Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: HuGaDB: Human Gait Database for Activity Recognition from Wearable
  Inertial Sensor Networks   This paper presents a human gait data collection for analysis and activity
recognition consisting of continues recordings of combined activities, such as
walking, running, taking stairs up and down, sitting down, and so on; and the
data recorded are segmented and annotated. Data were collected from a body
sensor network consisting of six wearable inertial sensors (accelerometer and
gyroscope) located on the right and left thighs, shins, and feet. Additionally,
two electromyography sensors were used on the quadriceps (front thigh) to
measure muscle activity. This database can be used not only for activity
recognition but also for studying how activities are performed and how the
parts of the legs move relative to each other. Therefore, the data can be used
(a) to perform health-care-related studies, such as in walking rehabilitation
or Parkinson's disease recognition, (b) in virtual reality and gaming for
simulating humanoid motion, or (c) for humanoid robotics to model humanoid
walking. This dataset is the first of its kind which provides data about human
gait in great detail. The database is available free of charge
https://github.com/romanchereshnev/HuGaDB.

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The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-th
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The categories of this paper are: physics
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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: math
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: eess