PATENT CLAIM ANALYSIS

Application Number: 16059659
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Systems and methods described herein utilize a deep learning algorithm to recognize gestures and other actions on a projected user interface provided by a projector. A camera that incorporates depth information and color information records gestures and actions detected on the projected user interface. The deep learning algorithm can be configured to be engaged when an action is detected to save on processing cycles for the hardware system.

Claim (Index 8):
The system of  claim 7 , wherein the processor is configured to:\n conduct detection of the interaction recorded by the camera system through a determination, from depth information from the camera system, whether an interaction has occurred in proximity to the UI widget of the projected user interface; for the determination that the interaction has occurred in the proximity to the UI widget of the projected user interface, determine that the interaction is detected, conduct the determination of the execution of the command for action based on the application of the deep learning algorithm, and execute the command for action corresponding to a recognized gesture action determined from the deep learning algorithm; and for the determination that the interaction has not occurred in the proximity to the UI widget of the projected user interface, determination that the interaction is not detected and not conducting the application of the deep learning algorithm.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.47917
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13446793', '14151744', '15109148', '11552811', '15493070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.531288524771869
- 35 USC 102 Novelty (BERT): 0.4827591852557578
- Combined Prediction Score: 0.5264355908202579
- Mean Citation Score: 156.40252200000003
- Max Citation Score: 161.97742
- Similarity Product: 108.5091081307435

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