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● ARCHIVED WEARABLE HCI BENETTON R&D PROJECT

Retro Walk

A smart footwear prototype for reading pressure imbalance, supporting gait correction, and rethinking assistive technology as something people would still want to wear.

FOCUS

Ageing Mobility · Fall Prevention · Assistive Wearables

METHODS

Semi-structured Interviews · Ethnography · Sketching · CAD · Arduino Prototyping · User Feedback

PROTOTYPE

Load-sensing insole · Arduino circuit · BLE direction · App screens · Footwear body
SMART INSOLE GAIT FEEDBACK ELDERLY CARE WEARABLE INTERACTION ASSISTIVE TECH

Can an everyday shoe notice pressure shifts before they become a fall?

Retro Walk began as a footwear project, but I treated the shoe less as a product and more as a sensing surface.

The question was simple: if imbalance starts as small changes in posture, pressure, and walking confidence, can a wearable catch those changes early enough to support correction?

Not a medical device. A research prototype for noticing the body before the body fails.

The problem

The research direction

I focused on ageing mobility across elders and active adults, with caregivers, occupational therapists, and family members as secondary stakeholders.

01

Ageing body

02

Postural shift

03

Pressure imbalance

04

Corrective feedback

05

Safer walking practice

The project was also personal. I had seen elderly people around me struggle with standing for long periods, body ache, reduced mobility, and the difficulty of finding products that felt useful without looking like medical equipment.

What I built

The working prototype explored how pressure could be sensed through the insole, then translated into a readable feedback loop.

BUILT

Load-sensing insole

An insole direction with embedded load-sensing points to capture pressure shifts during standing and walking.

BUILT

Arduino circuit

A low-fidelity circuit prototype to test whether pressure readings could be captured from the footwear base.

PROPOSED

BLE + app layer

A mobile interface that receives walking data, shows pressure patterns, and gives corrective guidance.

FUTURE

ML comparison model

A later layer that compares user pressure distribution with healthier medial-lateral loading patterns.

The prototype collected a direction. The intelligence layer was the next stage.

System logic

The intended interaction was short and repeatable: walk, read, correct, repeat.

The interface idea

I did not want the app to scare the user with diagnosis. The interface had to behave more like a coach than a warning label.

READ

Pressure map

NOTICE

Medial-lateral shift

GUIDE

Audio + haptic cue

PRACTISE

Tutorial movement

TRACK

Progress chart

The technical frame

The project sits in the same technical family as smart insoles used for gait and plantar-pressure monitoring.

What I learned

Limits

Retro Walk was a concept prototype built with the R&D team at Benetton India. It was not clinically validated, and the user feedback was on the idea and direction, not on long-term use of the working product.

The ML model and fuller app screens are the next stage: longer walking trials, a larger pressure dataset, therapist input, and a more careful comparison model.

The value of the project was not that the shoe solved fall prevention. It showed how a familiar object could become an early conversation with the body.

Where it points

Retro Walk points toward assistive footwear that does not announce itself as assistive. A shoe that can support gait awareness, home-based mobility practice, and early pressure-pattern screening without turning the user into a patient first.

Further reading

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