Liliana Barrios
Ph.D. student
Ph.D. student
Department of Computer Science
Sensing, Interaction & Perception Lab
firstname.lastname [at] inf.ethz.ch
I am a Research Assistant and Ph.D. student in the Distributed Systems Group and in the Sensing, Interaction & Perception Lab at ETH Zurich under Prof. Friedemann Mattern's and Prof. Christian Holz's supervision. I started my Ph.D. in May 2017, after completing my M.Sc degree in Informatics from UZH in 2016. Before that, I received my Dipl.-Ing. in Computer Science from Simón Bolívar University, Venezuela, in 2012.
My research topic has a focus on health and informatics. In particular, in developing mobile-based outcomes parameters that allow remote monitoring of fatigue in Multiple Sclerosis (MS) patients. By leveraging smartphones and wearable devices, we can help clinicians understand complex conditions like MS, which has been hampered by the limited standard clinical environment that traditionally offers short-term or even single time-point measurements over prolonged periods (e.g., once per year). Smartphones and multi-sensor wearable devices could overcome these limitations by allowing unobtrusive, continuous monitoring over a long-term period.
Students
Interested students in conducting bachelor/master thesis or a lab project in one of the following described projects can either send me an email or just drop by my office for a coffee to discuss further details.
I am always looking for motivated and interested students who are ambitious about participating in ongoing research work.
Note to Interested International Students:
Although we highly encourage international students to pursue theses or research projects within our group, we do not provide financial aid in this manner.
We encourage you, though, to have a look at the exchange programs at ETH Zurich for scholarships. Please contact us well in advance to facilitate your applications.
Assigned projects
| Type | Title | Student | Supervisor | Semester |
|---|---|---|---|---|
| B | Optimisation of a mobile cognitive fatigability measurement | Fabian Mächler | Liliana Barrios | FS 21 |
Completed projects
| Type | Title | Student | Supervisor | Semester |
|---|---|---|---|---|
| L | Smartphone-based cognitive fatigability measurement | Wenjie Wang, Tianyi Xiao | Liliana Barrios | FS 20 |
| P | Smartphone-based cognitive fatigability measurement | Marina Draskovic | Liliana Barrios | FS 19 |
| M | Fatigue assessment through mobile technologies | Pietro Oldrati | Liliana Barrios | FS 19 |
| B | Visualisation of wearable and smartphone sensor data | Lena Csomor | Liliana Barrios | FS 19 |
| B | Mobile application for fatigue assessment | Artur Gigon | Liliana Barrios | FS 19 |
| L | Enabling fatigue assessment through mobile technologies | Pietro Oldrati | Liliana Barrios | FS 18 |
| B | Development of smartphone-based fatigability measurements for multiple sclerosis patients | Sinan Demirci | Liliana Barrios | FS 18 |
| B | Multiple finger identification and strength recognition with Myo EMG | Pietro Oldrati | Liliana Barrios, Vincent Becker | HS 17 |
Publications
- Liliana Barrios, Pietro Oldrati, David Lindlbauer, Marc Hilty, Helen Hayward-Koennecke, Christian Holz, Andreas Lutterotti
A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability.
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI 2020, ISBN 978-1-4503-6708-0/20/04, Honolulu, HI, USA, April 2020doi: 10.1145/3313831.3376588
BibTeX, Paper (.pdf)
- Sarah Faltaous, Gabriel Haas, Liliana Barrios, Andreas Seiderer, Sebastian Felix Rauh, Han Joo Chae, Stefan Schneegass, Florian Alt
BrainShare: A Glimpse of Social Interaction for Locked-in Syndrome Patients.
CHI '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. CHI 2019, Glasgow, UK, May 2019
Abstract, BibTeX, Paper (.pdf)
- Liliana Barrios, Pietro Oldrati, Silvia Santini, Andreas Lutterotti
Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis.
13th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2019, Trento, Italy, May 2019doi: 10.1145/3329189.3329215
Abstract, BibTeX, Paper (.pdf)
Dataset: https://www.research-collection.ethz.ch/handle/20.500.11850/374755
- Vincent Becker, Pietro Oldrati, Liliana Barrios, Gábor Sörös
TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography Armband.
Proceedings of the 2018 International Symposium on Wearable Computers. ISWC '18, ACM, ISBN 978-1-4503-4835-5, Singapore, October 2018doi: 10.1145/3267242.3267250
Abstract, BibTeX, Paper (.pdf)
For the code, go to https://github.com/vincentbecker/TouchSense
- Liliana Barrios, Pietro Oldrati, Silvia Santini, Andreas Lutterotti
Recognizing Digital Biomarkers for Fatigue Assessment in Patients with Multiple Sclerosis.
12th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2018, New York, United States, May 2018doi: 10.4108/eai.20-4-2018.2276340
Abstract, BibTeX, Paper (.pdf)
- Vincent Becker, Pietro Oldrati, Liliana Barrios, Gábor Sörös
TouchSense: Classifying and Measuring the Force of Finger Touches with an Electromyography Armband.
Proceedings of the 9th Augmented Human International Conference. AH '18, ISBN 978-1-4503-5415-8, pp. 34:1–34:3, 2018doi: 10.1145/3174910.3174947
Abstract, BibTeX, Paper (.pdf)
- Liliana Barrios, Wilhelm Kleiminger
The Comfstat – Automatically sensing thermal comfort for smart thermostats.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom 2017). Kong, Big Island, Hawaii, USA, March 2017
doi: 10.1109/PERCOM.2017.7917872
Abstract, BibTeX, Paper (.pdf)