PATENT CLAIM ANALYSIS

Application Number: 15949100
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["340", "004340"]

Abstract:
The present disclosure is directed to systems and methods of enabling and disabling a functionality of a trainable transceiver. The trainable transceiver may include a plurality of buttons, a control circuit, and a locking mechanism. The plurality of buttons may cause the control circuit to control one or more functions of a remote device. The control circuit may compare a sequence of inputs on the plurality of buttons to a predetermined sequence. The control circuit may acquire a sensor reading and compare the sensor reading to predetermined data. The locking mechanism may enable or disable operation of the control circuit in controlling the one or more functions of the remote device, responsive to a determination that the sequence of inputs matches the predetermined sequence and the sensor reading matches the predetermined data.

Claim (Index 16):
The method of  claim 14 , further comprising:\n identifying, by the trainable transceiver, responsive to receiving an input of the sequence of inputs, the operation mode of the trainable transceiver; comparing, by the trainable transceiver, the sequence of inputs on the plurality of buttons to one of a lock sequence or an unlock sequence based on identifying the operation mode of the trainable transceiver.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.71154
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15893298', '14875200', '15478038', '15888830', '14511631']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6807530901995706
- 35 USC 102 Novelty (BERT): 0.4921475320222957
- Combined Prediction Score: 0.6618925343818431
- Mean Citation Score: 214.525004
- Max Citation Score: 228.15918
- Similarity Product: 180.07588765393498

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