標(biāo)題: Titlebook: In-Vehicle Corpus and Signal Processing for Driver Behavior; Kazuya Takeda,John H. L. Hansen,Hüseyin Abut Book 2009 Springer-Verlag US 200 [打印本頁] 作者: 代表 時間: 2025-3-21 18:23
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書目名稱In-Vehicle Corpus and Signal Processing for Driver Behavior讀者反饋
書目名稱In-Vehicle Corpus and Signal Processing for Driver Behavior讀者反饋學(xué)科排名
作者: 喧鬧 時間: 2025-3-21 22:10 作者: 倒轉(zhuǎn) 時間: 2025-3-22 01:19
Wireless Lan-Based Vehicular Location Information Processing, difference in signal strength distribution according to the location of wireless LAN antenna. By using these differences we can estimate vehicles’ orientation. Finally, we introduce our metropolitan-scale localization project named Locky.jp.作者: Defense 時間: 2025-3-22 05:37 作者: 防止 時間: 2025-3-22 11:01 作者: antidote 時間: 2025-3-22 13:07 作者: 同音 時間: 2025-3-22 17:04 作者: seroma 時間: 2025-3-22 21:53 作者: 范圍廣 時間: 2025-3-23 01:40 作者: 諷刺 時間: 2025-3-23 08:54
UTDrive: The Smart Vehicle Project,d). Here, we describe our in-vehicle data collection framework, data collection protocol, dialog and secondary task demands, data analysis, and preliminary experimental results. Finally, we discuss our proposed multi-layer data transcription procedure for in-vehicle data collection and future research directions.作者: Flagging 時間: 2025-3-23 11:15
Machine Learning Systems for Detecting Driver Drowsiness,collected through automatic eye tracking and an accelerometer. The system was able to predict sleep and crash episodes on a simulator with 98% accuracy across subjects. It is the highest prediction rate reported to date for detecting drowsiness. Moreover, the analysis revealed new information about human facial behavior for drowsy drivers.作者: 合乎習(xí)俗 時間: 2025-3-23 16:21 作者: 芳香一點 時間: 2025-3-23 20:06 作者: 助記 時間: 2025-3-24 00:22 作者: 強(qiáng)行引入 時間: 2025-3-24 03:18
n systems; and new methods for predicting driving actions using driving signals...In-Vehicle Corpus and Signal Processing for Driver Behavior. is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms..978-1-4419-4640-9978-0-387-79582-9作者: 不能妥協(xié) 時間: 2025-3-24 06:37 作者: EXTOL 時間: 2025-3-24 14:12 作者: SLING 時間: 2025-3-24 18:07 作者: Vasoconstrictor 時間: 2025-3-24 19:38 作者: Bridle 時間: 2025-3-25 02:15 作者: 比喻好 時間: 2025-3-25 07:04 作者: 不能根除 時間: 2025-3-25 10:24 作者: 大量 時間: 2025-3-25 14:42 作者: 低位的人或事 時間: 2025-3-25 18:11
Bowon Lee,Mark Hasegawa-Johnsone epoch of maximum of the 11-year solar cycle than during its minimum.. Moreover, the value of the ratio varies in a different way than the Wolf numbers W during the cycle (Kopecky and Rú?i?ková-Topolová, 1978) and from cycle to cycle (Mergentaler, 1959). All these made us doubt the stable correlati作者: 無脊椎 時間: 2025-3-25 22:39 作者: A簡潔的 時間: 2025-3-26 02:42 作者: 占卜者 時間: 2025-3-26 06:54 作者: Incisor 時間: 2025-3-26 12:05
Chiyomi Miyajima,Takashi Kusakawa,Takanori Nishino,Norihide Kitaoka,Katsunobu Itou,Kazuya Takeda作者: Evocative 時間: 2025-3-26 13:41 作者: 凝乳 時間: 2025-3-26 17:01
Esra Vural,Müjdat ?etin,Aytül Er?il,Gwen Littlewort,Marian Bartlett,Javier Movellan作者: 壁畫 時間: 2025-3-27 00:05 作者: 暗諷 時間: 2025-3-27 02:00
In-Vehicle Corpus and Signal Processing for Driver Behavior978-0-387-79582-9作者: Conducive 時間: 2025-3-27 06:32
Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications,eptually optimized packet scheduling algorithm developed for robust low-delay intervehicle video communication. The algorithm has been tested by transmitting video data captured by on-board cameras to another vehicle in proximity, using ad hoc 802.11 wireless technology and the H.264 video coding st作者: DEAWL 時間: 2025-3-27 09:47
Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution,t confirm that the accuracy and computation speed in general cases are improved in comparison to those of the original extractor. We also extend the object distribution map to reflect the shapes of pedestrians with various postures in real situations. Preliminary experimental results are given to sh作者: nitric-oxide 時間: 2025-3-27 15:51
A New Method for Evaluating Mental Work Load In ,-Back Tasks,red when the subject get distracted by paying attention to secondary tasks, and it is compared with the identified model output. This method makes it possible to assay the influence of mental work load on VOR. This study has investigated the influence of mental work load on human eye movement by giv作者: photopsia 時間: 2025-3-27 19:50
Cross-Probability Model Based on Gmm for Feature Vector Normalization,: 75.53 and 62.49% of mean improvement in word error rate, WER, for MEMLIN with SpeechDat Car and a reduced set of Aurora2 database, respectively (82.86 and 67.52% if time-independent cross-probability model is applied). Although the behaviour of the technique is satisfactory, using clean acoustic m作者: 相同 時間: 2025-3-27 22:58 作者: 無聊的人 時間: 2025-3-28 05:23
