The document describes a proposed dementia virtual memory app. It includes:
1. An overview of the app's objectives to help people with dementia cope with memory loss and improve quality of life.
2. Details about the app's features like mood tracking, a memory box to store photos, and memory exercises to stimulate the brain.
3. The benefits of the app in allowing users to remember past moods, keep important memories, and speak about stored photos.
The document describes a mobile application called "I Remember" being developed by a team of students to assist Alzheimer's patients. The application will utilize GPS, Bluetooth, and cloud computing to allow patients to live more independently through features like locating the patient, logging daily events, providing information on contacts and places, and setting safety alerts. Relatives will also have an interface to view the patient's location and manage shared memories. The goal is to help patients through technology while limiting dependence on others and reducing family burden.
Final presentation of theoretical Alzheimer's medication adherence system, designed at Tufts University by Conor Ward, Emily Eickhoff, Alex Pugnali, Chris Shultz, and Rachel Terveer.
This document describes a proposed mobile application to help patients with dementia. It discusses how dementia causes progressive cognitive decline and difficulties with daily activities. The proposed app aims to assist with daily tasks and routines to help patients function more independently. It would include features like reminders, emergency contacts, navigation assistance, and brain games. The document outlines the design of the app, including high-level modules and system architecture. Screenshots are provided of sample app interfaces. It concludes that the app could help support patients and caregivers in managing the challenges of dementia.
This project is about the development of a novel electronic speaking system for dumb and paralyzed persons. Due to their physical disability, an attender is always required to monitor and help their day to day activities. However, most of the time, attender is idle and the attender time is wasted. Hence, an electronic system is proposed in this project to help the dumb and paralyzed persons to communicate their need to the attender. The attender may be entrusted with other work during the time, when dumb and paralyzed persons do not need the support of attenders. This avoids the attenders continuously monitoring the dumb and paralyzed persons and the attenders may engage themselves in other works.
The document proposes a system that combines gesture recognition, voice assistance and health monitoring to enhance communication for speech-impaired individuals. The system uses a glove with flex sensors and an Android application to recognize sign language gestures and convert them to voice. It also monitors the user's heart rate. The goal is to allow independent and improved communication while managing health. The expected outcomes include accurate gesture identification, converting gestures to speech, and monitoring heart rate through gestures.
1) The team aims to address the lack of accessible healthcare in India by building machine learning tools for rapid screening and diagnosis using large healthcare datasets.
2) They conducted a field study collecting health data from 500 patients using various devices and built annotation tools for doctors to label the data.
3) The goal is to develop automated screening, detection, and diagnosis machine learning models trained on this annotated data to assist doctors and increase accessibility of healthcare.
Connected Health in Multiple Sclerosis: a mobile applications reviewGuido Giunti
This presentation provides a summary of the scientific article titled “Connected Health in Multiple Sclerosis: a mobile applications review” by Guido Giunti, Estefania Guisado-Fernandez and Brian Caulfield submitted to IEEE CBMS 2017.
It offers insight on the different app functionalities; the proportion of each type; intended audiences; and developing entities. See full article at :http://arxiv.org/abs/1705.03227
The document describes a mobile application called "I Remember" being developed by a team of students to assist Alzheimer's patients. The application will utilize GPS, Bluetooth, and cloud computing to allow patients to live more independently through features like locating the patient, logging daily events, providing information on contacts and places, and setting safety alerts. Relatives will also have an interface to view the patient's location and manage shared memories. The goal is to help patients through technology while limiting dependence on others and reducing family burden.
Final presentation of theoretical Alzheimer's medication adherence system, designed at Tufts University by Conor Ward, Emily Eickhoff, Alex Pugnali, Chris Shultz, and Rachel Terveer.
This document describes a proposed mobile application to help patients with dementia. It discusses how dementia causes progressive cognitive decline and difficulties with daily activities. The proposed app aims to assist with daily tasks and routines to help patients function more independently. It would include features like reminders, emergency contacts, navigation assistance, and brain games. The document outlines the design of the app, including high-level modules and system architecture. Screenshots are provided of sample app interfaces. It concludes that the app could help support patients and caregivers in managing the challenges of dementia.
