Source Themes

In this paper, we propose a method that leverages deep learning algorithms and lower-resolution images from an activity-oriented camera to detect screen presence from multiple types of screens with high variability of pixel on target (e.g., near and far TV, smartphones, laptops, and tablets).

In this paper we assess the effect of hand-object-based obfuscation on recognizing fine-grained human activities.

In this paper we propose a framework OCEAN (Opportunistic Continuous Emotion Annotation) that collects emotion self-reports opportunistically.

In this paper we present ActiSight, a wearable RGB-Thermal video camera that uses thermal information to make wearer segmentation practical for body-worn video.

In this paper we compare the performance of two chest-worn heart rate monitors and one wrist worn heart rate monitor.