The IMPLEMENTATION OF TRACKING SYSTEM IN THE REAL TIME OF ANDROID FOR SENDING PERSONEL COORDINATION BASED ON MQTT.

Abstract: In the world of technology that is increasing, then as humans we will not be separated from the process improvement that occurs. From year to year, it is certain that this increase will certainly. Increasingly rapidly occurring in communication technology. Communication technology has also penetrated the military world, especially in MQTT-based communications. In this research, MQTT-based technology is applied to implement real time tracking system on android. This system is used to send the longitude and latitude coordinates of the personnel so that these points can be known directly via android. From this pure experimental research method, the coordinate point data will continue to be monitored and the existence can be known continuously. This system is designed on a VPS server or Virtual Private Server, so that all devices even though none of the networks can communicate with each other as long as they have access rights for application user.

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Face detection and posture recognition in a real time tracking system

2017 IEEE International Systems Engineering Symposium (ISSE) ◽

10.1109/syseng.2017.8088265 ◽

2017 ◽

Cited By ~ 4

Author(s):

Hung-Yuan Chung ◽

Chun-Cheng Hou ◽

Shou-Jyun Liang

Keyword(s):

Real Time ◽

Face Detection ◽

Tracking System ◽

Real Time Tracking ◽

Posture Recognition

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Automated Real-Time Tracking System for Socially-Housed Physically Identical Mice

10.1109/biocas49922.2021.9645011 ◽

2021 ◽

Author(s):

Yanbo Wang ◽

Alena V. Savonenko ◽

Ralph Etienne-Cummings

Keyword(s):

Real Time ◽

Tracking System ◽

Real Time Tracking ◽

Physically Identical

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Three-dimensional conformal set-up of prostate cancer by adjustment of actual clinical target volume (CTV) to virtual CTV using three fiducial markers and fluoroscopic real-time tracking system

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/s0360-3016(01)02532-9 ◽

2001 ◽

Vol 51 (3) ◽

pp. 384 ◽

Cited By ~ 1

Author(s):

K. Fujita ◽

H. Shirato ◽

K. Kitamura ◽

R. Onimaru ◽

T. Harabayashi ◽

...

Keyword(s):

Prostate Cancer ◽

Real Time ◽

Clinical Target Volume ◽

Tracking System ◽

Three Dimensional ◽

Target Volume ◽

Fiducial Markers ◽

Real Time Tracking ◽

Set Up

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Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Sensors ◽

10.3390/s21237780 ◽

2021 ◽

Vol 21 (23) ◽

pp. 7780

Author(s):

Johannes Link ◽

Sébastien Guillaume ◽

Bjoern M. Eskofier

Keyword(s):

Real Time ◽

Tracking System ◽

Wearable Sensors ◽

Absolute Error ◽

Opening Angle ◽

National Team ◽

Ski Jumping ◽

Accuracy And Precision ◽

Real Time Tracking ◽

Flight Parameters

For sports scientists and coaches, its crucial to have reliable tracking systems to improve athletes. Therefore, this study aimed to examine the validity of a wearable real-time tracking system (WRRTS) for the quantification of ski jumping. The tracking system consists of wearable trackers attached to the ski bindings of the athletes and fixed antennas next to the jumping hill. To determine the accuracy and precision of the WRRTS, four athletes of the German A or B National Team performed 35 measured ski jumps. The WRRTS was used to measure the 3D positions and ski angles during the jump. The measurements are compared with camera measurements for the in-flight parameters and the official video distance for the jumping distance to assess their accuracy. We statistically evaluated the different methods using Bland–Altman plots. We thereby find a mean absolute error of 0.46 m for the jumping distance, 0.12 m for the in-flight positions, and 0.8°, and 3.4° for the camera projected pitch and V-style opening angle, respectively. We show the validity of the presented WRRTS to measure the investigated parameters. Thus, the system can be used as a tracking system during training and competitions for coaches and sports scientists. The real-time feature of the tracking system enables usage during live TV broadcasting.

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A Real-time Tracking System Used for Surface Detection

10.1109/icisce50968.2020.00034 ◽

2020 ◽

Author(s):

Xiao Wang ◽

Bo Li ◽

Zhankuan Zhang

Keyword(s):

Real Time ◽

Tracking System ◽

Surface Detection ◽

Real Time Tracking

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Controlling a motorized electric wheelchair based on face tilting

Bio-Algorithms and Med-Systems ◽

10.1515/bams-2019-0033 ◽

2019 ◽

Vol 15 (4) ◽

Author(s):

Hassan M. Qassim ◽

Abdulrahman K. Eesee ◽

Omar T. Osman ◽

Mohammed S. Jarjees

Keyword(s):

Quality Of Life ◽

Real Time ◽

Tracking System ◽

Lower Limbs ◽

Direct Impact ◽

Excellent Performance ◽

Electric Wheelchair ◽

Real Time Tracking

AbstractDisability, specifically impaired upper and/or lower limbs, has a direct impact on the patients’ quality of life. Nowadays, motorized wheelchairs supported by a mobility-aided technique have been devised to improve the quality of life of these patients by increasing their independence. This study aims to present a platform to control a motorized wheelchair based on face tilting. A real-time tracking system of face tilting using a webcam and a microcontroller circuit has been designed and implemented. The designed system is dedicated to control the movement directions of the motorized wheelchair. Four commands were adequate to perform the required movements for the motorized wheelchair (forward, right, and left, as well as stopping status). The platform showed an excellent performance regarding controlling the motorized wheelchair using face tilting, and the position of the eyes was shown as the most useful face feature to track face tilting.

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