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 7):
A system, comprising:\n a projector system, configured to project a user interface (UI) directly outwards onto a real world location; a camera system, configured to record interactions on the projected user interface; and a processor, configured to:\n upon detection of an interaction recorded by the camera system: \n compute an optical flow for a region within the projected UI for color channels and depth channels of the camera system; \n apply a deep learning algorithm on the optical flow to recognize a gesture action with a UI widget, the deep learning algorithm trained to recognize gesture actions from the optical flow; and for the gesture action being recognized, execute a command corresponding to the recognized gesture action and the UI widget.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.47917
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13446793', '14151744', '15109148', '11552811', '15493070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5041626146704069
- 35 USC 102 Novelty (BERT): 0.4708247033455525
- Combined Prediction Score: 0.5008288235379215
- Mean Citation Score: 156.40252200000003
- Max Citation Score: 161.97742
- Similarity Product: 118.10564225289464

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