The Fourth Nurse Care Activity Recognition Challenge was successfully held and the results were announced during International Conference on Activity and Behavior Computing (ABC2022), which was held in London, UK.


1st Place: Team Not a Fan of Local Minima

Title: Predicting User-specific Future Activities using LSTM-based Multi-label Classification
Authors: Mohammad Sabik Irbaz, Fardin Ahsan Sakib, and Lutfun Nahar Lota

2nd Place: Team Alpha

Title: Activity Recognition of Nursing Care Data
Authors: Gulustan Dogan, Jonathan Sturdivant, and John Hendricks

3rd Place/Excellent F1-score: Team Carelab

Title: A Classification Technique based on Exploratory Data Analysis for Activity Recognition
Authors: Riku Shinohara, Huakun Liu, Monica Perusquía-Hernández, Naoya Isoyama, Hideaki Uchiyama, and Kiyoshi Kiyokawa

Other Participating Teams

Team 2A B Core: Ensemble Classifier for Nurse Care Activity Prediction Based on Care Records
Authors: Björn Friedrich, and Andreas Hein

Team Data Drivers BD: Future Prediction for Nurse Care Activities Using Deep Learning based Multi-Label Classification
Authors: Wasim Akram, Md. Golam Rasul, Sayeda Fatema Tuj Zohura, Tanjila Alam Sathi, and Lutfun Nahar Lota

Team Hippocrates: Nurse Activity Recognition based on Temporal Frequency Features
Authors: Md. Sohanur Rahman, Hasib Ryan Rahman, Abrar Zarif, Yeasin Arafat Pritom, and Md Atiqur Rahman Ahad

Team Horizon: A Sequential-based Analytical Approach for Nurse Care Activity Forecasting
Authors: Md. Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman Ahad

Team The Innovators: Time Series Analysis of Care Records Data for Nurse Activity Recognition in the Wild
Authors: M Kabiruzzaman, Mohammad Shidujaman, Shadril Hassan Shifat, Pritom Debnath, and Shahera Hossain

Team Ulster: Addressing the inconsistent and missing time stamps in Nurse Care Activity Recognition Care Record Dataset
Authors: Ian Cleland, Rashid Kamal, Chris Nugent, and Paul McCullagh

We thank all participants for their active participation in this challenge!