Most of the research in multi-modal affect detection has been done in laboratory environment. Little work has been done for in situ affect detection.
We use facial expression and energy expenditure of a person to classify a person's affective state by continuously recording accelerometer data for energy and ...
Most of the research in multi-modal affect detection has been done in laboratory environment. Little work has been done for in situ affect detection.
ABSTRACT. Most of the research in multi-modal affect detection has been done in laboratory environment. Little work has been done for in situ.
Most of the research in multi-modal affect detection has been done in laboratory environment. Little work has been done for in situ affect detection.
Most of the research in multi-modal affect detection has been done in laboratory environment. Little work has been done for in situ affect detection.
This paper uses facial expression and energy expenditure of a person to classify a person's affective state by continuously capturing fine grained ...
This paper investigates affect detection in natural environment using sensors available in smart phones, and finds important relationship between valence ...
In this paper, we propose the use of multimodal affect detection to capture human attention for learning environment. For capturing affective state, we use ...
Computational Approaches for Monitoring of Health Parameters and Their Evaluation for Application in Clinical Setting. Mohammad Adibuzzaman. 2015.