PATENT CLAIM ANALYSIS

Application Number: 16408731
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["709", "219000"]

Abstract:
The present invention broadly comprises crowd-sourced computer-implemented methods and systems of collecting and transforming portable device data. One embodiment of the invention may be implemented as a system including an electronic device including a sensor configured to collect data, the device configured to begin collection of data based on a command from a user of the electronic device; and a server configured to issue a command to the electronic device to turn on the sensor and transmit data collected by the sensor to the server without any input by the user of the electronic device when a condition is met.

Claim (Index 13):
A mobile device comprising:\n a display; a sensor; and a processing system including at least one processor and coupled to the display and the sensor, the processing system configured to:\n receive, from a server, event information for an event at a physical location within vicinity of the mobile device; \n display at least a portion of the event information on the display, the displayed event information including locations for a plurality of mobile devices located in the vicinity of the physical location; \n in response to a command, record video, audio and/or imagery data using the sensor; and \n transmit, to the server, the recorded video, audio and/or imagery data.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 1.89091
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14561564', '13554692', '14751284', '16115559', '15959249']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2419238017800223
- 35 USC 102 Novelty (BERT): 0.5194022319631482
- Combined Prediction Score: 0.2696716447983349
- Mean Citation Score: 180.108642
- Max Citation Score: 353.70352
- Similarity Product: 298.0102793769169

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

Dataset: test