PATENT CLAIM ANALYSIS

Application Number: 16268653
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["345", "166000"]

Abstract:
A three-dimensional (3D) maneuvering device generates 3D data by irradiating a two-dimensional (2D) reference surface with light of variable frequency. The 3D maneuvering device has high sensitivity, high resolution, and immunity from the noise caused by human vibrations. A rotational motion vector is derived by comparing the relative motion vectors derived from a pattern recognition process of surface features on the same reference plane with the positional data derived using the color index data. Thus, a single gestural movement of the operator's hand provides both the translational and rotational motion data simultaneously.

Claim (Index 1):
A maneuvering system configured for: 1) maneuvering a 3D object in a 3D graphical rendering system and: 2) controlling 3D motion in an electronic or electromechanical device, wherein 1) and 2) are simultaneously achieved by using two independent sets of data obtained from a single planar reference surface illuminated by said maneuvering system wherein said two independent sets of data are obtained from the analysis of electromagnetic radiation of variable wavelengths and intensities emitted by said illuminated planar reference surface, and from motion detection of targeted topological features on said planar reference surface.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 99.0
- Lexical Diversity: 1.57576
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14294369', '14328740', '15642414', '14056140', '13834085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7047534741286391
- 35 USC 102 Novelty (BERT): 0.6056413935224189
- Combined Prediction Score: 0.6948422660680171
- Mean Citation Score: 286.230258
- Max Citation Score: 477.13052000000016
- Similarity Product: 420.09577099283706

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