Transfer Learning Improves Accelerometer-Based Child Activity Recognition via Subject-Independent Adult-Domain Adaption
IEEE Journal of Biomedical and Health Informatics(2022)
摘要
Wearable activity recognition can collate the type, intensity, and duration of each child’s physical activity profile, which is important for exploring underlying adolescent health mechanisms. Traditional machine-learning-based approaches require large labeled data sets; however, child activity data sets are typically small and insufficient. Thus, we proposed a transfer learning approach that adap...
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关键词
Pediatrics,Data models,Activity recognition,Principal component analysis,Adaptation models,Transfer learning,Kernel
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