Third Nurse Care Activity Recognition Challenge

Submission Dates:
04/25/2021 to 06/15/2021
Citation Author(s):
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:
Wed, 06/30/2021 - 21:50
DOI:
10.21227/hj46-zs46
Data Format:
Links:
License:
Creative Commons Attribution

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.

Competition Dataset Files

AttachmentSize
File label_train.csv3.45 MB
File train.zip2.1 GB
File test.zip845.45 MB
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