• Title/Summary/Keyword: Thalmic Myo

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Arm Orientation Estimation Method with Multiple Devices for NUI/NUX

  • Sung, Yunsick;Choi, Ryong;Jeong, Young-Sik
    • Journal of Information Processing Systems
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    • v.14 no.4
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    • pp.980-988
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    • 2018
  • Motion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilize motions as commands. HTC VIVE is an excellent device for estimating motions but only considers the positions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaning of motions can differ according to the orientations of the arms. Therefore, when the positions of arms are measured and utilized, their orientations should be estimated as well. This paper proposes a method for estimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The results showed that the proposed method estimated orientations with an error rate of about 19%, but the possibility of estimating the orientation of any body part without additional devices was demonstrated.

A Research for Interface Based on EMG Pattern Combinations of Commercial Gesture Controller (상용 제스처 컨트롤러의 근전도 패턴 조합에 따른 인터페이스 연구)

  • Kim, Ki-Chang;Kang, Min-Sung;Ji, Chang-Uk;Ha, Ji-Woo;Sun, Dong-Ik;Xue, Gang;Shin, Kyoo-Sik
    • Journal of Engineering Education Research
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    • v.19 no.1
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    • pp.31-36
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    • 2016
  • These days, ICT-related products are pouring out due to development of mobile technology and increase of smart phones. Among the ICT-related products, wearable devices are being spotlighted with the advent of hyper-connected society. In this paper, a body-attached type wearable device using EMG(electromyography) sensors is studied. The research field of EMG sensors is divided into two parts. One is medical area and another is control device area. This study corresponds to the latter that is a method of transmitting user's manipulation intention to robots, games or computers through the measurement of EMG. We used commercial device MYO developed by Thalmic Labs in Canada and matched up EMG of arm muscles with gesture controller. In the experiment part, first of all, various arm motions for controlling devices are defined. Finally, we drew several distinguishing kinds of motions through analysis of the EMG signals and substituted a joystick with the motions.