Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research   We present a novel multi-modal bio-sensing platform capable of integrating
multiple data streams for use in real-time applications. The system is composed
of a central compute module and a companion headset. The compute node collects,
time-stamps and transmits the data while also providing an interface for a wide
range of sensors including electroencephalogram, photoplethysmogram,
electrocardiogram, and eye gaze among others. The companion headset contains
the gaze tracking cameras. By integrating many of the measurements systems into
an accessible package, we are able to explore previously unanswerable questions
ranging from open-environment interactions to emotional response studies.
Though some of the integrated sensors are designed from the ground-up to fit
into a compact form factor, we validate the accuracy of the sensors and find
that they perform similarly to, and in some cases better than, alternatives.

22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
16
The categories of this paper are: stat