BB got your Beat: Visualising Heartbeats within a Biosensing

DOI: http://dx.doi.org/10.14236/ewic/eva2014.12
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[email protected]
This paper considers participant experience of the interactive artwork BB got your beat, which
uses a contact-free biosensing technology to covertly measure the heartbeat behaviour of passersby. The artwork reinterprets these intimate bodily rhythms using audiovisual feedback to support
critical insight into the potential applications for this technology. BB got your beat hints at the
surveillance potential of this biosensing technology using the dramatic device of cross hairs and a
visual treatment reminiscent of the thermographic visualisations employed in the military
surveillance of human bodies. It visualises changes in the pulse rate using as its screen a
magnified, high contrast, real time video of the subject’s face – a technique that engages the
subject in re-embodying their biodata. The paper discusses the artistic choices and aesthetic
theory that inform the visualisation used in the artwork. It considers the phenomenological
methodology that grounds this research before discussing the experiences of some of those who
encountered the work.
Visualisation. Art. Biosensing art. Interactive art. Affective computing. Embodiment.
Phenomenology. Participant experience. Biodata. Surveillance. Heartbeat. Aesthetic.
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1. INTRODUCTION
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2.1 The Installation
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Figure 1: The installation plan for ‘BB got your beat’. A
spotlight illuminates potential participants. The live feed
from a camouflaged video camera is sent to a concealed
laptop running software that analyses the video and
generates audiovisual feedback. The live video feed is
projected and altered according to changes in the heart
rate as detected by the analysis software. These
changes are also sonified and amplified
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Figure 2: ‘BB got your beat’ at PS gallery, Belfast. (a) The default state: before a face has been detected. (b) The active
state: an increasing heart rate shown by red and yellow hues. (c) The active state: a decreasing heart rate shown by blue
and green hues. (d) The end state: the participant’s face can no longer be detected and the image ‘shatters’ before
returning to the default state
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2.2 Heartbeat Visualisation
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5. REFERENCES
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CoDesign: International Journal of CoCreation in
Design and the Arts,,
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