Tangible and Mid-Air Interactions in Hand-Held Augmented Reality for Upper Limb Rehabilitation: An Evaluation of User Experience and Motor Performance

References

• Alamri, A., Cha, J., & El Saddik, A. (2010). AR-REHAB: An augmented reality framework for poststroke-patient rehabilitation. IEEE Transactions on Instrumentation and Measurement, 59(10), 2554–2563. https://doi.org/10.1109/TIM.2010.2057750
   Web of Science ®Google Scholar
• Alsuradi, H., Pawar, C., Park, W., & Eid, M. (2020, March). Detection of tactile feedback on touch-screen devices using EEG data. In 2020 IEEE Haptics Symposium (HAPTICS) (pp. 775–780). IEEE.
   Google Scholar
• Bai, H., Lee, G. A., Ramakrishnan, M., & Billinghurst, M. (2014). 3D gesture interaction for handheld augmented reality. In SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/2669062.2669073
   Google Scholar
• Baigi, S. F. M., Sarbaz, M., Ghaddaripouri, K., Noori, N., & Kimiafar, K. (2022). The effect of tele-rehabilitation on improving physical activity in patients with chronic obstructive pulmonary disease: A systematic review of randomized controlled clinical trials. Frontiers in Health Informatics, 11(1), 113. https://doi.org/10.30699/fhi.v11i1.359
   Google Scholar
• Bozgeyikli, E., & Bozgeyikli, L. L. (2021). Evaluating object manipulation interaction techniques in mixed reality: Tangible user interfaces and gesture. In 2021 IEEE Virtual Reality and 3D User Interfaces (VR) (pp. 778–787). IEEE.
   Google Scholar
• Burke, J. W., McNeill, M. D. J., Charles, D. K., Morrow, P. J., Crosbie, J. H., & McDonough, S. M. (2010). Augmented reality games for upper-limb stroke rehabilitation. In 2010 Second International Conference on Games and Virtual Worlds for Serious Applications (pp. 75–78). IEEE.
   Google Scholar
• Calabrò, R. S., Naro, A., Russo, M., Leo, A., De Luca, R., Balletta, T., Buda, A., La Rosa, G., Bramanti, A., & Bramanti, P. (2017). The role of virtual reality in improving motor performance as revealed by EEG: A randomized clinical trial. Journal of Neuroengineering and Rehabilitation, 14(1), 53. https://doi.org/10.1186/s12984-017-0268-4
   PubMed Web of Science ®Google Scholar
• Cao, Q., Yu, H., Charisse, P., Qiao, S., & Stevens, B. (2023). Is high-fidelity important for human-like virtual avatars in human-computer interactions? International Journal of Network Dynamics and Intelligence, 2(1), 15–23. https://doi.org/10.53941/ijndi0201008
   Google Scholar
• Chang, E., Lee, Y., & Yoo, B. (2023). A user study on the comparison of view interfaces for VR-AR communication in XR remote collaboration. International Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2023.2241294
   Web of Science ®Google Scholar
• Chang, H. J., Huang, K., & Wu, C. (2006). Determination of sample size in using central limit theorem for Weibull distribution. International Journal of Information and Management Sciences, 17(3), 153–174.
   Google Scholar
• Chang, H. J., Wu, C. H., Ho, J. F., & Chen, P. Y. (2008). On sample size in using central limit theorem for gamma distribution. Information and Management Sciences, 19(1), 153–174.
   Google Scholar
• Chessa, M., Maiello, G., Klein, L. K., Paulun, V. C., & Solari, F. (2019). Grasping objects in immersive virtual reality. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 1749–1754). IEEE.
   Google Scholar
• Clark, W. E., Sivan, M., & O'Connor, R. J. (2019). Evaluating the use of robotic and virtual reality rehabilitation technologies to improve function in stroke survivors: A narrative review. Journal of Rehabilitation and Assistive Technologies Engineering, 6, 2055668319863557. https://doi.org/10.1177/2055668319863557
   Google Scholar
• Condino, S., Turini, G., Viglialoro, R., Gesi, M., & Ferrari, V. (2019). Wearable augmented reality application for shoulder rehabilitation. Electronics, 8(10), 1178. https://doi.org/10.3390/electronics8101178
   Web of Science ®Google Scholar
• Düwel, T., Herbig, N., Kahl, D., & Krüger, A. (2020). Combining embedded computation and image tracking for composing tangible augmented reality. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–7). Association for Computing Machinery. https://doi.org/10.1145/3334480.3383043
   Google Scholar
• Duerler, P., Brem, S., Fraga-González, G., Neef, T., Allen, M., Zeidman, P., Stämpfli, P., Vollenweider, F. X., & Preller, K. H. (2022). Psilocybin induces aberrant prediction error processing of tactile mismatch responses—a simultaneous EEG–fMRI study. Cerebral Cortex, 32(1), 186–196. https://doi.org/10.1093/cercor/bhab202
   Web of Science ®Google Scholar
• Elor, A., Kurniawan, S., & Teodorescu, M. (2018). Towards an immersive virtual reality game for smarter post-stroke rehabilitation. In 2018 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 219–225). IEEE.
