Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Motion Sickness Modeling with Visual Vertical Estimation and Its
  Application to Autonomous Personal Mobility Vehicles   Passengers (drivers) of level 3-5 autonomous personal mobility vehicles
(APMV) and cars can perform non-driving tasks, such as reading books and
smartphones, while driving. It has been pointed out that such activities may
increase motion sickness. Many studies have been conducted to build
countermeasures, of which various computational motion sickness models have
been developed. Many of these are based on subjective vertical conflict (SVC)
theory, which describes vertical changes in direction sensed by human sensory
organs vs. those expected by the central nervous system. Such models are
expected to be applied to autonomous driving scenarios. However, no current
computational model can integrate visual vertical information with vestibular
sensations.
  We proposed a 6 DoF SVC-VV model which add a visually perceived vertical
block into a conventional six-degrees-of-freedom SVC model to predict VV
directions from image data simulating the visual input of a human. Hence, a
simple image-based VV estimation method is proposed.
  As the validation of the proposed model, this paper focuses on describing the
fact that the motion sickness increases as a passenger reads a book while using
an AMPV, assuming that visual vertical (VV) plays an important role. In the
static experiment, it is demonstrated that the estimated VV by the proposed
method accurately described the gravitational acceleration direction with a low
mean absolute deviation. In addition, the results of the driving experiment
using an APMV demonstrated that the proposed 6 DoF SVC-VV model could describe
that the increased motion sickness experienced when the VV and gravitational
acceleration directions were different.

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The categories of this paper are: acc-phys
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The categories of this paper are: q-bio
2
The categories of this paper are: math
16
The categories of this paper are: stat
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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: supr-con
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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an