Third Nurse Care Activity Recognition Challenge
- Submission Dates:
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to
- Citation Author(s):
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Sayeda Shamma Alia
(Kyushu Institute of Technology)
Kohei Adachi (Kyushu Institute of Technology)Nhat Tan Le
(Kyushu Institute of Technology)
Haru Kaneko
(Kyushu Institute of Technology)
Paula Lago
(Kyushu Institute of Technology)
Sozo Inoue (Kyushu Institute of Technology) - Submitted by:
- Sayeda Shamma Alia
- Last updated:
- DOI:
- 10.21227/hj46-zs46
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Abstract
Human Activity Recognition (HAR) is the process of handling information from sensors and/or video capture devices under certain circumstances to correctly determine human activities. Nowadays, several simple and automatic HAR methods based on sensors and Artificial Intelligence platforms can be easily implemented.
In this challenge, participants are required to determine the nurse care daily activities by utilizing the accelerometer data collected from the smartphone, which is the cheapest and easy-to-implement way in real life.
Instructions:
The challenge is open to students (undergraduate, graduate, doctoral), researchers, and practitioners.
To participate in the challenge, a team must register first indicating a team name, members, and representative. Registration closes June 1st, 2021.
Teams may have 1 to 10 members.
A person may not belong to two teams simultaneously (unless a supervisor).
Members of Sozolab (the organizer) are not eligible to participate in the challenge.
Only teams who submit their results and paper to HASCA Workshop may be eligible for the prize.
This document may be updated at any time without notice.
