Luggage Tracking System Using IoT

Akshatha M R

doi:10.22214/ijraset.2021.37573

Luggage Tracking System Using IoT

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37573 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1365-1368

Author(s):

Akshatha M R

Keyword(s):

Tracking System ◽

Mobile App ◽

Alert System ◽

Model Battery

Abstract: The luggage tracking system is designed to track the luggage and bags which gets lost or theft from public and other areas. When people travel, there is always the chance of their luggage and bags being stolen, which is where the proposed system comes in. The luggage tracking system is based on an alert system that uses an Arduino Nano board and a GPS module. The alarm is also activated if the bag is stolen and moves outside of a certain range. Furthermore, a map is constructed via which we can monitor the location of the bag as it moves by dropping markers, which in turn informs us the location of the bag as it moves away from the owner. In this, the IOT components are being used like Arduino Board and a GPS Module in order to track the bag and to keep track of things, a frontend or mobile app is constructed. Keywords: IOT components, Arduino board, GPS, GSM model, Battery booster, Buzzer, Bluetooth model.

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A mobile app for tracking non-motor symptoms of people with Parkinson’s disease: A usability study

Innovation in Aging ◽

10.1093/geroni/igaa057.3284 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 890-890

Author(s):

JuHee Lee ◽

Yujin Suh ◽

Yielin Kim

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Tracking System ◽

Smart Phone ◽

Telephone Counseling ◽

Mobile App ◽

Motor Symptoms ◽

Hand Tremor ◽

Non Motor Symptoms

Abstract Smart phone-based technology for people with Parkinson’s disease has been developed worldwide. Unmonitored non-motor symptoms decrease quality of life of people with Parkinson’s disease, so the needs for technology to manage non-motor symptoms are increasing. The technology is needed to detect subtle changes in non-motor symptoms by healthcare professional. There is no mobile app which manage comprehensive symptoms of Parkinson’s disease including non-motor symptoms. It is necessary to develop a new tracking system that can effectively manage non-motor symptoms as well as motor symptoms of Parkinson’s disease. We developed a prototype of mobile app for Android smartphones, with cooperation with Mazelone company. we also have shaped functions for monitoring of motor symptoms and medication adherence. It also provided a section for caregivers to use on behalf of people with Parkinson’s disease who have difficulty to use app due to hand tremor. Through Delphi technique, we obtained content validity from eight medical and nursing experts on the contents of the application. We provided regular telephone counseling to improve and encourage their app usage. Fifteen participants used the app for 6 weeks. To evaluate usability of mobile app, we provided constructed questionnaire and conducted individual telephone interview. A mobile app for tracking non-motor symptoms demonstrated high usability and satisfaction. We learned lessons about facilitators and barriers when implementing an app such as perception and acceptance of mobile technology. The mobile app will improve continuum of care. Future studies need to improve the contents and refine technical approach for people with Parkinson’s disease.

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Feasibility of an Automated Fast Healthcare Interoperability Resources-based 12-lead Electrocardiogram Mobile Alert System (Preprint)

10.2196/preprints.13814 ◽

2019 ◽

Author(s):

Sujeong Hur ◽

Won Chul Cha ◽

Jeanhyoung Lee ◽

Taerim Kim ◽

Dong Kyung Chang ◽

...

Keyword(s):

Information Transfer ◽

Tertiary Care ◽

Mobile App ◽

Care Hospital ◽

Alert System ◽

Coronary Syndrome ◽

St Elevation ◽

Feasibility Test ◽

Time Critical ◽

Median Interval

BACKGROUND Timely information transfer is more important in the emergency care setting because it is associated with the clinical outcome. For patients with time-critical acute coronary syndrome, reporting of electrocardiogram (ECG) findings is the most important component of the treatment process. OBJECTIVE This study aimed to develop and implement an automated Fast Healthcare Interoperability Resources (FHIR)-based 12-lead ECG mobile alert system in an emergency department (ED). METHODS An automated FHIR-based 12-lead ECG alert system was developed. The system aimed to generate alert for potential ST-elevation myocardial infarction (STEMI) patients. A feasibility test was carried out in the ED of an academic tertiary care hospital from November 14 to December 7, 2018. The system generate alert based on 12-lead ECG readings from the device. The alert was transmitted to the physicians both via mobile app and EMR. A retrospective analysis was performed for patients ≥18 years of age admitted to the ED. The automated FHIR-based 12-lead ECG alert system processing interval was defined as the time from ED arrival and 12-lead ECG capture to the time when FHIR-based notification was transmitted. We analyzed the 12-lead ECG process intervals and the clinical characteristics. In this study, a successful transmission is defined as transmit the FHIR-based notification within 5 minutes. RESULTS The automated FHIR-based 12-lead ECG alert transmission system was developed and used the “Observation” FHIR resource. There were 3,812 emergency visits during the study period. A total of 1,581 12-lead ECGs were captured. The FHIR system generated 155 alerts. Alert patient were significantly older, and the percentage of males was higher. Among 155 alerts, 146 (94%) were transmitted successfully. In the group with cardiac-related symptoms, the median interval from arrival to 12-lead ECG capture was 74.4 min (IQR 15.6 – 211.2 min). The median interval was 106.5 min (IQR 28.5 – 251.6 min) in the non cardiac-related symptoms. The group with cardiac-related symptoms, the median of 2.7 min (IQR 2.3 – 2.9 min) from 12-lead ECG capture to FHIR notification. The median of 2.9 min (IQR 2.5 – 3.3 min) in the non cardiac-related symptoms. The median interval of 9 (6%) unsuccessful cases was 69.1 min (IQR 37.6 – 100.7 min) in the group with cardiac-related symptoms. The non cardiac-related symptoms group, the median was 20 min (IQR 10.8 – 34.8 min). CONCLUSIONS We found that an automated FHIR-based 12-lead ECG mobile alert system was feasible in the ED.

