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Tae-Seong Kim

2-3-5 Project Director

  • Affiliation Kyung Hee Univ (Biomedical Engineering)
  • Tel 031-201-3731
  • E-mail

    tskim@khu.ac.kr

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  • Research TopicDevelopment of Wearable Device Capable of Human Activity Recognition and Exercise Information Generation
Project : Development of Wearable Device Capable of Human Activity Recognition and Exercise Information Generation
Purpose ○ Develop IMU-sensor based wearable device capable of human activity recognition and exercise information generation
○ Develop deep learning based human activity recognition techniques
○ Develop exercise information generation techniques from recognized human activities
○ Develop a wearable device combined with IMU sensors, signal processing module, and wireless communication modules.
○ Develop a flexible and stretchable platform for a small patch-type wearable device.
○ Develop a wearable device capable of life logging.
Contents ○ Develop deep leaning based human activity recognition technology: Convolutional Neural Network (CNN) and Recurrent Network (RNN) based human activity recognition techniques.
○ Develop human exercise information generation technology: energy expenditure, step counts, exercise distance etc.
○ Develop software libraries and SDK based on C/Python for human activity recognition
○ Develop IMU sensor based wearable devices capable of human activity recognition and exercise information generation
○ Develop flexible and stretchable platforms for IMU sensor based wearable devices.
Expected Contribution ○ Smart sensor based human activity recognition technology can contribute automated life logging services.
○ Life logging allows personalized life care and health care services.
○ Patch-type flexible and stretchable wearable devices can open new opportunities of human activity recognition and life logging services.
○ Smart wearable devices and life logging technologies can create new business markets
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