PATENT CLAIM ANALYSIS

Application Number: 15881923
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["345", "419000"]

Abstract:
A method includes defining a virtual space. The virtual space includes a first avatar object associated with a first user and a second avatar object associated with a second user. The method further includes playing back 360-degree content. The method further includes moving the first avatar object in response to a first input by the first user; and moving the second avatar object in response to a second input by the second user. The method further includes storing motion data for moving the second avatar object irrespective to the second input. The method further includes associating the motion data with a spatial position in the 360-degree content and a playback time. The method further includes identifying the motion data corresponding to identified spatial position and identified current playback time. The method further includes moving the second avatar object based on the identified motion data.

Claim (Index 10):
The method according to  claim 9 , further comprising acquiring second emotion data representing an emotion at a time when the second user is viewing the 360-degree content,\n wherein the emotion of the second avatar is identified based on the first emotion data and the second emotion data.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 3.32609
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15853931', '15834022', '15881503', '15870710', '15853921']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6266865463116611
- 35 USC 102 Novelty (BERT): 0.5166243867155973
- Combined Prediction Score: 0.6156803303520547
- Mean Citation Score: 264.039796
- Max Citation Score: 277.0314
- Similarity Product: 182.5229013950229

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

Dataset: test