PATENT CLAIM ANALYSIS

Application Number: 16069683
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["348", "077000"]

Abstract:
A system for detecting hand gestures in a 3D space comprises a 3D imaging unit. The processing unit generates a foreground map of the at least one 3D image by segmenting foreground from background and a 3D sub-image of the at least one 3D image that includes the image of a hand by scaling a 2D intensity image, a depth map and a foreground map of the at least one 3D image such that the 3D sub-image has a predetermined size and by rotating the 2D intensity image, the depth map and the foreground map of the at least one 3D image such that a principal axis of the hand is aligned to a predetermined axis in the 3D sub-image. Classifying a 3D image comprises distinguishing the hand in the 2D intensity image of the 3D sub-image from other body parts and other objects and/or verifying whether the hand has a configuration from a predetermined configuration catalogue. Further, the processing unit uses a convolutional neural network for the classification of the at least one 3D image.

Claim (Index 15):
A vehicle comprising a system as claimed in  claim 1 .

Metadata:
- Claim Count in Document: 38.0
- Percentile: 95.0
- Lexical Diversity: 2.81538
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13180056', '12351187', '13022118', '12585784', '13855323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6149785756584148
- 35 USC 102 Novelty (BERT): 0.5175540995366587
- Combined Prediction Score: 0.6052361280462393
- Mean Citation Score: 207.601554
- Max Citation Score: 214.83704
- Similarity Product: 102.11286766207218

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