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FallDetectify.
Project Type
UX/UI and HCI Design
Product Engineering
Role
UI & UX Designer
Engineer
Duration
16 Weeks
Tasks
Research, UX, Prototyping, Engineering
Overview
WHO claims that falls are responsible for the second greatest cause of involuntary injury deaths globally. In light of this, a reliable fall detection system can prove beneficial and handy.
Challenge
How might we design a solution that enables real-time fall detection for the elderly and disabled, ensuring prompt intervention and safety without requiring constant medical supervision?
Solution
This fall detection system provides results in less time and in a more specified manner. The novelty of this system goes hand in hand with automating facets of the fall detection process, notifying the fall, displaying the required update on the app, and apprising the user.
Research
Fall detection has become a crucial concern in the medical and health industry due to the rapid growth of the elderly and disabled populations.
The lives and health of modern individuals are also gravely threatened by falls brought on by overwork and severe heart
disease.
So, it is vital to work on this issue with innovations to produce positive outcomes since, as has been seen, falls may have a terrible influence on a significant number of lives in a great variety of ways.
Research Insights
Approach
The smart chair features a Raspberry Pi with a power supply, enabling sound output via the RCA Video/Audio Jack to assist the user and alert the surroundings in case of a fall
The help request is triggered by buttons on the chair, allowing the user to request assistance with food, water, general needs, or washroom requirements while seated.
Pressing the start button activates the system, enabling sensors to monitor values. If a sensor's reading exceeds the threshold, the fall detection system is triggered
The fall detection is sent to the Raspberry Pi, which broadcasts the user's status via the audio jack and speaker. The IoT platform also notifies the concerned person’s mobile phone.
User Personas
We defined three principal user groups and developed personas to represent each of their personalities based on the interviews’ results.
We were able to spot opportunities and develop user-centered designs by taking into account
the user's motivations and challenges with their current everyday life scenarios.
Process
The chair features a Raspberry Pi with a power supply and an RCA Video/Audio Jack for sound output. The system alerts the surroundings in case of a fall and allows the user to request help with food, water, general needs, or washroom requirements via buttons mounted on the chair.
Pressing the start button activates the system, launching sensors like the MPU6050 accelerometer and gyroscope. If a sensor’s reading exceeds its threshold, the fall detection system is triggered.
The detected fall is sent to the Raspberry Pi, which broadcasts the user's status via the audio jack and speaker, and notifies the concerned person’s mobile phone.
Flow Chart
Created a flowchart diagram to systematically organize the navigation structure prior to initiating the wireframing process.
The system begins by powering on and connecting to the Raspberry Pi.
The system includes modules like assistive buttons and a fall detection sensor.
When assistance buttons are pressed or a fall is detected, the information is sent to the audio jack and the IoT platform.
The system begins by powering on and connecting to the Raspberry Pi.
This notifies the surrounding environment and the mobile phone. Additionally, a temperature sensor provides data on the user's body temperature.
Illustrations
These illustrations serve to communicate the product's functionality and real-world impact effectively before implementation.
Implemented Product
This showcases the final realization of the Smart Assistive Chair, highlighting its fully integrated features, functional capabilities, and real-world application.
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It demonstrates how design concepts and technical innovations were brought together to create a practical solution that prioritizes user safety, convenience, and health monitoring.
This fall detection chair is designed with assistive buttons integrated into one armrest and a temperature sensor installed on the other.
The fall detection system's circuitry is securely enclosed at the back of the chair, enabling precise fall detection when incidents occur.
Information Architecture
The IA outlines the logical structure and flow of information within the FallDetectify mobile application, emphasizing user-centric design and seamless interaction with intuitive operation.
Concept Sketches
The sketching highlights the ideation process behind it, showcasing how initial ideas evolved into a fully functional design.
Wireframes
I created and tested prototypes before moving on to visual design. This approach helped to prioritize features and fucntions.
Low-Fidelity
High-Fidelity
SCREENS
UI
SignUp &
Verify
We begin by choosing to sign up or log in to create an account.
To ensure credibility and secure access, a verification process is conducted to validate the provided credentials.
Details for Care
After verification, the user's essential information is entered into the system under "User Details." Additionally, guardian information is recorded to ensure they receive real-time updates generated by the Fall Detection System.
Stronger the Connection, Better the Reception
After signing up, the application must be connected to the system to recieve real-time updates.
Dive Deeper
The profile offers crucial in-depth user statistics and allows for any necessary edits. Additionally, it provides access to the application settings for further customization.
Stay Alert
The alerts display a recent record of user assistance requests and even by selected date range filter.
Home to Look Out
The home screen displays the fall status, recent user alerts, and body temperature updates. It also offers personalized visibility into the user’s medication schedule.
FallDetectify
Demo
This demo provides a high-level overview of how the FallDetectify user will interact with the application in a real-world scenario.
Interactive Prototype
for you.
Outcomes
The Outcomes highlight the impact and real-world benefits of the product, as expressed through user feedback.
These testimonials demonstrate how the product has transformed the lives of both users and caregivers, delivering safety, convenience, and peace of mind.
Key Takeaways
Next Steps
Mobility Enhancement: Add wheels and a simple handle to enable users to move around effortlessly while seated in the chair.
Fall Impact Mitigation: Integrate airbag functionality to minimize the impact of falls, further enhancing user safety and comfort.