scholarly journals Remote Diagnosis of the Patient through IOT and Virtual Reality, Classification of the Cloud Data Using ANN

2021 ◽  
Vol 11 (1) ◽  
pp. 6025-6034
Author(s):  
V. Alagammai Nachiappan ◽  
Raj esh ◽  
Rajalakshmi Devaraj
Keyword(s):  
Virtual Reality ◽  
Current Trend ◽  
Wearable Devices ◽  
Raspberry Pi ◽  
Cloud Data ◽  
Future Technology ◽  
Advanced Technologies ◽  
Iot Devices ◽  
Self Learning

Telemedicine was an existing field, but the current situation its becoming a more important necessity in the health care industry.my major aim is To increase the reliability of the online diagnosis using IoT and virtual Reality for the future with help of advanced technologies. Bridge between the patients and doctors. Patients may have wearable devices with AR glass, the measured data will be send to the raspberry pi based router device which is having the Node Red Software for connecting N- no of patients easily and also control the devices remotely based on the self-learning algorithms. All the information can be classified based on type of diseases and classified based on artificial neural network-based algorithms, the information is passed to doctors. Doctor may also have device with wearable Glass, with patient information and details will be displayed on the AR glass. So, we can connect N- of Patients and N- doctors with this technology also sharing the information through the cloud and IOT devices, which will help for the current trend and future technology for the society.

scholarly journals Smart Helmet - Intelligent Safety Helmet

2021 ◽  
pp. 1254-1261
Author(s):  
Sanket Gokule ◽  
Sanket Gilbile ◽  
Shivam Bhat ◽  
Dr. P. B. Kumbharkar ◽  
Vivek Yemul
Keyword(s):  
High Speed ◽  
Emergency Services ◽  
Preventive Measures ◽  
Wearable Devices ◽  
Raspberry Pi ◽  
Road Accidents ◽  
Smart System ◽  
The Past ◽  
Knowing That ◽  
Advanced Technologies

Bike riding is a lot of fun, but accidents happen. People choose motorbikes over cars as it is much cheaper to run, easier to park and flexible in traffic. In India, more than 37 million people are using two wheelers. Since usage is high, accident percentage of two wheelers are also high compared to four wheelers. Motorcycles have a higher rate of fatal accidents than four wheelers. The impacts of these accidents are more dangerous when the driver is involved in a high-speed accident without wearing a helmet. It is highly dangerous and can cause severe deaths. So, wearing a helmet can reduce this number of accidents and may save lives. Smart Helmet - Intelligent Safety Helmet for Motorcyclists is a project undertaken to increase the awareness of wearing helmets among motorcyclists. The idea is obtained after knowing that there has been an increased number of fatal road accidents over the years. Therefore, this project is designed to ensure safety of the motorcyclist. Much research in the past has been done on wearable devices which provide users with a smart system for tracking human actions and also taking preventive measures in emergency conditions. This motivates the use of advanced technologies available today like Raspberry Pi, Impact sensors, GPS, GSM technology. These technologies help us detect the accident and send the location to family members and emergency services.

scholarly journals Fast Object Detection Using Dimensional Based Features for Public Street Environments

Smart Cities ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 93-111 ◽  
Author(s):  
Ivan Matveev ◽  
Kirill Karpov ◽  
Ingo Chmielewski ◽  
Eduard Siemens ◽  
Aleksey Yurchenko
Keyword(s):  
Low Power ◽  
Near Infrared ◽  
Moving Objects ◽  
Infrared Camera ◽  
Machine Learning Algorithms ◽  
Frame Rate ◽  
Raspberry Pi ◽  
Real World Data ◽  
Iot Devices

Modern object recognition algorithms have very high precision. At the same time, they require high computational power. Thus, widely used low-power IoT devices, which gather a substantial amount of data, cannot directly apply the corresponding machine learning algorithms to process it due to the lack of local computational resources. A method for fast detection and classification of moving objects for low-power single-board computers is shown in this paper. The developed algorithm uses geometric parameters of an object as well as scene-related parameters as features for classification. The extraction and classification of these features is a relatively simple process which can be executed by low-power IoT devices. The algorithm aims to recognize the most common objects in the street environment, e.g., pedestrians, cyclists, and cars. The algorithm can be applied in the dark environment by processing images from a near-infrared camera. The method has been tested on both synthetic virtual scenes and real-world data. The research showed that a low-performance computing system, such as a Raspberry Pi 3, is able to classify objects with acceptable frame rate and accuracy.

