Gesture interaction in virtual reality

Virtual reality ; Gesture interaction ; Gesture recognition

Yang LI, Jin HUANG, Feng TIAN, Hong-An WANG, Guo-Zhong DAI. Gesture interaction in virtual reality. Virtual Reality & Intelligent Hardware, 2019, 1(1): 84-112 DOI:10.3724/SP.J.2096-5796.2018.0006

1. Pantic M, Nijholt A, Pentland A, Huang T S. Human-Centred Intelligent Human Computer Interaction (HCI²): how far are we from attaining it? International Journal of Autonomous and Adaptive Communications Systems,2008, 1(2): 168−187 DOI:10.1504/IJAACS.2008.019799

2. Karam M. A framework for research and design of gesture-based human-computer interactions. Doctoral. University of Southampton, 2006

3. Dam A V. Post-WIMP user interfaces. Communications of the ACM, 1997, 40(2): 63−67 DOI:10.1145/253671.253708

4. Green M, Jacob R. Software architectures and metaphors for non-wimp user interfaces. ACM SIGGRAPH Computer Graphics, 1991, 25(3): 229−235 DOI:10.1145/126640.126677

5. Mitra S, Acharya T. Gesture Recognition: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2007, 37(3): 311−324 DOI:10.1109/TSMCC.2007.893280

6. Cerney M M, Vance J M. Gesture recognition in virtual environments: a review and framework for future development. Iowa State University Human Computer Interaction Technical Report ISU-HCI-2005-01. 2005

7. Parvini F, Shahabi C. An algorithmic approach for static and dynamic gesture recognition utilising mechanical and biomechanical characteristics. International Journal of Bioinformatics Research and Applications, 2007, 3(1): 4−23 DOI:10.1504/ijbra.2007.011832

8. Rogers Y, Sharp H, Preece J. Interaction design: beyond human-computer interaction. John Wiley Sons, 2011

9. Rautaray S S, Agrawal A. Vision based hand gesture recognition for human computer interaction: a survey. Artificial Intelligence Review, 2015, 43(1): 1−54 DOI:10.1007/s10462-012-9356-9

10. Pavlovic V, Sharma R, Huang T S. Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Transactions on Pattern Analysis Machine Intelligence, 1997, 19(7): 677−695 DOI:10.1109/34.598226

11. Ottenheimer H J. The anthropology of language: an introduction to linguistic anthropology. Wadsworth Publishing. 2005

12. McNeill D. Hand and mind: What gestures reveal about thought. Chicago, USA: University of Chicago Press. 1992

13. Kanniche M B. Gesture recognition from video sequences. PhD Thesis, University of Nice. 2009

14. International standards: ISO/IEC 30113-11: 2017(E)

15. Nishikawa A, Hosoi T, Koara K, Negoro D, Hikita A, Asano S, Kakutani H, Miyazaki F, Sekimoto M, Yasui M, Miyake Y, Takiguchi S, Monden M. FAce MOUSe: A novel human-machine interface for controlling the position of a laparoscope. IEEE Transactions on Robotics and Automation, 2003, 19(5): 825−841 DOI:10.1109/TRA.2003.817093

16. Tarchanidis K N, Lygouras J N. Data glove with a force sensor. IEEE Transactions on Instrumentation and Measurement, 2003, 52(3): 984−989 DOI:10.1109/TIM.2003.809484

17. Temoche P, Esmitt R J, Rodríguez O. A low-cost data glove for virtual reality. Xi International Congress of Numerical Methods in Engineering and Applied Sciences. 2012, TCG31−36

18. Furness T A. The Super Cockpit and its Human Factors Challenges. Proceedings of the Human Factors Society Annual Meeting, 1986, 30(1): 48−52 DOI:10.1177/154193128603000112

19. Rekimoto J. GestureWrist and GesturePad: unobtrusive wearable interaction devices. In: Proceedings Fifth International Symposium on Wearable Computers, 2001, 21−27 DOI:10.1109/ISWC.2001.962092

20. Baek J, Jang I J, Park K, Kang H S, Yun B J. Human Computer Interaction for the Accelerometer-Based Mobile Game. In: Embedded and Ubiquitous Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006, 509−518 DOI:10.1007/11802167_52

21. Webster J G. Medical Instrumentation-Application and Design. 1978, 3(3): 306

22. Jain A, Bhargava D B, Rajput A. Touch-screen technology. International Journal of Advanced Research in Computer Science and Electronics Engineering, 2013, 2(1)

