PATENT CLAIM ANALYSIS

Application Number: 16401017
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["725", "141000"]

Abstract:
Disclosed are systems and methods for improving image recognition by using information from sensor data. In one embodiment, the method comprises receiving one or more sensor records, the sensor records representing timestamped sensor data collected by a sensor recording device; selecting an event based on the sensor records; identifying a time associated with the event; retrieving a plurality of timestamped video frames; synchronizing the sensor records and the video frames, wherein synchronizing the sensor records and the video frames comprises synchronizing the timestamped sensor data with individual frames of the timestamped video frames according to a common timeframe; and selecting a subset of video frames from the plurality of timestamped video frames based on the selected event.

Claim (Index 4):
The method of  claim 3  wherein performing image recognition on the selected subset of video frames comprises:\n training a machine learning algorithm using at least one video frame from the subset of video frames, the machine learning algorithm configured to automatically detect participants in a set of video frames; \n receiving a second subset of video frames; \n providing the second subset of frames to the machine learning algorithm; and \n classifying one or more frames of the second subset of frames based on the detection of a participant within the one or more frames by the machine learning algorithm.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 2.22807
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15334131', '14801568', '10869020', '15986391', '13734818']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.475513879519614
- 35 USC 102 Novelty (BERT): 0.6449241704606008
- Combined Prediction Score: 0.4924549086137127
- Mean Citation Score: 217.28603200000003
- Max Citation Score: 414.56354
- Similarity Product: 413.0159581777119

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