PATENT CLAIM ANALYSIS

Application Number: 16512560
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["382", "104000"]

Abstract:
Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

Claim (Index 11):
The non-transitory computer readable storage medium of  claim 10 , wherein the supervised learning based model is one of:\n a random forest regressor, a support vector regressor, a simple neural network, a deep convolutional neural network, a recurrent neural network, or a long- short-term memory (LSTM) neural network.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 100.0
- Lexical Diversity: 2.31818
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15830549', '16381291', '15890009', '16313058', '16213106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2975759704089051
- 35 USC 102 Novelty (BERT): 0.5302725349478457
- Combined Prediction Score: 0.3208456268627992
- Mean Citation Score: 195.517302
- Max Citation Score: 322.2295200000001
- Similarity Product: 219.9885831571341

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