Takeda K., Erdogan H., Hansen J., Abut H. (eds.) In-Vehicle Corpus and Signal Processing for Driver Behavior

Springer Scienceþ Business Media, LLC,. 2009. 252 p. — ISBN: 978-0-387-79581-2, e-ISBN: 978-0-387-79582-9.In-Vehicle Corpus and Signal Processing for Driver Behavior is comprised of expanded papers from the third biennial DSPinCARS held in Istanbul in June 2007. The goal is to bring together scholars working on the latest techniques, standards, and emerging deployment on this central field of living at the age of wireless communications, smart vehicles, and human-machine-assisted safer and comfortable driving. Topics covered in this book include: improved vehicle safety; safe driver assistance systems; smart vehicles; wireless LAN-based vehicular location information processing; EEG emotion recognition 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.Improved Vehicle Safety and How Technology Will Get Us There, Hopefully
Bruce Magladry and Deborah BruceNew Concepts on Safe Driver-Assistance Systems
Sadayuki TsugawaReal-World Data Collection with ‘‘UYANIK’’
Huseyin Abut, Hakan Erdogan, Aytul Ercil, Baran Curuklu, Hakkı Can Koman, Fatih Tas, Ali Ozgur Argunsah, Serhan Cosar, Batu Akan, Harun Karabalkan, Emrecan Cokelek, Rahmi Fıcıcı, Volkan Sezer, Serhan Danıs, Mehmet Karaca, Mehmet Abbak, Mustafa Gokhan Uzunbas, Kayhan Eritmen, Mumin Imamoglu, and Cagatay KarabatOn-Going Data Collection of Driving Behavior Signals
Chiyomi Miyajima, Takashi Kusakawa, Takanori Nishino, Norihide Kitaoka, Katsunobu Itou, and Kazuya TakedaUTDrive: The Smart Vehicle Project
Pongtep Angkititrakul, John H.L. Hansen, Sangjo Choi, Tyler Creek, Jeremy Hayes, Jeonghee Kim, Donggu Kwak, Levi T. Noecker, and Anhphuc PhanWireless Lan-Based Vehicular Location Information Processing
Seigo Ito and Nobuo KawaguchiPerceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications
Enrico Masala and Juan Carlos De MartinMachine Learning Systems for Detecting Driver Drowsiness
Esra Vural, Mujdat Cetin, Aytul Ercil, Gwen Littlewort, Marian Bartlett, and Javier MovellanExtraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution
Kenji Mase, Koji Imaeda, Nobuyuki Shiraki, and Akihiro WatanabeEEG Emotion Recognition System
Ma Li, Quek Chai, Teo Kaixiang, Abdul Wahab and Huseyin AbuThree-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection
Marco Moebus and Abdelhak ZoubirA New Method for Evaluating Mental Work Load In n-Back Tasks
Naoki Shibata and Goro ObinataEstimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings
Ulku Cagrı Akargun and Engin ErzinCross-Probability Model Based on Gmm for Feature Vector Normalization
Luis Buera, Antonio Miguel, Eduardo Lleida, Alfonso Ortega, and Oscar SazRobust Feature Combination for Speech Recognition Using Linear Microphone Array in a Car
Yasunari Obuchi and Nobuo HataokaPrediction of Driving Actions from Driving Signals
Toshihiko Itoh, Shinya Yamada, Kazumasa Yamamoto, and Kenji ArakiDesign of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment
Kihyeon Kim, Changwon Jeon, Junho Park, Seokyeong Jeong, David K. Han, and Hanseok KoEstimation of High-Variance Vehicular Noise
Bowon Lee and Mark Hasegawa-JohnsonFeature Compensation Employing Model Combination for Robust In-Vehicle Speech Recognition
Wooil Kim and John H. L. Hansen