Heraleto
Find playlists based on your Heart Rate
Mobile App • 2022
Role
UI Designer (and unofficial research detective)
Timeline
1 Week
Team
Rahul Phogat (Product designer) and me 😎
What This Project is About
Designed an AI-powered music suggestion app that syncs with heart rate data to keep rehab users calm, motivated, and moving. By seamlessly integrating wearable tech, it ensures every beat—both musical and biological—works in perfect harmony.
My Role in Project
I was tasked with making the app look as good as it sounds. But let’s be real—I couldn’t resist to learn out about this interesting project as a budding product designer so I kept myself loop in as much as possible, but did not get enough. As my senior was handling that particular segment.
Backstory
This is one of the project when I worked for a service based company (Plaxonic). To be honest the timeline situation in service companies those days are just like Lift guys in the Imperial Advertisement [Very Tight].
One day a client comes with an interesting idea, to develop an app for the world's first Heart Rate Monitoring Earphone/Earbuds for Rehab Patients, coupled with AI assistance to curate music preferences.
“ Sounds interesting right! ”
So we setup a call with the help of BDM (Diksha) to understand more about clients vision, thinking, wireless wearable headsets and what client had in his mind. After hours of discussion we got the gist and exited to take this forward…
Rehab patients? Check ✅
One week to pull it off? Challenge accepted ✅
Building Blocks
After engaging in several insightful meeting with the client, we get the clearer picture of his product vision. Considering those as a foundation we started our exploration. After stakeholder discussion, exploring the web, reviews, and blogs we find out people who are in rehab experience emotions like fear, joy, anger, excitement, guilt, worry, boredom, and loneliness more fast than regular persons. So we planned our userbase accordingly.
Primary
Cardiac Rehab Patients
Individual who daily feels different emotion like fear, joy, anger, excitement, guilt, worry, boredom, and loneliness easily.
Fitness Enthusiasts
Health-conscious individuals love to stay fit and healthy.
Casual music lovers
Individuals drawn in by recommendations, curious about wearable tech and its benefits.
Due to tight deadlines we do not have scope of primary research, and, secondary research was also limited.
After setting up all the pieces in place I began to explore the landscape, identifying key players who were already making waves in the music industry, and found some apps majorly used worldwide for streaming music.
TBH - “The song playlist suggestions algorithm and pattern of Spotify is 🔥”.
Eureka Moment
Our idea focuses on developing an application beyond the normal music players which can suggest music and tunes based on users heart rate and stress level - leveraging HeraLeto's PPG technology for RR Interval tracking and subsequently, calculating body's stress index, and delivering adjustable heart rhythm.
And based on the our research and finding I help my senior to club the categories of music and tones based on the their heart beat rate.
Chill zone (60-90 BPM): Smooth, calming tracks for rehab sessions.
Power mode (90-120 BPM): Groovy beats to keep you in the zone.
Beast mode (120+ BPM): High-energy anthems for crushing workouts.
Making setup process easier -
Helping user in simple and effective way.
Guiding user with an animated walkthrough how they pair up the device correctly.
Setting up functions -
Distinguish features and usage so they do not overlap.
Dividing the parts in chunks for reusability
Relaxation
Get perfect music every time based on your preference and heart rate.
Powerwalk
Get fit by quickly setting up your walking routine to stay fit.
Challange
Picture this: you’re designing for the heart rate-monitoring wearables. They don’t just track your pulse—they create a personalized playlist to match your mood and energy. Sounds cool, right? But here’s the kicker: how do you figure out which beats fit which BPM?
Our Sherlock and me (a unofficial detective), diving into the science of music and heart rates. We mapped out the perfect vibe for every scenario through the published research papers:
Conclusion
It was a fun learning project where I actually get to work on the secondary research and data in my early days. Learned so much during that. If i can be a part of the device research then I love to know more about the tech behind the devices,
YaaY! You made it.
Looks like you reach the end of this study but there is more to it.
Feel free to connect with me for more discussion.
Hmm! Want to know more?
This is just a quick go through about the project want o know more about the decision I made and How?
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