PATENT CLAIM ANALYSIS

Application Number: 16032351
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["455", "456100"]

Abstract:
A method for locating an object using cluster-type magnetic field is disclosed. The method implemented on an electronic apparatus, comprises: obtaining a wireless signal and a magnetic field signal; performing a first locating for an object according to the wireless signal; and performing a second locating for the object according to the magnetic field signal in the range of the first locating. In addition, an apparatus and a system for locating an object using cluster-type magnetic field are also disclosed. Accordingly, the present invention performs a first rough locating for an object by a wireless signal and then a precise locating for the object in the range of the first locating, thus reducing the amount of calculation, lowering computational complexity and improving accuracy of locating.

Claim (Index 2):
The method of  claim 1 , wherein performing a second locating for the object comprises:\n predicting a second position of the object at least once according to the intensity of the magnetic field signal; and performing a position updating of the predicted second position at least once according to the predicted second position and the intensity of the magnetic field signal.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.36207
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15034624', '10295935', '11103588', '13839512', '13414737']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6984473279962631
- 35 USC 102 Novelty (BERT): 0.4654723611750418
- Combined Prediction Score: 0.675149831314141
- Mean Citation Score: 147.61647
- Max Citation Score: 153.35225
- Similarity Product: 117.6549346381724

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