User-Centric Interiors
Research on the interactive design of electric vehicle interior based on voice sensing and visual imagery
This research article, published in the International Journal of Vehicle Information and Communication Systems, explores advanced methods for enhancing human-computer interaction in electric vehicles.
Audience:
Academic Researchers, Automotive Engineers, Automotive Manufacturers, Automotive UI Designers, Consumer Behaviour Specialists, Design Students, Electric Vehicle Drivers, Electric Vehicle Market Researchers, Human-Computer Interaction Researchers, Human-Machine Interface Engineers, In-vehicle Technology Developers, Market Analysts, Transportation Sector Analysts, User Experience Designers
Academic Researchers, Automotive Engineers, Automotive Manufacturers, Automotive UI Designers, Consumer Behaviour Specialists, Design Students, Electric Vehicle Drivers, Electric Vehicle Market Researchers, Human-Computer Interaction Researchers, Human-Machine Interface Engineers, In-vehicle Technology Developers, Market Analysts, Transportation Sector Analysts, User Experience Designers
Keyword:
Dynamic Time Warping, Multi-window Spectral Subtraction, Space Segmentation, Speech Recognition, Visual Imagery
Dynamic Time Warping, Multi-window Spectral Subtraction, Space Segmentation, Speech Recognition, Visual Imagery