PATENT CLAIM ANALYSIS

Application Number: 16036239
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-08
Patent Classification: ["340", "539110"]

Abstract:
According to one embodiment, an electronic device wearable by a worker includes at least one of a proximity sensor or a contact sensor, a motion sensor, a display, a wearing detector, an abnormality detector, a display controller, and a notification controller. The wearing detector determines whether the electronic device is worn by the worker, based on first data obtained by at least one of the proximity sensor or the contact sensor. The abnormality detector detects an abnormal action of the worker by analyzing second data obtained by the motion sensor when the electronic device is determined to be worn by the worker. The display controller causes the display to display the abnormal action. The notification controller notifies another device of the abnormal action.

Claim (Index 5):
The electronic device according to  claim 3 , wherein\n the discrimination data is learned using teacher data as the abnormal action, and used as a discriminator; and the abnormality detector extracts a characteristic amount from the sensing data obtained at a current moment, inputs the characteristic amount to the discriminator, and detects the abnormal action by obtaining a probability that the characteristic amount indicates the abnormal action from the discriminator.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 95.0
- Lexical Diversity: 2.66667
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15977937', '11226367', '16011385', '15590012', '15237875']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.669868991216856
- 35 USC 102 Novelty (BERT): 0.4828063492759933
- Combined Prediction Score: 0.6511627270227698
- Mean Citation Score: 119.464495
- Max Citation Score: 125.27215
- Similarity Product: 84.3794024269104

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