A portable AI-driven training system—a wearable device and iOS app—that helps young professionals alleviate muscle pain by targeting muscle imbalance.
PROJECT
RESULT
MY ROLE
Post-pandemic remote work has intensified sedentary habits.
My chronic muscle pain, shared by many peers, highlighted the urgent need for a solution to address this growing issue.
Globally
Of young professionals sitting at desk for long time experience muscle pain
Deep Research for Muscle Pain in Young Professionals
Through a combination of surveys, interviews, contextual inquiry, and field studies, we conducted in-depth research to identify key pain points and user needs, shaping effective, targeted relief solutions by following the DER model (Discover, Explore, Resolve).
Discover
Quantified muscle pain prevalence and lifestyle links.
Explore
Uncovered root causes and limitations of current solutions.
Resolve
Derived insights guided actions for an improved user experience.
Cycle of Pain
Key Insight
1.
Muscle Balance is Essential for Pain Relief.
Prolonged sitting and poor posture lead to chronic muscle imbalances, causing discomfort and pain.
Restoring muscle balance is key for lasting pain relief, especially for young professionals with sedentary lifestyles.
2.
Real-Time Feedback is Essential for Safe and Effective Training
Without instant feedback, users risk improper execution, reducing exercise effectiveness and potentially causing injury.
Current solutions lack precise real-time monitor and guidance.
3.
High Barriers For Effective Muscle Rehabilitation
Current muscle rehab solutions are costly, complex, and time-consuming, limiting accessibility and sustainability.
Users need affordable, practical options to support daily use and enhance motivation.
Design Requirement
Design Question
Achieve Balance and Strength Anytime, Anywhere with AI-Powered Precision Stretching and Muscle Balance.
DEMO VIDEO
1 | Wearable Resistant Device
Adjustable resistance and real-time muscle monitoring.
2 | Mobile Application
Personalized workouts and real-time progress tracking
Real-Time, AI-Driven Workout Feedback System
The system integrates real-time data from wearable sensors with backend analytics and AI-driven insights, delivering immediate, personalized feedback through a mobile app to enhance workout effectiveness and safety.
1st Short-Term Usability Test: Enhancing Usability and Intuitiveness
Involving 16 participants from 4 countries with varying body sizes, this test evaluated both hardware and software usability through 6 structured tasks. Insights gained led to iterative improvements in material choices, sensor module placement, and user interface, optimizing ease of use and immediate functionality. These refinements were essential for building an intuitive, accessible product that delivers both short- and long-term benefits to users.
2nd Long-Term A/B Test: Validating Sustained Usability and Motivation
This long-term test assessed the product’s impact on user engagement and usability. Key updates, such as improved score placement, boosted motivation (from 45% to 74% engagement), while usability was evaluated using Likert scales and the SUS. Results confirmed enhanced user motivation and long-term usability.
Future Development and Strategic Partnerships
Positive user feedback and validation from UW Medicine have demonstrated our solution’s potential to accelerate young professionals' pain relief and increase user motivation. This has paved the way for exciting partnerships and ambitious future plans.
