Aspects of Fitness Tracking

Exercise Tracking

Any relevant research that focuses on measuring exercises beyond counting steps. It includes but is not limited to novel sensing technologies, the appropriate informatics and gamification techniques to improve motivation.

Automatic Diet Monitoring

Topics include but are not limited to novel sensing techniques to automatically monitor the user's diet, different methods for food logging, and tracking specific diet persistence.

Sleep Tracking

Topics include but are not limited to techniques for measuring sleep quality, the impact of environmental and routine factors on sleep, and intervention.

Call For Papers

Fitness tracking has become a growing culture all around the world. In the past decade, academic and industrial research has offered a plethora of solutions enabling users to track their exercise, diet, and sleep activities. They aim to help users achieve specific goals, but in practice these trackers operate independently from each other. This disconnect can lead to incomplete or contradicting feedback to the user. In this workshop we focus on three aspects of fitness:

  1. Physical exercise
  2. Diet
  3. Sleeping activity
We invite submissions for position papers that address fitness-tracking challenging questions, including but not limited to:
  1. Which activities should we sense, and how?
  2. What information is appropriate and useful to present?
  3. When is the right time for feedback and intervention?
  4. How to consolidate data from multiple sensing systems for dependent inferences? For example, it might be useful for a user to know that they are more likely to over eat if they sleep less than 5 hours the night before.
This workshop represents an opportunity for academics and practitioners to exchange knowledge and brainstorm ideas for novel solutions addressing the present fitness tracking challenges. We encourage submissions that highlight potential preliminary research and thought-provoking ideas. All submissions must be original work not previously published or under review at any other venue. The workshop will accept completed works, positions papers, and work-in-progress but the emphasis is on radical ideas of how we can further the field of fitness tracking. We also invite authors to submit Challenge papers that identify and discuss new challenges in the field.

Submissions should not exceed 6 pages (including references). Reviews will be single-blind: authors name and affiliation should be included in the submission. All submissions will be reviewed by at least two members of the workshop organizing committee. Papers will be accepted based on their quality, novelty, relevance to the workshop topic, and their potential to spark a fruitful discussion.

Important Dates

  1. Paper submission deadline: July 6, 2020
  2. Paper notification date: July 24, 2020
  3. Camera-ready deadline for workshop papers (ACM DL): July 31, 2020
All papers should be submitted to Precision Conference System (PCS).


Rushil Khurana

He is a PhD student at Carnegie Mellon University. His research interests include building novel unobtrusive sensing technologies driven by machine learning and computer vision. He also values how design impacts technological use and interactions.

Abdelkareem Bedri

He is a PhD student at Carnegie Mellon University. His research interests include activity recognition, novel sensing technologies, and mobile health. His current research focuses on developing wearable tracking solutions for fitness activities.

Patrick Carrington

He is an Assistant Professor at Carnegie Mellon University. His interests include exploring how technology can be used to understand human ability and support empowerment, independence, and improved quality of life. His research focuses on understanding user needs and designing technology systems that enhance and leverage the full potential of users with diverse abilities.

Daniel A. Epstein

He is an Assistant Professor in Informatics at the University of California, Irvine. He studies and designs personal informatics systems, understanding and addressing the challenges people face when using self-tracking technology in everyday life.

Rúben Gouveia

He is an Assistant Professor in Design, Production, and Management at University of Twente. His work examines and designs tools to support health and wellbeing, evaluating how these tools augment abilities to reflect and to identify opportunities for change.

Jochen Meyer

He is the director of R&D Health at OFFIS Institute for Information Technology. His research interests are particularly in the areas of technologies for prevention and well-being, ambient assisted living and personal media use.

Julian Ramos

He is a PhD student at Carnegie Mellon University. His interests include building systems and methods with the goal of understanding human behavior and improving people's well-being. He is currently focused on personalization of health interventions using machine learning, wearables and a smartphone.

Jason Wiese

He is an Assistant Professor at the University of Utah. His interests include developing approaches for interpreting personal data. He uses mixed approaches to understand challenges in dealing with unified data, and understand the perspectives of both users and application developers.

Paweł Woźniak

He is an Assistant Professor at Utrecht University. He is interested in mobile interactions, designing technology for sports and persuasive technology.

Get in touch

If you have any questions, concerns or feedback for us, get in touch!