PATENT CLAIM ANALYSIS

Application Number: 15957073
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["455", "041200"]

Abstract:
Described herein is a device that includes: a storage with a data repository of BlueTooth (BT) listening device identification and corresponding features; and an audio processor coupled to the storage. The audio audio processor is further configured to execute instructions to: scan, connect, and receive an identification of a connected BT listening device; detect features of the connected BT listening device based from the received identification; manipulate an audio signal based from the detected features; and facilitate transmission of the manipulated audio signal to multiple connected BT listening devices.

Claim (Index 9):
A method of generating an audio signal in a BlueTooth (BT) multi-device listening audio system, the method comprising:\n scanning, connecting, and receiving an identification by a device of a first connected BT listening device and a second connected BT listening device; detecting features of the first and second connected BT listening devices; manipulating the audio signal based from the detected features; facilitating transmission of the manipulated audio signal to one of the first and second connected BT listening devices based on user determination of which of the first and second connected BT listening devices that the user desires the audio signal to be transmitted to.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 1.94231
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11154816', '12579037', '13564805', '15391330', '15813525']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6631023424850837
- 35 USC 102 Novelty (BERT): 0.453978627845078
- Combined Prediction Score: 0.6421899710210832
- Mean Citation Score: 104.7590968
- Max Citation Score: 106.98434
- Similarity Product: 79.20748942751408

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

Dataset: test