scholarly journals DEVELOPMENT OF IOT ENABLED GLOBAL TRACKING SYSTEM AND MOBILE APPLICATION FOR PEOPLE WITH ALZHEIMER’S DISEASE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 287-290
Author(s):  
K. İleri ◽  
A. Duru ◽  
İ. R. Karaş
Keyword(s):  
Mobile Application ◽  
Tracking System ◽  
Memory Loss ◽  
High Accuracy ◽  
High Demand ◽  
Gps Technology ◽  
Location Data ◽  
Getting Lost ◽  
Tracking Device ◽  
Tracking Devices

Abstract. Alzheimer’s is a degenerative disease meaning that it gets worse with time. Memory loss, speaking problems, wandering, and getting lost are some of the signs of the disease. The risk of wandering results in high demand for extensive monitoring solutions for the patients suffering from the disease. Tracking solutions are crucial, especially for family members and caregivers, so researchers develop new wearable tracking devices to overcome missing patients. GPS technology can provide location data with high accuracy, but it is not sufficient to use only by itself. Thus, a more extensive solution should be provided. In this paper, a mobile wearable tracking device that can provide data to the mobile application through internet has been developed for patient tracking purposes.

scholarly journals Live GPS Location Tracking using GPRS

2021 ◽  
Vol 9 (VI) ◽  
pp. 744-748
Author(s):  
Jayesh Sharma
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Cloud Services ◽  
Location Tracking ◽  
Location Data ◽  
Satellite Technology ◽  
The Status ◽  
Real Time Tracking ◽  
Arduino Uno ◽  
Tracking Device

In this paper, a real time tracking system is put forward. In this we are going to design a system which is used for tracking and positioning by using (GPS) and (GSM). This design is based on embedded application, which will regularly monitor location and report the status. This tracking device which is used in real time vehicle location tracking is done using the Arduino Uno Atmega328P, SIM800A module and NEO 6M GPS module. For doing so, the Arduino Uno Atmega328P is combined serially to a GSM module and GPS module. The design make use of RS-232 protocol for serial communication between the modems and the microcontroller. A serial driver IC is used for transforming TTL voltage levels to RS-232 voltage levels. The GSM module is used to regularly send the position of the vehicle from distant place. The GPS module that makes use of satellite technology for its navigation system will regularly give information like longitude, latitude, speed, distance travelled etc. For this purpose, Amazon Cloud Services is used for location data handling. The MySQL database is used to reserve all the data of the GPS.

scholarly journals Autonomous Tracking by an Adaptable Scaled KCF Algorithm

2021 ◽  
Vol 11 (1) ◽  
pp. 48-54
Author(s):  
Din-Chang Tseng ◽  
◽  
Chien-Hung Chen ◽  
Yi-Ming Chen
Keyword(s):  
Computer Vision ◽  
Tracking System ◽  
Passive Tracking ◽  
Feature Based ◽  
Tracking Device ◽  
Tracking Devices

A multicopter is equipped by a passive tracking device to follow a specified target. However, if want to track a non-controlled target, the passive tracking device is failed. We propose a vision-based tracking system for multicopters, used computer vision method to track any target without additional tracking devices. In this study, propose scale candidate graphs and scale tables to improve KCF. There are also stable results when the scale changes. The proposed an adaptable scaled KCF algorithm, when the KCF tracking failed, a feature-based matching detector is used to re-detect the target. Several experiments on various scene based on the proposed approach were conducted and evaluated. Stable tracking results were obtain to show the feasibility of the proposed system.

scholarly journals The Recreational Trail of the El Caminito del Rey Natural Tourist Attraction, Spain: Determination of Hikers’ Flow

2021 ◽  
Vol 18 (4) ◽  
pp. 1809
Author(s):  
Gemma María Gea-García ◽  
Carmelo Fernández-Vicente ◽  
Francisco J. Barón-López ◽  
Jesús Miranda-Páez
Keyword(s):  
Eye Tracking ◽  
Circulation Pattern ◽  
Travel Speed ◽  
Outdoor Activity ◽  
Efficient Management ◽  
Exponential Increase ◽  
The Mean ◽  
Tracking Device ◽  
Tracking Devices

Hiking is a very popular outdoor activity, and has led to an exponential increase in the number of visitors to natural spaces. The objective of this study was to analyze the circulation pattern of visitors to the Caminito del Rey trail, based on the three zones into which the trail can be divided. The sample consisted of 1582 hikers distributed into three different profiles. Of these, 126 utilized an eye-tracking device during the hike, while, for the rest (1456), only their travel speed along the trail was recorded. The use of eye tracking devices identified a greater number of interesting landscapes located in zones 1 and 3 of the trail, and it was observed that the mean travel speed was greater for zone 2 (42.31 m/min) (p < 0.01). Additionally, when the three different visitor profiles were analyzed, significant differences were found between the mean travel speeds according to sectors (p < 0.05). This information is crucial for more efficient management of the trail, as it allows for the development of measures to control and regulate the flow of visitors according to zone, and the design of additional strategies to increase the awareness of the hiker about specific areas of the hike.

