Sensor Informatics and Quantified Self (Closed)

This special issue is now closed. See all Past Special Issues.

Download the Call-for-Papers (PDF) for this special issue.

Important Dates:

Deadline for Submission: extended to 30 December 2014
Submission Opens: 1 December 2014
First Reviews Due: 16 February 2015
Final Decision: 30 April 2015

Guest Editors:

Rosalind W. Picard, Sc. D.
Media Lab, MIT, USA
Gary Wolf
Director, QS Labs, USA
Rosalind W. Picard Gary Wolf

Managing Editor:


With the future of healthcare is shifting from reactive to preventive medicine, made possible by systems approach to disease through integrated diagnosis, treatment, and prevention, we are more focused on the quality of life and our individual wellbeing. The purpose of this special issue is to address key topics in sensor informatics and quantified self, which include, but are not limited to:

  • Novel sensor designs and smart embodiment with consideration of ergonomics, design aesthetics and seamless user interaction;
  • New platforms shown to be effective for self-tracking of physical activity, caloric intake, sleep quality, emotion, gait, posture and other factors related to personal well-being;
  • Sensor data analytics, fusion, pattern mining/recognition, behaviour profiling, data visualisation and user feedback related to quantified-self;
  • Inference through direct physiological data and surrogate signs for pervasive monitoring of personal wellbeing and behaviour;
  • Social and psychological aspects related to self-tracking practices and influence of individual and community health;
  • Impact of pooled population data on stratified patient management, individual drug responses, new therapies and targets for drug discovery;
  • Disease focused exemplars and case studies (e.g., management of diabetes, obesity, autism, sleep disorders, cardiovascular and neurodegenerative diseases);
  • Idiographic methods that provide personalized long-term analysis, while facilitating insights across participants and advancing scientific understanding of health and wellbeing;
  • Policies, security, privacy, quality control and validation of personal wellbeing data and influence on general healthcare management.

Priorities will be given to papers reporting original work supported by large cohort studies with clearly demonstrated clinical translational values supplemented by on-line data sets or algorithms that can be shared by the research community.

For more information, please refer to the Call-for-Papers (PDF).

This special issue is now closed. See all Past Special Issues.