TideWise

What if pain could be managed without demanding attention, and communicated without requiring explanation? TideWise is a necklace that tracks neck pain and corrects posture, translating bodily states into a visible tide—subtle in social settings, precise in clinical care.

Roles
Tools
Collaborators
Timeline

Project lead, UI/UX & industrial design
Fusion 360, Figma
Muntaser Syed, Alfred Sjöqvist, Noah Sedlik
2-day Hackathon

Problem

For office workers with chronic neck pain, the body becomes a constant negotiator. Pain remains invisible, yet it shapes how we participate in work and social presence. Existing wearables for chronic neck pain only correct posture and overlooks its social ramifications.

Solution

A wearable that tracks neck pain and corrects posture, but most importantly translates bodily states into varying tide in different scenarios.

Primary Research

Problem

For office workers with chronic neck pain, the body becomes a constant negotiator. Pain remains invisible, yet it shapes how we participate in work and social presence. Existing wearables for chronic neck pain only correct posture and overlooks its social ramifications.

User Flow

Putting on
Posture correction
Pain logging
Calibration

User Persona

Initial Prototype

01. Hardware design

02. User interaction design

Working under the constraints of an outward facing necklace, I designed an interaction system beyond visuals.

Bottom 2/3 screen area is mapped for user input

Haptic feedback echos pain level from user input

03. Outward facing display

Peaceful waves = low pain
Gushing waves = high pain
Peaceful waves = low pain
Gushing waves = high pain
01. Hardware design

02. User interaction design

Working under the constraints of an outward facing necklace, I designed an interaction system beyond visuals.

Bottom 2/3 screen area is mapped for user input

Haptic feedback echos pain level from user input

03. Outward facing display

Breathability

Open palm

Fingerless

Elasticity

Knitted

Adjustable straps

Durability

Placeholder

User Testing

Improved UI/UX

Emotion Detection & Motorized tail

Final Design

Key Results

User interactions
GoFundMe donations
Travel fund raised

Next Steps

Takeaway

Special thanks to

Kevin Aisin Gioro and Ahmad Abbasi for their patience and support on CAD; Philip Nisevich and Michael Shears for their kindness and generosity during the hackathon.