Current Issue : January - March Volume : 2015 Issue Number : 1 Articles : 5 Articles
Drivers often use infotainment systems in motor vehicles, such as systems for navigation, music, and phones. However, operating\nvisual-manual interfaces for these systems can distract drivers. Speech interfaces may be less distracting. To help designing easyto-\nuse speech interfaces, this paper identifies key speech interfaces (e.g., CHAT, Linguatronic, SYNC, Siri, and Google Voice), their\nfeatures, and what was learned from evaluating them and other systems. Also included is information on key technical standards\n(e.g., ISO 9921, ITU P.800) and relevant design guidelines. This paper also describes relevant design and evaluation methods (e.g.,\nWizard of Oz) and howto make driving studies replicable (e.g., by referencing SAE J2944).Throughout the paper, there is discussion\nof linguistic terms (e.g., turn-taking) and principles (e.g., Grice�s Conversational Maxims) that provide a basis for describing userdevice\ninteractions and errors in evaluations....
The increasing number of traffic accidents is principally caused by fatigue. In fact, the fatigue presents a real danger on road since\nit reduces driver capacity to react and analyze information. In this paper we propose an efficient and nonintrusive system for\nmonitoring driver fatigue using yawning extraction. The proposed scheme uses face extraction based support vector machine\n(SVM) and a new approach for mouth detection, based on circular Hough transform (CHT), applied on mouth extracted\nregions. Our system does not require any training data at any step or special cameras. Some experimental results showing system\nperformance are reported. These experiments are applied over real video sequences acquired by low cost web camera and recorded\nin various lighting conditions....
Although various carrier aggregation deployment scenarios (CADSs) have been introduced in the LTE-Advanced system, issues\nrelated to insufficient eNB coverage that leads to low throughput and high drop call have yet to be solved. This paper proposes a\nnew deployment scenario called coordinated contiguous-CADS (CC-CADS), which utilizes two-component carriers (CCs) that\noperate on two frequencies located in a contiguous band. Each CC antenna is directed to a cell boundary of the other CC. The\nhandover performance of users with various mobility speeds under CC-CADS has been investigated and compared with various\ndeployment scenarios proposed by 3GPP. Simulation results show that the received signal reference power (RSRP) enhancement\nand performed handover, ping-pong, drop call, and outage probabilities reductions in CC-CADS outperformed the 3GPP�s CADSs,\nthus leading to reduced interruption time, improved spectral efficiency, and seamless handover....
The effects of bullet vehicle crash impact angle, child restraint system design, and restraint harness slack at side impact speed of\n32.2 km/h (20mph) on moments sustained at the neck by a three-year-old child are investigated. Mathematical models are built\nusing the response surface method based on simulation results whereby good fitness is achieved. The singular and cross interactive\neffect of each predictor on the neck moment are analyzed. The number of significant parameters affecting the neck moment is\nshown to be the largest for wide impact angles (???? ? 60? ) and the impact angle parameter is largely revealed to be the most sensitive.\nAn ideal safe range for low neck moment has been established to be within ???? angles 45? and 65?. It is further shown that the nature\nof all parameters effect on the neck moment is highly dependent on the impact angle range....
Security certification is drawing more and more attention in recent years; the biometric technology is used in a variety of different\nareas of security certification. In this paper, we propose a palm image recognition method to identify an individual for vehicular\napplication; it uses palm image as a key for detecting the car owner. We used mobile phone cameras to take palm images and\nperformed a new identification approach by using feature regularization of palm contour. After identification is confirmed, the\nphone uses Bluetooth/WiFi to connect the car to unlock it. In our evaluation, the experiments show that our approach is effective\nand feasible....
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