scholarly journals Development of a real‐time indoor location system using bluetooth low energy technology and deep learning to facilitate clinical applications

2020 ◽  
Vol 47 (8) ◽  
pp. 3277-3285
Author(s):  
Guanglin Tang ◽  
Yulong Yan ◽  
Chenyang Shen ◽  
Xun Jia ◽  
Meyer Zinn ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Clinical Applications ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy ◽  
Indoor Location ◽  
Location System

scholarly journals Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0205392 ◽  
Author(s):  
Zohaib Iqbal ◽  
Da Luo ◽  
Peter Henry ◽  
Samaneh Kazemifar ◽  
Timothy Rozario ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Low Energy ◽  
Clinical Environment ◽  
Bluetooth Low Energy

The methodology of using bluetooth technology to solve the problems of identifying and determining the position of objects.

2021 ◽  
Vol 5 ◽  
Author(s):  
P.V. Stepanov ◽  
Keyword(s):  
Information System ◽  
Low Energy ◽  
Comparison Of Methods ◽  
Energy Technology ◽  
Adaptive Logic ◽  
Selective Activation ◽  
Bluetooth Low Energy ◽  
Intelligent Processing ◽  
Positioning Algorithm

The article analyzes the possibility of using Bluetooth Low Energy technology to solve the problem of identifying and positioning objects. The analysis and comparison of methods for solving the problem of navigation in the room and the problems of identification and positioning of objects is carried out. The features in the methodology, the positioning algorithm and the architecture of the information system are revealed. An adaptive logic for the operation of labels is proposed. The methods of intelligent processing of signals from labels are considered. The method of selective activation of labels and methods of limiting the activation and signal reception zones are described.

Sign in / Sign up

Export Citation Format

Share Document