scholarly journals How Can I Grab That?

i-com ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 67-85
Author(s):  
Matthias Weise ◽  
Raphael Zender ◽  
Ulrike Lucke
Keyword(s):  
Virtual Reality ◽  
User Experience ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Advantages And Disadvantages ◽  
Multiple Dimensions ◽  
Application Developers ◽  
Three Dimensional Space

AbstractThe selection and manipulation of objects in Virtual Reality face application developers with a substantial challenge as they need to ensure a seamless interaction in three-dimensional space. Assessing the advantages and disadvantages of selection and manipulation techniques in specific scenarios and regarding usability and user experience is a mandatory task to find suitable forms of interaction. In this article, we take a look at the most common issues arising in the interaction with objects in VR. We present a taxonomy allowing the classification of techniques regarding multiple dimensions. The issues are then associated with these dimensions. Furthermore, we analyze the results of a study comparing multiple selection techniques and present a tool allowing developers of VR applications to search for appropriate selection and manipulation techniques and to get scenario dependent suggestions based on the data of the executed study.

scholarly journals Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

2021 ◽  
Vol 13 (9) ◽  
pp. 4716
Author(s):  
Moustafa M. Nasralla
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Virtual Reality ◽  
Time Series Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Rehabilitation Services ◽  
Simulation Scenario ◽  
Common Problems ◽  
Iot Devices

To develop sustainable rehabilitation systems, these should consider common problems on IoT devices such as low battery, connection issues and hardware damages. These should be able to rapidly detect any kind of problem incorporating the capacity of warning users about failures without interrupting rehabilitation services. A novel methodology is presented to guide the design and development of sustainable rehabilitation systems focusing on communication and networking among IoT devices in rehabilitation systems with virtual smart cities by using time series analysis for identifying malfunctioning IoT devices. This work is illustrated in a realistic rehabilitation simulation scenario in a virtual smart city using machine learning on time series for identifying and anticipating failures for supporting sustainability.

scholarly journals The environmental navigation using geometric virtual reality

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878363 ◽  
Author(s):  
Nien-Tsu Hu ◽  
Pu-Sheng Tsai ◽  
Ter-Feng Wu ◽  
Jen-Yang Chen ◽  
Lin Lee
Keyword(s):  
Virtual Reality ◽  
System Architecture ◽  
Three Dimensional ◽  
Wearable Devices ◽  
Wireless Transmission ◽  
Wearable Electronics ◽  
Virtual Reality Environment ◽  
Landscape Models ◽  
Three Dimensional Models ◽  
Animation Software

This article explores the construction of a geometric virtual reality platform for the environmental navigation. Non-panoramic photos and wearable electronics with Bluetooth wireless transmission functions are used to combine the user’s actions with the virtual reality environment in a first-person virtual reality platform. The 3ds Max animation software is used to create three-dimensional models of real buildings. These models are combined with the landscape models in Unity3d to create a virtual campus scene that matches real landscape. The wearable device included an ATMega168 chip as a microcontroller; it was connected to a three-axis accelerometer, a gyroscope, and a Bluetooth transmitter to detect and transmit various movements of the user. Although the development of the mechatronics, software, and engineering involved in the three-dimensional animation are the main objective, we believe that the methods and techniques can be modified for various purposes. After the system architecture was created and the operations of the platform were verified, wearable devices and virtual reality scenes are concluded to be able to be used together seamlessly.

scholarly journals Classification of Evaluation Methods for the Effective Assessment of Simulation Games: Results from a Literature Review

2019 ◽  
Vol 9 (1) ◽  
pp. 19 ◽  
Author(s):  
Niluefer Deniz Faizan ◽  
Alexander Löffler ◽  
Robert Heininger ◽  
Matthias Utesch ◽  
Helmut Krcmar
Keyword(s):  
Literature Review ◽  
Current Trend ◽  
Evaluation Methods ◽  
Simulation Game ◽  
Simulation Games ◽  
Research Papers ◽  
Free Environment ◽  
Effective Assessment ◽  
A Current

