Rachel Schuchert
Rachel Schuchert is a doctoral student at the Sensing, Interaction & Perception Lab (SIPLAB) at ETH Zürich, where her research is in affective computing.
She holds an M.Sc and B.Sc in Computer Science from ETH Zürich (major in Visual & Interactive Computing, minor in Machine Learning). She was a teaching assistant for the Human-Computer Interaction course at ETH for nearly three years and has supervised student-led design projects.
She brings a technically grounded perspective on HCI to the workshop, from sensing-based wearable systems to multimodal emotion classification with explanation.
Affiliation: Sensing, Interaction & Perception Lab, ETH Zürich.
Rachel's prior work.
These papers are notsubmissions to the Mental Models of AI workshop. The workshop hasn't happened yet. They are the body of work Rachel brings to the committee, verified against personal sites and Google Scholar.
A Wearable Device for Continuous Respiratory Monitoring in the Wild
Built a wearable respiratory monitor for free-living conditions, integrating an oxygen sensor, a differential-pressure sensor, and a barometric sensor. Used a Venturi tube and the Bernoulli principle to estimate airflow, breathing volume, VO₂, and respiratory rate; validated against a BIOPAC respiration belt across controlled tasks varying breathing pattern, movement, and speech.
