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 11):
The system as claimed in  claim 9 , wherein the processing unit is further configured to specify that the hand configuration in the at least one 3D image does not belong to any of the classes if the difference between the highest probability value and the second highest probability value is smaller than a predetermined threshold.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 95.0
- Lexical Diversity: 2.81538
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13180056', '12351187', '13022118', '12585784', '13855323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6466111421694513
- 35 USC 102 Novelty (BERT): 0.5024388103591871
- Combined Prediction Score: 0.6321939089884249
- Mean Citation Score: 207.601554
- Max Citation Score: 214.83704
- Similarity Product: 132.78156473977091

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