This project is about the development of a novel electronic speaking system for dumb and paralyzed persons. Due to their physical disability, an attender is always required to monitor and help their day to day activities. However, most of the time, attender is idle and the attender time is wasted. Hence, an electronic system is proposed in this project to help the dumb and paralyzed persons to communicate their need to the attender. The attender may be entrusted with other work during the time, when dumb and paralyzed persons do not need the support of attenders. This avoids the attenders continuously monitoring the dumb and paralyzed persons and the attenders may engage themselves in other works.
The document proposes a system that combines gesture recognition, voice assistance and health monitoring to enhance communication for speech-impaired individuals. The system uses a glove with flex sensors and an Android application to recognize sign language gestures and convert them to voice. It also monitors the user's heart rate. The goal is to allow independent and improved communication while managing health. The expected outcomes include accurate gesture identification, converting gestures to speech, and monitoring heart rate through gestures.
1) The team aims to address the lack of accessible healthcare in India by building machine learning tools for rapid screening and diagnosis using large healthcare datasets.
2) They conducted a field study collecting health data from 500 patients using various devices and built annotation tools for doctors to label the data.
3) The goal is to develop automated screening, detection, and diagnosis machine learning models trained on this annotated data to assist doctors and increase accessibility of healthcare.
Connected Health in Multiple Sclerosis: a mobile applications reviewGuido Giunti
This presentation provides a summary of the scientific article titled “Connected Health in Multiple Sclerosis: a mobile applications review” by Guido Giunti, Estefania Guisado-Fernandez and Brian Caulfield submitted to IEEE CBMS 2017.
It offers insight on the different app functionalities; the proportion of each type; intended audiences; and developing entities. See full article at :http://arxiv.org/abs/1705.03227
This document proposes an Android app to improve security for women, elderly people, and those with disabilities. The app has three main features: 1) A message reader that converts text messages to voice for visually impaired users. 2) An emergency request system that sends alerts with the user's location if they press a phone button repeatedly. 3) A medication reminder that notifies users when it is time to take pills through alarms and notifications. The app is designed to give vulnerable groups more independence by helping them communicate and request help when needed. It could improve safety for women and quality of life for elderly and disabled individuals.
This document describes a virtual medical support application that was developed to facilitate communication between patients, doctors, and hospitals. The application allows users like patients, doctors, nurses, and volunteers to interact through chat, video calls, blogs, and group video chats. It also provides emergency messaging capabilities and allows patients to set medication reminders. All patient records, charts, and progress reports can be maintained and viewed through the application by authorized users like doctors and relatives. The application aims to bring all stakeholders together in a virtual environment to ensure patients are never without help or support.
This project explored the literature regarding the mobile delivery of health care information and its impact on health sciences library collection management
This document discusses socially embodied technologies as a grand challenge that can be addressed through novel sensors, ubiquitous computing, and artificial intelligence. It proposes a solution where epidermal electronic chips and implantable/wearable devices provide sensory feedback to a mentor AI. This would allow the AI to better understand human behavior and perception in order to intelligently educate users through natural communication and customized learning experiences. However, such technologies also raise ethical issues regarding privacy, data usage, and user access that should be addressed through design features like anonymization and user control over personal data collection and access.
How Augmented Communication Devices Could Enhance Connectivity? | Enterprise ...Enterprise Wired
Let’s explore the world of Augmented Communication Devices, their impact on the lives of users, and how they are transforming the way we connect and communicate.
DETECTION AND CLASSIFICATION OF SKIN DISEASE USING DEEP LEARNINGIRJET Journal
This document discusses a research paper that aims to detect and classify skin diseases using deep learning techniques. It presents the motivation for developing such a system by highlighting limitations in manual diagnosis. The proposed system uses convolutional neural networks (CNNs) to analyze dermatological images and classify common skin diseases like melanoma, nevus, and seborrheic keratosis. By training models like InceptionV3 and AlexNet on a dataset of 938 skin disease images, the system is able to achieve 70-80% accuracy in classifying different conditions. The system aims to provide a preliminary diagnosis to help reduce costs and safety risks associated with in-person dermatologist consultations.
