Abstract
A spoken dialogue system for car-navigation systems may be able to provide more natural and smoother communications but it must also cause safety problems. 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 rhythm according to that situation would be safe as part of a car-navigation system. For this to be possible, the system needs to predict and recognize driver's actions from environmental information such as driving signals. In this chapter, we report the results of an experiment on predicting driver actions. The action prediction system uses HMM-based pattern recognition only on driving signals and does not use position information. Its best driving action prediction accuracy was 0.632.
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J. D. Lee, T. L. Brown, B. Caven, S. Haake, K. Schmidt, “Does a speech-based interface for an in-vehicle computer distract drivers?”, Proc. World Congress on Intelligent Transport System, 2000.
http://www-nrd.nhtsa.dot.gov/departments/nrd-13/DriverDistraction.html.
http://www-nrd.nhtsa.dot.gov/departments/nrd-13/driver-distraction/Welcome.htm.
A. Pentland, A. Liu, “Modeling and prediction of human behavior”, Neural Computation, vol. 11, pp. 229–242, 1999.
N. Oliver, A.P. Pentland, “Driver behavior recognition and prediction in a SmartCar”, Proc. SPIE Aerosense 2000, Enhanced and Synthetic Vision, 2000.
Y. Nishiwaki, K. Ozawa, T. Wakita, C. Miyajima, K. Itou, K. Takeda, “Driver identification based on spectral analysis of driving behavioral signals”, Proc. Biennial on DSP for In-Vehicle and Mobile Systems, 2005.
N. Kawaguchi, S. Matsubara, K. Takeda, F. Itakura, “Multimedia data collection of in-car speech communication”, Proc. EUROSPEECH 2001, pp. 2027–2030, 2001.
S. Young, D. Kershaw, J. Odell, D. Ollason, V. Valtchev, P. Woodland, “The HTK book -version2.2”, Entropic, 1999.
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Itoh, T., Yamada, S., Yamamoto, K., Araki, K. (2009). Prediction of Driving Actions from Driving Signals. In: Takeda, K., Erdogan, H., Hansen, J.H.L., Abut, H. (eds) In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-79582-9_16
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DOI: https://doi.org/10.1007/978-0-387-79582-9_16
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