PATENT CLAIM ANALYSIS

Application Number: 15913038
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["345", "633000"]

Abstract:
The present disclosure relates to a technology related to a Sensor Network, Machine to Machine (M2M), Machine Type Communication (MTC), and Internet of Things (IoT). The present disclosure is applied to intelligent services, based on the technology, for example, smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail business, security, safety-related services, or the like. In accordance with an example aspect of the present disclosure, a method of displaying augmented reality content in an electronic device is provided. The method includes: receiving sensor data from a specific sensor node outside the electronic device; obtaining image information from an image taking unit comprising imaging circuitry such as, for example, and without limitation, a camera, camcorder or the like, configured to generate image information; generating augmented reality content based on the sensor data and the image information; and displaying the augmented reality content.

Claim (Index 6):
The method of  claim 1 , wherein the augmented reality content is updated based on a location and a movement of the electronic device.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 90.0
- Lexical Diversity: 2.03333
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15624675', '14705869', '14705920', '14690401', '13540335']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6279829848616598
- 35 USC 102 Novelty (BERT): 0.4881736724963231
- Combined Prediction Score: 0.6140020536251263
- Mean Citation Score: 178.82327800000004
- Max Citation Score: 192.57138
- Similarity Product: 133.3201319052279

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