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 8):
The apparatus according to  claim 7 , wherein the surface electromyography signal comprises multiple channel sub-signals; and\n the determining unit is specifically configured to determine the amplitude of the surface electromyography signal in the following manner: performing cumulative average calculation on signal amplitudes of all channel sub-signals comprised in the collected surface electromyography signal, so as to obtain an average signal amplitude of the surface electromyography signal, and using the average signal amplitude as the amplitude of the surface electromyography signal.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 88.0
- Lexical Diversity: 2.04054
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14441409', '15202750', '13433845', '15486452', '15570310']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6313094720031699
- 35 USC 102 Novelty (BERT): 0.4543193231509949
- Combined Prediction Score: 0.6136104571179524
- Mean Citation Score: 121.24950199999998
- Max Citation Score: 127.28477
- Similarity Product: 103.07818442321656

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