Abstract
Virtual Reality (VR) has been developed dramatically in recent years due to its benefits of providing an engaging and immersive environment. The objective of this study was to collect and critically analyze wearable sensors and equipment used in VR games, aiming at classifying wearable sensors according to the player’s key needs and the characteristics of the VR game. The review is organized according to three perspectives: the player’s needs, the player mode and the functional sensor modularization in a VR game. Our review work is useful for both researchers and educators to develop/integrate wearable sensors and equipment for improving a VR game player’s performance.
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References
Zyda, M.: From visual simulation to virtual reality to games. IEEE Comput. 38(9), 25–32 (2005)
State, A., Hirota, G., Chen, D.T., et al.: Superior augmented reality registration by integrating landmark tracking and magnetic tracking. In: Conference on Computer Graphics and Interactive Techniques, pp. 429–438. ACM (1996)
Gaitatzes, A., Papaioannou, G., Christopoulos, D.: Virtual reality systems and applications. In: Symposium on Virtual Reality Software and Technology, p. 384. ACM (2006)
Tyson, A.M., Duma, S.M., Rowson, S., et al.: Laboratory evaluation of low-cost wearable sensors for measuring head impacts in sports. J. Appl. Biomech. 34(4), 320–326 (2018)
Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tut. 15(3), 1192–1209 (2013)
Gawel, J.E.: Herzberg’s theory of motivation and Maslow’s hierarchy of needs. ERIC. AE Dig., p. 4, July 1997
Chittaro, L., Sioni, R.: Affective computing vs. affective placebo: study of a biofeedback-controlled game for relaxation training. Int. J. Hum Comput Stud. 72(8-9), 663–673 (2014)
Chen, P., Chen, C.C., Tsai, C.C., et al.: A time-to-digital-converter-based CMOS smart temperature sensor. IEEE J. Solid-State Circuits 40(8), 1642–1648 (2005)
Higashikaturagi, K., Nakahata, Y., Matsunami, I., et al.: Non-invasive respiration monitoring sensor using UWB-IR. In: IEEE International Conference on Ultra-Wideband, pp. 101–104 (2008)
Jones, P.E.: Three-dimensional input device with six degrees of freedom. IEEE ASME. Trans. Mechatron. 9(7), 717–729 (1999)
Dai, R., Stein, R.B., Andrews, B.J., et al.: Application of tilt sensors in functional electrical stimulation. IEEE Trans. Rehabil. Eng. 4(2), 63–72 (1996)
Goo, J.J., et al.: Effects of guided and unguided style learning on user attention in a virtual environment. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds.) Edutainment 2006. LNCS, vol. 3942, pp. 1208–1222. Springer, Heidelberg (2006). https://doi.org/10.1007/11736639_151
Kushida, T., Takefuta, H., Muramatsu, H.: Acceleration sensor: US, US5005412 (1991)
Cui, Z.G., Ai-Hua, L.I., Yan-Zhao, S.U., et al.: Collaborative object tracking algorithm in large FOV with binocular active vision sensors. J. Optoelectron. Laser 25(4), 784–791 (2014)
Le Thanh, T., Gagalowicz, A.: Virtual garment pre-positioning. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 837–845. Springer, Heidelberg (2005). https://doi.org/10.1007/11556121_103
Kim, W., Mechitov, K., Choi, J.Y., et al.: On target tracking with binary proximity sensors. In: International Symposium on Information Processing in Sensor Networks, p. 40. IEEE (2005)
Ferreira, A., Cassier, C., Hirai, S.: Automatic microassembly system assisted by vision servoing and virtual reality. IEEE-ASME Trans. Mechatron. 9(2), 321–333 (1960)
Friedl, K.E.: Military applications of soldier physiological monitoring. J. Sci. Med. Sport. 21(11), 1147–1153 (2018)
Jain, N., Wydra, A., Wen, H., et al.: Time-scaled interactive object-driven multi-party VR. Vis. Comput. 34(9), 1–11 (2018)
Menin, A., Torchelsen, R., Nedel, L.: An analysis of VR technology used in immersive simulations with a serious game perspective. IEEE Comput. Graph. Appl. 38(2), 57–73 (2018)
Crawford, E.: Virtual battlegrounds: direct participation in cyber warfare. SSEP (2013)
Eom, D.S., Kim, T., Jee, H., et al.: A multi-player arcade video game platform with a wireless tangible user interface. IEEE Trans. Consum. Electron. 54(4), 1819–1824 (2008)
Annie, G., Guyot-Mbodji, A., Demeure, I.: Gaming on the move: urban experience as a new paradigm for mobile pervasive game design. Multimed. Syst. 16(1), 43–55 (2010)
Mousa, M., Sharma, K., Claudel, C.G., et al.: Inertial measurement units-based probe vehicles: automatic calibration, trajectory estimation, and context detection. IEEE Trans. Intell. Transp. Syst. 19(10), 3133–3143 (2018)
Navarro, E., Gonzalez, P., Lopezjaquero, V., et al.: Adaptive, multisensorial, physiological and social: the next generation of telerehabilitation systems. Front. Neuroinform. 12, 43 (2018)
Haghi, M., Stoll, R., Thurow, K., et al.: A low-cost, standalone, and multi-tasking watch for personalized environmental monitoring. IEEE Trans. Biomed. Circuits Syst. 12(5), 1144–1154 (2018)