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Lora Based End to End Tracking System Overcoming Signal Transmission Error

International Journal of Advanced Research in Science, Communication and Technology ◽

10.48175/ijarsct-1068 ◽

2021 ◽

pp. 573-579

Author(s):

Dr. M. Samayaraj Murali Kishanlal ◽

Mithra Jagadeesan ◽

Swetha Annie A.

Keyword(s):

Tracking System ◽

Signal Transmission ◽

Transmission Error ◽

Mobile App ◽

Qr Codes ◽

Long Distance ◽

Asset Tracking ◽

Effective Manner ◽

Distance Communication ◽

The City

Asset tracking is a method of tracking physical objects that involves scanning barcode labels attached to the assets or using tags that transmit their location using GPS, BLE, or RFID. These technologies can also be used to track people who are wearing a tag inside a house. RFID tags that are 'passive' transmit their location, but their transmission range is small (typically a few meters). Manual barcode scanning, such as QR codes, may be used to monitor assets. Smartphones with cameras and dedicated applications, as well as barcode readers, can be used to scan QR codes. Even though Bluetooth wasn't designed for localization, it has been used and can provide more accuracy. But all these have certain limitations with itself. In this project, a system had been developed for theft prevention and recovery of lost assets in an easier and faster way. The user of this system can be able to track the location of the asset once it has been moved in a long distance or stolen. This project utilizes long distance RF communication modules such as LoRa modules which provide long distance communication in terms of kilometres. The hardware component includes micro-controller, GPS, LoRa modules, etc. The LoRa modules can be distributed across the city for tracking of the asset. As the asset moves around the city, the location of that asset is been transmitted to a nearby LoRa which is then transmitted to the mobile app developed independently for tracking the asset. By this the user can have a track of their valuable asset. Thus, this project will help us in tracking the lost asset in an easy and effective manner.

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DBOS: A Dialog-Based Object Query System for Hospital Nurses

Sensors ◽

10.3390/s20226639 ◽

2020 ◽

Vol 20 (22) ◽

pp. 6639

Author(s):

Edward T.-H. Chu ◽

Zi-Zhe Huang

Keyword(s):

Tracking System ◽

Mobile App ◽

Hospital Nurses ◽

Head Nurse ◽

Inverse Document Frequency ◽

User Intent ◽

Document Frequency ◽

Query System ◽

User Friendly ◽

Being Moved

Due to the advance of indoor positioning technology, it is now possible to trace mobile medical equipment (such as electrocardiography machines, patient monitors, and so on) being moved around a hospital ward. With the support of an object tracking system, nurses can easily locate and find a device, especially when they prepare for a shift change or a medical treatment. As nurses usually face high workloads, it is highly desirable to provide nurses with a user-friendly search interface integrated into a popular mobile app that they use daily. For this, DBOS, a dialog-based object query system, is proposed, which simulates a real conversation with users via the Line messaging app’s chatbot interface. A hybrid method that combines cosine similarity (CS) and term frequency–inverse document frequency (TF-IDF) is used to determine user intent. The result is returned to the user through Line’s interface. To evaluate the applicability of DBOS, 70 search queries given by a head nurse were tested. DBOS was compared with CS, TF-IDF, and Facebook Wit.ai respectively. The experiment results show that DBOS outperforms the abovementioned methods and can achieve a 92.8% accuracy in identifying user intent.

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Design of IoT based Real-Time Bus Tracking App using HF-RFID

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f5365.039621 ◽

2021 ◽

Vol 9 (6) ◽

pp. 71-75

Author(s):

Anjali Jain ◽

Agya Mishra

Keyword(s):

Real Time ◽

Public Transportation ◽

Tracking System ◽

National Sample ◽

Mobile App ◽

Automated System ◽

Sample Survey ◽

National Sample Survey Organization ◽

Mode Of Transport ◽

Cloud Users

Public Transportation is the major means of Bus among people. A recent survey by the National Sample Survey Organization says that about 62-66% of people use the bus as their mode of transport. Public Bus tracking system aims at providing the instant status of the bus to the users via an automated system. This paper describes a design of IoT enabled real time bus tracking system. In this work a bus tracking mobile phone app is developed, using that people can exactly locate the bus status and time to bus arrival at bus-stop. This work uses high frequency RFID tags at buses and RFID receivers at bus-stops and with NodeMCU real time RIFD tagging (bus running) information is collected and uploaded on cloud. Users can access the bus running and status from cloud on mobile app in real time.

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