Cough Detection Challenge
Help push the frontier in cough detection research by improving the performance in Machine Learning-based cough classification!
Exploration of Voice features for Digital Healthcare Applications
The goal of this project is to investigate voice features to enable patients and their physicians to follow the development of their condition and to raise an alert before the sickness becomes life-threatening.
Digital Healthcare Applications on Single-Board Computers
The goal of this project is to develop a single-board computer based passive monitoring system to enable patients and their physicians to follow the development of their chronic condition and to raise an alert before the sickness become life-threatening.
Deep Learning for Digital Healthcare Applications
The goal of this project is to develop a passive monitoring system to enable patients and their physicians to follow the development of their condition and to raise an alert before the sickness becomes life-threatening.
Data Science for Digital Health
Cough events associated with COPD can be used as an indicator to assess the gravity of the sickness. The in-house developed Android app can objectively detect changes in a patient’s health from home, which would make it possible to deploy interventions before the situation becomes life-threatening.
Emotion Recognition among Couples
At the Center for Digital Health Interventions at ETH Zurich, we seek to develop a smartwatch-based app to recognize the emotions of couples in daily life to be used for research on couples’ emotions in everyday life and enable the development of interventions to improve their emotional well-being.

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