Health Guardian - Little Green MonstersMannMadeMedia
The document provides information about a proposed health monitoring app called Health Guardian. It discusses the growing smartphone and health app market as context. It then outlines the key features and benefits of the proposed Health Guardian app and system, which would allow users to automatically and continuously collect health data from various connected devices and input it into a central app and website for easy access and analysis. Finally, it discusses the potential marketing and sales strategy to promote the Health Guardian app, including social media marketing, direct marketing to medical professionals, and optimizing the app listing and promotions.
The document discusses the use of smartphone technology in behavioral health care. It describes how apps can be used for symptom tracking, psychoeducation, and integrating treatment. Examples of apps are provided for various clinical areas like mood disorders, substance abuse, and anxiety. Both pros and cons of using apps are discussed. While apps have potential benefits, issues around quality standards, data security, and privacy need to be addressed. Additional ethical considerations involve setting clear boundaries for client communication.
Rate Ur' Beats is a mobile web app that aims to engage individuals to assess their cardiovascular disease risk by getting biomarker readings like cholesterol and blood pressure. It features an intuitive interface and provides a risk snapshot, details on improving risk factors, locations for screenings, reminders, and lifestyle recommendations. The app is built using technologies like jQuery, HTML5, Java and hosted on a cloud server to scale easily. It aims to create awareness and a large customer base through social sharing and search engine optimization.
ANDROID APP FOR LOCATION BASED HEALTHCARE SERVICES 1 (3)Lubhna Kaul
This document proposes a rural healthcare system that uses location-based mobile services on Android devices. It would allow patients to find the nearest hospital by getting their location via GPS. It would also provide universally accepted medicine recommendations based on diagnosed diseases. The goal is to improve access to healthcare in rural areas where medical facilities and information are often scarce.
Designing and Evaluating a Cognitive Prosthetic for People with Mild DementiaUlster University
The COGKNOW project aimed to develop and evaluate a cognitive prosthetic device and services to help people with mild dementia experience greater autonomy. Over three years, the project involved workshops with people with dementia and carers to understand needs in areas like memory, social contact, daily activities, and safety. This led to the development of the COGKNOW Day Navigator, a device that provided reminding, activity support, picture dialing, and safety functions. Evaluation found it was generally well-received and useful, especially for reminding, though further development was needed for safety functions. Technically, an iterative user-centered design approach integrating off-the-shelf technologies was used. While demonstrating technical and user benefits, the project also identified
Investigating Assisting Mental Health Condition using Sentiment Analysis thro...IRJET Journal
This document presents a proposed Android application to assist those with mental health conditions using sentiment analysis through natural language processing (NLP). The application would allow users to sign up, take personality tests, track their mental state by writing daily thoughts in a diary with machine learning used to predict mood, chat with other users and mental health professionals, and have one-on-one video conversations with professionals. The goal is to provide accessible remote mental health support for all, as seeking treatment remains stigmatized in some societies and remote areas lack facilities. The proposed system uses technologies like NLP, machine learning, chatbots and video calls to analyze language and facilitate communication within the application.
eCompliance is a biometric system using fingerprint scanning that can help curb the spread of drug-resistant tuberculosis (MDR-TB) internationally through improved treatment adherence monitoring. It ensures patients receive supervised doses of medication and providers record this accurately in real-time. Initial implementations in India and Uganda found default rates reduced to near zero compared to over 16% previously. The system uses inexpensive smartphones and fingerprint readers with software that logs patient visits, sends alerts if doses are missed, and generates automated reports. This provides transparent, high-quality treatment supervision that can prevent further development of drug resistance from defaulting on medication schedules.
eCompliance is an electronic treatment monitoring system that uses biometric fingerprint scanning to ensure accuracy and adherence in tuberculosis (TB) treatment. It aims to curb the growth of multi-drug resistant TB (MDR-TB) by preventing missed and unsupervised doses. Field tests in India and Uganda found death and default rates reduced to zero compared to over 16% previously. eCompliance creates an indisputable record of each patient visit and drug dose taken by requiring fingerprint scans. This eliminates human errors in record keeping and gaps in treatment supervision that can lead to drug resistance. Initial results found it improved treatment motivation and outcomes while increasing health worker productivity by 30%.
