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 8):
An apparatus for locating an object using cluster-type magnetic field, comprising:\n a signal receiver configured to obtain a wireless signal; a magnetic sensor configured to obtain a magnetic field signal; at least one processor configured to operatively coupled to the signal receiver and the magnetic sensor; and a memory communicably connected with the at least one processor for storing instructions executable by the at least one processor, wherein execution of the instructions by the at least one processor causes the at least one processor to: perform a first locating for an object according to the strength of the wireless signal obtained by the signal receiver; and perform a second locating for the object based on the range determined by the first locating and the magnetic field signal obtained by the magnetic sensor.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.36207
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15034624', '10295935', '11103588', '13839512', '13414737']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6729245482577249
- 35 USC 102 Novelty (BERT): 0.4628039335986013
- Combined Prediction Score: 0.6519124867918125
- Mean Citation Score: 147.61647
- Max Citation Score: 153.35225
- Similarity Product: 118.00205450871589

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test