By Topic

A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Yingzi Lin ; Dept. of Mech. & Ind. Eng., Northeastern Univ., Boston, MA, USA

Understanding of human cognitive and physical state is a basis for effective control or management of human-machine systems. The first step to achieve this is the development of sensors that are designed to be nonintrusive and measured in real-time. For the purposes of this paper, such sensors will be called biosensors. There are two existing paradigms for biosensors: wearable sensor and noncontact sensor. A wearable sensor had potential to be intrusive, and noncontact sensor methods may still be intrusiveness to a certain extent, while a noncontact sensor is limited in its capability of acquiring physiological signals. The overall objective of this paper is to propose a new paradigm called “natural-contact biosensor” upon a comprehensive evaluation of the existing paradigms. In this paper, the problem dimension for this new paradigm is defined, technical challenges are identified, and technologies to cope with these challenges are presented.

Published in:

Sensors Journal, IEEE  (Volume:11 ,  Issue: 3 )