The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
It is well recognized that micrometer and nanometer sized surface features enhance the skeletal attachment of implants within bone. However, little is known regarding the integration of implants placed outside the bone but in contact with the surface. Loosening of chronic skull anchored headposts in non-human primate based experiments can be a factor. The purpose of this study was to evaluate the...
In this paper, cognitive load analysis via acoustic-and CAN-Bus-based driver performance metrics is employed to assess two different commercial speech dialog systems (SDS) during in-vehicle use. Several metrics are proposed to measure increases in stress, distraction and cognitive load and we compare these measures with statistical analysis of the speech recognition component of each SDS. It is found...
This study proposes architecture for integrating intelligent control systems into vehicles, with special consideration to include the human-driver in the control loop. As a case study of the proposed architecture, drowsiness monitoring system is combined with an adaptive and robust lateral controller. Drowsiness is considered to be related to the uncertainty in steering wheel commands for the vehicle...
In this investigation, driver behavior signals are modeled using Hidden Markov Models (HMM) in two different and complementary approaches. The first approach considers isolated maneuver recognition with model concatenation to construct a generic route (bottom-to-top), whereas the second approach models the entire route as a dasiaphrasepsila and refines the HMM to discover maneuvers and parses the...
Hidden Markov models (HMM) are used to identify a vehicle's manoeuvre sequence and its appropriateness for a given urban road driving situation. One of the novel aspects of this work has been the development of an efficient signal modelling approach to form a context-aware, flexible system which proved to respond well in urban road scenarios, especially in situations where the driver is likely to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.