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6th ABC 2024: Oita, Kitakyushu, Japan
- International Conference on Activity and Behavior Computing, ABC 2024, Oita, Kitakyushu, Japan, May 29-31, 2024. IEEE 2024, ISBN 979-8-3503-7550-3
- Mahera Roksana Islam, Anik Mahmud Ferdous, Shahera Hossain, Md Atiqur Rahman Ahad, Fady Alnajjar:
Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection. 1-8 - Md Shamimul Islam, A. J. M. Akhtarujjaman Joha, Md. Nur Hossain, Sohaib Abdullah, Ibrahim Elwarfalli, Md Mahedi Hasan, Muhammad Imran Khan:
Multi-View Bangla Sign Language Recognition: A New Word-Level Video Dataset. 1-6 - Anda Ouyang, Siyuan Chen, Julien Epps:
Evaluation of Event-Based and Timing Features from Head Movement and Eye Activity for Wearable Task Transition Detection. 1-10 - Björn Friedrich, Lena Elgert, Daniel Eckhoff, Jürgen Martin Bauer, Andreas Hein:
Interpretable AI for Decision Support for Mobility Changes of Older Adults. 1-11 - Sherief Hashima, Hamada Rizk, Hirozumi Yamaguchi:
The Future of Beyond 5G Sensing: Transforming Activity Recognition with Reconfigurable Intelligent Surfaces. 1-10 - Matthias Tschöpe, Stefan Gerd Fritsch, David Habusch, Vítor Fortes Rey, Agnes Grünerbl, Paul Lukowicz:
Evaluating Deep Learning Models for Posture and Movement Recognition During the ABCDE Protocol in Nurse Education. 1-10 - Rahul Islam, Sang Won Bae:
PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild. 1-13 - Ian Cleland, Luke Nugent, Federico Cruciani, Chris D. Nugent
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Leveraging Large Language Models for Activity Recognition in Smart Environments. 1-8 - Sergio Staab, Vincent Abt, Henning Schmid, Johannes Luderschmidt, Mark Wetter, Ludger Martin:
Classification of Nursing Care Activities Using Smartwatches. 1-10 - Shruthi K. Hiremath, Thomas Plötz:
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes. 1-13 - Kensho Wakita, Kazutaka Shimada
An Utterance is Enough to the gaze? Gaze Detection from Utterance Information in Multiparty Discussion. 1-8 - Hoang Khang Phan, Tu Nhat Khang Nguyen, Truong Vi Bui, Khuong Cong Duy Nguyen, Tuan Phong Nguyen, Nhat-Tan Le
Recognition of Endotracheal Suctioning Activities: A Feature Extraction and Ensemble Learning Approach Based on Pose Estimation Data. 1-9 - Hymalai Bello, Sungho Suh, Bo Zhou, Paul Lukowicz:
BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation. 1-10 - Parham Zolfaghari, Vítor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, Paul Lukowicz:
Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. 1-8 - Tongze Zhang, Tammy Chung, Anind K. Dey, Sang Won Bae:
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults. 1-15 - Kyosuke Fukamachi, Rikiya Narita, Susumu Sato, Takashi Kawanami:
Proposal and Evaluation of a Personal Authentication Method Using Insole-Type Gait Sensors. 1-7 - Yu Wang
Advancing Human Activity Recognition Using Ultra-Wideband Channel Impulse Response Snapshots. 1-10 - Sayeda Shamma Alia
Daily Routine Recognition from Longitudinal, Real-Life Wearable Sensor Data for the Elderly. 1-9 - Harish Haresamudram, Irfan Essa, Thomas Plötz:
A Washing Machine is All You Need? On the Feasibility of Machine Data for Self-Supervised Human Activity Recognition. 1-10 - Shiyao Zhang
Examining the Effects of Human-Likeness of Avatars on Emotion Perception and Emotion Elicitation. 1-12 - Kai Tanaka, Mineichi Kudo, Keigo Kimura:
Fall Detection by Ambient Sensors on Years-Long Simulation Data. 1-8
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