Results

The 6th Activity Recognition Challenge was conducted smoothly, and the results were officially disclosed at the International Conference on Activity and Behavior Computing (ABC2024) convened in Japan.

Victors

Team Seahawk [Champion]: Recognition of Nurse Activities in Endotracheal Suctioning Procedures: A Comparative Analysis Using LightGBM and Other Algorithm.

Team Members: Penglin Jiang (Sichuan University-Pittsburg Institute); Boyang Dai (Beijing Institute of Technology); Bochen Lyu (Nanjing University); Zeng Fan (Beijing Institute of Technology); Gulustan Dogan (University of North Carolina Wilmington)


Team Sequoia [Runner up]: Nurse Activity Recognition using ResNet-3 Model.

Team Members: Pengyang Lin (Beijing University of Posts and Telecommunications)*; Haoyang Li (Huazhong University of Science and Technology); Qiqi Xie (Beijing University of Posts and Telecommunications); Yangke Zhu (Shandong University); Shiyi Li (Minzu University of China); Gulustan Dogan (University of North Carolina Wilmington)


Other Participating Teams

Team NU_SIT: Hybrid Method Combining Learning Machine and Rule-Based Algorithm for Activity Recognition of Endotracheal Suctioning; and Attempt of Data Augmentation Using Generative AI.

Team Members: Motoki SAKAI (Nihon University)*; Masaki SHUZO (Shonan Institute of Technology)


Team bun-bo [Best paper]: Recognition of Endotracheal Suctioning Activities: A Feature Extraction and Ensemble Learning Approach based on Pose Estimation Data.

Team Members: Hoang Khang Phan (Ho Chi Minh city University of Technology - Vietnam National University); Tu Nhat Khang Nguyen (Ho Chi Minh city University of Technology - Vietnam National University); Truong Vi Bui (University of Infomation Technology); Khuong Cong Duy Nguyen (Ho Chi Minh city University of Technology); Tuan Phong Nguyen (Ho Chi Minh city University of Technology); Nhat Tan Le (Ho Chi Minh city University of Technology)


Team London Research Group: Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data.

Team Members: Md Ibrahim Mamun (University of East London)*; Shahera Hossain (University of Asia Pacific, Bangladesh); Md Baharul Islam (Florida Gulf Coast University); Md Atiqur Rahman Ahad (University of East London, UK)


Team BumbleBee: Enhancing nursing activity recognition during endotracheal suctioning through video-based pose estimation and machine learning.

Team Members: S. M. Hozaifa Hossain (University of Dhaka)*; Samiul Islam (University of Dhaka); Md Atiqur Rahman Ahad (University of East London, UK); Md. Zasim Uddin (Begum Rokeya University, Rangpur; Osaka University); Shahera Hossain (University of Asia Pacific, Bangladesh)


Team GEARS_AI: Machine Learning for Human Activity Recognition in Endotracheal Suctioning Procedures.

Team Members: Tian'ao Lan (Huazhong University of Science and Technology)*; Baiyu Huang (Peking University)*; Mingyuan Ji (University of California, Berkeley)*; Carson Moore (University of North Carolina Wilmington); Hilmi Demirhan (University of North Carolina Wilmington)


Team Army: Recognizing Nursing Activities in Endotracheal Suction: Utilizing Multiple Readouts Reservoir Computing and Large Language Models.

Team Members: Arie Rachmad Syulistyo (Kyushu Institute of Technology)*; Yuichiro Tanaka (Kyushu Institute of Technology); Hakaru Tamukoh (Kyushu Institute of Technology)


Team Bangla Electric: Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection.

Team Members: Mahera R Islam (University of Dhaka); Anik Mahmud Ferdous (University of Dhaka); Shahera Hossain (University of Asia Pacific, Bangladesh); Md Atiqur Rahman Ahad (University of East London, UK); Fady Alnajjar (United Arab Emirates University)*


Team Horizon: Towards Improved Nursing Activity Recognition: Exploring Deep Learning with Skeleton Data and Generative AI.

Team Members: Md. Mamun Sheikh (University of Dhaka)*; Md Atiqur Rahman Ahad (University of East London); Md. Zasim Uddin (Begum Rokeya University, Rangpur; Osaka University); Shahera Hossain (University of Asia Pacific, Bangladesh)