Arm Orientation Estimation Method with Multiple Devices for NUI/NUX


Yunsick Sung, Ryong Choi, Young-Sik Jeong, Journal of Information Processing Systems Vol. 14, No. 4, pp. 980-988, Aug. 2018  

https://doi.org/10.3745/JIPS.02.0087
Keywords: Bayesian Probability, HTC VIVE, Motion Estimation, NUI/NUX, Thalmic Myo
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Abstract

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.


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Cite this article
[APA Style]
Sung, Y., Choi, R., & Jeong, Y. (2018). Arm Orientation Estimation Method with Multiple Devices for NUI/NUX. Journal of Information Processing Systems, 14(4), 980-988. DOI: 10.3745/JIPS.02.0087.

[IEEE Style]
Y. Sung, R. Choi, Y. Jeong, "Arm Orientation Estimation Method with Multiple Devices for NUI/NUX," Journal of Information Processing Systems, vol. 14, no. 4, pp. 980-988, 2018. DOI: 10.3745/JIPS.02.0087.

[ACM Style]
Yunsick Sung, Ryong Choi, and Young-Sik Jeong. 2018. Arm Orientation Estimation Method with Multiple Devices for NUI/NUX. Journal of Information Processing Systems, 14, 4, (2018), 980-988. DOI: 10.3745/JIPS.02.0087.