PATENT CLAIM ANALYSIS

Application Number: 15739274
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "103000"]

Abstract:
Disclosed are a gesture detection and recognition method and system. The gesture detection and recognition method comprises: acquiring and storing an image; adopting a plurality of pre-set classifiers for deleting different gestures to detect each frame of the image according to a pre-set sequence in a frame alternating manner to acquire a gesture target; establishing a skin colour model based on the pixel distribution of the region of the gesture target; and acquiring gesture frequencies of the gesture target in a previous state and a later state according to the skin colour model, and matching the gesture frequencies with a pre-set gesture state, so that a gesture change state is obtained and output. The gesture detection and recognition method and extract a skin colour under specific scene, and can gradually eliminate the influence generated by acute illumination changes, thus realizing the purpose of extracting a gesture change state.

Claim (Index 17):
A gesture detection and recognition system, wherein: the system comprises:\n an acquisition unit for collecting images; a storage unit connecting to said acquisition unit for storing said images; a plurality of classifiers for detecting different gestures connecting to said storage unit for detecting each frame of said images in a way of alternating every two frames in preset order, to obtain gesture target; a skin color modeling unit connecting to said storage unit for establishing skin color models based on pixel distribution in said target area of the gestures; a decision making unit connecting to a plurality of said classifiers and said skin color modeling units respectively, acquiring said gesture frequency of said gesture targets in two consecutive states according to the skin color model, and match said gesture frequency with preset gesture state, to acquire gesture transition state and output.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.03846
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15346665', '14985728', '15854847', '13830787', '12885104']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3101259651585102
- 35 USC 102 Novelty (BERT): 0.4933742631903737
- Combined Prediction Score: 0.3284507949616966
- Mean Citation Score: 184.26231
- Max Citation Score: 197.5683
- Similarity Product: 141.22961658196448

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