PATENT CLAIM ANALYSIS

Application Number: 15862545
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "103000"]

Abstract:
Methods and systems for capturing motion and/or determining the shapes and positions of one or more objects in  3 D space utilize cross-sections thereof. In various embodiments, images of the cross-sections are captured using a camera based on edge points thereof.

Claim (Index 23):
A method of using a smart phone to identify a position and a shape of a human hand moving in a three-dimensional (3D) space, the method comprising:\n executing instructions on a fixed function logic circuit of the smart phone to implement actions including:\n analyzing two or more images captured by a camera from a particular vantage point to computationally represent a portion of a human hand as one or more mathematically represented 3D surfaces, each 3D surface corresponding to a cross-section of the portion of the human hand, based at least in part on a plurality of edge points of the portion of the human hand in the image, tangent lines extending from the camera to at least two edge points of the plurality of edge points, and a centerline corresponding to the tangent lines; and \n reconstructing the position of, and the shape fitting, at least the portion of the human hand in the 3D space based at least in part on the plurality of edge points and the centerline.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 86.0
- Lexical Diversity: 1.15789
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15681279', '15387353', '15253741', '14710512', '14710499']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3602226633514411
- 35 USC 102 Novelty (BERT): 0.5756724687634834
- Combined Prediction Score: 0.3817676438926454
- Mean Citation Score: 400.207394
- Max Citation Score: 460.60114
- Similarity Product: 425.9700467111396

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