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 2):
The method according to  claim 1 , before the performing characteristic extraction on the collected surface electromyography signal, further comprising:\n performing 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: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14441409', '15202750', '13433845', '15486452', '15570310']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5956169724743524
- 35 USC 102 Novelty (BERT): 0.4779890167152788
- Combined Prediction Score: 0.5838541768984451
- Mean Citation Score: 121.24950199999998
- Max Citation Score: 127.28477
- Similarity Product: 82.55259028251052

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