   Google Scholar
• Figeys, M., Koubasi, F., Hwang, D., Hunder, A., Miguel-Cruz, A., & Ríos Rincón, A. (2023). Challenges and promises of mixed-reality interventions in acquired brain injury rehabilitation: A scoping review. International Journal of Medical Informatics, 179, 105235. https://doi.org/10.1016/j.ijmedinf.2023.105235
   PubMed Web of Science ®Google Scholar
• Fritz, D., Mossel, A., & Kaufmann, H. (2014). Evaluating RGB + D hand posture detection methods for mobile 3D interaction. In Proceedings of the 2014 Virtual Reality International Conference (pp. 1–4). Association for Computing Machinery.
   Google Scholar
• Garcia Hernandez, N. V., Buccelli, S., Laffranchi, M., & De Michieli, L. (2023). Mixed reality-based Exergames for upper limb robotic rehabilitation. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (pp. 447–451). Association for Computing Machinery. https://doi.org/10.1145/3568294.3580124
   Google Scholar
• Geng, S., Zhu, C., Jin, Y., Wang, L., & Tan, H. (2022). Gaze control system for tracking Quasi-1D high-speed moving object in complex background. Systems Science & Control Engineering, 10(1), 367–376. https://doi.org/10.1080/21642583.2022.2063204
   Web of Science ®Google Scholar
• Gianola, S., Stucovitz, E., Castellini, G., Mascali, M., Vanni, F., Tramacere, I., Banfi, G., & Tornese, D. (2020). Effects of early virtual reality-based rehabilitation in patients with total knee arthroplasty: A randomized controlled trial. Medicine, 99(7), e19136. https://doi.org/10.1097/MD.0000000000019136
   PubMed Web of Science ®Google Scholar
• Gorman, C., & Gustafsson, L. (2022). The use of augmented reality for rehabilitation after stroke: A narrative review. Disability and Rehabilitation-Assistive Technology, 17(4), 409–417. https://doi.org/10.1080/17483107.2020.1791264
   PubMed Web of Science ®Google Scholar
• Guo, S., Li, L., Liu, H., Wu, S., Zheng, Y., & Niu, J. (2023). Bimanual asymmetric coordination in a three-dimensional zooming task based on leap motion: Implications for upper limb rehabilitation. International Journal of Human–Computer Interaction, 40(8), 1931–1942. https://doi.org/10.1080/10447318.2023.2242728
   Web of Science ®Google Scholar
• Ha, T., & Woo, W. (2010). An empirical evaluation of virtual hand techniques for 3D object manipulation in a tangible augmented reality environment. In 2010 IEEE Symposium on 3D User Interfaces (3DUI) (pp. 91–98). IEEE.
   Google Scholar
• Han, D. T., Suhail, M., & Ragan, E. D. (2018). Evaluating remapped physical reach for hand interactions with passive haptics in virtual reality. IEEE Transactions on Visualization and Computer Graphics, 24(4), 1467–1476. https://doi.org/10.1109/TVCG.2018.2794659
   PubMed Web of Science ®Google Scholar
• Hayre, C. M., Muller, D. J., & Scherer, M. J. (2020). Virtual reality in health and rehabilitation. CRC Press.
   Google Scholar
• Hettiarachchi, A., & Wigdor, D. (2016). Annexing reality: Enabling opportunistic use of everyday objects as tangible proxies in augmented reality. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 1957–1967). Association for Computing Machinery.
   Google Scholar
• Höll, M., Oberweger, M., Arth, C., & Lepetit, V. (2018). Efficient physics-based implementation for realistic hand-object interaction in virtual reality. In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 175–182). IEEE.