23. Subrahmonia J, Zimmerman T. Pen computing: challenges and applications. In: Proceedings 15th International Conference on Pattern Recognition ICPR-2000. Barcelona, Spain, 2000, 60−66 DOI:10.1109/ICPR.2000.906018

24. Freeman W T Roth M. Orientation histograms for hand gesture recognition. In: International workshop on automatic face and gesture recognition. 1995, 12: 296−301

25. Zhang L G, Wu J Q, Gao W, Yao H X. Hand gesture recognition based on Hausdorff Distance. Journal of Image and Graphics, 2002, 7(11): 1144−1150 DOI:10.11834/jig.2002011341

26. Meng C N, Lv J P, Chen X H. Gesture recognition based on universal infrared camera. Computer Engineering and Applications. 2015, 51(16): 17−22

27. Weichert F, Bachmann D, Rudak B, Fisseler D. Analysis of the Accuracy and Robustness of the Leap Motion Controller. Sensors, 2013, 13(5): 6380−6393 DOI:10.3390/s130506380

28. Chen Y, Ding Z, Chen Y, Wu X. Rapid recognition of dynamic hand gestures using leap motion. In: 2015 IEEE International Conference on Information and Automation. 2015, 1419−1424 DOI:10.1109/ICInfA.2015.7279509

29. Anonymous. USens CTO Detailed Human-Computer Interactive Tracking Technology. Computer Telecommunica-tion, 2016(4): 12−13

30. Anonymous. Virtual Reality Technology Trends to “Bare Hand Manipulation”. Machine Tool Hydraulics, 2017(8): 38−38

31. Gu Y, Do H, Ou Y, Sheng W. Human gesture recognition through a Kinect sensor. In: 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO). 2012, 1379–1384 DOI:10.1109/ROBIO.2012.6491161

32. Ren Z, Yuan J, Meng J, Zhang Z. Robust Part-Based Hand Gesture Recognition Using Kinect Sensor. IEEE Transactions on Multimedia. 2013, 15(5): 1110–1120 DOI:10.1109/TMM.2013.2246148

33. Raheja J L, Chaudhary A, Singal K. Tracking of Fingertips and Centers of Palm Using KINECT. In: 2011 Third International Conference on Computational Intelligence, Modelling Simulation, 2011, 248−252 DOI:10.1109/CIMSim.2011.51

34. Ren Z, Meng J, Yuan J, Zhang Z: Robust hand gesture recognition with kinect sensor. In: Proceedings of the 19th ACM international conference on Multimedia. Scottsdale, Arizona, USA, ACM, 2011: 759−760 DOI:10.1145/2072298.2072443

35. Han Y. A low-cost visual motion data glove as an input device to interpret human hand gestures. IEEE Transactions on Consumer Electronics. 2010, 56(2): 501−509 DOI:10.1109/TCE.2010.5505962

36. Mistry P, Maes P, Chang L. WUW - wear Ur world: a wearable gestural interface. In: CHI '09 Extended Abstracts on Human Factors in Computing Systems. Boston. MA, USA, ACM, 2009: 4111−4116 DOI:10.1145/1520340.1520626

37. Rautaray S S, Agrawal A. Vision based hand gesture recognition for human computer interaction: a survey. Artificial Intelligence Review, 2015, 43(1): 1−54 DOI:10.1007/s10462-012-9356-9

38. Mehdi S A, Khan Y N. Sign language recognition using sensor gloves. In: Proceedings of the 9th International Conference on Neural Information Processing. 2002, 2204−2206 DOI:10.1109/ICONIP.2002.1201884

39. Shi J F, Chen Y, Zhao H M. Node-Pair BP Network Based Gesture Recognition by Data Glove. System Simulation Technology, 2008, 4(3): 154−157 DOI:10.3969/j.issn.1673-1964.2008.03.003

40. Rung-Huei L, Ming O. A real-time continuous gesture recognition system for sign language. In: Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition. 1998, 558−567 DOI:10.1109/AFGR.1998.671007

41. Liu M T, Lei Y. Chinese finger Alphabet flow recognition system based on data glove. Computer Engineering, 2011, 37(22): 168−170

