Implementing ensemble of deep learning model with optimization techniques for human activity recognition to assist individuals with disabilities. [PDF]
Alqahtani H.
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Dynamic graph neural networks for UAV-based group activity recognition in structured team sports. [PDF]
Zahra I +6 more
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Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data. [PDF]
Silva Zendron LA +4 more
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Towards User-Generalizable Wearable-Sensor-Based Human Activity Recognition: A Multi-Task Contrastive Learning Approach. [PDF]
Guo P, Nakayama M.
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Hierarchical query design and distributed attention in transformer for player group activity recognition in sports analysis. [PDF]
Chen X, Liu Z.
europepmc +1 more source
Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition. [PDF]
Waheed M, Xiong H, Tong K, Lau AYS.
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Related searches:
Sensor-Based Activity Recognition
IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 2012Research on sensor-based activity recognition has, recently, made significant progress and is attracting growing attention in a number of disciplines and application domains. However, there is a lack of high-level overview on this topic that can inform related communities of the research state of the art.
Liming Chen +2 more
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Activity recognition of the elderly
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems, 2010The development of context aware services is one proposed way to support independent living for the elderly. Performing test scenarios with the elderly helps when developing the context aware services. However, rigorous testing is not always desirable when working with elderly subjects. Our research proposes to capture the activity data of the subjects
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