Authors:
José Guerreiro
1
;
Raúl Martins
2
;
Hugo Silva
2
;
André Lourenço
2
and
Ana Fred
2
Affiliations:
1
Instituto Superior Técnico and Instituto Superior de Engenharia de Lisboa, Portugal
;
2
Instituto Superior Técnico, Portugal
Keyword(s):
Biomedical Instrumentation, Biosignal Acquisition, Electrocardiography, Electromiography, Electrodermal Activity, Accelerometry, Light Sensing.
Related
Ontology
Subjects/Areas/Topics:
Biological Inspired Sensors
;
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Modeling
Abstract:
By definition, physical computing deals with the study and development of interactive systems that sense and react to the analog world. In an analogous way, physiological computing can be defined as the field, within physical computing, that deals with the study and development of systems that sense and react to the human body. While physical computing has seen significant advancements leveraged by the popular Arduino platform, no such equivalent can yet be found for physiological computing. In this paper we present a novel, low-cost and versatile platform, targeted at multimodal biosignal acquisition and that can be used to support classroom activities, interface with other devices, or perform rapid prototyping of end-user applications in the field of physiological computing. We build on previous work developed by our group, by presenting an improved version of the BITalino platform, emphasizing on the hardware characterization, benchmarking and design principles.