PATENT CLAIM ANALYSIS

Application Number: 15927595
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["358", "001140"]

Abstract:
An image recording apparatus includes a print engine, a sensor, a controller, and a memory. The print engine is configured to record an image on a recording medium. The sensor is configured to detect whether the image recording apparatus is moved. The memory is configured to store particular information. The memory stores instructions, the instructions, when executed by the controller, causing the controller to perform: a first deletion process of, in response to determining that a first condition is satisfied, deleting the particular information stored in the memory, the first condition being that movement of the image recording apparatus is detected by the sensor.

Claim (Index 17):
The image recording apparatus according to  claim 1 , wherein the sensor comprises an acceleration sensor; and\n wherein the controller is configured to:\n in response to determining that a detection value detected by the acceleration sensor is larger than or equal to a reference value, store, in the memory, the detection value and time data at which the detection value is detected; and \n in response to determining that the detection value is larger than or equal to the reference value for a particular period, determine that the first condition is satisfied.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.28846
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14994445', '15664052', '11200063', '15007798', '15044246']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5065515868561244
- 35 USC 102 Novelty (BERT): 0.4972111261730443
- Combined Prediction Score: 0.5056175407878164
- Mean Citation Score: 146.213146
- Max Citation Score: 154.72118999999995
- Similarity Product: 92.86186875190076

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

Dataset: test