← All work

Concept & Research

Remnants of Absence: Missing Origin

Interaction Design · Physical Instrument · Visualisation

🏆 Selected for Fotomuseum Winterthur from 9 projects

RoleInteraction Design, Physical Instrument, Visualisation
TimelineFeb – Mar 2026
TeamJennifer Lee, Ceren Seckin, Annabelle Conron
CommissionFotomuseum Winterthur & Kutxa Fundazioa
Exhibition reel: wearable instrument, spatial scan, installation

Concept

Making the invisible occupancy of space perceptible

Every space holds traces of the people who were once in it: residual heat, microscopic particles, shifts in humidity. Remnants of Absence is a wearable instrument and spatial installation that makes these environmental traces legible as presence.

The project explores the gap between detection and attribution: a space can register that someone was here, but it cannot know who. The installation holds that gap open, making occupancy perceptible while keeping identity irresolvable.

Remnants of Absence, installation overview

Core tension

The project holds open the gap between detection and attribution: a space can register that someone was here, but cannot know who. Occupancy becomes perceptible; identity remains irresolvable.

Remnants of Absence, detail

The Instrument

A two-part wearable scanning system

The instrument is worn by a performer moving through space. It has two components that work in tandem: a Scanner that captures spatial geometry, and a Sensor that reads environmental data.

Instrument render: headband scanner and conical sensor
The instrument: headband Scanner (left) and handheld conical Sensor (right)

The Scanner

A headband-mounted unit carrying an iPhone running Luma AI for photogrammetric scanning. As the performer moves through a space, the Scanner continuously captures spatial data that is later processed into a 3D Gaussian Splat, a volumetric reconstruction of the scanned environment.

The Sensor

A handheld conical form housing three environmental sensors: galvanic skin response (GSR), temperature and humidity, and PM2.5 particulate matter. A NeoPixel ring on the Sensor responds in real time, glowing red when all three channels simultaneously deviate from baseline, signalling the presence of environmental traces.

Sensing logic

The NeoPixel triggers only when all three channels deviate simultaneously, reducing false positives and ensuring that only compound environmental anomalies register as "presence." A single channel deviation (e.g. a draught changing humidity) is ignored. Convergent deviation across all three channels is read as a trace.

Visualisation

Gaussian Splat + GLSL displacement

The spatial scans are processed into Gaussian Splats, a rendering technique that represents scenes as clouds of positioned, coloured Gaussians rather than polygonal meshes. This gives the reconstructed spaces a characteristic softness that sits between photograph and memory.

Photogrammetry scan: raw spatial capture processed into Gaussian Splat
Gaussian splat scene 1
Gaussian splat scene 2

The Splats are then run through TouchDesigner with custom GLSL shaders that apply displacement based on the sensor data. Zones of detected environmental deviation appear as distortions in the spatial reconstruction, making invisible occupancy legible as visual disruption.

Installation

One large screen, three smaller ones

The installation presents the processed scans across four screens: one large central display showing the full spatial reconstruction, and three smaller screens showing detail views showing specific zones of the space where environmental traces were detected.

Full installation view
Installation at Fotomuseum Winterthur: four-screen spatial reconstruction
SACEBA: photogrammetry on LCD display
Installation detail
SACEBA installation: photogrammetry on LCD display

Result

Selected from 9 projects for Fotomuseum Winterthur; exhibited as a four-screen spatial installation where visitors experience processed Gaussian Splats distorted by real environmental sensor data captured during the scanning performance.

The space cannot know who was here. It can only register that someone was.


TeamJennifer Lee, Ceren Seckin, Annabelle Conron
CourseCamera Magica, SUPSI MAInD 2026
CommissionFotomuseum Winterthur & Kutxa Fundazioa
HardwareiPhone + Luma AI, Arduino, GSR sensor, DHT22 (temp/humidity), PM2.5 sensor, NeoPixel ring
SoftwareTouchDesigner, GLSL, Luma AI (Gaussian Splat)

Available from July 2026.

Looking for a product design internship. Small teams, complex problems.

JENNIFER LEE