Applying Deep Learning to Track Food Consumption and Human Activity for Non-intrusive Blood Glucose Monitoring.
Mohamed Amr SamirZeinab A. MohamedMona Abdelmotaleb A. HusseinAyman AtiaPublished in: UEMCON (2021)
Keyphrases
- deep learning
- human activities
- blood glucose
- diabetic patients
- activity recognition
- blood pressure
- diabetes mellitus
- human computer interaction
- unsupervised learning
- sensor data
- short term and long term
- machine learning
- action recognition
- mental models
- long term
- monitoring system
- computer vision
- sensor networks
- weakly supervised
- software engineering
- feature selection
- artificial intelligence