   Google Scholar
• Hossain, M. S., Hardy, S., Alamri, A., Alelaiwi, A., Hardy, V., & Wilhelm, C. (2016). AR-based serious game framework for post-stroke rehabilitation. Multimedia Systems, 22(6), 659–674. https://doi.org/10.1007/s00530-015-0481-6
   Web of Science ®Google Scholar
• Hussain, M., & Park, J. (2023). Effect of transparency levels and real-world backgrounds on the user interface in augmented reality environments. International Journal of Human–Computer Interaction, 1–10. https://doi.org/10.1080/10447318.2023.2212218
   Web of Science ®Google Scholar
• Hurd, O., Kurniawan, S., & Teodorescu, M. (2019). Virtual reality video game paired with physical monocular blurring as accessible therapy for amblyopia. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 492–499). IEEE.
   Google Scholar
• Jobst, B. C., Williamson, P. D., Thadani, V. M., Gilbert, K. L., Holmes, G. L., Morse, R. P., Darcey, T. M., Duhaime, A.-C., Bujarski, K. A., & Roberts, D. W. (2010). Intractable occipital lobe epilepsy: Clinical characteristics and surgical treatment. Epilepsia, 51(11), 2334–2337. https://doi.org/10.1111/j.1528-1167.2010.02673.x
   PubMed Web of Science ®Google Scholar
• Kao, S. C., Huang, C. J., & Hung, T. M. (2013). Frontal midline theta is a specific indicator of optimal attentional engagement during skilled putting performance. Journal of Sport & Exercise Psychology, 35(5), 470–478. https://doi.org/10.1123/jsep.35.5.470
   PubMed Web of Science ®Google Scholar
• Kim, H., & Park, J. M. (2023). Providing dual awareness using multimodal cues for collaborative manipulation in virtual environments. International Journal of Human–Computer Interaction, 1–15. https://doi.org/10.1080/10447318.2023.2188533
   Web of Science ®Google Scholar
• Kim, K., Choi, B., & Lim, W. (2019). The efficacy of virtual reality assisted versus traditional rehabilitation intervention on individuals with functional ankle instability: A pilot randomized controlled trial. Disability and Rehabilitation. Assistive Technology, 14(3), 276–280. https://doi.org/10.1080/17483107.2018.1429501
   PubMed Web of Science ®Google Scholar
• Kratz, S., Rohs, M., Guse, D., Müller, J., Bailly, G., Nischt, M. (2012). PalmSpace: Continuous around-device gestures vs. multitouch for 3D rotation tasks on mobile devices. In Proceedings of the International Working Conference on Advanced Visual Interfaces (pp. 181–188). Association for Computing Machinery.
   Google Scholar
• Kwon, E., Kim, G. J., Lee, S. (2009). Effects of sizes and shapes of props in tangible augmented reality. In 2009 8th IEEE International Symposium on Mixed and Augmented Reality (pp. 201–202.). IEEE.
   Google Scholar
• Li, J., & Jin, Y. (2022). Research on the control strategy of active upper limb rehabilitation robot based on force feedback. Rehabilitation, 4(7), 35–40. https://doi.org/10.25236/IJFET.2022.040708
   Google Scholar
• Linder, S. M., Rosenfeldt, A. B., Bay, R. C., Sahu, K., Wolf, S. L., & Alberts, J. L. (2015). Improving quality of life and depression after stroke through telerehabilitation. The American Journal of Occupational Therapy, 69(2), 6902290020p1–6902290020p10. https://doi.org/10.5014/ajot.2015.014498
   PubMed Web of Science ®Google Scholar
• Liu, J., Mei, J., Zhang, X., Lu, X., & Huang, J. (2017). Augmented reality-based training system for hand rehabilitation. Multimedia Tools and Applications, 76(13), 14847–14867. https://doi.org/10.1007/s11042-016-4067-x
   Web of Science ®Google Scholar
• Mitchell, J., Shirota, C., & Clanchy, K. (2023). Factors that influence the adoption of rehabilitation technologies: A multi-disciplinary qualitative exploration. Journal of Neuroengineering and Rehabilitation, 20(1), 80. https://doi.org/10.1186/s12984-023-01194-9
   PubMed Web of Science ®Google Scholar
• Ocampo, R., & Tavakoli, M. (2019). Visual-haptic colocation in robotic rehabilitation exercises using a 2D augmented-reality display. In 2019 International Symposium on Medical Robotics (ISMR) (pp. 1–7). IEEE.
