Project Overview
Human cognition, decision and action processes while driving are
studied in terms of human behavioral signal processing. Having
international achievements in collecting a large in-car speech corpus,
the research team makes an endeavor on collecting in-car human
behavioral signals, across cultures and social systems. Theoretical
developments will be evaluated using those human related signals under
the real world. In order to promote the novel research area, research
fundamentals, i.e., corpora, evaluation frameworks and algorithm
standards, are also developed. Assisting and warning drivers and
creating a new industrial field by fusing motor-car and amusement
industries are one of the short term and long term goals of the
project.
Team Members
Kazuya Takeda
(Nagoya University, Nagoya, Japan), Coordinator
Huseyin Abut
(SDSU, San Diego, USA/Sabanc University, Istanbul, Turkey)
John Hansen
(University of Texas at Dallas, Richardson, USA)
Engin Erzin
(Koc University, Istanbul, Turkey)
Juan Carlos de Martin
(Politecnico di Torino, Torino, Italy)
Abdul Wahab
(Nanyang Technical University, Singapore)
Motoyuki Akamatsu
(National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan)
Supported by
NEDO International Joint Research Grant Program,
New Energy and Industrial Technology Development Organization,
Grant Group
