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HCI research · Wearables · TEI 2022

Tactual Labs

Novel gesture input built around wrist sensing and everyday objects.

R&D internship · Prototyping · Research engineering

  • Wearables
  • Machine Learning
  • HCI

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TEI2022 publication
MLInteraction inference
R&DPrototyped end-to-end

Novel gesture input built around wrist sensing and everyday objects.

A research internship focused on a novel gesture input technique using a wristband sensor and everyday object interactions.

During an R&D internship at Tactual Labs in Toronto, Julius worked with senior researchers on a novel interaction technique based on minute skin-surface changes at the wrist. The goal was to infer rich hand-object interactions without augmenting the objects themselves.

The team designed and tested an end-to-end prototype that let users control virtual sliders and dials through familiar physical actions such as twisting a bottle cap or stretching a rubber band. Capacitive wrist sensing was paired with machine-learning models to interpret force, grasp, and continuous interaction states.

The work culminated in a TEI 2022 publication and demonstrated how everyday hand interactions can become expressive digital input, opening up new possibilities for ubiquitous interfaces and embodied computing.