منابع مشابه
Looming Auditory Collision Warnings for Driving
OBJECTIVE A driving simulator was used to compare the effectiveness of increasing intensity (looming) auditory warning signals with other types of auditory warnings. BACKGROUND Auditory warnings have been shown to speed driver reaction time in rear-end collision situations; however, it is not clear which type of signal is the most effective. Although verbal and symbolic (e.g., a car horn) war...
متن کاملAn Architecture for Mining Resources Complementary to Audio-Visual Streams
In this paper we attempt to characterize resources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video detectors and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-graine...
متن کاملA Comparison of Tactile, Visual, and Auditory Warnings for Rear-End Collision Prevention in Simulated Driving
OBJECTIVE This study examined the effectiveness of rear-end collision warnings presented in different sensory modalities as a function of warning timing in a driving simulator. BACKGROUND The proliferation of in-vehicle information and entertainment systems threatens driver attention and may increase the risk of rear-end collisions. Collision warning systems have been shown to improve inatten...
متن کاملLooming Auditory and Vibrotactile Collision Warnings for Safe Driving
Looming auditory warning signals (that is, signals whose intensity increases over time) have proven to be particularly effective in terms of reducing a driver’s brake reaction times (BRTs) to impending collisions, and are also associated with very low false alarm rates. We report two experiments designed to further investigate how the presentation of looming auditory warnings with increasing fr...
متن کاملAudio-visual Person Veriication Audio-visual Person Veriication
In this paper we investigate bene ts of classi er combination fusion for a multimodal system for personal identity veri cation The system uses frontal face images and speech We show that a sophisticated fusion strategy enables the system to outperform its facial and vocal modules when taken seperately We show that both trained linear weighted schemes and fusion by Support Vector Machine classi ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Factors and Ergonomics Society Annual Meeting Proceedings
سال: 2009
ISSN: 1071-1813
DOI: 10.1518/107118109x12524444082394