Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices.
Abhijith RagavNanda Harishankar KrishnaNaveen NarayananKevin ThellyVineeth VijayaraghavanPublished in: ICMLA (2019)
Keyphrases
- resource constrained
- deep learning
- affect detection
- embedded systems
- sensor networks
- resource constraints
- wireless sensor networks
- unsupervised learning
- open ended
- rfid tags
- machine learning
- physiological data
- mobile devices
- multipath
- lightweight
- mental models
- weakly supervised
- mental states
- text input
- training data
- object recognition
- model selection
- mobile phone
- semi supervised
- information extraction