   Google Scholar
• Oliveira, S. M. S. d., Medeiros, C. S. P. d., Pacheco, T. B. F., Bessa, N. P. O. S., Silva, F. G. M., Tavares, N. S. A., Rego, I. A. O., Campos, T. F., & Cavalcanti, F. A. d C. (2018). Electroencephalographic changes using virtual reality program. Neurological Research, 40(3), 160–165. https://doi.org/10.1080/01616412.2017.1420584
   PubMed Web of Science ®Google Scholar
• Ortega, E. V., Aksöz, E. A., Buetler, K. A., & Marchal-Crespo, L. (2022). Enhancing touch sensibility by sensory retraining in a sensory discrimination task via haptic rendering. Frontiers in Rehabilitation Sciences, 3, 929431. https://doi.org/10.3389/fresc.2022.929431
   PubMedGoogle Scholar
• Palmisano, S., Allison, R. S., Davies, R. G., Wagner, P., & Kim, J. (2023). Effects of constant and time-varying display lag on DVP and cybersickness when making head-movements in virtual reality. International Journal of Human–Computer Interaction, 1–18. https://doi.org/10.1080/10447318.2023.2291613
   Web of Science ®Google Scholar
• Phelan, I., Furness, P. J., Matsangidou, M., Carrion-Plaza, A., Dunn, H., Dimitri, P., & Lindley, S. A. (2023). Playing your pain away: Designing a virtual reality physical therapy for children with upper limb motor impairment. Virtual Reality, 27(1), 173–185. https://doi.org/10.1007/s10055-021-00522-5
   PubMed Web of Science ®Google Scholar
• Piumsomboon, T., Altimira, D., Kim, H., Clark, A., Lee, G., & Billinghurst, M. (2014). Grasp-shell vs gesture-speech: A comparison of direct and indirect natural interaction techniques in augmented reality. In 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 73–82). IEEE.
   Google Scholar
• Ramírez, E. R., Petrie, R., Chan, K., Signal, N. (2018). A tangible interface and augmented reality game for facilitating sit-to-stand exercises for stroke rehabilitation. In Proceedings of the 8th International Conference on the Internet of Things (pp. 1–4). Association for Computing Machinery. https://doi.org/10.1145/3277593.3277635
   Google Scholar
• Rogers, J. M., Jensen, J., Valderrama, J. T., Johnstone, S. J., & Wilson, P. H. (2021). Single-channel EEG measurement of engagement in virtual rehabilitation: A validation study. Virtual Reality, 25(2), 357–366. https://doi.org/10.1007/s10055-020-00460-8
   Web of Science ®Google Scholar
• Roosink, M., Robitaille, N., McFadyen, B. J., Hébert, L. J., Jackson, P. L., Bouyer, L. J., & Mercier, C. (2015). Real-time modulation of visual feedback on human full-body movements in a virtual mirror: Development and proof-of-concept. Journal of Neuroengineering and Rehabilitation, 12(1), 2. https://doi.org/10.1186/1743-0003-12-2
   PubMedGoogle Scholar
• Rui, Z., & Gu, Z. (2021). A review of EEG and fMRI measuring aesthetic processing in visual user experience research. Computational Intelligence and Neuroscience, 2021, 2070209–2070227. https://doi.org/10.1155/2021/2070209
   PubMed Web of Science ®Google Scholar
• Rui, Z., Chang, D., & Gu, Z. (2023). Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface. International Journal of Human-Computer Studies, 177, 103066. https://doi.org/10.1016/j.ijhcs.2023.103066
   Web of Science ®Google Scholar
• Rui, Z., & Gu, Z. (2023). Use of event-related potentials to assess visual–auditory multisensory information in the decision-making processes related to fast-consuming behavior. International Journal of Human–Computer Interaction, 1–24. https://doi.org/10.1080/10447318.2023.2260983
   Web of Science ®Google Scholar
• Samaha, J., Boutonnet, B., Postle, B. R., & Lupyan, G. (2018). Effects of meaningfulness on perception: Alpha-band oscillations carry perceptual expectations and influence early visual responses. Scientific Reports, 8(1), 6606. https://doi.org/10.1038/s41598-018-25093-5
   PubMedGoogle Scholar
• Sarfo, F. S., Adamu, S., Awuah, D., & Ovbiagele, B. (2017). Tele-neurology in sub-Saharan Africa: A systematic review of the literature. Journal of the Neurological Sciences, 380, 196–199. https://doi.org/10.1016/j.jns.2017.07.037
   PubMed Web of Science ®Google Scholar
• Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Design and evaluation of a short version of the user experience questionnaire (UEQ-S). International Journal of Interactive Multimedia and Artificial Intelligence, 4(6), 103–108. https://doi.org/10.9781/ijimai.2017.09.001
   Web of Science ®Google Scholar
• Shi, J., Wang, J., Lang, J., Zhang, Z., Bi, Y., Liu, R., Jiang, S., & Hou, L. (2020). Effect of different motor skills training on motor control network in the frontal lobe and basal ganglia. Biology of Sport, 37(4), 405–413. https://doi.org/10.5114/biolsport.2020.96855
