PATENT CLAIM ANALYSIS

Application Number: 16182863
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["455", "456100"]

Abstract:
A method for detecting a context of a mobile device equipped with sensors and a context detection module in which the sensors are assigned to at least two groups, each of which comprises at least one sensor, and each group is allocated a group classifier adapted to detect, in a form of a classification result, currently identified, by means of a given classifier, context of the device based on indications of the sensors belonging to the given group, characterized in that with a use of the context detection module, whereas the groups of sensors are ordered hierarchically, and the device context is detected by reading a classification result indicated by the classifier of the currently active group, wherein in case of detection of an identified context in the active group, switching on power supply of the sensors and activating classification in a group with a level higher by one level and reading the context indicated by said group's classifier, wherein based on the results of the classification indicated by the higher groups' classifiers, executing adaptation of the configuration of lower groups' classifiers.

Claim (Index 4):
The mobile device of  claim 1 , wherein at least one of the classifiers is configured to evaluate a plurality of contexts of the mobile device.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.58442
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15377414', '15719881', '14745433', '14346985', '13784229']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7449631829162089
- 35 USC 102 Novelty (BERT): 0.5147881328342743
- Combined Prediction Score: 0.7219456779080154
- Mean Citation Score: 287.35425
- Max Citation Score: 332.95526
- Similarity Product: 330.98736237135887

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

Dataset: test