Project Overview

Athena is a human motion analytics system designed to support remote physiotherapy. It combines a mobile app for clients, wearable sensors, a digital twin for real-time feedback, and a web platform for physiotherapists.

How It Works

Clients use the app and sensors during exercises. Physiotherapists use the web platform to assign sessions, review metrics, and provide feedback

The sensor is configured to a joint

Digital twin shows real time movement

The app is used during exercises

Automated data is collected

Physiotherapists use the web platform

Problem Discovery

What problem am I trying to solve?

Setting up motion sensors for physiotherapy sessions was complex, repetitive, and prone to user error. Clients struggled with identifying which sensor went where and whether setup was done correctly, leading to inaccurate data and limited physiotherapist support.

How might we

The design direction

How might we help clients set up sensors correctly to track exercises and use their digital twin for feedback, while enabling physiotherapists to monitor progress and give real-time support?

The Solution

The app and its components

Smart Sensor Configuration

First-time setup asks users to select a body part, automatically flashing sensors for placement.
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Reduces guesswork by configuring once and saving it for future sessions.
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Ensures sensors are correctly mapped, allowing for reliable data collection.

Visual Feedback

Real-time guidance using a digital twin to verify sensor placement and exercise accuracy.
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Builds user trust in the setup and reduces physiotherapist intervention.

Automated Data Capture & Graphs

Completed sessions display stats and therapist feedback, supporting continuity in care. Users can compare performance (e.g., left vs. right knee) to self-correct movements.

Design system

Created a scalable design system to ensure consistency across screens, speed up the design process, and improve collaboration with developers. It helped maintain visual coherence, reduced repetitive work, and made handoffs more efficient and reliable.

01

Repair Scheduling

To integrate the repair service, I have designed a section with the features necessary to schedule the service. Users can book a pickup for their electronic items needing repair, select available time slots, and provide details about the device.

02

Progress Tracking

Real-time updates notify users at every step, from pickup to repair completion and return delivery.

03

Cost Estimates

Transparent pricing for repairs is displayed before booking, helping users make informed decisions.

04

Sustainability Insights

The app educates users on the environmental impact of repairing vs. discarding, fostering eco-friendly habits.

Potential Impact

Here is what the app helps with in the ecosystem:

Clients receive real-time feedback and accurate motion data, helping them correct form and stay consistent with exercises, leading to better recovery results

Visual feedback, progress tracking, and personalized notes keep users motivated and accountable throughout their rehabilitation journey.

Automated tracking and visual data reduce the need for constant supervision, allowing physiotherapists to focus on analyzing progress and tailoring treatment.

Athletes can complete guided sessions from home, reducing dependency on in-person visits and expanding access to care, especially in remote areas.

Learning outcomes

Notes to future self

Designing in the Unknown: Building for first-time users, hardware constraints, and a system that’s still taking shape.

When hardware meets software, it’s crucial to observe real user behavior and design around how people actually interact with the device, not how we want them to.

Design with the MVP in mind and build with flexibility. My solution should solve immediate needs while staying adaptable for future growth and changing requirements.