No abstract

In this study, we propose to improve driving ability by biofeedback using an RGB camera by monitoring the mental situation of driver. Driving a car or other vehicle while distracted is extremely dangerous. For example, distracted driving may lead to an accident because of the delay in noticing pedestrians. We believe that it is important for drivers to understand and improve their own distractibility in order to prevent accidents. However, it is difficult to estimate whether a driver is distracted or not, and to improve the situation. Therefore, it is expected to build a method for drivers to understand and improve their own attentiveness.Distractibility is known to be related to sympathetic arousal. In this study, we obtained pulse waves from facial video images using an RGB camera and estimated sympathetic nervous system values from the pulse waves. Biofeedback is provided by optical signals in real time. Biofeedback is performed by presenting color using threshold values based on the estimated sympathetic nerve values. To validate the proposed method, we generated a distracted state by subjecting him to a task and compared the results with and without biofeedback. As a result, it is shown that the amount of time spent in the distracted state with biofeedback was reduced compared to that without biofeedback.

No abstract

No abstract

We propose a method of reproducing perceptual translucency in three-dimensional printing. In contrast to most conventional methods, which reproduce the physical properties of translucency, we focus on the perceptual aspects of translucency. Humans are known to rely on simple cues to perceive translucency, and we develop a method of reproducing these cues using the gradation of surface textures. Textures are designed to reproduce the intensity distribution of the shading and thus provide a cue for the perception of translucency. In creating textures, we adopt computer graphics to develop an image-based optimization method. We validate the effectiveness of the method through subjective evaluation experiments using three-dimensionally printed objects. The results of the validation suggest that the proposed method using texture may increase perceptual translucency under specific conditions. As a method for translucent 3D printing, our method has the limitation that it depends on the observation conditions; however, it provides knowledge to the field of perception that the human visual system can be cheated by only surface textures.