PATENT CLAIM ANALYSIS

Application Number: 15926787
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["345", "474000"]

Abstract:
This disclosure relates to methods, non-transitory computer readable media, and systems that use a motion synthesis neural network with a forward kinematics layer to generate a motion sequence for a target skeleton based on an initial motion sequence for an initial skeleton. In certain embodiments, the methods, non-transitory computer readable media, and systems use a motion synthesis neural network comprising an encoder recurrent neural network, a decoder recurrent neural network, and a forward kinematics layer to retarget motion sequences. To train the motion synthesis neural network to retarget such motion sequences, in some implementations, the disclosed methods, non-transitory computer readable media, and systems modify parameters of the motion synthesis neural network based on one or both of an adversarial loss and a cycle consistency loss.

Claim (Index 1):
A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computing device to:\n input initial joint features for joints of an initial skeleton into a motion synthesis neural network, wherein the initial joint features correspond to an initial time of a motion sequence and the motion synthesis neural network comprises an encoder recurrent neural network, a decoder recurrent neural network, and a forward kinematics layer; utilize the encoder recurrent neural network and the decoder recurrent neural network to generate predicted joint rotations for joints of a target skeleton for an initial time of a target motion sequence based on the initial joint features; utilize the forward kinematics layer to generate predicted joint features for joints of the target skeleton for the initial time of the target motion sequence based on the predicted joint rotations, the target motion sequence of the target skeleton corresponding to the motion sequence of the initial skeleton; and based on the predicted joint features, render an animated object performing the target motion sequence of the target skeleton corresponding to the motion sequence of the initial skeleton.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.31667
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15807028', '15174863', '15224519', '15147222', '15872408']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6302933299343034
- 35 USC 102 Novelty (BERT): 0.5068405844295047
- Combined Prediction Score: 0.6179480553838236
- Mean Citation Score: 221.958358
- Max Citation Score: 235.20923
- Similarity Product: 161.17629400214196

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

Dataset: test