This document discusses how technology can help those with locked-in syndrome. Locked-in syndrome causes complete paralysis except for eye movement. The author chooses to focus on a wheelchair with computer interface that allows those with locked-in syndrome to communicate. The technology helps by using eye tracking software like Dasher to select letters and type, allowing communication. The benefits are regaining ability to communicate through technology when all other muscles are paralyzed. The author will research and interview people to learn how to create a product to help address this health issue.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
This document proposes an Android app to improve security for women, elderly people, and those with disabilities. The app has three main features: 1) A message reader that converts text messages to voice for visually impaired users. 2) An emergency request system that sends alerts with the user's location if they press a phone button repeatedly. 3) A medication reminder that notifies users when it is time to take pills through alarms and notifications. The app is designed to give vulnerable groups more independence by helping them communicate and request help when needed. It could improve safety for women and quality of life for elderly and disabled individuals.
This document describes a virtual medical support application that was developed to facilitate communication between patients, doctors, and hospitals. The application allows users like patients, doctors, nurses, and volunteers to interact through chat, video calls, blogs, and group video chats. It also provides emergency messaging capabilities and allows patients to set medication reminders. All patient records, charts, and progress reports can be maintained and viewed through the application by authorized users like doctors and relatives. The application aims to bring all stakeholders together in a virtual environment to ensure patients are never without help or support.
This project explored the literature regarding the mobile delivery of health care information and its impact on health sciences library collection management
This document discusses socially embodied technologies as a grand challenge that can be addressed through novel sensors, ubiquitous computing, and artificial intelligence. It proposes a solution where epidermal electronic chips and implantable/wearable devices provide sensory feedback to a mentor AI. This would allow the AI to better understand human behavior and perception in order to intelligently educate users through natural communication and customized learning experiences. However, such technologies also raise ethical issues regarding privacy, data usage, and user access that should be addressed through design features like anonymization and user control over personal data collection and access.
How Augmented Communication Devices Could Enhance Connectivity? | Enterprise ...Enterprise Wired
Let’s explore the world of Augmented Communication Devices, their impact on the lives of users, and how they are transforming the way we connect and communicate.
DETECTION AND CLASSIFICATION OF SKIN DISEASE USING DEEP LEARNINGIRJET Journal
This document discusses a research paper that aims to detect and classify skin diseases using deep learning techniques. It presents the motivation for developing such a system by highlighting limitations in manual diagnosis. The proposed system uses convolutional neural networks (CNNs) to analyze dermatological images and classify common skin diseases like melanoma, nevus, and seborrheic keratosis. By training models like InceptionV3 and AlexNet on a dataset of 938 skin disease images, the system is able to achieve 70-80% accuracy in classifying different conditions. The system aims to provide a preliminary diagnosis to help reduce costs and safety risks associated with in-person dermatologist consultations.
Health Guardian - Little Green MonstersMannMadeMedia
The document provides information about a proposed health monitoring app called Health Guardian. It discusses the growing smartphone and health app market as context. It then outlines the key features and benefits of the proposed Health Guardian app and system, which would allow users to automatically and continuously collect health data from various connected devices and input it into a central app and website for easy access and analysis. Finally, it discusses the potential marketing and sales strategy to promote the Health Guardian app, including social media marketing, direct marketing to medical professionals, and optimizing the app listing and promotions.
The document discusses the use of smartphone technology in behavioral health care. It describes how apps can be used for symptom tracking, psychoeducation, and integrating treatment. Examples of apps are provided for various clinical areas like mood disorders, substance abuse, and anxiety. Both pros and cons of using apps are discussed. While apps have potential benefits, issues around quality standards, data security, and privacy need to be addressed. Additional ethical considerations involve setting clear boundaries for client communication.
Rate Ur' Beats is a mobile web app that aims to engage individuals to assess their cardiovascular disease risk by getting biomarker readings like cholesterol and blood pressure. It features an intuitive interface and provides a risk snapshot, details on improving risk factors, locations for screenings, reminders, and lifestyle recommendations. The app is built using technologies like jQuery, HTML5, Java and hosted on a cloud server to scale easily. It aims to create awareness and a large customer base through social sharing and search engine optimization.
