PATENT CLAIM ANALYSIS

Application Number: 15877165
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["340", "005250"]

Abstract:
A trainable transceiver for controlling a remote device includes a transceiver circuit configured based on training information to communicate with the remote device, a communications device configured to communicate with a mobile communications device, and a control circuit coupled to the transceiver circuit, and coupled to the communications device. The control circuit is configured to transmit diagnostic information related to the trainable transceiver to a mobile communications device via the communications device.

Claim (Index 7):
A system for configuring trainable transceivers, comprising:\n an application running on a processor of a mobile communications device, configured to:\n receive, via a transceiver, diagnostic information from a trainable transceiver trained to control a remote device; \n generate instructions for configuring one or more parameters of a signal for establishing communications with the remote device based on the diagnostic information received from the trainable transceiver; \n transmit, via the transceiver, the instructions to the trainable transceiver, receipt of the instructions configured to cause the trainable transceiver to configure the one or more parameters of the signal for establishing communications with the remote device.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 86.0
- Lexical Diversity: 2.40625
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14688959', '15484004', '14688969', '14690242', '15631405']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7020522431625951
- 35 USC 102 Novelty (BERT): 0.5098832232192858
- Combined Prediction Score: 0.6828353411682642
- Mean Citation Score: 266.763982
- Max Citation Score: 299.1273
- Similarity Product: 265.83134953824884

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