42. Wu J Q, Gao W, Chen L X. A system recognizing Chinese finger-spelling alphabets based on data-glove input. Pattern Recognition and Artificial Intelligence, 1999(1): 74−78

43. Weissmann J, Salomon R. Gesture recognition for virtual reality applications using data gloves and neural networks. In: IJCNN'99 International Joint Conference on Neural Networks Proceedings. 1999, 2043−2046 DOI:10.1109/IJCNN.1999.832699

44. Xu Y H, Li J R. Research and implementation of virtual hand interaction in virtual mechanical assembly. Machinery Design Manufacture, 2014(5): 262−266

45. Mirabella O, Brischetto M, Mastroeni G. MEMS based gesture recognition. In: 3rd International Conference on Human System Interaction. 2010, 599−604 DOI:10.1109/HSI.2010.5514506

46. Kela J, Korpipää P, Mäntyjärvi J, Kallio S, Savino G, Jozzo L, Marca D. Accelerometer-based gesture control for a design environment. Personal Ubiquitous Computing, 2006, 10(5): 285−299 DOI:10.1007/s00779-005-0033-8

47. Xu J, Liu C H, Meng Y X. Gesture recognition base on wearable controller. Application of Electronic Technique, 2016, 42(7): 68−71

48. He Z Y, Jin L W, Zhen L X, Huang J C. Gesture recognition based on 3D accelerometer for cell phones interaction. In: APCCAS2008 - 2008IEEE Asia Pacific Conference on Circuits and Systems. 2008, 217−220 DOI:10.1109/APCCAS.2008.4745999

49. Schlömer T, Poppinga B, Henze N, Boll S. Gesture recognition with a Wii controller. In: Proceedings of the 2nd international conference on Tangible and embedded interaction. Bonn, Germany, ACM, 2008: 11−14 DOI:10.1145/1347390.1347395

50. Du Y, Jin W, Wei W, Hu Y, Geng W. Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation. 2017, 17(3): 458 DOI:10.3390/s17030458

51. Kim J, Mastnik S, André E. EMG-based hand gesture recognition for realtime biosignal interfacing. In: Proceedings of the 13th international conference on Intelligent user interfaces. Gran Canaria, Spain, ACM, 2008: 30−39 DOI:10.1145/1378773.1378778

52. Madhavan G. Electromyography: physiology, engineering and non-invasive applications. Annals of Biomedical Engineering, 2005, 33(11): 1671

53. Saponas T S, Tan D S, Morris D, Balakrishnan R. Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Florence, Italy, ACM, 2008: 515−524 DOI:10.1145/1357054.1357138

54. Saponas T S, Tan D S, Morris D, Balakrishnan R, Turner J, Landay J A. Enabling always-available input with muscle-computer interfaces. In: Proceedings of the 22nd annual ACM symposium on User interface software and technology. Victoria, BC, Canada, ACM, 2009: 167−176 DOI:10.1145/1622176.1622208

55. Saponas T S, Tan D S, Morris D, Turner J, Landay J A. Making muscle-computer interfaces more practical. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA, ACM, 2010: 851−854 DOI:10.1145/1753326.1753451

56. Amma C, Krings T, Böer J, Schultz T. Advancing Muscle-Computer Interfaces with High-Density Electromyography. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Seoul, Republic of Korea, ACM, 2015: 929−938 DOI:10.1145/2702123.2702501

57. Huang D, Zhang X, Saponas T S, Fogarty J, Gollakota S. Leveraging Dual-Observable Input for Fine-Grained Thumb Interaction Using Forearm EMG. In: Proceedings of the 28th Annual ACM Symposium on User Interface Software Technology. Charlotte, NC, USA, ACM, 2015: 523−528 DOI:10.1145/2807442.2807506

58. Rubine D H. The automatic recognition of gestures. Carnegie Mellon University, 1992

59. Wobbrock J O, Wilson A D, Li Y. Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes. In: Proceedings of the 20th annual ACM symposium on User interface software and technology. Newport, Rhode Island, USA, ACM, 2007: 159−168 DOI:10.1145/1294211.1294238

60. Anthony L, Wobbrock J O. A lightweight multistroke recognizer for user interface prototypes. In: Proceedings of Graphics Interface 2010. Ottawa, Ontario, Canada, Canadian Information Processing Society, 2010: 245−252

