PATENT CLAIM ANALYSIS

Application Number: 16382305
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["455", "456100"]

Abstract:
System and method for determining a location of a tag are disclosed. The system comprises a mobile tag, sensors, and a controller. The mobile tag determines a first location within a structure that includes multiple second locations. The sensors are positioned at different locations of the structure and sense a structure condition. The controller determines possible paths of the mobile tag within the structure. Next, the controller generates a first set of weighted likelihoods of the mobile tag being located at each second location based on the possible paths and distances between the first location and the multiple second locations. The controller also generates a second set of weighted likelihoods of the mobile tag being located at each second location based on the structure condition. The controller then determines a location of the mobile tag within the structure based on the first and second sets of weighted likelihoods.

Claim (Index 3):
The location determining system as described by  claim 1 , wherein the controller associates each second location of the plurality of second locations with directional data distinguishing blocked paths from non-blocked paths.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 100.0
- Lexical Diversity: 3.11765
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13649949', '14866499', '11949080', '15158376', '14590597']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7227353793768978
- 35 USC 102 Novelty (BERT): 0.4899793852566795
- Combined Prediction Score: 0.699459779964876
- Mean Citation Score: 176.29895
- Max Citation Score: 187.22644
- Similarity Product: 124.77713232350824

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