scholarly journals In Vitro and In Vivo Assessment of a New Workflow for the Acquisition of Mandibular Kinematics Based on Portable Tracking System with Passive Optical Reflective Markers

2021 ◽  
Vol 11 (9) ◽  
pp. 3947
Author(s):  
Marco Farronato ◽  
Gianluca M. Tartaglia ◽  
Cinzia Maspero ◽  
Luigi M. Gallo ◽  
Vera Colombo
Keyword(s):  
Measurement Error ◽  
Tracking System ◽  
Intraclass Correlation ◽  
Optical Tracking ◽  
Optical Tracking System ◽  
Rater Reliability ◽  
Tracking Device ◽  
Mandibular Kinematics

Clinical use of portable optical tracking system in dentistry could improve the analysis of mandibular movements for diagnostic and therapeutic purposes. A new workflow for the acquisition of mandibular kinematics was developed. Reproducibility of measurements was tested in vitro and intra- and inter-rater repeatability were assessed in vivo in healthy volunteers. Prescribed repeated movements (n = 10) in three perpendicular directions of the tracking-device coordinate system were performed. Measurement error and coefficient of variation (CV) among repetitions were determined. Mandibular kinematics of maximum opening, left and right laterality, protrusion and retrusion of five healthy subjects were recorded in separate sessions by three different operators. Obtained records were blindly examined by three observers. Intraclass correlation coefficient (ICC) was calculated to estimate inter-rater and intra-rater reliability. Maximum in vitro measurement error was 0.54 mm and CV = 0.02. Overall, excellent intra-rater reliability (ICC > 0.90) for each variable, general excellent intra-rater reliability (ICC = 1.00) for all variables, and good reliability (ICC > 0.75) for inter-rater tests were obtained. A lower score was obtained for retrusion with “moderate reliability” (ICC = 0.557) in the inter-rater tests. Excellent repeatability and reliability in optical tracking of primary movements were observed using the tested portable tracking device and the developed workflow.

scholarly journals Evitapp: Persuasive Application for Physical Activity and Smoking Cessation

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1208 ◽  
Author(s):  
Antonio Bascur ◽  
Pedro Rossel ◽  
Valeria Herskovic ◽  
Claudia Martínez-Carrasco
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smoking Cessation ◽  
Mobile Application ◽  
Cardiovascular Health ◽  
Sedentary Lifestyle ◽  
Smoking Habit ◽  
Tracking Devices

The most important risk factors for cardiovascular health are smoking and a sedentary lifestyle. This paper proposes Evitapp, a mobile application designed to promote physical activity and smoking cessation. The application does not use additional tracking devices, rather relying on phone sensors to track physical activity, and on users logging their behavior. Nineteen users tested the application over 10 days. Participants found the applications easy to use and used them approximately once per day. Even though the habits of the experiment participants did not change significantly, those who used the smoking cessation application reported decreasing their smoking habit.

scholarly journals Magnetic Tracking: A Novel Method of Assessing Anterior Cruciate Ligament Deficiency

2006 ◽  
Vol 88 (1) ◽  
pp. 16-17 ◽  
Author(s):  
RK Kundra ◽  
JD Moorehead ◽  
N Barton-Hanson ◽  
SC Montgomery
Keyword(s):  
Anterior Cruciate Ligament ◽  
Tracking System ◽  
Cruciate Ligament ◽  
Magnetic Tracking ◽  
Lachman Test ◽  
Acl Deficiency ◽  
Anterior Tibial ◽  
Anterior Cruciate ◽  
Tracking Device ◽  
Acl Deficient

INTRODUCTION The Lachman test is commonly performed as part of the routine assessment of patients with suspected anterior cruciate ligament (ACL) deficiency. A major drawback is its reliance on the clinician's subjective judgement of movement. The aim of this study was to quantify Lachman movement using a magnetic tracking device thereby providing a more accurate objective measure of movement. PATIENTS AND METHODS Ten patients aged 21–51 years were assessed as having unilateral ACL deficiency with conventional clinical tests. These patients were then re-assessed using a Polhemus Fastrak™ magnetic tracking device. RESULTS The mean anterior tibial displacement was 5.6 mm (SD = 2.5) for the normal knees and 10.2 mm (SD = 4.2) for the ACL-deficient knees. This gave an 82% increase in anterior tibial displacement for the ACL deficient knees. This was shown to be highly significant with P = 0.005. CONCLUSIONS The magnetic tracking system offers an objective quantification of displacements during the Lachman test. It is convenient, non-invasive and comfortable for the patient and is, therefore, ideally suited for use as an investigative tool.

scholarly journals Mobile Application for Detecting Vehicle Accident and Tracking System using GPS/GSM