ANDROID APP FOR LOCATION BASED HEALTHCARE SERVICES 1 (3)Lubhna Kaul
This document proposes a rural healthcare system that uses location-based mobile services on Android devices. It would allow patients to find the nearest hospital by getting their location via GPS. It would also provide universally accepted medicine recommendations based on diagnosed diseases. The goal is to improve access to healthcare in rural areas where medical facilities and information are often scarce.
Designing and Evaluating a Cognitive Prosthetic for People with Mild DementiaUlster University
The COGKNOW project aimed to develop and evaluate a cognitive prosthetic device and services to help people with mild dementia experience greater autonomy. Over three years, the project involved workshops with people with dementia and carers to understand needs in areas like memory, social contact, daily activities, and safety. This led to the development of the COGKNOW Day Navigator, a device that provided reminding, activity support, picture dialing, and safety functions. Evaluation found it was generally well-received and useful, especially for reminding, though further development was needed for safety functions. Technically, an iterative user-centered design approach integrating off-the-shelf technologies was used. While demonstrating technical and user benefits, the project also identified
Investigating Assisting Mental Health Condition using Sentiment Analysis thro...IRJET Journal
This document presents a proposed Android application to assist those with mental health conditions using sentiment analysis through natural language processing (NLP). The application would allow users to sign up, take personality tests, track their mental state by writing daily thoughts in a diary with machine learning used to predict mood, chat with other users and mental health professionals, and have one-on-one video conversations with professionals. The goal is to provide accessible remote mental health support for all, as seeking treatment remains stigmatized in some societies and remote areas lack facilities. The proposed system uses technologies like NLP, machine learning, chatbots and video calls to analyze language and facilitate communication within the application.
eCompliance is a biometric system using fingerprint scanning that can help curb the spread of drug-resistant tuberculosis (MDR-TB) internationally through improved treatment adherence monitoring. It ensures patients receive supervised doses of medication and providers record this accurately in real-time. Initial implementations in India and Uganda found default rates reduced to near zero compared to over 16% previously. The system uses inexpensive smartphones and fingerprint readers with software that logs patient visits, sends alerts if doses are missed, and generates automated reports. This provides transparent, high-quality treatment supervision that can prevent further development of drug resistance from defaulting on medication schedules.
eCompliance is an electronic treatment monitoring system that uses biometric fingerprint scanning to ensure accuracy and adherence in tuberculosis (TB) treatment. It aims to curb the growth of multi-drug resistant TB (MDR-TB) by preventing missed and unsupervised doses. Field tests in India and Uganda found death and default rates reduced to zero compared to over 16% previously. eCompliance creates an indisputable record of each patient visit and drug dose taken by requiring fingerprint scans. This eliminates human errors in record keeping and gaps in treatment supervision that can lead to drug resistance. Initial results found it improved treatment motivation and outcomes while increasing health worker productivity by 30%.
This document discusses how technology can help those with locked-in syndrome. Locked-in syndrome causes complete paralysis except for eye movement. The author chooses to focus on a wheelchair with computer interface that allows those with locked-in syndrome to communicate. The technology helps by using eye tracking software like Dasher to select letters and type, allowing communication. The benefits are regaining ability to communicate through technology when all other muscles are paralyzed. The author will research and interview people to learn how to create a product to help address this health issue.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Similar to Dementia Virtual Memory APP_20231213_093711_0000.pptx (20)
This presentation is about Food Delivery Systems and how they are developed using the Software Development Life Cycle (SDLC) and other methods. It explains the steps involved in creating a food delivery app, from planning and designing to testing and launching. The slide also covers different tools and technologies used to make these systems work efficiently.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
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This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
1. Dementia Virtual Memory App
DOMAIN: ANDROID DEVELOPMENT
Computer and Communication Engineering
Team Members
Mohanraj R
Aashik N
Arshath J
Selvaprasath S
Project Guide
MR.SARAVANAN J
Assistant
Professor
2. Domain
• Android operating system is the largest installed
base among various mobile platforms across the
globe.
• Hundreds of millions of mobile devices are powered
by Android in more than 190 countries of the
world.
• It conquered around 71% of the global market share
by the end of 2021, and this trend is growing
bigger every other day.
