Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors.
Nooshin BahadorDenzil FerreiraSatu TamminenJukka KortelainenPublished in: JMIR mHealth and uHealth (2021)
To conclude, the proposed fusion technique provides the possibility of embedding joint variability information over different modalities in just a single 2D representation which results in obtaining a more global view of different aspects of daily human activities at hand, and yet preserving the desired performance level in activity recognition.
Keyphrases
- deep learning
- endothelial cells
- electronic health record
- induced pluripotent stem cells
- physical activity
- pluripotent stem cells
- heart rate
- loop mediated isothermal amplification
- pain management
- big data
- machine learning
- health information
- convolutional neural network
- real time pcr
- label free
- healthcare
- blood pressure
- data analysis
- social media