PATENT CLAIM ANALYSIS

Application Number: 15880478
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["345", "156000"]

Abstract:
A virtual space positioning method and apparatus are provided. The virtual space positioning method is adapted for a human machine interface (HMI) and includes the steps of: receiving a plurality of first sensed data sets from an inertial measurement unit (IMU), determining that a data feature of the first sensed data sets conforms to a first predetermined data model, receiving a plurality of second sensed data sets from the IMU, determining that a data feature of the second sensed data sets conforms to a second predetermined data model, calculating a moving direction and a moving distance according to the first sensed data sets and the second sensed data sets, defining a first coordinate system of a real space according to the moving direction and the moving distance, and creating a relationship between the first coordinate system and the second coordinate system of a virtual space corresponding to the HMI.

Claim (Index 15):
The virtual space positioning apparatus of  claim 9 , wherein the processor determines that the first data feature conforms to the first predetermined data model via a convolutional neural network (CNN) and determines that the second data feature conforms to the second predetermined data model via the CNN.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 2.7
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16063941', '15150794', '14821678', '15274294', '15086561']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6342979422079867
- 35 USC 102 Novelty (BERT): 0.4809144915850802
- Combined Prediction Score: 0.6189595971456961
- Mean Citation Score: 142.530548
- Max Citation Score: 154.16228
- Similarity Product: 108.8098317824817

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