PATENT CLAIM ANALYSIS

Application Number: 15962914
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-07
Patent Classification: ["370", "252000"]

Abstract:
Systems and methods for identifying user density from network data are included herein. Embodiments include a communication tower that allocates communication bandwidth to devices in an area within range of the communication tower. The communication tower can calculate the user density in the area based on the allocation of bandwidth. Further, the types of data and messages exchanged with the devices can indicate the type of device, which can be used to group the devices based on type that are likely associated with a single user. For example, a single user may have a mobile phone, a tablet, and a smartwatch. Additionally, speed of devices can indicate which users are pedestrians. This information can be included in user density information and provided to devices or users to improve public safety, device response to high traffic areas, and so forth.

Claim (Index 5):
The system of  claim 1 , wherein determining the user density in the geographical area based on the allocated cells of communication bandwidth comprises:\n calculating a number of cells that are allocated; and for each cell that is allocated, identifying a number of pedestrians in the geographical area based on a length of time the cell has been allocated; and wherein generating the user density information comprises:\n determining whether the number of pedestrians is above a threshold value; and \n in response to determining the number of pedestrians is above the threshold value, including in the user density information that a pedestrian density is high.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.97436
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13549989', '13593637', '13124745', '15920067', '14614079']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5279767720228299
- 35 USC 102 Novelty (BERT): 0.4748608842094934
- Combined Prediction Score: 0.5226651832414962
- Mean Citation Score: 118.781986
- Max Citation Score: 122.47512
- Similarity Product: 81.08195323874475

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

Dataset: test