IJARCCE ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 298-305
Author(s):  
Mr. Sanjay Chavan ◽  
Miss. Ankita Shendkar ◽  
Prof. Avinash Palave
Keyword(s):  
Mobile Application ◽  
Tracking System ◽  
Vehicle Accident

scholarly journals Design a Mobile Application for Children’s Tracking in Crowded Environments

2021 ◽  
Author(s):  
Tanweer Alam ◽  
Abdirahman Ahmed Hadi ◽  
Rayyan Qari Shahabuddin Najam ◽  
Shamimul Qamar
Keyword(s):  
Elderly People ◽  
Mobile Application ◽  
Tracking System ◽  
The Elderly ◽  
The Other ◽  
Disabled People ◽  
The Disabled ◽  
To Come ◽  
Children First ◽  
Crowded Environments

Child Tracking System is a mobile application where the parent can monitor their children location in crowded environments. In addition to children, there is also the elderly people, and the disabled people, so the guidance or the person responsible of them can use this application to track their location. The parent or guidance side will have the application in which they can track, and on the other side, the child or the old person or the disabled person will have device that includes the GPS chip. The main goal of this research is to design an application with system that will help parents to keep track of their children, eventually reducing the cases in which the children or the other mentioned categories of people could be lost. The current used solution to this problem is that the children first have a wearable hand wrist in which they print their parent phone number, so when the child is lost there is a center in which the child is being taken and dealt with care till they contact the parent to come and pick the child up. The problem with the current way that it takes time, and there is a risk that child get totally lost or kidnapped before even reaching to any help, so the new way is better to even prevent them to go far away or to be lost for hours, thus the recovery here will be fast unlike the regular used way nowadays. That goal will be achieved throw systematically objectives starting from studying the existed systems, to planning and analysing, going to designing and implementing, and lastly, testing our own system.

scholarly journals APPLICATION OF CONVOLUTIONAL NEURAL NETWORK FOR DETECTION OF MELANOMA USING SKIN LESION IMAGE ON MOBILE DEVICE

2021 ◽  
Vol 3 (1) ◽  
pp. 8-14
Author(s):  
D. V. Fedasyuk ◽  
◽  
T. V. Demianets ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Network ◽  
Mobile Device ◽  
Mobile Application ◽  
High Accuracy ◽  
File Size ◽  
Melanoma Detection ◽  
The Neural Network ◽  
Classification Time

A melanoma is the deadliest skin cancer, so early diagnosis can provide a positive prognosis for treatment. Modern methods for early detecting melanoma on the image of the tumor are considered, and their advantages and disadvantages are analyzed. The article demonstrates a prototype of a mobile application for the detection of melanoma on the image of a mole based on a convolutional neural network, which is developed for the Android operating system. The mobile application contains melanoma detection functions, history of the previous examinations and a gallery with images of the previous examinations grouped by the location of the lesion. The HAM10000-based training dataset has been supplemented with the images of melanoma from the archive of The International Skin Imaging Collaboration to eliminate class imbalances and improve network accuracy. The search for existing neural networks that provide high accuracy was conducted, and VGG16, MobileNet, and NASNetMobile neural networks have been selected for research. Transfer learning and fine-tuning has been applied to the given neural networks to adapt the networks for the task of skin lesion classification. It is established that the use of these techniques allows to obtain high accuracy of the neural network for this task. The process of converting a convolutional neural network to an optimized Flatbuffer format using TensorFlow Lite for placement and use on a mobile device is described. The performance characteristics of the selected neural networks on the mobile device are evaluated according to the classification time on the CPU and GPU and the amount of memory occupied by the file of a single network is compared. The neural network file size was compared before and after conversion. It has been shown that the use of the TensorFlow Lite converter significantly reduces the file size of the neural network without affecting its accuracy by using an optimized format. The results of the study indicate a high speed of application and compactness of networks on the device, and the use of graphical acceleration can significantly decrease the image classification time of the tumor. According to the analyzed parameters, NASNetMobile was selected as the optimal neural network to be used in the mobile application of melanoma detection.

scholarly journals Automatic Target Acquisition and Bull Tracker using Gps and Gsm Technology

2020 ◽  
Vol 9 (3) ◽  
pp. 2776-2779
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Tracking System ◽  
Target Acquisition ◽  
Time Intervals ◽  
Regular Time ◽  
Arduino Microcontroller

An efficient bull tracking system is designed and implemented for tracking the movement of any bull from any location at any time. The designed device works using GPS and GSM technology for bull tracking. Arduino microcontroller is used to control the GPS and GSM module. The device is embedded on a bull whose position is to be determined and tracked in real time. The microcontroller is used to control the GPS module to get the coordinates at regular time intervals. The GSM module is used to transmit the updated coordinates of bull location to the client via SMS and mobile application. When the SMS is received, the app will automatically read the SMS and update the location of the bull to the user. This device will help the user to always keep an eye on their bull.

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