EPFL/IC/SCI/PFP
Expert in human computer interaction, artificial intelligence, and classical and behavioral decision theories
Pearl Pu Faltings
EPFL
Tera-Health
Holistic thermal-aware design for energy-minimal datacenters

EPFL/IC/PARSA
Expert in energy-efficient and environmentally-friendly cloud technologies and parallel systems
Babak Falsafi
EPFL
HUG/Radiology and medical informatics
Expert in health data
Antoine Geissbühler
HUG
ETHZ/D-MTEC/IM
Expert in RFID applications
Florian Michahelles
ETHZ

Project Description

In the 19th and 20th centuries, innovations in measurement instruments were the driving force that turned medicine from art to science. When doctors were able to characterize disorders in precise terms of physiological statistics such as body temperature, heart rate, and blood pressure, and compare them among patients, they were able to prescribe effective treatments. Today, the development of wearable sensor and data mining technologies seems to lead towards a similar path, this time enabling a scientific understanding of wellness. As vital signs are pervasively measured by wearable sensor and mobile applications in every-day environments, a new wave of advances in medicine is taking place, causing a paradigm shift from treating sickness to supporting well-being. 

[read on]

Notable publications

Predictors of Life Satisfaction based on Daily Activities from Mobile Sensor Data
O. Yuruten, J. Zhang and Pearl Pu
SIGCHI Conference on Human Factors in Computing Systems (CHI 14), Toronto, Canada, April 26 May 1

Learning Social Affordances and Using Them for Planning
Kadir Firat Uyanik, Yigit Caliskan, Asil Kaan Bozcuoglu, Onur Yuruten, Sinan Kalkan, Erol Sahin
Proceedings of the 35th Annual Conference of the Cognitive Science Society, August 3, 2013

Posters from 2015


Decomposing Activities of Daily Living to Discover Routine Clusters
Onur Yürüten, Pearl Pu

Predictors of Life Satisfaction Based on Daily Activities from Mobile Sensor Data
Onur Yürüten, Jiyong Zhang and Pearl Pu

A Longitudinal Study of Pervasive Fitness Applications for Obese and Diabetic Patients
Mirana Michelle Randriambelonoro, Yu Chen, Antoine Geissbuhler, Pearl Pu Faltings

Posters from 2014


Predictors of Life Satisfaction Based on Daily Activities from Mobile Sensor Data
Onur Yürüten, Jiyong Zhang, and Pearl Pu

Decomposing Activities of Daily Living to Discover Routine Clusters
Pu Faltings, Pearl