scholarly journals Game Outlier Behavior Detection System Based on Dynamic Time Warp Algorithm

2022 ◽  
Vol 130 (3) ◽  
pp. 1-19
Author(s):  
Shinjin Kang ◽  
Soo Kyun Kim
Keyword(s):  
Detection System ◽  
Time Warp ◽  
Behavior Detection ◽  
Dynamic Time

Development of a Awaking Behavior Detection System Using a Neural Network

2008 ◽  
Vol 128 (11) ◽  
pp. 1649-1656 ◽  
Author(s):  
Hironobu Satoh ◽  
Fumiaki Takeda ◽  
Yuhki Shiraishi ◽  
Rie Ikeda
Keyword(s):  
Neural Network ◽  
Detection System ◽  
Behavior Detection

Dynamic Time Warp Based Template Analysis

2012 ◽  
Author(s):  
Deng Gaoming ◽  
Xie Di ◽  
He Wei ◽  
Deng Zhantao ◽  
Liu Wenlong
Keyword(s):  
Time Warp ◽  
Template Analysis ◽  
Dynamic Time

SafeDriving: An Effective Abnormal Driving Behavior Detection System based on EMG Signals

2021 ◽  
pp. 1-1
Author(s):  
Yuanzhao Fan ◽  
Fei Gu ◽  
Jin Wang ◽  
Jianping Wang ◽  
Kejie Lu ◽  
...  
Keyword(s):  
Detection System ◽  
Driving Behavior ◽  
Behavior Detection

Study on Driver's Unsafe Gaze Behavior Detection Technology

2013 ◽  
Vol 427-429 ◽  
pp. 1903-1906
Author(s):  
Peng Wang ◽  
Zhi Qiang Liu
Keyword(s):  
Detection System ◽  
Characteristic Curve ◽  
Abnormal Behavior ◽  
Gaze Behavior ◽  
Source Information ◽  
Eyelid Closure ◽  
Behavior Detection ◽  
Detection Technology ◽  
Level Information ◽  
Behavior Characteristics

A system for detecting and evaluating drivers gaze behavior was proposed. A system for recognizing the drivers unsafe gaze behavior was established using multi-level information and fusion decision method as well. The driving environment and condition is complex as well as the gaze behavior characteristics, and given that, a solution consists of patten classification and the multi-information decision-level fusion were put forward to estimate the different kind model of the driver's gaze behavior. In order to test the proposed strategies,the real time driver's gaze behavior detection system was established. The T characteristic curve proposed through the abnormal behavior parameters of the transverse width between the eyes and the vertical distance between mouth and the midpoint of two eyes, combined with the driver's eyelid closure and the proportion and location characteristics of iris - sclera were studied to get the characterization of the drivers gaze status information. The simulation results indicate that the adaptability and accuracy as well as the intelligent level is significantly improved by using the pattern classification and decision-making technology through multi-source information fusion.

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