Exploration of Design Space and Runtime Optimization for Affective Computing in Machine Learning Empowered Ultra-Low Power SoC.
Yijie WeiKofi OtseiduJie GuPublished in: DAC (2020)
Keyphrases
- design space
- design space exploration
- affective computing
- response surface
- machine learning
- low power
- ultra low power
- design process
- design tools
- natural language processing
- human computer interaction
- low cost
- intelligent tutoring systems
- learning systems
- affect recognition
- high speed
- artificial intelligence
- feature selection
- power consumption
- computer vision
- information extraction
- case study
- physiological signals
- computer architecture
- pedagogical agents
- learning algorithm
- search space
- text classification
- active learning
- gesture recognition
- daily life
- learning technologies
- collaborative learning