Nurse Care Activity Recognition Challenge
In an aging population, the demand for nurse workers increases to care for elders. Helping nurse workers make their work more efficient, will help increase elders quality of life, as the nurses can focus their efforts on care activities instead of other activities such as documentation.
Activity Recognition can be used for this goal. If we can recognize what activity a nurse is engaged in, we can partially automate documentation process to reduce time spent on this task, monitor care plan compliance to assure that all care activities have been done for each elder, among others.
The goal of the HASC Nurse Care Activity Recognition Challenge is to recognize nurse activities by means of body movement analysis. Although complex activities can benefit from other types of sensors such as object or environment sensors, in a nursing domain these can be difficult to install. For example, in nursing homes, extra care for not disturbing the residents' environment must be considered and the sudden installation of sensors can disturb them. Moreover, some nurses are working as visiting nurses, visiting each patient at their own homes where we have no control of sensors available or environment. For these reasons, the challenge aims at measuring the feasibility of recognizing nursing activities based on body movement.
This Challenge is part of the HASCA Workshop to held in conjunction with Ubicomp 2019 in London, UK. All participants are encouraged to submit a paper to the workshop, following the workshop template and rules (http://hasca2019.hasc.jp/)
Paper Submission Deadline: June 30, 2019
Questions: please submit your questions about this challenge to email@example.com
Participants should register via IEEE Data Port.
Challenge is open to students, graduate students, researchers, professors, and data scientists. Employees of Carecom ("Sponsor"), and members or Sozolab ("Organizers") are not eligible to enter or win.
Participants should submit their results in a .csv file with two columns: segment_id and activity_id and one line for each segment in the test data. The test data contains 116 segments.
Submissions will be judged by accuracy.
* Workshop Papers
All participants are encouraged to submit a paper to HASCA Workshop 2019 (http://hasca2019.hasc.jp/) detailing their proposal.
Only participants who submit a paper will be considered for the final ranking.
*One account per participant
You cannot sign up to IEEE DataPort from multiple accounts and therefore you cannot submit from multiple accounts.
The maximum size of a team is 10 participants.
You may submit up to 2 submissions for judging.
Start Date: 26/5/2019 5:00 PM UTC
End Date: 30/6/2019 11:59 PM UTC
Paper submission: 30/6/2019 AoE ( up to 5 pages )