PATENT CLAIM ANALYSIS

Application Number: 15741571
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["348", "144000"]

Abstract:
A method comprising: recognizing a first two-handed gesture and a second two-handed gesture in a monitored scene space to at least partially define a shape and position of a computer-implemented virtual boundary in a corresponding monitoring space, wherein the first two-handed gesture in the monitored scene space specifies a first two points in the monitoring space and the second two-handed gesture in the monitored scene space specifies a second two points in the monitoring space; causing implementation of the computer-implemented virtual boundary in the monitoring space corresponding to the monitored scene space, wherein a shape and position of the computer-implemented virtual boundary is at least partially defined by the first two points in the monitoring space and the second two points in the monitoring space; and processing received data to generate a response event when there is a change in a portion of the monitored scene space relative to the computer-implemented virtual boundary in the corresponding monitoring space.

Claim (Index 20):
The apparatus of  claim 16 , wherein the computer-implemented virtual boundary is defined by movement of only a single drone in the monitored scene space.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 3.15385
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15577901', '15742577', '15750598', '14987000', '14858038']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6551900544207826
- 35 USC 102 Novelty (BERT): 0.4813872333187873
- Combined Prediction Score: 0.6378097723105831
- Mean Citation Score: 181.561934
- Max Citation Score: 214.69984
- Similarity Product: 173.0833898287201

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