연구동향 분석
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Deep learning based recognition of user intention for AR/VR wearable device interface exploiting users facial gestures

차재광 2020년

논문상세정보
인용/피인용
' Deep learning based recognition of user intention for AR/VR wearable device interface exploiting users facial gestures' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Augmented Reality
  • Deep Clustering
  • Deep Learning
  • Facial Gesture Recognition
  • Spatially Resolved Diffused Reflectance
  • Virtual Reality
  • 가상현실
  • 공간 분해 적외선 산란 반사(SRDR)
  • 심층 클러스터링
  • 심층 학습(Deep Learning)
  • 얼굴 제스쳐 인식
  • 증강현실
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
4,860 0

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' Deep learning based recognition of user intention for AR/VR wearable device interface exploiting users facial gestures' 의 참고문헌

  • ¡°Some methods forClassification and analysis of multivariate observations
    vol . 1 , pp . 281–297 [1967]
  • ``Convolutional LSTM network : A Machine Learning Approach for Precipitation Nowcasting
    [2015]
  • [97] L. v. d. Maaten and G. Hinton, “Visualizing data using t-sne,” Journal of machine learning research, vol. 9, no. Nov, pp. 2579–2605, 2008.
  • [96] S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural computation, vol. 9, no. 8, pp. 1735–1780, 1997.
  • [93] R. E. Bellman, Adaptive control processes: a guided tour. Princeton university press, 2015.
  • [7] IBM, 10 Key Marketing Trends for 2017 and Ideas for Exceeding Customer Expectations. https://www.ibm.com/downloads/cas/XKBEABLN (accessed Feb. 10, 2019).
  • [76] I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A.Courville, and Y. Bengio, “Generative adversarial nets,” in Proceedings of the 27th InternationalConference on Neural Information Processing Systems, pp. 2672–2680, 2014.
    pp . 2672–2680 [2014]
  • [73] J. L. McClelland, D. E. Rumelhart, P. R. Group, et al., Parallel distributed processing, vol. 2. MIT press Cambridge, MA, 1987.
  • [6] Microsoft, MS Hololens specifications. https://www.microsoft.com/en-us/hololens/hardware (accessed Dec. 18, 2019).
  • [5] Sony, Sony Playstation VR specifications. https://www.playstation.com/en-us/explore/playstation-vr/tech-specs (accessed Mar. 3, 2019).
  • [50] J. C. Lucero and K. G. Munhall, “A model of facial biomechanics for speech production,” The Journal of the Acoustical Society of America, vol. 106, no. 5, pp. 2834–2842, 1999.
  • [4] HTC, HTC VIVE specifications. https://www.vive.com/us/product/vive-virtual-reality-system (accessed Dec. 18, 2019).
  • [47] D. P. Kingma and M. Welling, “Auto-encoding variational bayes,” arXiv preprint arXiv:1312.6114, 2013.
  • [40] LeapMotion, Leap Motion Leap Motion specifications. https://www.leapmotion.com/technology (accessed Dec. 18, 2019).
  • [3] Samsung, Samsung Gear VR specifications. https://www.samsung.com/global/galaxy/gear-vr/specs (accessed Dec. 18, 2019).
  • [39] Cyberglovesystems, Cyberglovesystems Cyberglove 3 specifications. avaliable at http://www.cyberglovesystems.com/cyberglove-iii (accessed Dec. 18, 2019).
  • [38] Omnifinity, Omnifinity Omnideck specifications. http://www.omnifinity.se (accessed Dec. 18, 2019).
  • [37] Infinadeck, Infinadeck specifications. https://www.infinadeck.com (accessed Dec. 18, 2019).
  • [36] KATVR, KAT VR Walk specifications. http://www.katvr.com (accessed Dec. 18, 2019).
  • [35] Virtuix, Virtuix Omni specifications. https://www.virtuix.com (accessed Dec. 18, 2019).
  • [34] Vicon, Vicon Reality specifications. https://www.vicon.com/motion-capture/vicon-reality (accessed Dec. 18, 2019).
  • [31] Xsens, Xsens MVN specifications. https://www.xsens.com/products/xsens-mvn-analyze (accessed Dec. 18, 2019).
  • [30] F. A. Kondori, Human Motion Analysis: For Creating Immersive Experience. Citeseer, 2012.
  • [2] OculusVR, The development kit 1 specifications. https://www.oculus.com/rift (accessed Feb. 11, 2019).
  • [29] SeikoEpson, Epson Moverio BT-300 specifications. https://tech.moverio.epson.com/en/bt-300/index.html (accessed Dec. 18, 2019).
