TA3 Biomedical systems and Applications
Time : 09:10~10:40
Room : Ruby
Chair : Dr.Pikulkaew Tangtisanon (King Mongkut's Institute of Technology, Thailand)
09:10~09:25        TA3-1
Unorthodox Approach to Classify EEG Signals for Upper Limb Prosthesis Application

Nasir Rashid, Fahad Mahmood, Javaid Iqbal(National University of Sciences and Technology, Pakistan)

Brain computer interface (BCI) is targeted for decoding the EEG (Electroencephalogram) signals that the human brain generates which are beneficial for the paraplegic patients. Two stage Logistic Regression classifier is finally employed for classification of movements using processed EEG signals. The experimental results demonstrate the accuracy, robustness and computational complexity of the proposed approach and have significant improvement as compared with recent architectures for EEG classification.
09:25~09:40        TA3-2
Real time Human Emotion Monitoring based on Bio-signals

Pikulkaew Tangtisanon(King Mongkut's Institute of Technology Ladkrabang, Faculty of Engineering, Thailand)

This paper focuses on emotional monitoring and warning system using human Bio-signals in real time. The signals come from galvanic skin response and heart rate sensor that attached with a wristband wearing by the elders. The two signals are sent to a server as inputs, calculated using Fuzzy set variable model then return emotion and health status of the elder as outputs stored in the server. A caretaker can monitor for the elder’s emotion in real time anywhere, any time.
09:40~09:55        TA3-3
Remote human motion detecting system based on infrared array sensor

Yiwei Zhu, Tong Li, Shigeyuki Tateno(Waseda University, Japan)

Human motion detecting has been important in many application areas. Frequently used Optical cameras are faced with some limitations such as privacy problems, which are solved with the application of infrared array sensor in this research. A human motion detecting system is constructed in this paper that can detect motion information and transmit it to remote terminal. Data processing procedure of this system include interpolation and background subtraction. Experiments show that this system successfully realizes the aim of human motion detection.
09:55~10:10        TA3-4
Development of Drowsiness Detection System based on Respiration Rate and LF-HF Ratio

Ziyuan WANG, XIA GUAN, Zhaoxian Qu, Shigeyuki Tateno(Waseda University, Japan)

Nowadays, driver drowsiness has been one of the main causes of traffic accidents, thus several methods have been proposed to reduce the risk. This paper proposes a method that utilizes respiration rates and LF-HF ratios of drivers calculated from their heart rates to estimate the degree of drowsiness. The system using this method has high environment adaptability, relatively lower misjudgments, as well as high economic viability. By a series of experiments, accuracy of the method is verified, and it is able to be expected to play a role in solving traffic safety problems.
10:10~10:25        TA3-5
Partical simulation on biomolecular reaction system in contaminating reaction field

Keisuke Watanabe(Kyushu institute of Technology, Japan), Takashi Nakakuki(Kyushu Institute of Technology, Japan)

The internal reaction field in cells is contaminated messily in the sense that various molecules are mixed in high density and miscellaneous, and it was thought that impurities should influence the signal transduction. In this study, we aim to simulate biomolecule reaction system in more realistic situation where EGFR pathway. We simulate the signaling of the cell surface in a contaminating reaction field.

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