3. Project Objective
• The objective of dementia virtual memory is
to help people with dementia cope with
memory loss and improve their quality of
life.
• Dementia is a syndrome that affects memory,
thinking, behavior, and emotion.
4. Dementia Virtual Memory App
ABSTRACT
• Dementia is a syndrome characterized by memory
impairment and disruptions in thought patterns.
• As per the estimates of the World Health
Organization, around 50 million people around the
world suffer from Dementia with nearly 10 million
new cases every year.
• Along with the patient, the symptoms of Dementia
tend to take a toll on their caregivers and loved
ones as well.
5. AI Based Caregiver for Dementia Patients
• The AI-Based Care Giver for dementia patients is an
Augmented Reality smart glass that acts as an
alternate caregiving system that replaces humans.
• This system establishes the daily routine of the
demented patient by learning his/her test routine and
predicting the most appropriate output by machine
learning.
Existing Systems
6. Disadvantages
• It may not be widely available or affordable for many
people with dementia, especially in low- and middle-
income countries, where the burden of dementia is
higher and the resources are limited.
• It may not be compatible with all types of smart
glasses or other devices, which may affect its
performance and functionality.
7. Source Methodology used Merits Demerits
1
The methodology used in the Alzheimer’s
Care System (ACS) involves the
development of a smartphone Android app
that serves Alzheimer’s early-stage
patients, their caregivers, and their
doctors.
Comprehensive Care: ACS
provides a variety of useful
services aiming to make the
patient’s life easier,
healthier, and safer.
Platform Limitation: The app is
currently only available for Android.
This excludes users with other
operating systems like iOS.
2
The methodology used in Conversational
Affective Social Robots for Ageing and
Dementia Support involves the use of
Socially Assistive Robots (SAR) to
assist older adults and people with
dementia in human engagement and
clinical contexts by supporting mental
health and independence at home.
Robustness and Engagement:
The deployment of robots
with conversational
abilities is fundamental for
robustness and human–robot
engagement.
Immature Clinical Translation: While
SAR research has recently experienced
prolific growth, long-term trust,
clinical translation, and patient
benefit remain immature.
Literature Survey
8. Source Methodology used Merits Demerits
3
Advancements in conversational artificial
intelligence (AI) have created unparalleled
opportunities to promote the independence and
well-being of older adults, including people
living with dementia (PLWD). We introduce an
infrastructure fusing in-home activity data
captured by Internet of Things (IoT)
technologies with voice interactions using
conversational technology (Amazon Alexa).
Innovative Use of Technology: The
system fuses in-home activity data
captured by IoT technologies with
voice interactions using
conversational technology (Amazon
Alexa).
Decrease in Usage: A
significant decrease in
conversational
technology usage was
observed after the
novelty phase across the
cohort.
4
Vascular dementia is the second most common
form of dementia and a leading cause of death.
Brain stroke and brain atrophy are the major
degenerative pathologies associated with
vascular dementia. Timely detection of these
progressive pathologies is critical to avoid
brain damage.
Innovative Use of Technology: The
system provides a novel concept of
using RF sensors for the detection
of brain stroke and brain atrophy.
Limited Accessibility:
The system might be
limited to individuals
who can afford and
operate such technology.
.
9. Source Methodology used Merits Demerits
5
Technological developments provide
solutions to alleviate the tremendous
impact on the health and autonomy due
to the impact of dementia on
navigation abilities. We
systematically reviewed the literature
on devices tested to provide
assistance to people with dementia
during indoor, outdoor and virtual
navigation.
Comprehensive Review: The review covers a
wide range of devices and studies, from
simple GPS trackers to complex virtual
reality systems.
Limited Evidence: The
review acknowledges that
the evidence base for
the effectiveness and
usability of navigation
assistance systems for
people with dementia is
limited, due to the
heterogeneity of the
devices, studies and
outcomes.
6
Vascular dementia is the second most
common form of dementia and a leading
cause of death. Brain stroke and brain
atrophy are the major degenerative
pathologies associated with vascular
dementia. Timely detection of these
progressive pathologies is critical to
avoid brain damage.
Innovative Use of Technology: The system
provides a novel concept of using RF
sensors for the detection of brain stroke
and brain atrophy.
