SleeveStat
Wearable compression sleeve to detect and count push-up repetitions in real-time.
SKILLS
Hardware Engineering, Firmware, Industrial Design
DURATION
Mar 2026 (1 week)
Inspiration
I've always been fascinated by how products like Whoop and Garmin can optimize human performance.
Wearable technology is highly effective in tracking endurance and workouts. However, I noticed inaccuracies with bodyweight movements, like pushups.
Ideation

Flex Sensors directly measured the angle of the elbow joint, allowing for a more reliable method of tracking repetition depth and accuracy.
Compression sleeve houses the sensor to keep perfect alignment with the elbow and to remain unnoticeable during exercise.

Digital Logic
Dynamic Calibration
A programmed sequence averaging 20 initial readings to establish a unique “neutral baseline” at the start of each session to calibrate to the user’s specific neutral form.
Detection
To count a pushup, the user crosses the bend threshold and the count increases once they return to their “neutral baseline” to ignore partial reps.
Hardware

4-digit 7-segment display to provide immediate visual feedback.
Many parts of the circuit were hand-sodered to make the breadboard a compact prototype.
Industrial Design


3D Modeling and Printing
Utilized Autodesk Fusion to engineer a custom, two-part enclosure to house the Arduino and display with PLA.

Learnings
This project challenged me to bridge the gap between digital logic and physical interaction. I learned to manage low-level sensor data, implement real-time calibration, and design durable enclosures for a high-intensity athletic movement.
If I were to evolve my prototype, I would implement multi-modal workout tracking and expand the code to include modes for different exercises.