PATENT CLAIM ANALYSIS

Application Number: 16244888
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["726", "007000"]

Abstract:
A method and system determines a probability that a mobile device is in use by a first user. Sensors are used to detect and quantify human activity and habitual, behavior or emotional traits. A collection of such human trait values identifying a first user of the device are memorized during a learning period. During subsequent usage, a new collection of like human trait values of the current user of the device are captured and compared with the memorized values of the first user of the device relative to time, producing a probability that the person in possession of the mobile device is the first user of the device. In some embodiments, a probability of the device being possessed by the first user is sent to a remote system along with a spoken utterances, where the remote system uses the probability to recognize identity of the speaker.

Claim (Index 15):
The method of  claim 14 , wherein the steps of reading sensors includes detecting and recognizing of the wireless near proximity tracker device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.19718
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15430637', '16019578', '15234652', '14700315', '14488177']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3241013605876062
- 35 USC 102 Novelty (BERT): 0.5410800011313368
- Combined Prediction Score: 0.3457992246419793
- Mean Citation Score: 250.662576
- Max Citation Score: 376.16464
- Similarity Product: 266.1690311491776

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