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 18):
The device of  claim 13 , wherein the deep learning algorithm is trained against a database comprising labeled gesture actions associated with optical flows.

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): 0.4960476429686467
- 35 USC 102 Novelty (BERT): 0.5014949981480463
- Combined Prediction Score: 0.4965923784865867
- Mean Citation Score: 156.40252200000003
- Max Citation Score: 161.97742
- Similarity Product: 87.613121759305

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