61. VatavuR-D, Anthony L, Wobbrock J O. Gestures as point clouds: a $P recognizer for user interface prototypes. In: Proceedings of the 14th ACM international conference on Multimodal interaction. Santa Monica, California, USA, ACM, 2012: 273−280 DOI:10.1145/2388676.2388732

62. Hackenberg G, McCall R, Broll W. Lightweight palm and finger tracking for real-time 3D gesture control. In: 2011 IEEE Virtual Reality Conference. 2011, 19−26 DOI:10.1109/VR.2011.5759431

63. Freeman W T, Weissman C D. Television control by hand gestures. International Workshop on Automatic Face Gesture Recognition, 1995: 179−183

64. Kaufmann B, Louchet J, Lutton E. Hand Posture Recognition Using Real-Time Artificial Evolution. In: Applications of Evolutionary Computation. Berlin, Heidelberg, Springer Berlin Heidelberg, 2010, 251−260 DOI:10.1007/978-3-642-12239-2_26

65. Flasiński M, Myśliński S. On the use of graph parsing for recognition of isolated hand postures of Polish Sign Language. Pattern Recognition, 2010, 43(6): 2249−2264 DOI:10.1016/j.patcog.2010.01.004

66. Bergh M V d, Gool L V. Combining RGB and ToF cameras for real-time 3D hand gesture interaction. In: Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV). IEEE Computer Society, 2011: 66−72 DOI:10.1109/WACV.2011.5711485

67. Jones M J, Rehg J M. Statistical Color Models with Application to Skin Detection. International Journal of Computer Vision, 2002, 46(1): 81−96 DOI:10.1023/A:1013200319198

68. Weng C, Li Y, Zhang M, Guo K, Tang X, Pan Z. Robust Hand Posture Recognition Integrating Multi-cue Hand Tracking. In: Entertainment for Education Digital Techniques and Systems. Berlin, Heidelberg, Springer Berlin Heidelberg, 2010, 497−508 DOI:10.1007/978-3-642-14533-9_51

69. Ju S X, Black M J, Yacoob Y. Cardboard People: A Parameterized Model of Articulated Image Motion. In: Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition. IEEE Computer Society; 1996: 38

70. Kervrann C, Heitz F. Learning structure and deformation modes of nonrigid objects in long image sequences. 1995

71. Ren H B, Xu G H, Lin X Y. Hand gesture recognition based on characteristic curves. Journal of Software, 2002, 13(5): 987−993

72. Priyal P S, Bora P K. A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments. Pattern Recognition, 2013, 46(8): 2202−2219 DOI:10.1016/j.patcog.2013.01.033

73. Ju S X, Black M J, Minneman S, Kimber D. Analysis of Gesture and Action in Technical Talks for Video Indexing. In: Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 1997: 595

74. Luo Q, Kong X, Zeng G, Fan J. Human action detection via boosted local motion histograms. Machine Vision and Applications, 2010, 21(3): 377−389 DOI:10.1007/s00138-008-0168-5

75. Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A. Real-time human pose recognition in parts from single depth images. In: CVPR 2011, 2011, 1297−1304 DOI:10.1109/CVPR.2011.5995316

76. Kass M, Witkin A, TerzopoulosD. Snakes. Active contour models. International Journal of Computer Vision, 1988, 1(4): 321−331 DOI:10.1007/BF00133570

77. Lu W-L, Little J J. Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor. In: Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision. IEEE Computer Society, 2006: 6 DOI:10.1109/CRV.2006.66

78. Moni M A, Ali A B M S. HMM based hand gesture recognition. A review on techniques and approaches. In: 2009 2nd IEEE International Conference on Computer Science and Information Technology. 2009, 433−437 DOI:10.1109/ICCSIT.2009.5234536

79. Keskin C, Erkan A, Akarun L. Real time hand tracking and 3D gesture recognition for interactive interfaces using HMM. In: Proceedings of International Conference on Artificial Neural Networks. 2003

80. Chai X, Liu Z, Yin F, Liu Z, Chen X. Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition. In: 2016 23rd International Conference on Pattern Recognition, 2016, 31−36 DOI:10.1109/ICPR.2016.7899603

81. Tsironi E, Barros P, Wermter S. Gesture recognition with a convolutional long short-term memory recurrent neural network. In: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges, Belgium, 2016, 213−218

82. Bolt R A. “Put-that-there”: Voice and gesture at the graphics interface. Acm Siggraph Computer Graphics, 1980, 14(3): 262−270

