Publication Type

Journal Article

Version

acceptedVersion

Publication Date

8-2022

Abstract

Monitoring human behavior and health status using mobile devices, a.k.a. Mobile Health, has gained increasing attention from both academia and industry in recent years. It allows imperceptible health tracking from the users and remote health management from the healthcare service providers. Headworn devices, such as earbuds, glasses, and BCIs (Brain Computer Interfaces), exhibit great potential for mobile health due to their advantageous wearing position, the human head, which is motion-resilient and full of human bio-signals. Although initial attempts have been conducted for different healthcare applications with head-worn devices, this fast-growing area is still under-explored and retains great promises. With this work, we investigate the most pressing challenges to fully exploit the potential of head-worn devices for mobile health, from the perspective of sensing, computing, and system design. Our exploration reveals key guidelines and lessons to inform future efforts in this space

Discipline

Artificial Intelligence and Robotics | Health Information Technology

Research Areas

Intelligent Systems and Optimization

Publication

IEEE Pervasive Computing

First Page

1

Last Page

9

ISSN

1536-1268

Identifier

10.1109/MPRV.2022.3191711

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/MPRV.2022.3191711

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