PATENT CLAIM ANALYSIS

Application Number: 16391854
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["348", "211990"]

Abstract:
A computer-implemented method includes: receiving, by a computing device, criteria for timing a capture of a photograph by an associated camera device; receiving, by the computing device, an instruction to capture the photograph at a time determined based on the criteria; obtaining, by the computing device, information regarding a status of one or more photograph participants from one or more wearable computing devices worn by the one or more photograph participants; determining, by the computing device, the time to capture the photograph based on the criteria and the status of the one or more photograph participants; and capturing, by the computing device, the photograph at the determined time.

Claim (Index 4):
The method of  claim 1 , further comprising:\n determining respective identities of each of the one or more photograph participants; and determining historical blink rate information or historical eye moisture level patterns of each of the one or more photograph participants based on the identities, wherein the determining the time to capture the photograph is further based on the historical blink rate information or the historical eye moisture level patterns.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.75556
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15363549', '14934724', '13721688', '15349104', '13363058']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6035952984818684
- 35 USC 102 Novelty (BERT): 0.532504353402625
- Combined Prediction Score: 0.5964862039739441
- Mean Citation Score: 195.037726
- Max Citation Score: 370.39355
- Similarity Product: 266.5226226787716

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

Dataset: test