  • [28] Vuzix, Vuzix m300 specifications. https://www.vuzix.com/Products/m300-smart-glasses (accessed Dec. 18, 2019).
  • [27] LooxidLabs, Looxid VR specifications. https://looxidlabs.com/looxidvr (accessed Dec. 18, 2019).
  • [1] Google, Google Glass specifications. https://support.google.com/glass/answer/3064128?hl=en (accessed Dec. 18, 2019).
    [2019]
  • [17] Varjo, Varjo VR-1 specifications. https://varjo.com/vr-1 (accessed Dec. 18, 2019).
  • [16] Pimax, Pimax 8K specifications. https://pimaxvr.com/pages/8k (accessed Mar. 3, 2019).
  • [12] D. Lanman and D. Luebke, “Near-eye light field displays,” ACM Transactions on Graphics (TOG), vol. 32, no. 6, p. 220, 2013.
  • Vr facial animation via multiview image translation
    vol . 38 , no . 4 , p. 67 [2019]
  • Vergence– accommodation conflicts hinder visual performance and cause visual fatigue ,
    vol . 8 , no . 3 , pp . 33–33 [2008]
  • Use of the evoked potential p3 component for control in a virtual apartment
    vol . 11 , no . 2 , pp . 113–116 [2003]
  • Unsupervised deep embedding for clustering analysis
    vol . 48 , pp . 478–487 , JMLR.org [2016]
  • Unsupervised Learning of Video Representations Using Lstms
    [2015]
  • Unsupervised Learning of Long-Term Motion Dynamics for Videos
    [2017]
  • Understanding of internal clustering validation measures
    [2010]
  • Thalmic Labs MYO armband specifications
    https : //support.getmyo.com/hc/en-us ( accessed [1820]
  • Steady-state vep-based brain-computer interface control in an immersive 3d gaming environment
    vol . 2005 , no . 19 , p. 706906 [2005]
  • Self-paced ( asynchronous ) bciControl of a wheelchair in virtual environments : aCase study with a tetraplegic
    vol . [2007]
  • Self-Paced Brain-Computer Interaction with Virtual Worlds : A Quantitative and Qualitative Study “ Out of the Lab
  • Scattering and absorption of turbid materials determined from reflection measurements . 2 : Measuring method andCalibration
    vol . 22 , no . 16 , pp . 2463–2467 [1983]
  • Scattering and absorption of turbid materials determined from reflection measurements . 1 : Theory
    vol . 22 , no . 16 , pp . 2456–2462 [1983]
  • Resolving the vergence-accommodationConflict in head-mounted displays
    vol . 22 , pp . 1912–1931
  • Reducing visual discomfort with hmds using dynamic depth of field
    vol . 35 , no . 5 , pp . 34– 41 [2015]
  • Optical properties of human skin
    vol . 17 , no . 9 , p. 090901 [2012]
  • On the anatomy and physiology of the skin : I. the cleavability of the cutis
    vol . 31 , no . 1 , pp . 3–8 [1978]
  • Notes on the resolution and other details of the human eye .
    [1820]
  • Noninvasive investigation of blood oxygenation dynamics of tumors by nearinfrared spectroscopy
    vol . 39 , no . 28 , pp . 5231–5243 , [2000]
  • Noninvasive determination of fiber orientation and tracking 2-dimensional deformation of human skin utilizing spatially resolved reflectance of infrared light measurement in vivo
    vol . 142 , pp . 170– 180 [2019]
  • Navigating virtual reality by thought : What is it like ?
