SynDa: a novel synthetic data generation pipeline for activity recognition

Using Synthetic Data to Improve the Accuracy of Human Activity Recognition

M Liaquat, C Nugent, I Cleland - International Conference on Ubiquitous …, 2023 - Springer
Abstract Approaches to Human Activity Recognition are typically data driven, classifying
activities performed by humans based on low level sensor data from ambient and/or …
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School of Computing, Ulster University, Belfast, UK {majid-m2, cd. nugent, i. cleland}@ ulster. ac. uk

M Liaquat - Proceedings of the 15th International Conference on …, 2023 - books.google.com
Approaches to Human Activity Recognition are typically data driven, classifying activities
performed by humans based on low level sensor data from ambient and/or wearable …
相关文章