Chihiro Suga

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This study presents the preliminary attempt to investigate the usage of driver physiology signals, including electrocardiography (ECG) and respiration wave signals, to predict driving maneuvers. While most studies on driving maneuver prediction uses direct measurements from vehicle or road scene, we believe the mental state changes from the driver when(More)
This paper describes the development toolkit for persuasive applications. We developed the programmable USB-driven gumball-dispenser tool, as the platform for environmental sensing and delivering physical feedback to the users. The application for NASA Sustainability Base, LEEDS platinum building was developed based on the toolkit, to motivate people to(More)
Drivers' inattention to obstacles on the road is a major cause of traffic accidents, and developing advanced driver assistance system (ADAS) to support the driver's visual search has been a challenge. This is partly due to the complexity of developing user interfaces that indicate the positional information of objects around the vehicle, such as pedestrians(More)
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