DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE

Racewalking, a branch of athletics featured at events from regional competitions to the Olympics, often suffers from subjective officiating due to judges' limited ability to detect rule violations, such as bent knees and loss of contact, particularly in mass racewalking scenarios. To address...

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Main Author: Triansyah Putra, Thio
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/82250
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:82250
spelling id-itb.:822502024-07-06T19:58:58ZDESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE Triansyah Putra, Thio Indonesia Final Project racewalking, server, database, user interface, sensors, violations INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/82250 Racewalking, a branch of athletics featured at events from regional competitions to the Olympics, often suffers from subjective officiating due to judges' limited ability to detect rule violations, such as bent knees and loss of contact, particularly in mass racewalking scenarios. To address this challenge, we propose a wearable device that assists judges by objectively assessing athletes' movements. The device integrates ESP32 hardware with sensor modules to record acceleration and angular velocity. Using support vector machines on Amazon SageMaker, the system classifies the athletes' movements and detects rule violations with 70\% accuracy, enhancing the fairness and accuracy of racewalking competitions. Furthermore, the system meets other essential specifications including processing time, communication range, data management, weight and dimensions, durability, and battery life. This demonstration proves the product's potential as a tool to aid judges in fault detection. This final project document discusses the overall server-database system architecture for detecting violations in racewalking. This server-database system uses AWS IoT Core to receive data from sensors, the DynamoDB database for data storage, AWS Lambda for preprocessing and moving data, Amazon Cloudwatch to monitor all processes occurring in the cloud, and API Gateway to connect the fault detection data to the user interface. The data entered into the database system comes from a wearable device equipped with motion sensors. The server-database system architecture has been tested and verified to meet the product specification requirements. While the system can functionally operate according to specifications, further testing is needed regarding the security of data transmission to the user interface and the scalability of the system architecture. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Racewalking, a branch of athletics featured at events from regional competitions to the Olympics, often suffers from subjective officiating due to judges' limited ability to detect rule violations, such as bent knees and loss of contact, particularly in mass racewalking scenarios. To address this challenge, we propose a wearable device that assists judges by objectively assessing athletes' movements. The device integrates ESP32 hardware with sensor modules to record acceleration and angular velocity. Using support vector machines on Amazon SageMaker, the system classifies the athletes' movements and detects rule violations with 70\% accuracy, enhancing the fairness and accuracy of racewalking competitions. Furthermore, the system meets other essential specifications including processing time, communication range, data management, weight and dimensions, durability, and battery life. This demonstration proves the product's potential as a tool to aid judges in fault detection. This final project document discusses the overall server-database system architecture for detecting violations in racewalking. This server-database system uses AWS IoT Core to receive data from sensors, the DynamoDB database for data storage, AWS Lambda for preprocessing and moving data, Amazon Cloudwatch to monitor all processes occurring in the cloud, and API Gateway to connect the fault detection data to the user interface. The data entered into the database system comes from a wearable device equipped with motion sensors. The server-database system architecture has been tested and verified to meet the product specification requirements. While the system can functionally operate according to specifications, further testing is needed regarding the security of data transmission to the user interface and the scalability of the system architecture.
format Final Project
author Triansyah Putra, Thio
spellingShingle Triansyah Putra, Thio
DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
author_facet Triansyah Putra, Thio
author_sort Triansyah Putra, Thio
title DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
title_short DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
title_full DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
title_fullStr DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
title_full_unstemmed DESIGN AND IMPLEMENTATION OF SERVER AND DATABASE SYSTEM FOR RACEWALK FAULT DETECTION DEVICE
title_sort design and implementation of server and database system for racewalk fault detection device
url https://digilib.itb.ac.id/gdl/view/82250
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