Zhai, J., Dong, S., Xing, Z., et al.: Geomagnetic sensor based on giant magnetoelectric effect. Appl. Phys. Lett. 91(12), 405 (2007)
Berger, K., Ruhl, K., Schroeder, Y., et al.: Markerless motion capture using multiple color-depth sensors. In: VMV, pp. 317–324 (2011)
Kasapakis, V., Gavalas, D.: Occlusion handling in outdoors augmented reality games. Multimed. Tools. Appl. 76, 1–26 (2016)
Hastenteufel, M., Vetter, M., Meinzer, H.P., et al.: Effect of 3D ultrasound probes on the accuracy of electromagnetic tracking systems. Ultrasound Med. Biol. 32(9), 1359–1368 (2006)
Larradet, F., Barresi, G., Mattos, L.S.: Effects of galvanic skin response feedback on user experience in gaze-controlled gaming: a pilot study. In: International Conference of the IEEE Engineering in Medicine & Biology Society, p. 2458 (2017)
Kahol, K.: Integrative gaming: a framework for sustainable game-based diabetes management. J. Diabetes Sci. Technol. 5(5), 293–300 (2011)
Liao, L.D., Chen, C.Y., Wang, I.J., et al.: Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors. J. Neuroeng. Rehabil. 9(1), 1–12 (2012)
Chen, Z., Lu, C.: Humidity sensors: a review of materials and mechanisms. Sens. Lett. 3(4), 274–295 (2005)
Chiang, C.T., Chang, C.M., Chang, C.C.: Design of an ultraviolet light intensity monitor for personally wearable devices digital object identifier inserted by IEEE. IEEE Sens. J. PP(99), 1 (2018)
Miller, E., Kaufman, K., Kingsbury, T., et al.: Mechanical testing for three-dimensional motion analysis reliability. Gait Posture 50, 116–119 (2016)
Vlasic, D., Adelsberger, R., Vannucci, G., et al.: Practical motion capture in everyday surroundings. ACM Trans. Graphics 26(3), 35 (2007)
Schnabel, U.H., Hegenloh, M., Müller, H.J., et al.: Electromagnetic tracking of motion in the proximity of computer generated graphical stimuli: a tutorial. Behav. Res. Methods 45(3), 696–701 (2013)
Aurand, A.M., Dufour, J.S., Marras, W.S.: Accuracy map of an optical motion capture system with 42 or 21 cameras in a large measurement volume. J. Biomech. 58, 237–240 (2017)
Kok, M., Jeroen, D.H., Thomas, B.S.: An optimization-based approach to human body motion capture using inertial sensors. IFAC Proc. Vol. 47(3), 79–85 (2014)
Wang, X., Xiao, L.: Gyroscope-reduced inertial navigation system for flight vehicle motion estimation. Adv. Space Res. 59(1), 413–424 (2017)
Chudecka, M., Lubkowska, A.: Temperature changes of selected body’s surfaces of handball players in the course of training estimated by thermovision, and the study of the impact of physiological and morphological factors on the skin temperature. J. Therm. Biol 35(8), 379–385 (2010)
Darzi, A., Gorsic, M., Novak, D.: Difficulty adaptation in a competitive arm rehabilitation game using real-time control of arm electromyogram and respiration. In: International Conference on Rehabilitation Robotics, pp. 857–862 (2017)
Watanabe, M., Yamamoto, T., Kambara, H., et al.: Evaluation of a game controller using human stiffness estimated from electromyogram. In: International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4626–4631 (2001)
Jennett, C., Cox, A.L., Cairns, P.A., et al.: Measuring and defining the experience of immersion in games. Int. J. Hum. Comput. Stud. 66(9), 641–661 (2008)
Wilcoxnetepczuk, D.: Immersion and realism in video games - the confused moniker of video game engrossment. In: International Conference on Computer Games, pp. 92–95 (2013)
Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 15(3), 1192–1209 (2013)
Chalmers, A., Debattista, K., Ramic-Brkic, B.: Towards high-fidelity multi-sensory virtual environments. Vis. Comput. 25(12), 1101–1108 (2009)
Groen, F.C.A., Pavlin, G., Winterboer, A., et al.: A hybrid approach to decision making and information fusion: combining humans and artificial agents. Robot. Auton. Syst. 90(C), 71–85 (2017)
Lee, S., Mase, K.: Activity and location recognition using wearable sensors. IEEE Pervasive Comput. 1(3), 24–32 (2002)
Mukhopadhyay, S.C.: Wearable sensors for human activity monitoring: a review. IEEE Sens. J. 15(3), 1321–1330 (2015)
Fuchs, P.: Théorie de la réalité virtuelle. Les véritables usages (A Theory of Virtual Reality: The Real Uses). Presses des Mines (2018)
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We would like to acknowledge the support of the Guangzhou Innovation and Entrepreneurship Leading Team Project under grant CXLJTD-201609.
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Cao, M., Xie, T., Chen, Z. (2019). Wearable Sensors and Equipment in VR Games: A Review. In: Pan, Z., Cheok, A., Müller, W., Zhang, M., El Rhalibi, A., Kifayat, K. (eds) Transactions on Edutainment XV. Lecture Notes in Computer Science(), vol 11345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59351-6_1
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