Best student paper award for Lara Orlandic

Lara Orlandic received a


Best student paper award


at the 34th IEEE CBMS International Symposium on Computer-Based Medical Systems.

The paper is a study of how a person’s perception of the passage of time can be monitored and assessed, as a continuous evaluation of their mental health.

Co-authors on the paper were Prof. David Atienza and Dr. Adriana Arza Valdes.


Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health
Orlandic, Lara; Arza Valdes, Adriana; Atienza Alonso, David
2021-06-07 Conference Paper   Publication funded by SNF ML-edge (ML-edge: Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization) Publication funded by Hasler MyPreHealth (Predicting Episodic Disorders with Health Companions)

Research Project

Multimodal and personalised methods for health and wellness monitoring