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 6):
The method of  claim 5 , further comprising:\n Step A, collecting N s  particles in the range of the first locating to acquire a set of particles x t (i)  having a weight value \u03c9 t (i) , where i=1, 2, 3 . . . , N s ; Step B, obtaining an importance weight \u03c9 t (i)  of the particles, \u03c9 t ( i ) = p \ue8a0 ( X t ( i ) \ue85c z 1 : t , u 0 : t ) q \ue8a0 ( X t ( i ) \ue85c z 1 : t , u 0 : t ) , where p(X t (i) |z 1:t ,u 0:t ) is a true distribution of the object, q(X t (i) |z 1:t ,u 0:t ) is a proposed distribution of the object; Step C, normalizing the importance weight \u03b8 i (i) \u2032, \u03c9 t (i) \u2032=\u03c9 t (i) /\u03a3 i=1 N s \u03c9 t (i) ; and Step D, calculating an exact position  t  of the object,  t \u2248\u03a3 i=1 N s \u03c9 t (i) \u2032X t (i) .

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): 0.6684949267834707
- 35 USC 102 Novelty (BERT): 0.4815452998402233
- Combined Prediction Score: 0.649799964089146
- Mean Citation Score: 147.61647
- Max Citation Score: 153.35225
- Similarity Product: 101.02135189276932

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