Theorema Systems

Remote Physiotherapy App for Athletes

Remote Physiotherapy App for Athletes

Rethinking the Overlay as a Control Surface
Rethinking the Overlay as a Control Surface

Role

Sole UI/UX Designer

Scope

Mobile App, Hardware Integration (Wearable Sensors)

Duration

January - April 2025

Overview

Simplifying remote human motion analytics for athletes and physical therapists.

Simplifying remote human motion analytics for athletes and physical therapists.

Athena is a human motion analytics system designed to bridge the gap between in-clinic rehabilitation and remote athletic recovery. During a 4-month internship at Theorema Systems, I served as the lead UI/UX designer on the mobile product, taking the app from early discovery and sensor mapping to high-fidelity prototypes and a scalable design system.

How It Works

Connecting physical hardware with digital feedback for continuous care.

Connecting physical hardware with digital feedback for continuous care.

The Athena ecosystem unites wearable hardware, real-time spatial visualization, and remote clinical oversight into a single seamless loop:

1.

Sensor Configuration

Wearable sensors are calibrated and attached to specific joints.

2.

Digital Twin Mapping

Real-time motion capture displays the athlete’s movement live on-screen.

3.

Automated Capture

As the athlete performs exercises, the mobile app logs movement automatically.

4.

Therapist Dashboard

Data syncs to a web portal where therapists review metrics, give feedback and assign new sessions.

The Problem

Complex hardware setup and ambiguous calibration led to high error rates and user frustration.

Complex hardware setup and ambiguous calibration led to high error rates and user frustration.

Setting up motion sensors for remote physiotherapy was historically complex, repetitive, and prone to severe user error. Athletes frequently struggled to identify which physical sensor belonged on which joint and whether calibration was successful. This resulted in corrupted motion data, skewed progress tracking, and constant reliance on live therapist intervention.

The Design Direction

How might we help athletes set up sensors accurately with minimal cognitive load, while giving therapists reliable, real-time data to guide recovery remotely?

How might we help athletes set up sensors accurately with minimal cognitive load, while giving therapists reliable, real-time data to guide recovery remotely?

Designing a low-friction setup process that builds user confidence and ensures data integrity.

The Solution: Core Features

The software and its components

The software and its components

SOLUTION 1

Smart Sensor Configuration

Light-assisted hardware pairing eliminates placement guesswork and speeds up session setup.

SOLUTION 2

Real-Time Visual Feedback & Digital Twin

Live 3D avatars give immediate spatial validation, reducing the need for live therapist supervision.

SOLUTION 3

Automated Data Capture & Progress Analytics

Comparative motion empowers athletes to track symmetry and self-correct over time.

Design System & Developer Handoff

A scalable component library accelerated cross-platform development and visual consistency.

A scalable component library accelerated cross-platform development and visual consistency.

To keep the UI consistent across complex states (such as bluetooth pairing, low battery, and live streaming errors), I built a component-driven design system from the ground up. This standardized typography, color-coded status states, and interaction patterns—dramatically reducing design debt and ensuring frictionless handoffs with engineering teams.

The 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

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.

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I am actively looking for job oppurtunities now.
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Vancouver

© 2026 Ishita Arora

Thanks for scrolling!
I am actively looking for job oppurtunities now.
If you're interested in working together or just saying hello please reach out !

Vancouver

© 2026 Ishita Arora

Thanks for scrolling!
I am actively looking for job oppurtunities now.
If you're interested in working together or just saying hello please reach out !

Vancouver

© 2026 Ishita Arora