Listen to the muscle.
sEMG picks up electrical activity during a grip. A relaxed baseline and a strong squeeze give that signal context.
MyoWare 2.0 · ENV on A0Meet CLYF Sleeve
The intelligent sleeve.
See your effort. Find your rhythm.
Wearable concept · BigRed//Hacks 2026
01 / THE SLEEVECONCEPT DESIGN
Preparing your view…
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From an idea to a working prototype
See it.
Grip it.
Watch it respond.
A sleeve. Two sensors. One small experiment in making effort visible.
Watch the prototype in action—from a squeeze of the hand to the feedback on screen.
Battery level is a prototype estimate; recovery thresholds are not yet validated.
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Less guessing. More understanding.GRIP / REST / REPEAT
Between attempts
You can see
the next hold.
What about
your effort?
The route is right in front of you. What’s happening in your forearm is harder to see.
CLYF brings grip and rest into view. A simple way to explore your effort—and the pauses between it.
Small signals. A bigger picture.
Sense. Understand.
Find your rhythm.
Two sensor inputs. One clear view of your session.
Notice the contact.
A small force-sensitive resistor responds to pressure at its contact point. It adds a second input to the experiment.
FSR 400 · pressure on A1Bring it together.
Arduino UNO Q samples both channels at 100 Hz and sends them to the dashboard. The current controller sits outside the sleeve.
Arduino UNO Q · two channelsThe prototype, in its own words
Real muscle.
Real signal.
Three squeezes. Three releases.
This is what we recorded—not a generated waveform.
RECORDED / OCT 03, 2026
Selected second · EMG envelope
1.72V
Lower signal00 s / 18 s
19 one-second summaries from a 60-second capture. Line: mean. Band: min–max. Shaded intervals: mean above 2 V. Replay follows these recorded summaries.
View the exact values & recording notes
Original capture seconds 30–48, recorded on 3 October 2026. These are envelope voltage summaries, not raw EMG, grip force, or a fatigue measurement.
| Second | Mean | Min | Max |
|---|
A familiar way to read effort
What if your
forearm had
a battery?
Grip, and the model drains.
Let go, and it refills.
An experimental way to visualize effort and rest. The percentage and countdown are model estimates, not a measurement of your remaining strength.
FOREARM RESERVESIMULATED
100%
Ready for another try.
Hold the button. Release to rest.
Adjust the model
Inputs are relative to a calibrated grip range. Demo defaults: critical load 30%, capacity 800 %·s, recovery time constant 20 s; “ready” at 80%. Not fitted to an individual climber.
Interactive model · no live sensor connection
The wearable vision
Quiet on the outside.
Curious on the inside.
A simple textile exterior. A place for sensing underneath.
That’s the direction. The bench prototype is the beginning.
Built this weekend. Still exploring.
A real start.
A clear next step.
WORKING NOW
Sensor acquisition, a live dashboard, grip calibration, and recorded muscle signals.
DESIGN & MODEL
The integrated sleeve is a concept. The battery is an experimental model. Neither proves a recovery time.
UP NEXT
Refine the sensor placement, calibrate per climber, and test whether the feedback is useful between real attempts.