Estimating Driver Personality Traits from On-Road Driving Data

no code implementations • 9 Feb 2023 • Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada

As a first step toward implementing such adaptive assistance systems, this research aims to develop a model to estimate drivers' psychological characteristics, such as cognitive function, psychological driving style, and workload sensitivity, from on-road driving behavioral data using machine learning and deep learning techniques.

Time Series Analysis

IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge

no code implementations • 19 Jul 2022 • Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada

The effectiveness of the proposed classification model is evaluated in experiments with two real datasets composed of signatures labeled by experts: a dataset that can be classified with if-then rules and a dataset with elements that do not match an if-then rule.

Intrusion Detection

Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users' Interest Level

no code implementations • LREC 2018 • Masahiro Araki, Sayaka Tomimasu, Mikio Nakano, Kazunori Komatani, Shogo Okada, Shinya Fujie, Hiroaki Sugiyama