    vol . 16 , no . 1 , pp . 100–110 [2007]
  • Natural user interface-next mainstream product user interface
    1 , vol . 1 , pp . 203–205
  • Motionanalysis Motion Capture specifications
    https : //motionanalysis.com/virtual-reality ( accessed
  • Monte carlo simulation of polarized photon scattering in anisotropic media
    vol . 17 , no . 19 , pp . 16590–16602 [2009]
  • Light-emitting diodes ( leds ) in dermatology
    vol . 27 , no . 4 , pp . 227–238 [2008]
  • Light scattering spectroscopy of human skin in vivo
    vol . 17 , no . 3 , pp . 1256–1267 [2009]
  • Light propagation in dry and wet softwood
    vol . 16 , no . 13 , pp . 9895–9906 [2008]
  • Light propagation in dentin : influence of microstructure on anisotropy
    vol . 48 , no . 2 , p. N7 [2002]
  • Light guiding in biological tissue due to scattering
    vol . 97 , no . 1 , p. 018104 [2006]
  • Learning temporal regularity in video sequences
    [2016]
  • Kim , “ A technique for matching convergence and accommodation in a fixed screen
  • Intensity profiles of linearly polarized light backscattered from skin and tissue-like phantoms
    vol . 10 , no . 1 , p. 014012 [2005]
  • Influence of layered tissue architecture on estimates of tissue optical properties obtained from spatially resolved diffuse reflectometry
    vol . 37 , no . 10 , pp . 1958–1972 [1998]
  • Improved solutions of the steady-state and the time-resolved diffusion equations for reflectance from a semi-infinite turbid medium
    vol . 14 , pp . 246–254
  • High-resolution optical see-through multi-focal-plane headmounted display using freeform optics
    vol . 22 , pp . 13896– 13903
  • High-fidelity facial and speech animation for vr hmds
    vol . 35 , no . 6 , p. 221 [2016]
  • Hand-free natural user interface for vr hmd with ir based facial gesture tracking sensor
    p. 62 , ACM [2017]
  • Facial performance sensing head-mounted display ,
    vol . 34 , no . 4 , p. 47 [2015]
  • Facial action coding system ( facs ) : Manual and investigator ’ s guide
    vol . 2 [2002]
  • Eye safety of ireds used in lamp applications
    [2009]
  • Expression glasses : a wearable device for facial expression recognition
    [1999]
  • Discriminatively boosted image clustering with fully convolutional auto-encoders
    vol . 83 , pp . 161–173 [2018]
  • Determination of the optical properties of anisotropic biological media using an isotropic diffusion model
    vol . 12 , no . 1 , p. 014026 [2007]
  • Delving deep into rectifiers : Surpassing human-level performance on imagenet classification
    [2015]
  • Combating vr sickness through subtle dynamic field-of-view modification
    pp . 201–210
  • Clustering with deep learning : Taxonomy and new methods
    [2018]
  • Characterization of various imu error sources and the effect on navigation performance
    pp . 967–978 [2005]
  • Brain– computer communication : motivation , aim , and impact of exploring a virtual apartment
    vol . 15 , no . 4 , pp . 473–482 [2007]
  • Brain-computer interfaces for communication and control
    vol . 54 , no . 5 , p. 60 [2011]
  • Backpropagation applied to handwritten zip code recognition
    vol . 1 , no . 4 , pp . 541–551 [1989]
  • Automatic facial expression analysis : a survey
    vol . 36 , no . 1 , pp . 259–275 [2003]
  • Anomaly detection : A survey
    vol . 41 , no . 3 , p. 15 [2009]
  • Anisotropy of light propagation in human skin
    vol . 45 , no . 10 , p. 2873 [2000]
  • Anisotropy of light propagation in biological tissue
    vol . 29 , no . 22 , pp . 2617–2619 [2004]
  • Anisotropic light propagation in paper
    vol . 27 , no . 2 , pp . 500–506 [2012]
  • Anisotropic light propagation in bovine muscle tissue depends on the initial fiber orientation , muscle type and wavelength
    vol . 25 , no . 18 , pp . 22082–22095 [2017]
  • An ir-based facial expression tracking sensor for head-mounted displays
    [2016]
  • American national standard for safe use of lasers ansi z136
    [2014]
  • Active Appearance Models
    no . 6 , pp . 681–685 [2001]
  • Accuracy of the diffusion approximation in determining the optical properties of a two-layer turbid medium
    vol . 37 , no . 31 , pp . 7401–7409 [1998]
  • Abnormal event detection in videos using spatiotemporal autoencoder
    [2017]
  • A vr serious game for fire evacuation drill with synchronized tele-collaboration among users
    [2016]
  • A real-time sensing of gait and viewing direction for human interaction in virtual training applications
    pp . 485– 490 [2015]
  • A mathematical theory ofCommunication
    vol . 27 , no . 3 , pp . 379–423 [1948]
  • A hands-free natural user interface ( nui ) for ar/vr head-mounted displays exploiting wearer ’ s facial gestures
    [2018]
  • A diffusion theory model of spatially resolved , steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo
    vol . 19 , no . 4 , pp . 879–888 [1992]
  • A density-based algorithm for discovering clusters in large spatial data-bases with noise
    vol . 96 , pp . 226–231 [1996]
  • A Fast Learning Algorithm for Deep Belief Nets
    vol . 18 , no . 7 , pp . 1527–1554 [2006]
  • 18.1 a 2.71 nj/pixel 3d-stacked gaze-activated object-recognition system for low-power mobile hmd applications
    [2015]