Limited Accessibility:
The system might be
limited to individuals
who can afford and
operate such technology.
.
10. Base Paper
• Alzheimer’s disease is a progressive neurological
disorder that is very common among older adults.
• In truth, taking care of Alzheimer’s patients can be
a very tedious job that requires a lot of time and
effort.
• On the other hand, smartphone applications (apps)
have become an essential part of all of our daily
life fields.
ACS: an innovative Alzheimer’s care system
11. Proposed work of Base Paper
• Multilingual Interface:
The app provides an interface in both Arabic
and English, making it accessible to patients in Arabic-
speaking countries who may struggle with similar apps in
other languages.
• Multiple Account Types:
The app provides three account types,
presumably for patients, caregivers, and doctors.
12. • Chatbot:
ACS includes a chatbot that provides general knowledge
about Alzheimer’s disease.
• Future Plans:
The developers plan to add other languages, develop an
iOS version, and add new features to the app.
• Comprehensive Features:
The app includes many useful features like messaging
between patients, caregivers, and doctors, tracking daily life
tasks, and reminding the patient of medication doses and times.
13. Disadvantages:
• Limited Language Support: Currently, the app only
supports Arabic and English. This could limit its
usability for non-Arabic and non-English speaking
users.
• Platform Limitation: The app is currently only
available for Android. This excludes users with
other operating systems like iOS.
• Dependence on User Input: The effectiveness of the
app may depend on the accuracy of the information
provided by the users.
15. Splash:
Introductory screen.
Logo of the app and short animation.
Register:
User can register using personal details.
Login:
User can login in his personal account using id and password.
Change Password:
can change the password within app.
Forgot Password:
Password will be sent on email.
Mood:
Select your mood from slider (example: happy, sad, etc...).
Speak about your previous mood when app restarts.
16. Memory Box:
• Randomly show all photos and when clicked speak about that
photo.
• Change button to call the random functions again.
• To store a important events and functions in application.
About me:
• Save or edit about me (user personal info).
• Speak about me via TTS.
Location Tracking:
• Track a location of patient.
18. Reference
• ACS: an innovative Alzheimer’s care system
Author :Saadeh Z. Sweidan, Nouhaila Bouanane & Khalid A. Darabkh
Universal Access in the Information Society (2023).
Published: 21 June 2023.
Link: https://link.springer.com/article/10.1007/s10209-023-01004-y
2.AI Based Caregiver for Dementia Patients.
Author : Ajay Basil Varghese; M. Gokilavani; Mareena Kunjachan;
Aagneyan Namboodhiri; George Menezes
Published: 20 December 2022.
Link:https://ieee.org/document/9640970
19. 3. Conversational Affective Social Robots for Ageing and Dementia
Support.
Author: Maria R. Lima; Maitreyee Wairagkar; Manish Gupta
Published: 27 September 2022
Link: https://ieee.org/document/8632632/
4.Discovering Behavioral Patterns Using Conversational Technology
for In-Home Health and Well-Being Monitoring.
Author:Maria R. Lima; Ting Su; Melanie Jouaiti; Maitreyee Wairagkar
Published:29 June 2023
Link:https://ieee.org/document/9090606/
20. 5.Work-In-Progress—Exploring the Feasibility of Using Hand
Tracking in VR Application for Memory Training Exercises.
Author: Stefan Kocher;Saeed Safikhani;Johanna Pirker
Published: 2022
link: https://ieeexplore.ieee.org/document/9815911
6.Chess Game Therapy to Improve the Mental Ability of Dementia‘s
Patients using AI Virtual Assistant.
Author:Joypriyanka M; Surendran R
Published:2023
Link:https://ieee.org/document/10113072
21. 7.Design and Evaluation of Wearable Multimodal RF Sensing System
for Vascular Dementia Detection.
Author: Usman Anwar; Tughrul Arslan; Amir Hussain; Tom C. Russ;
Peter Lomax
Published: 02 June 2023
Link: https://ieee.org/document/10143285/
8.A Systematic Review of Navigation Assistance Systems for People
With Dementia.
Author:Léa Pillette; Guillaume Moreau; Jean-Marie Normand; Manon
Perrier.
Published:2022
Link:https:ieee.org/document/9676472/