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.
The data we are providing this time is a part of the dataset which was used in our previous work, titled “Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study”. The authors of this work proposed a theory that extending of start and end times of the activities can increase the prediction rate. The reason behind the theory is that many of the nurses provided the labels before or after completing an activity. In the paper, they verified and proved this theory. A part of this data set has also been used in last year's 3rd nurse care challenge. The summary paper is titled ”Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data?".
ScheduleThis Challenge will be held as part of the ABC Conference 2022
- Challenge opens: June 1, 2022
- Test data sent to participants: July 1, 2022
- Registration close: July 15, 2022
- Submission of results:
August 1, 2022August 7, 2022 (Extended!)Anywhere on Earth
- Submission of paper:
August 10, 2022August 15, 2022 (Extended!)Anywhere on Earth
- Review sent to participants: August 25, 2022
- Camera-ready paper:
August 28, 2022September 23, 2022 (Extended!)Anywhere on Earth
- Workshop: Oct. 27th - 29th, 2022