As a current trend in teaching, simulation games play an active and important role in the area of technology-based education. Simulation games create an envi-ronment for scholars to solve real-world problems in a risk-free environment. Therefore, they aim to increase the knowledge base as well as learning experienc-es for students. However, assessing the effectiveness of a simulation game is necessary to optimize elements of the game and increase their learning effect. In order to achieve this aim, different evaluation methods exist, which do not always involve all phases when running a simulation game. In this study, we conduct a literature review to analyze evaluation methods for three phases of simulation games: pre-game, in-game, and post-game. Thirty-one peer-reviewed research papers met specified selection criteria and we classified them according to a di-dactic framework that illustrates four phases of running simulation games: Prepa-ration, Introduction, Interaction and Conclusion phase. Based on the results, we provide a concrete evaluation strategy that will be a guide to assess simulation games during all phases. This study contributes to theory by providing an over-view of evaluation methods for the assessment of simulation games within the different game phases. It contributes to practice by providing a concrete evalua-tion strategy that can be adapted and used to assess simulation games.

scholarly journals VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)

2019 ◽  
Vol 01 (01) ◽  
pp. 24-34 ◽  
Author(s):  
Smys S ◽  
Jennifer S. Raj ◽  
Krishna raj N.
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Sexual Abuse ◽  
Virtual Reality ◽  
Virtual Environments ◽  
Virtual Environment ◽  
Stress Disorder ◽  
Raspberry Pi ◽  
Virtual Reality Simulation ◽  
Motion Platform ◽  
Person Experience

Virtual reality (VR) technology has the potential to make a person experience anything, anytime, anywhere. It has the ability to influence the human brain that it assumes to be present somewhere that it is really not. In this paper, we exploit this application of the VR technology to simulate virtual environments that can help with PTSD therapy for people affected by trauma due to accident, war, sexual abuse and so on. Several sensors are used to gather the user movements on a motion platform and replicate it in the virtual environment with the help of a Raspberry Pi board and Unreal Developer’s kit. It has flexible interfaces that the clinician can modify the virtual environment according to the requirement for the patient.

scholarly journals Sistem Pengontrolan Lampu Gedung STMIK AMIK Riau Berbasis IoT (Internet Of Things)

2018 ◽  
Vol 3 (2) ◽  
pp. 131
Author(s):  
Rometdo Muzawi ◽  
Wahyu Joni Kurniawan
Keyword(s):  
Internet Of Things ◽  
Current Trend ◽  
Control Process ◽  
Internet Technology ◽  
Raspberry Pi ◽  
The Internet ◽  
Lighting Control ◽  
Turn On ◽  
Security Officers ◽  
Internet Network

Internet of Things, also known as abbreviation IoT, is a hardware device (Raspberry Pi) that can connect to the internet with the aim of expanding the internet network connected to the hardware. The development of the Internet of things is a 4.0 technological revolution which is again the current trend. One of the uses of IoT technology is controlling room lights through an internet network that is controlled via a smartphone that can be operated remotely anywhere and anytime. But so far the control of the lights at STMIK Amik Riau is still done manually where security officers approach the swish button to turn on the lights. Therefore it is necessary to design a device that can control electronic equipment (lights) in real time. Where this study aims to build remote-controlled devices by utilizing internet technology to carry out an Internet of Things (IoT) based light control process. This research was conducted by building a prototype with python and mobile based programming applications. In this study there is a room lighting control feature with the first condition that one lamp is used to turn on a lamp and the second condition is used to turn on the lights simultaneously and coupled with camera modules to monitor the condition of the room

scholarly journals Enhanced Algorithm Implementation for Low Powered IoT Devices Using Authenticator to Improve Data Integrity

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 733-751
Author(s):  
D.M. Sheeba
Keyword(s):  
Data Security ◽  
Low Cost ◽  
Easy Access ◽  
Raspberry Pi ◽  
Network Availability ◽  
Services Delivery ◽  
Encryption And Decryption ◽  
Arduino Uno ◽  
Iot Devices ◽  
Algorithm Implementation

Internet of Things enables many industries to connect to end customers and provide seamless products and services delivery. Due to easy access to network, availability of devices, penetration of IoT services exponentially Growing. Meanwhile, Ensuring the Data Security and Integrity of devices connected to network is paramount. In this work, we bring the efficient way of implementing Secure Algorithm for low powered devices and enhancing the encryption and decryption process. In addition to the data security, to enhance node integrity with less power, Authenticator and intermediate network manager introduced which will acts as a firewall and manager of data flow. To demonstrate the approach, same is implemented using low cost Arduino Uno, Raspberry Pi boards. Arduino Uno used to demonstrate low powered encryption process using EDIA Algorithm and raspberry pi used as nodal manager to manage the integrity of nodes in a low-powered environment. Data Security and Integrity is ensured by the way of enhanced Algorithm and Integrity through BlockChain and results are provided and discussed. Finally result and future enhancement are explained.

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