PATENT CLAIM ANALYSIS

Application Number: 15903781
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "633000"]

Abstract:
An apparatus and method for performing real object detection and control using a Virtual Reality Head Mounted Display System, and more particularly, when the real object detection and control are detecting hand presence and control in free space, in a virtual reality environment, the control being, for example, gestures or movement, in the free space.

Claim (Index 13):
The system of  claim 10 , wherein:\n the image sensor comprises first and second video cameras, and the real object presence module determines the function of target color probability density functions according to: defining a merged reality space composed of n real space blocks; and for each n real space block. assigning the varied alpha values to the corresponding set of color pixel pairs to each real space block according to the following: If (P(Xs, Ys,Zs) == 0) { Alpha Value at Image Pixel (Xsl ik , Ysl jk ) is set to be \u03c4 Alpha Value at Image Pixel (Xsr ik , Ysr jk ) is set to be \u03c4 } Else{ Alpha Value at Image Pixel (Xsl ik , Ysl jk ) = \u03a8(\u03d5 l  (l(Xsl ik , Ysl jk ))) Alpha Value at Image Pixel (Xsr ik , Ysr jk ) = \u03a8(\u03d5 r (l(Xsr ik , Ysr jk ))) } where \u03c4\u2208[0,1], s\u2208{0 . . . n\u22121}, \u03c6 l  is the PDF of the first video camera which is a left video camera, \u03c6 r  is the PDF of the second video camera which is a right video camera, l is the color and \u03c8 is a pre-defined mapping function of target color probability to alpha blending value starting from \u03c4.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 88.0
- Lexical Diversity: 1.61538
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15283144', '15081758', '15619395', '14626820', '15626065']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6510928521892018
- 35 USC 102 Novelty (BERT): 0.4965127683734077
- Combined Prediction Score: 0.6356348438076225
- Mean Citation Score: 164.833342
- Max Citation Score: 178.04688000000004
- Similarity Product: 109.18848325721744

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