PATENT CLAIM ANALYSIS

Application Number: 16124536
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["345", "156000"]

Abstract:
In an augmented reality and/or a virtual reality system, virtual annotation surfaces, or virtual sheets, or virtual whiteboards, may be materialized in in response to a detected gesture. A user may annotate, adjust, store, review and revise the virtual annotation surfaces, and allow for collaboration with other users, while in the current virtual environment, and/or within another virtual environment, and/or outside of the virtual environment.

Claim (Index 6):
The method of  claim 1 , wherein detecting the selection input comprises detecting, from the one of the first user or the second user, a first selection input corresponding to the selection of the virtual notation surface of the plurality of virtual notation surfaces, the method further comprising:\n detecting, from the other of the first user or the second user, a second selection input corresponding to a selection of the virtual notation surface including the first annotation; retrieving the virtual notation surface including the first annotation in response to the second selection input; and further annotating the selected virtual notation surface with the second annotation in response to the detection of the second gesture.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 97.0
- Lexical Diversity: 1.73333
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15369620', '15369478', '15386594', '15684314', '15379770']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6732896029325123
- 35 USC 102 Novelty (BERT): 0.5380694670427721
- Combined Prediction Score: 0.6597675893435383
- Mean Citation Score: 264.365194
- Max Citation Score: 380.62912
- Similarity Product: 302.12896497703554

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