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

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...

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Bibliographic Details
Published in:IEEE sensors journal 2011-03, Vol.11 (3), p.522-529
Main Author: Lin, Yingzi
Format: Article
Language:English
Subjects:
Biomedical monitoring
Biosensor
Biosensors
Contact
Control systems
Human
human-machine interaction
Humans
Intelligent sensors
Interference constraints
Man machine systems
Management
Mechanical sensors
natural-contact
nonintrusive
physiological signals
Real time
Sensor phenomena and characterization
Sensor systems
Sensors
Wearable
Wearable sensors
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Summary: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.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2010.2041773