PATENT CLAIM ANALYSIS

Application Number: 15876093
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-12
Patent Classification: ["084", "615000"]

Abstract:
In one embodiment, an electronic musical instrument (EMI) (or “electronic multi-instrument) is described that separates pitch choice from percussive sound control (“articulation”). A pitch sensor interface (by which notes are selected) may comprise a software-programmed touchscreen interface (that can be modeled on existing musical instruments or entirely new) configured to allow pitch choice, while sound control may be made on a separate articulation control sensor (by which notes are triggered and modified), such as an illustrative double-sided touch pad, that senses one or more of a velocity, pressure, movement, and location of a user's contact. The design facilitates a portable, ergonomic, and intuitive way to express music via standard digital protocols (e.g., MIDI) through a physical interface that encourages fluid, non-static, personally distinguishable musical expression. Notably, the instrument may illustratively be a controller that requires a compatible synthesizer sound source (e.g., on-board or separate).

Claim (Index 8):
The method as in  claim 1 , wherein the articulation sensor is a multi-faceted articulation sensor with a plurality of articulation sensors.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.73333
- Patent Class: 84.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13787734', '14814350', '13787738', '14737514', '12468000']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6423585611743826
- 35 USC 102 Novelty (BERT): 0.4966422906527197
- Combined Prediction Score: 0.6277869341222164
- Mean Citation Score: 214.03102200000004
- Max Citation Score: 232.5572
- Similarity Product: 142.7817675338745

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