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 4):
The method of  claim 2 , wherein a state prediction equation for predicting the second position of the object is:\n p ( x t |z 1:t-1 )=\u222b p ( x t |x t-1 ) p ( x t-1 |z 1:t-1 ) dx t-1  where p(x t |z 1: t-1 ) is a posterior probability density distribution of the object at time t, where t is time, t\u2208N, p(x t |x t-1 ) is a prior probability density distribution of the object at time t; and a state transition equation and an observation equation at time t are: { x t = f t \ue8a0 ( x t - 1 , v t ) y t = h t \ue8a0 ( x t , z t , w t ) \u2003 x t  is an X coordinate and a position state of the object at time t, y t  is a Y coordinate and a position state of the object calculated by the observation equation at time t, \u0192 t  is a function of the state transition equation for the state x t-1  at time t, \u03bd t  is measuring noises, h t  is a function of the observation equation for the state x t  at time t, z t  is a value of the magnetic field strength of the object at time t, w t  is observation noise.

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): 0.6976160208102571
- 35 USC 102 Novelty (BERT): 0.4691538932304621
- Combined Prediction Score: 0.6747698080522776
- Mean Citation Score: 147.61647
- Max Citation Score: 153.35225
- Similarity Product: 114.3156882829368

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