating, ventilation and air conditioning (HVAC) unit to modify an environmental condition of the vehicle interior. The process also comprises performing in a cyclically recurring manner, until the detected previously defined situation is resolved, re-assessing the risk level, the urgency level, or both, re-generating a vehicle command, and executing the re-generated vehicle command.

Claim (Index 18):
The computer implemented process of  claim 14 , wherein:\n determining vehicle occupancy comprises: determining a presence of a person in the vehicle; and\n determining whether the detected person is an adult or child by determining whether a weight of the person exceeds a predetermined threshold; and \n performing a first predetermined action comprises performing a first action if the person is an adult, and a second action different from the first action if the person is a child.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 97.0
- Lexical Diversity: 2.16438
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15631456', '14749373', '15588216', '15461029', '10703957']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4358948070731117
- 35 USC 102 Novelty (BERT): 0.4989092334602188
- Combined Prediction Score: 0.4421962497118224
- Mean Citation Score: 144.859556
- Max Citation Score: 145.8115
- Similarity Product: 78.23012608373162

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