PATENT CLAIM ANALYSIS

Application Number: 16228897
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["382", "103000"]

Abstract:
A method for gesture identification with natural images includes generating a series of variant images by using each two or more successive ones of the natural images, extracting an image feature from each of the variant images, and comparing the varying pattern of the image feature with a gesture definition to identify a gesture. The method is inherently insensitive to indistinctness of images, and supports the motion estimation in axes X, Y, and Z without requiring the detected object to maintain a fixed gesture.

Claim (Index 2):
The method of  claim 1 , wherein the step A comprises the step of generating the series of the images before selecting successive images from the series of the images.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 98.0
- Lexical Diversity: 1.625
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15851712', '14047439', '14996777', '12730355', '13865990']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2906866501468185
- 35 USC 102 Novelty (BERT): 0.5122388153899757
- Combined Prediction Score: 0.3128418666711343
- Mean Citation Score: 169.967012
- Max Citation Score: 257.25067
- Similarity Product: 180.1324752721328

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test