83. Cohen P R, Johnston M, McGee D, Oviatt S, Pittman J, Smith I, Chen L, Clow J. QuickSet: multimodal interaction for distributed applications. In: Proceedings of the fifth ACM international conference on Multimedia. Seattle, Washington, USA, ACM, 1997: 31−40

84. Chatterjee I, Xiao R, Harrison C. Gaze+Gesture: Expressive, Precise and Targeted Free-Space Interactions. In: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. Seattle, Washington, USA, ACM, 2015: 131−138 DOI:10.1145/2818346.2820752

85. Velloso E, Turner J, Alexander J, Bulling A, Gellersen H. An Empirical Investigation of Gaze Selection in Mid-Air Gestural 3D Manipulation. In: Human-Computer Interaction – INTERACT 2015. Cham: Springer International Publishing, 2015, 315−330 DOI:10.1007/978-3-319-22668-2_25

86. Zhang F J, Dai G Z, Peng X L. A survey on human-computer interaction in virtual reality. Scientia Sinica (Informationis), 2016(12): 1711−1736 DOI:10.1360/N112016-00252

87. Wu L. Oviatt S L. Cohen P R. Multimodal integration-a statistical view. IEEE Transactions on Multimedia, 1999, 1(4): 334−341 DOI:10.1109/6046.807953

88. Sim K C. Speak-as-you-swipe (SAYS): a multimodal interface combining speech and gesture keyboard synchronously for continuous mobile text entry. In: Proceedings of the 14th ACM international conference on Multimodal interaction. Santa Monica, California, USA, ACM, 2012: 555−560 DOI:10.1145/2388676.2388793

89. Kopp S, Tepper P, Cassell J. Towards integrated microplanning of language and iconic gesture for multimodal output. In: Proceedings of the 6th International Conference on Multimodal Interfaces. New York, NY, ACM Press, 2004: 97−104

90. Ruppert G C S, Reis L O, Amorim P H J, de Moraes T F, da Silva J V L. Touchless gesture user interface for interactive image visualization in urological surgery. World Journal of Urology, 2012, 30(5): 687−691 DOI:10.1007/s00345-012-0879-0

91. Wachs J P, Stern H I, Edan Y, Gillam M. , Handler J. , Feied C. , Smith M. A gesture-based tool for sterile browsing of radiology images. J Am Med Inform Assoc, 2008, 15(3): 321−323 DOI:10.1197/jamia.M2410

92. Keskin C, Balci K, Aran O, Sankur B, Akarun L. A Multimodal 3D Healthcare Communication System. In: 2007 3DTV Conference, 2007, 1−4 DOI:10.1109/3DTV.2007.4379488

93. Phelan I, Arden M, Garcia C, Roast C. Exploring virtual reality and prosthetic training. In: 2015 IEEE Virtual Reality (VR), 2015, 353−354 DOI:10.1109/VR.2015.7223441

94. Moustakas K, Nikolakis G, Tzovaras D, Strintzis M G. A geometry education haptic VR application based on a new virtual hand representation. In: IEEE Proceedings VR 2005 Virtual Reality, 2005, 249−252 DOI:10.1109/VR.2005.1492782

95. Vrellis I, Moutsioulis A, Mikropoulos T A. Primary School Students’ Attitude towards Gesture Based Interaction: A Comparison between Microsoft Kinect and Mouse. In: 2014 IEEE 14th International Conference on Advanced Learning Technologies, 2014, 678−682 DOI:10.1109/ICALT.2014.199

96. Zhang X, Chen X, Li Y, Lantz V, Wang K, Yang J. A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors. IEEE Transactions on Systems, Man, and Cybernetics―Part A: Systems and Humans, 2011, 41(6): 1064−1076 DOI:10.1109/TSMCA.2011.2116004

97. Zhang F, Chu S, Pan R, Ji N, Xi L. Double hand-gesture interaction for walk-through in VR environment. In: 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS). Wuhan, IEEE, 2017, 539−544 DOI:10.1109/JCSSE.2015.7219818

98. Khundam C. First person movement control with palm normal and hand gesture interaction in virtual reality. In: 2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE). Songkhla, IEEE, 2015, 325−330 DOI:10.1109/JCSSE.2015.7219818

