Development of safety device utilizing brain machine interface (BMI) for educational practice of machine tool

Name: Onori, Tomoki

Organization : Ariake College. National Institute of Technology

Name: Himaki, Tomoki

Organization : Ariake College. National Institute of Technology

Name: Yoshitomi, Takashi

Organization : Ariake College. National Institute of Technology

Name: Yanagihara, Kiyoshi

Organization : Ariake College. National Institute of Technology

Email : kiyoshi@ga.ariake-nct.ac.jp

keyword: Active safety system

ThaSH: Machine-shop practice

ThaSH: Brain-computer interfaces

ThaSH: Machine-tools

ThaSH: Fatigue in the workplace

Abstract: National Institute of technology (N.I.T.) of Japan is consist of 55 colleges, and each college provides practical knowledge and skill about engineering to relatively young student who is from 15 years to 22 years old. Ariake college of N.I.T. to which authors belong, had ever experienced one serious incident of a students in machine-tool practice. As for this incident, a drop of the student's concentration by the accumulation his fatigue is regarded as a cause. In this case, if the concentration-drop of each student can be detected during machine-tool practice automatically, it will help to prevent occur of incident and keep safe environment of study in college. Lately Toy-based head-set type of a simple brain machine interface (B.M.I.) is developed and provided on the market with reasonable price. This interface can measure brain-waves, such as alpha, beta, and theta waves. Also application programing interface (A.P.I.) for Microsoft Windows is provided to produce original application programing. Thus the use of this simple B.M.I. is considered to realize active-safety system for student to practice machine-tool. The active safety system consists of the B.M.I. to sense brain-waves, a personal computer (P.C.) to analyze the detected brain wave and control machine-tool, an original-made interface to connect P.C. and machine-tool. The B.M.I. and P.C. are connected with Bluetooth, and the combination of them provide application, that is named as "algorithmic eSense", that can display a concentration or relaxation of subject with the score that is from 0 to 100. The P.C. monitors concentration of subject from B.M.I. output. If the level of the concentration goes under a preset level, the P.C. transfer the signal, such as emergency stop, to machine-tool through the originally developed P.C.-machine-tool interface. The developed active-safety system based on brain wave of subject is finally examined. In this experiment, subject is of 20 years old selected, his brain wave is analyzed with the system. The system distinguishes whether the subject concentrate on machine-tool practice with his brain wave, the system demonstrates emergency stop of machine-tool spindle when his concentration is below preset threshold. Those experimental results show that the developed active-safety system employing B.M.I. is effective and feasible.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2016

Modified: 2026-09-02

Issued: 2026-09-02

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BibliograpyCitation : In Chulalongkorn University Faculty of Engineering. The 7th TSME International Conference on Mechanical Engineering 2016 (TSME-ICoME7) (EDU0002). Bangkok : Chulalongkorn University

eng

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