PATENT CLAIM ANALYSIS

Application Number: 15750258
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["340", "427000"]

Abstract:
An apparatus for theft detection including a processing unit and a communication interface, the apparatus being provided for stationary mounting on a mobile object. The apparatus has at least an acceleration sensor, a rotation rate sensor, and a magnetic field sensor. The processing unit is furthermore configured to acquire an acceleration signal of the acceleration sensor, a rotation rate signal of the rotation rate sensor, and a magnetic field signal of the magnetic field sensor within a time span, and to determine a change in relative position of the apparatus as a function of the acceleration signal, the rotation rate signal, and the magnetic field signal. The processing unit is also configured to output a first signal by way of the communication interface if the change in position is greater than a first threshold value. A method for theft detection is also described.

Claim (Index 27):
The method as recited in  claim 24 , further comprising a method step h, in which the change in position is compared with a second threshold value that is less than the first threshold value, and a method step i in which a second signal is outputted if the change in position is greater than the second threshold value.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 2.47619
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12742399', '13195160', '13583567', '11868141', '12306041']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6432593900578372
- 35 USC 102 Novelty (BERT): 0.495988690385382
- Combined Prediction Score: 0.6285323200905917
- Mean Citation Score: 129.16691899999998
- Max Citation Score: 130.78275
- Similarity Product: 78.15697747005522

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