Car HMi Award Winner 2017
Proud winner of the Car HMi award 2017 in the category ‘Most User-Friendly HMI Feature’ was eyeSight Technologies with their project ‘eyeSight Driver Monitoring’ – a solution that utilises deep learning and AI to monitor the driver’s attention on the road, detecting when the driver is distracted or shows signs of drowsiness. Using eyelid tracking, iris localization and head pose tracking, eyeSight analyses both eye openness and gaze vector in order to report the driver’s drowsiness and inattentiveness to enable precautionary alerts and avoid hazardous situations on the road.
Well-deserved winner in the category ‘Most innovative HMI feature’ was Felix Ros (Eindhoven University of Technology) with his project ‘Between you and your Autonomous Car, there’s Stewart’. Stewart is a tactile interface designed for a fully autonomous car. Its objective is to accommodate a healthy relationship between man and machine, which is achieved by an intuitive and expressive form of interaction.
Winner of the special jury award was SemVox GmbH with their project ‘ODP Workbench’, which is is a task-based, comprehensive, sophisticated, eclipse-based toolchain for the development and deployment of next-generation voice-based HMIs. With the ODP Workbench, developers have all the tools they need to build the most powerful, advanced and versatile voice-based interaction systems in less time and with better results than with any other existing platform, making full use of AI-technologies such as machine learning, reasoning, and profiling in one single application.