99. Park H, Jeong S, Kim T, Youn D and Kim K. Visual representation of gesture interaction feedback in virtual reality games. In: International Symposium on Ubiquitous Virtual Reality. Nara, IEEE, 2017, 20−23 DOI:10.1109/ISUVR.2017.14

100. Latoschik M E: A gesture processing framework for multimodal interaction in virtual reality. In: Proceedings of the 1st international conference on Computer graphics, virtual reality and visualisation. Cape Town, ACM, 2001: 95−100 DOI:10.1145/513867.513888

101. Chun L M, Arshad H, Piumsomboon T, Billinghurst M. A combination of static and stroke gesture with speech for multimodal interaction in a virtual environment. In: 2015 International Conference on Electrical Engineering and Informatics (ICEEI). Denpasar, IEEE, 2015: 59−64 DOI:10.1109/ICEEI.2015.7352470

1. Meng SONG, Shiyi LIU, Ge YU, Lili GUO, Dangxiao WANG, An immersive space liquid bridge experiment system with gesture interaction and vibrotactile feedback Virtual Reality & Intelligent Hardware 2019, 1(2): 219-232

2. Egemen ERTUGRUL, Ping LI, Bin SHENG, On attaining user-friendly hand gesture interfaces to control existing GUIs Virtual Reality & Intelligent Hardware 2020, 2(2): 153-161

3. Jiaxin LIU, Hongxin ZHANG, Chuankang LI, COMTIS: Customizable touchless interaction system for large screen visualization Virtual Reality & Intelligent Hardware 2020, 2(2): 162-174

4. Benjia ZHOU, Jun WAN, Yanyan LIANG, Guodong GUO, Adaptive cross-fusion learning for multi-modal gesture recognition Virtual Reality & Intelligent Hardware 0, -(-): 1-13

5. Benjia ZHOU, Jun WAN, Yanyan LIANG, Guodong GUO, Adaptive cross-fusion learning for multi-modal gesture recognition Virtual Reality & Intelligent Hardware 2021, 3(3): 235-247

6. Mengting XIAO, Zhiquan FENG, Xiaohui YANG, Tao XU, Qingbei GUO, Multimodal interaction design and application in augmented reality for chemical experiment Virtual Reality & Intelligent Hardware 2020, 2(4): 291-304

7. Yuanyuan SHI, Yunan LI, Xiaolong FU, Kaibin MIAO, Qiguang MIAO, Review of dynamic gesture recognition Virtual Reality & Intelligent Hardware 2021, 3(3): 183-206

8. Yang LI, Dong WU, Jin HUANG, Feng TIAN, Hong'an WANG, Guozhong DAI, Influence of multi-modality on moving target selection in virtual reality Virtual Reality & Intelligent Hardware 2019, 1(3): 303-315

9. Athirah SYAMIMI, Yiwei GONG, Ryan LIEW, VR industrial applications―A singapore perspective Virtual Reality & Intelligent Hardware 2020, 2(5): 409-420

10. Jie GUO, Dongdong WENG, Yue LIU, Qiyong CHEN, Yongtian WANG, Analysis of teenagers' preferences and concerns regarding HMDs in education Virtual Reality & Intelligent Hardware 2021, 3(5): 369-382

11. Susu HUANG, Daqing QI, Jiabin YUAN, Huawei TU, Review of studies on target acquisition in virtual reality based on the crossing paradigm Virtual Reality & Intelligent Hardware 2019, 1(3): 251-264

12. Yukang YAN, Xin YI, Chun YU, Yuanchun SHI, Gesture-based target acquisition in virtual and augmented reality Virtual Reality & Intelligent Hardware 2019, 1(3): 276-289

13. Yuan GAO, Le XIE, A review on the application of augmented reality in craniomaxillofacial surgery Virtual Reality & Intelligent Hardware 2019, 1(1): 113-120

14. Yuan CHANG, Guo-Ping WANG, A review on image-based rendering Virtual Reality & Intelligent Hardware 2019, 1(1): 39-54

15. Shiguang QIU, Shuntao LIU, Deshuai KONG, Qichang HE, Three-dimensional virtual-real mapping of aircraft autom-atic spray operation and online simulation monitoring Virtual Reality & Intelligent Hardware 2019, 1(6): 611-621

16. Xu PENG, Zhenyu GAO, Yitong DING, Dongfeng ZHAO, Xiaoyu CHI, Study of ghost image suppression in polarized catadioptric virtual reality optical systems Virtual Reality & Intelligent Hardware 2020, 2(1): 70-78

