PATENT CLAIM ANALYSIS

Application Number: 15742577
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["345", "156000"]

Abstract:
A method comprising: causing computer implementation of the at least one virtual boundary in a monitoring space corresponding to a monitored scene space; processing sensor data to recognize a first hand gesture, relating to a first hand of a user in the monitored scene space, relative to the at least one computer-implemented virtual boundary in the monitoring space and in response to recognizing the first hand gesture relative to the at least one computer-implemented virtual boundary causing browsing of a plurality of options and processing sensor data to recognize a second hand gesture, relating to a second hand of the user in the monitored scene space, relative to the at least one virtual boundary in the monitoring space and in response to recognizing the second hand gesture in the monitored scene space selecting one of the plurality of options.

Claim (Index 10):
The method according to  claim 9 , further comprising:\n enabling browsing of the plurality of options only when the transition hand gesture is relative to the computer-implemented virtual boundary, and not enabling browsing of the plurality of options when the transition hand gesture is not relative to the computer-implemented virtual boundary.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 3.31818
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15577901', '15750598', '13149737', '15385580', '15699931']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6125821880711506
- 35 USC 102 Novelty (BERT): 0.514344759387526
- Combined Prediction Score: 0.6027584452027882
- Mean Citation Score: 169.502308
- Max Citation Score: 273.36694
- Similarity Product: 166.47853491125346

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