,Design of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment, dominant under adverse noisy environment of an automobile. Representative experimental results demonstrate that the audio-visual speech recognition system achieves promising performance in adverse noisy condition, making it suitable for embedded devices.作者: pericardium 時間: 2025-3-28 09:23 作者: BARGE 時間: 2025-3-28 14:23
Improved Vehicle Safety and How Technology Will Get Us There, Hopefully,e engineering community to give full consideration to the usability problems associated with in-vehicle systems designed to engage/communicate with drivers. Such interactions may contain information about the vehicle, the roadway, other vehicles, the route, or the weather, or they may be of personal作者: 畸形 時間: 2025-3-28 17:14 作者: 失誤 時間: 2025-3-28 20:49
,Real-World Data Collection with “UYANIK”,nger car instrumented with several sensors, CAN-Bus data logger, cameras, microphones, data acquisitions systems, computers, and support systems. Within the shared frameworks of Drive-Safe Consortium (Turkey) and the NEDO (Japan) International Collaborative Research on Driving Behavior Signal Proces作者: phlegm 時間: 2025-3-29 01:44
On-Going Data Collection of Driving Behavior Signals, the synchronous recording of multimedia data including speech, video, driving behavior, and physiological signals. Driver’s speech and videos are captured with multi-channel microphones and cameras. Gas and brake pedal pressures, steering angles, vehicle velocities, and following distances are meas作者: Indelible 時間: 2025-3-29 05:55 作者: Facilities 時間: 2025-3-29 10:19 作者: 預(yù)定 時間: 2025-3-29 14:09 作者: 染色體 時間: 2025-3-29 15:52
Machine Learning Systems for Detecting Driver Drowsiness,e pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to datamine actual human behavior during drowsiness episodes. Automatic classifiers for 30 facial actions from the facial action coding system were developed using machine作者: 法官 時間: 2025-3-29 19:49
Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution,s. The detection of pedestrians from cars is imperative for predicting their subsequent movements in safe driving assistance. However, the automatic extraction of pedestrian regions with various clothing styles and postures is difficult due to the complexities of textural/brightness patterns in clot作者: 依法逮捕 時間: 2025-3-30 01:30 作者: 吊胃口 時間: 2025-3-30 05:35
Three-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection,tion. We address the problem of obstacle detection in a scene using ultrasound imaging with a 2D array under the constraint of a fixed platform. Applications are in the area of autonomous navigation such as a parking car as well as pedestrian detection for pre-crash measures of crash avoidance. The 作者: certitude 時間: 2025-3-30 10:15
A New Method for Evaluating Mental Work Load In ,-Back Tasks,ver, there does not exist any quantitative method for evaluating mental work load in real time. This motivates the study of proposing a new method to evaluate the influence of mental work load caused by information processing demand. Our method focuses on involuntary eye movement of human, which is 作者: 銼屑 時間: 2025-3-30 15:45
Estimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings,rd the acoustic sounds in the form of vibrations from skin-attached sensors, they are more robust and highly correlated with the acoustic speech signal. We investigate the correlation of throat and acoustic microphone recordings. We propose a hidden Markov model (HMM)-based structure to build a mapp作者: Wallow 時間: 2025-3-30 20:27
Cross-Probability Model Based on Gmm for Feature Vector Normalization, earlier and it was proved to be effective to compensate environment mismatch. MEMLIN is an empirical feature vector normalization technique which models clean and noisy spaces with Gaussian mixture models, GMMs; and the probability of the clean model Gaussian, given the noisy model one and the nois作者: 伸展 時間: 2025-3-30 20:41 作者: bromide 時間: 2025-3-31 01:03
Prediction of Driving Actions from Driving Signals,lems. One of these problems is distraction whereby machine operation and voice conversations influence the driver. Even the use of a simple speech interface may affect the driving operation. We consider that a spoken dialogue system which can understand the driver‘s situation and change its dialogue作者: conceal 時間: 2025-3-31 07:32
,Design of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment,ition under adverse automobile noisy environment. In particular, we employ lip-reading as an added feature for enhanced speech recognition. Lip motion feature is extracted by active shape models and the corresponding hidden Markov models are constructed for lip-reading. For realizing efficient hidde作者: BOOM 時間: 2025-3-31 12:21 作者: Asseverate 時間: 2025-3-31 16:31 作者: 政府 時間: 2025-3-31 18:10