   PubMed Web of Science ®Google Scholar
• Shi, Y. X., Tian, J. H., Yang, K. H., & Zhao, Y. (2011). Modified constraint-induced movement therapy versus traditional rehabilitation in patients with upper-extremity dysfunction after stroke: A systematic review and meta-analysis. Archives of Physical Medicine and Rehabilitation, 92(6), 972–982. https://doi.org/10.1016/j.apmr.2010.12.036
   PubMed Web of Science ®Google Scholar
• Specht, J., Schroeder, H., Krakow, K., Meinhardt, G., Stegmann, B., & Meinhardt-Injac, B. (2021). Acceptance of immersive head-mounted display virtual reality in stroke patients. Computers in Human Behavior Reports, 4, 100141. https://doi.org/10.1016/j.chbr.2021.100141
   Google Scholar
• Sterna, R., Cybulski, A., Igras-Cybulska, M., Pilarczyk, J., Segiet, N., & Kuniecki, M. (2023). How Behavioral, photographic, and interactional realism influence the sense of co-presence in VR. An investigation with psychophysiological measurement. International Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2023.2285641
   Web of Science ®Google Scholar
• Sun, W., Huang, M., Wu, C., & Yang, R. (2022a). Exploring virtual object translation in head-mounted augmented reality for upper limb motor rehabilitation with motor performance and eye movement characteristics. In Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (pp. 1–3). Association for Computing Machinery. https://doi.org/10.1145/3526114.3558734
   Google Scholar
• Sun, W., Huang, M., Wu, C., & Yang, R. (2022b). Sense of agency on handheld AR for virtual object translation. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 838–839). IEEE.
   Google Scholar
• Sun, W., Huang, M., Wu, C., Yang, R., Han, J., & Yue, Y. (2023a). Evaluating the feeling of control in virtual object translation on 2D interfaces. AI Edam, 37, e9. https://doi.org/10.1017/S0890060423000033
   Google Scholar
• Sun, W., Huang, M., Yang, R., Han, J., & Yue, Y. (2021). Mental workload evaluation of virtual object manipulation on WebVR: An EEG study. In 2021 14th International Conference on Human System Interaction (HSI) (pp. 1–6). IEEE.
   Google Scholar
• Sun, X., Ding, J., Dong, Y., Ma, X., Wang, R., Jin, K., Zhang, H., & Zhang, Y. (2023b). A survey of technologies facilitating home and community-based stroke rehabilitation. International Journal of Human–Computer Interaction, 39(5), 1016–1042. https://doi.org/10.1080/10447318.2022.2050545
   Web of Science ®Google Scholar
• Tawara, T., & Ono, K. (2010). A framework for volume segmentation and visualization using augmented reality. In 2010 IEEE Symposium on 3D User Interfaces (3DUI) (pp. 121–122). IEEE. https://doi.org/10.1109/3DUI.2010.5444707
   Google Scholar
• Van den Bussche, E., Alves, M., Murray, Y. P., & Hughes, G. (2020). The effect of cognitive effort on the sense of agency. PLOS One, 15(8), e0236809. https://doi.org/10.1371/journal.pone.0236809
   PubMed Web of Science ®Google Scholar
• Vaquero-Melchor, D., & Bernardos, A. M. (2019). Enhancing interaction with augmented reality through mid-air haptic feedback: Architecture design and user feedback. Applied Sciences, 9(23), 5123. https://doi.org/10.3390/app9235123
   Google Scholar
• Viglialoro, R. M., Turini, G., Carbone, M., Condino, S., Mamone, V., Coluccia, N., Dell’Agli, S., Morucci, G., Ryskalin, L., Ferrari, V., & Gesi, M. (2023). A projected AR serious game for shoulder rehabilitation using hand-finger tracking and performance metrics: A preliminary study on healthy subjects. Electronics, 12(11), 2516. https://doi.org/10.3390/electronics12112516
   Web of Science ®Google Scholar
• Viglialoro, R. M., Condino, S., Turini, G., Carbone, M., Ferrari, V., & Gesi, M. (2021). Augmented reality, mixed reality, and hybrid approach in healthcare simulation: A systematic review. Applied Sciences, 11(5), 2338. https://doi.org/10.3390/app11052338
   Google Scholar
• Viglialoro, R. M., Condino, S., Turini, G., Carbone, M., Ferrari, V., & Gesi, M. (2019). Review of the augmented reality systems for shoulder rehabilitation. Information, 10(5), 154. https://doi.org/10.3390/info10050154
   Google Scholar
• Wang, L., Huang, M., Yang, R., Qin, C., Han, J., & Liang, H. N. (2023). Effect of reaching movement modulation on experience of control in virtual reality. International Journal of Human–Computer Interaction, 1–18. https://doi.org/10.1080/10447318.2023.2290382
   Web of Science ®Google Scholar
• Wang, L., Huang, M., Wang, Y., Yang, R., Liao, K. L., Zhang, J., & Sun, W. (2021). Movement modulation in virtual rehabilitation: its influence on agency and motor performance. In 2021 IEEE 9th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1–8). IEEE.
