Associate Professor

Title Associate Professor
Department Department of Mechanical Engineering
Course Intelligent Mechanical Engineering Course

Research fields

We focus on motion analysis using machine learning and aim at developing the applications. For example, we are working on bio-signal robot control and sports skill evaluation system.

Bio-signal robot control is a prospective technology for welfare. It requires integrated technology such as bio-signal measurement, machine learning due to estimating human intention, and assist devices for motion support, environmental control, and communication. So far, we have achieved operating a mobile robot based on electroencephalogram (EEG), and a robot arm based on electrooculogram (EOG).

Sports skill evaluation system is designed for young athletes to improve their sports skills. It consists of sporting goods with built-in sensors and skill evaluation using machine learning. So far, we focus on a 9 axis motion sensor (i.e., a 3-axis acceleration sensor, a 3-axis geomagnetic sensor, and a 3-axis gyro sensor) and have developed a sensor ball for analyzing throwing motion and a sensor shoe for analyzing walking.

EOG-based Robot Arm Control A Sensor Ball for Analyzing Thorwing Motion

Research Keywords

Welfare Robotics, Human Machine Intereface, Mechatronics

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