17. Zhiming HU, Sheng LI, Meng GAI, Temporal continuity of visual attention for future gaze prediction in immersive virtual reality Virtual Reality & Intelligent Hardware 2020, 2(2): 142-152

18. Lihui HUANG, Siti Faatihah Binte Mohd TAIB, Ryan Aung BA, Zhe An GOH, Mengshan XU, Virtual reality research and development in NTU Virtual Reality & Intelligent Hardware 2020, 2(5): 394-408

19. Stéphanie PHILIPPE, Alexis D. SOUCHET, Petros LAMERAS, Panagiotis PETRIDIS, Julien CAPORAL, Gildas COLDEBOEUF, Hadrien DUZAN, Multimodal teaching, learning and training in virtual reality: a review and case study Virtual Reality & Intelligent Hardware 2020, 2(5): 421-442

20. Jia Ming LEE, Xinxing XIA, Clemen OW, Felix CHUA, Yunqing GUAN, VEGO: A novel design towards customizable and adjustable head-mounted display for VR Virtual Reality & Intelligent Hardware 2020, 2(5): 443-453

21. Jingcheng QIAN, Yancong MA, Zhigeng PAN, Xubo YANG, Effects of Virtual-real fusion on immersion, presence, and learning performance in laboratory education Virtual Reality & Intelligent Hardware 2020, 2(6): 569-584

22. Hengwei XU, Siru LI, Wenpeng SONG, Jiajun SUN, Xinli WU, Xiaoqi WANG, Wenzhen YANG, Zhigeng PAN, Abdennour EI RHALIBI, Thermal perception method of virtual chemistry experiments Virtual Reality & Intelligent Hardware 2020, 2(4): 305-315

23. TJ MATTHEWS, Feng TIAN, Tom DOLBY, Interaction design for paediatric emergency VR training Virtual Reality & Intelligent Hardware 2020, 2(4): 330-344

24. Hongxin ZHANG, Jin ZHANG, Xue YIN, Kan ZHOU, Zhigeng PAN, Abdennour EI RHALIBI, Cloud-to-end rendering and storage management for virtual reality in experimental education Virtual Reality & Intelligent Hardware 2020, 2(4): 368-380

25. Xiang ZHOU, Liyu TANG, Ding LIN, Wei HAN, Virtual & augmented reality for biological microscope in experiment education Virtual Reality & Intelligent Hardware 2020, 2(4): 316-329

26. Haoyu WANG, Jianhuang WU, A virtual reality based surgical skills training simulator for catheter ablation with real-time and robust interaction Virtual Reality & Intelligent Hardware 2021, 3(4): 302-314

27. Na ZHANG, Liwen TAN, Fengying LI, Bing HAN, Yifa XU, Development and application of digital assistive teaching system for anatomy Virtual Reality & Intelligent Hardware 2021, 3(4): 315-335

28. Daniel VANKOV, David JANKOVSZKY, Effects of using headset-delivered virtual reality in road safety research: A systematic review of empirical studies Virtual Reality & Intelligent Hardware 2021, 3(5): 351-368

29. Dangxiao WANG, Yuan GUO, Shiyi LIU, Yuru ZHANG, Weiliang XU, Jing XIAO, Haptic display for virtual reality: progress and challenges Virtual Reality & Intelligent Hardware 2019, 1(2): 136-162

30. Aiguo SONG, Liyue FU, Multi-dimensional force sensor for haptic interaction: a review Virtual Reality & Intelligent Hardware 2019, 1(2): 121-135

31. Wenmin ZHU, Xiumin FAN, Yanxin ZHANG, Applications and research trends of digital human models in the manufacturing industry Virtual Reality & Intelligent Hardware 2019, 1(6): 558-579

32. Mohammad Mahmudul ALAM, S. M. Mahbubur RAHMAN, Affine transformation of virtual 3D object using 2D localization of fingertips Virtual Reality & Intelligent Hardware 2020, 2(6): 534-555

33. Yuan WEI, Dongdong GUAN, Qiuchen WANG, Xiangxian LI, Yulong BIAN, Pu QIN, Yanning XU, Chenglei YANG, Virtual fire drill system supporting co-located collaboration Virtual Reality & Intelligent Hardware 2019, 1(3): 290-302