Toward Practical Implementation of an Emotion-Driven Digital Camera Using EEG

Abstract

Photography is closely tied to the emotions of individuals. Therefore, an emotion-driven camera can be a natural consequence of photography. In the field of electroencephalogram (EEG) emotion detection in research laboratories, there have been many works; however, such methodologies are considered to be difficult to apply in a real-world environment. One of the primary issues is the cue problem. In the real world, it is difficult to detect cues in a general application. Our proposed design enables the detection of cues for digital cameras. The proposed equipment has a viewfinder that has the capability of observing the eye using a proximity sensor, an image-processing module to detect a scene change, and an EEG headset. This system enables the reproduction of an environment similar to that of the research laboratory while still being a natural configuration for an ordinary digital camera.