Emerging Devices for Digital Biomarkers


Co-located with ACM MobiSys 2022
July 1, 2022. Portland, Oregon

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MobiSys 2022 Workshop on
Emerging Devices for Digital Biomarkers


Among its many definitions, digital health entails the collection of digital biomarkers that predict the incidence of diseases and health conditions. Digital biomarkers are often collected from sensors that capture one of three types of information: (i) physiological information like heart rate and stress level, (ii) contextual information like location and proximity, and (iii) behavioral information like motion and speech.

Digital health is often synonymous with devices like smartphones and wearables; however, sensors can be embedded in other technologies, each with their own opportunities. Headworn devices like smart glasses can monitor phenomena related to the eyes and nose. Virtual reality headsets can provide similar opportunities while allowing researchers to explore physiological responses to visual stimuli. Skin-worn sensors and smart clothing can be placed optimally on a person’s body to detect limb-specific phenomena. Brain-computer interfaces provide a new gateway into people’s cognitive and sensory-motor functions. Other emerging devices may include distributed sensors in the home (e.g., smart speakers, smart toilets), contact lenses, and other body modifications.

These technologies also come with unique challenges. The hardware must be designed in a way that is unobtrusive enough to be satisfactory for everyday wear. Providing a slim form factor limits the data storage, battery power, and computational capabilities available to these devices. Applications involving body sensor networks require architectures and protocols that are able to coordinate between multiple nodes in an effective manner. Finally, the unique positioning of these sensors and their susceptibility to phenomena during everyday living can make it more challenging to extract useful digital biomarkers.

The Workshop on Emerging Devices for Digital Biomarkers will offer a unified forum that brings together academics, industry researchers, and medical practitioners together to discuss cutting-edge innovation in digital health. The workshop aims to facilitate a systematic discussion among experts from domains such as mobile sensing, systems, hardware design, machine learning, and medicine. The specific aims of the workshop include: (i) to identify novel sensing opportunities with devices that are currently ubiquitous, most notably smartphones and smartwatches; (ii) to identify opportunities in digital health involving emerging devices that are not so commonplace, such as headsets and on-body sensors; and (iii) to identify challenges and solutions related to the passive collection of digital biomarkers in areas like privacy, visualization, and computational efficiency.

Call For Papers


The Workshop on Emerging Devices for Digital Biomarkers (DigiBiom), colocated with MobiSys 2022, offers a unified forum that brings together academics, industry researchers, and medical practitioners together to discuss cutting-edge innovation in digital health. The workshop aims to facilitate a systematic discussion among experts from domains such as mobile sensing, systems, hardware design, machine learning, and medicine. The specific aims of the workshop include: (i) to identify novel sensing opportunities with devices that are currently ubiquitous, most notably smartphones and smartwatches; (ii) to identify opportunities in digital health involving emerging devices that are not so commonplace, such as headsets and on-body sensors; and (iii) to identify challenges and solutions related to the passive collection of digital biomarkers in areas like privacy, visualization, and computational efficiency. Possible categories of emerging devices may include, but are not limited to:

  • Headsets (e.g., AR/VR headsets and smart glasses)
  • On-body sensors (e.g., smart clothing and skin-worn sensors)
  • Distributed sensors in the home (e.g., smart speakers, doorways, toilets)
  • Brain-computer interfaces
  • Implants

Topics of interest include, but are not limited to:

  • Novel hardware extensions of conventional devices like smartphones and wearables for health sensing

  • Unconventional hardware for health sensing

  • Unique biomarkers related to emerging devices

  • Novel signal processing or machine learning techniques for processing sensor data related to emerging devices

  • Comparative studies between conventional and emerging devices or multiple emerging devices

  • Energy and resource efficient implementations for generating biomarkers specific to emerging devices

  • Data privacy and security recommendations unique to emerging devices

  • Data visualization unique to emerging devices

Important Dates

  • Submission Deadline: Fri May 6th, 2022, AoE

  • Decisions Released: Wed May 18th, 2022, AoE

  • Camera-ready Papers Due: Sat May 28th, 2022, AoE

  • Workshop Date: Fri July 1, 2022

Registration

Registration info for MobiSys 2022 will be available soon.

Paper Format

All submissions must be original work not under review at any other workshop, conference, or journal.
The workshop will accept papers describing completed work as well as work-in-progress and position papers.
Submissions must be submitted as a PDF that is at most 6 pages (including references) in the double-column Mobisys format.

Invited Keynotes


Shyam Gollakota

Title TBD

Shyam Gollakota

Professor, Paul G. Allen School of
Computer Science & Engineering
University of Washington
Keynote | Bio

Mike Reddy

Microsoft Premonition: A New Paradigm for Scalable, Field-based Entomological Monitoring for the Prevention of the Next Mosquito-borne Disease Pandemic

Mike Reddy

Senior Scientist
Microsoft Premonition
Keynote | Bio

Technical Program Committee


Organizers


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Tauhidur Rahman

Assistant Professor
University of Massachusetts Amherst

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Alex Mariakakis

Assistant Professor, University of Toronto and Affiliate Scientist, Techna

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Edward Wang

Assistant Professor
University of California San Diego

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Manasa Kalanadhabhatta

Ph.D. Student
University of Massachusetts Amherst

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Colin Barry

Ph.D. Student
University of California San Diego

Past Workshops


Workshop on the Future of Digital Biomarkers @ MobiSys 2021

Contact


If you have any questions, please contact Tauhidur Rahman, Alex Mariakakis, Edward Wang, Manasa Kalanadhabhatta, or Colin Barry.