Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning.
Abdullah AhmedJayroop RameshSandipan GangulyRaafat AburukbaAssim SagahyroonFadi A. AloulPublished in: Inf. (2022)
Keyphrases
- machine learning
- wearable sensors
- emotional state
- health monitoring
- activity recognition
- text classification
- learning algorithm
- continuous monitoring
- computer vision
- decision trees
- text mining
- machine learning algorithms
- feature selection
- sensor data
- human activities
- lifelog
- action recognition
- real time
- artificial intelligence