A variational autoencoder plus self-training pipeline is reported to detect agitation in dementia patients from wristband sensor data, reaching 90.18% balanced accuracy with XGBoost.
Semi-supervised learning for emotion recognition in dementia care: A review,
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Leveraging Self-Training and Variational Autoencoder for Agitation Detection in People with Dementia Using Wearable Sensors
A variational autoencoder plus self-training pipeline is reported to detect agitation in dementia patients from wristband sensor data, reaching 90.18% balanced accuracy with XGBoost.