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 13):
A device, 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 special purpose hardware processor, configured to apply a deep learning algorithm trained to recognize gesture actions from an interaction recorded by the camera system upon detection of the interaction recorded by the camera system, the special purpose hardware processor configured to:\n for a non-detection of the interaction, not applying the deep learning algorithm; and for a detection of the interaction, determine execution of a command for action based on an 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: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13446793', '14151744', '15109148', '11552811', '15493070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5010120060063457
- 35 USC 102 Novelty (BERT): 0.4827190174600337
- Combined Prediction Score: 0.4991827071517145
- Mean Citation Score: 156.40252200000003
- Max Citation Score: 161.97742
- Similarity Product: 106.26694160764694

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