   Google Scholar
• Wang, L., Huang, M., Yang, R., Liang, H. N., Han, J., & Sun, Y. (2022). Survey of movement reproduction in immersive virtual rehabilitation. IEEE Transactions on Visualization and Computer Graphics, 29(4), 2184–2202. https://doi.org/10.1109/TVCG.2022.3142198
   Web of Science ®Google Scholar
• Wang, D., Shi, S., Lu, J., Hu, Z., & Chen, J. (2023). Research on gas pipeline leakage model identification driven by digital twin. Systems Science & Control Engineering, 11(1), 2180687. https://doi.org/10.1080/21642583.2023.2180687
   Web of Science ®Google Scholar
• Wedyan, M., Al-Jumaily, A., & Dorgham, O. (2020). The use of augmented reality in the diagnosis and treatment of autistic children: A review and a new system. Multimedia Tools and Applications, 79(25–26), 18245–18291. https://doi.org/10.1007/s11042-020-08647-6
   Web of Science ®Google Scholar
• Wei, W., McElroy, C., & Dey, S. (2019). Towards on-demand virtual physical therapist: Machine learning-based patient action understanding, assessment, and task recommendation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(9), 1824–1835. https://doi.org/10.1109/TNSRE.2019.2934097
   PubMed Web of Science ®Google Scholar
• Wei, M., Huang, M., & Ni, J. (2023). Cross-subject EEG channel selection method for lower limb brain-computer interface. International Journal of Network Dynamics and Intelligence, 2(3), 100008. https://doi.org/10.53941/ijndi.2023.100008
   Google Scholar
• Wu, C., Sun, W., Huang, M., & Yang, R. (2023). Feeling of control for virtual object manipulation in handheld AR. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 623–624). IEEE.
   Google Scholar
• Xu, N., Li, Y., Wei, X., Xie, L., Yu, L., & Liang, H. N. (2023). CubeMuseum AR: A tangible augmented reality interface for cultural heritage learning and museum gifting. International Journal of Human–Computer Interaction, 40(6), 1409–1437.
   Web of Science ®Google Scholar
• Yang, Z., Jie, S., Shiqi, L., Ping, C., Shengjia, N. (2018). Tangible interactive upper limb training device. In Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems (pp. 1–5). Association for Computing Machinery. https://doi.org/10.1145/3197391.3205403
   Google Scholar
• Ying, W., & Aimin, W. (2017). Augmented reality-based upper limb rehabilitation system. In 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) (pp. 426–430). IEEE.
   Google Scholar
• Yu, N., Yang, R., & Huang, M. (2022). Deep common spatial pattern based motor imagery classification with improved objective function. International Journal of Network Dynamics and Intelligence, 1(1), 73–84. https://doi.org/10.53941/ijndi0101007
   Google Scholar
• Zhang, W., Su, C., & He, C. (2020). Rehabilitation exercise recognition and evaluation based on smart sensors with deep learning framework. IEEE Access, 8, 77561–77571. https://doi.org/10.1109/ACCESS.2020.2989128
   Web of Science ®Google Scholar
• Zheng, Q., Wang, L., Ke, W., & Im, S. K. (2023). VVIR-OM: Efficient object manipulation in VR with variable virtual interaction region. International Journal of Human–Computer Interaction, 1–14. https://doi.org/10.1080/10447318.2023.2286126
   Web of Science ®Google Scholar