PATENT CLAIM ANALYSIS

Application Number: 16106380
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-05
Patent Classification: ["701", "031500"]

Abstract:
Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. A computing device may receive acceleration measurement(s) measured by one or more accelerometers during a time window. The computing device may determine, for one or more acceleration measurements, a corresponding acceleration magnitude. Based on the corresponding acceleration magnitude(s), the computing device may identify, from the acceleration measurement(s), an acceleration measurement and/or may determine whether the acceleration magnitude exceeds a threshold acceleration magnitude. The computing device may corroborate whether a vehicle associated with the mobile computing device was involved in a crash. Data associated with the acceleration magnitude and/or an event, such as a crash event, may be transmitted to a server.

Claim (Index 8):
The mobile computing device of  claim 1 , wherein the likelihood that the vehicle associated with the mobile computing device was involved in a crash is determined based on an acceleration magnitude of the one or more acceleration measurements and based on one or more of a deceleration value associated with the vehicle or a distance the vehicle traveled.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.15385
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15900958', '14685067', '15880187', '15665710', '15339966']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4982719242959187
- 35 USC 102 Novelty (BERT): 0.5542988521474752
- Combined Prediction Score: 0.5038746170810744
- Mean Citation Score: 325.2077000000001
- Max Citation Score: 386.83063
- Similarity Product: 342.485358997522

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

Dataset: test