PATENT CLAIM ANALYSIS

Application Number: 15908179
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["345", "156000"]

Abstract:
The present invention relates to the field of natural human-computer interaction technologies, and discloses a bioelectricity-based control method and apparatus, and a bioelectricity-based controller, so as to improve naturalness of human-computer interaction. The method is as follows: performing characteristic extraction on a collected surface electromyography signal generated when a user performs a finger press operation, so as to obtain characteristic information; determining, according to a pre-created finger type recognition template, a finger type that is used to perform the finger press operation and that is corresponding to the obtained characteristic information; and mapping the determined finger type used to perform the finger press operation to a corresponding first instruction, and controlling a controlled device according to the first instruction. In this way, the controlled device may be controlled in a more harmonious and natural human-computer interaction manner.

Claim (Index 11):
The bioelectricity-based controller according to  claim 9 , wherein the processor is further configured to:\n before performing the characteristic extraction on the collected surface electromyography signal, perform preprocessing and sampling processing on the collected surface electromyography signal, wherein the preprocessing comprises signal amplification and interference suppression.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 88.0
- Lexical Diversity: 2.04054
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14441409', '15202750', '13433845', '15486452', '15570310']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6217338256987902
- 35 USC 102 Novelty (BERT): 0.4887079604836998
- Combined Prediction Score: 0.6084312391772811
- Mean Citation Score: 121.24950199999998
- Max Citation Score: 127.28477
- Similarity Product: 76.90441935145199

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

Dataset: test