PATENT CLAIM ANALYSIS

Application Number: 15922591
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["345", "419000"]

Abstract:
Techniques for generating locomotion data for animating a virtual quadruped model, starting at an origin point and travelling to a destination point along a defined path. A virtual skeletal structure for the virtual quadruped model is analyzed to identify a torso region, limbs each ending in a respective end effector, and limb attributes. A predefined locomotion template for virtual quadruped characters is retrieved and mapped to the virtual quadruped model by aligning the torso region and the plurality of limbs of the virtual skeletal structure for the virtual quadruped with a second torso region and a second plurality of limbs of the predefined locomotion template. Locomotion data is generated for the virtual quadruped model based on the defined path and by upscaling the mapped predefined locomotion template, based at least on the set of limb attributes determined by analyzing the virtual skeletal structure for the virtual quadruped model.

Claim (Index 6):
The method of  claim 5 , wherein generating locomotion data for the virtual quadruped model based on the defined path and by upscaling the mapped predefined locomotion template, based at least on the set of limb attributes determined by analyzing the virtual skeletal structure for the virtual quadruped model, further comprises:\n retrieving respective locomotion data for each of the plurality of different axes; and blending the retrieved locomotion data for a first axis of the plurality of different axes together with retrieved locomotion data for a second axis of the plurality of different axes.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 2.51613
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15292525', '14869514', '14125483', '12698128', '15342661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.616689283909503
- 35 USC 102 Novelty (BERT): 0.4984315243029625
- Combined Prediction Score: 0.6048635079488489
- Mean Citation Score: 196.488974
- Max Citation Score: 216.429
- Similarity Product: 143.08560444009305

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