Abstract
The deterioration of motor skills in lower limbs represents a reduction in people’s quality of life. This paper presents a virtual goniometer developed by the 3 Space Mocap sensors and Unity 3D software. The system shows lower limbs angles in real-time. This system helps physiatrists determine the movements of hip and knee and was compared with a goniometer to corroborate the system performance. To validate this prototype, comparative tests are carried out present a standard deviation of 1.86° and 2.12° in the left hip and knee respectively. Therefore, it confirms to be a reliable proposal for physical evaluations of lower limbs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, S., Xu, L.D., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2015)
Gretzel, U., Sigala, M., Xiang, Z., Koo, Ch.: Smart tourism: foundations and developments. Electron. Mark. 25(3), 179–188 (2015)
Gretzel, U., Werthner, H., Koo, Ch., Lamsfusd, C.: Conceptual foundations for understanding smart tourism ecosystems. Comput. Hum. Behav. 50, 558–563 (2015)
Pourzolfaghar, Z., Helfert, M., Melo, V.A.B., Khalilijafarabad, A.: Proposing an access gate to facilitate knowledge exchange for smart city services. In: 2017 IEEE International Conference on Big Data (Big Data), Boston, pp. 4117–4122. IEEE (2017)
Salazar, F.W., Núñez, F., Buele, J., Jordán, E.P., Barberán, J.: Design of an ergonomic prototype for physical rehabilitation of people with paraplegia. In: Advances in Intelligent Systems, vol. 1078. Springer (2020)
Bozcuoğlu, A.K., et al.: The exchange of knowledge using cloud robotics. IEEE Robot. Autom. Lett. 3(2), 1072–1079 (2018)
Gang, K., Ravichandran, T.: Exploring the determinants of knowledge exchange in virtual communities. IEEE Trans. Eng. Manage. 62(1), 89–99 (2015)
Takenouchi, H., Tokumaru, M.: Wrist watch design system with interactive evolutionary computation. In: Stephanidis, C. (ed.) HCI International 2017 – Posters’ Extended Abstracts, HCI 2017. Communications in Computer and Information Science, vol. 714. Springer, Cham (2017)
Tong, X., Kitson, A., Salimi, M., Fracchia, D., Gromala, D., Riecke, B.: Exploring embodied experience of flying in a virtual reality game with Kinect. In: 2016 IEEE International Workshop on Mixed Reality Art (MRA), Greenville, pp. 5–6. IEEE (2016)
Nguyen-Vo, T., Riecke, B.E., Stuerzlinger, W.: Moving in a box: improving spatial orientation in virtual reality using simulated reference frames. In: 2017 IEEE Symposium on 3D User Interfaces (3DUI), Los Angeles, pp. 207–208. IEEE (2017)
Wu, C.M., Hsu, C.W., Lee, T.K., Smith, S.: A virtual reality keyboard with realistic haptic feedback in a fully immersive virtual environment. Virtual Reality 21(1), 19–29 (2017)
Fairchild, A.J., Campion, S.P., García, A.S., Wolff, R., Fernando, T., Roberts, D.J.: A mixed reality telepresence system for collaborative space operation. IEEE Trans. Circuits Syst. Video Technol. 27(4), 814–827 (2017)
Pilatásig, M., et al.: Interactive system for hands and wrist rehabilitation. In: Advances in Intelligent Systems and Computing, vol. 721. Springer (2018)
Varela-Aldás, J., Palacios-Navarro, G., García-Magariño, I.: Immersive virtual reality app for mild cognitive impairment. Rev. Ibérica Sist. e Tecnol. Informação. E19, 278–290 (2019)
Galarza, E.E., Pilatasig, M., Galarza, E.D., López, V.M., Zambrano, P.A., Buele, J., Espinoza, J.: Virtual reality system for children lower limb strengthening with the use of electromyographic sensors. In: Lecture Notes in Computer Science, vol. 11241. Springer (2018)
Andrea Sánchez, Z., Santiago Alvarez, T., Roberto Segura, F., Tomás Núñez, C., Urrutia-Urrutia, P., Franklin Salazar, L., Altamirano, S., Buele, J.: Virtual rehabilitation system using electromyographic sensors for strengthening upper extremities. In: Rocha, Á., Pereira, R. (eds.) Developments and Advances in Defense and Security. Smart Innovation, Systems and Technologies, vol. 152. Springer, Singapore (2020)
Pruna, E., et al.: Implementation of a multipoint virtual goniometer (MVG) trough Kinect-2 for evaluation of the upper limbs. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds.) Recent Advances in Information Systems and Technologies, WorldCIST 2017. Advances in Intelligent Systems and Computing, vol. 570. Springer, Cham (2017)
Otter, S.J., et al.: The reliability of a smartphone goniometer application compared with a traditional goniometer for measuring first metatarsophalangeal joint dorsiflexion. J. Foot Ankle Res. 8(30), 1–7 (2015)
Resende, T., et al.: Universal goniometer and smartphone app for evaluation of elbow joint motion: reproducibility analysis. In: 2017 International Conference on Virtual Rehabilitation (ICVR), Montreal, pp. 1–2. IEEE (2017)
Domínguez, G., Cardiel, E., Arias, S., Rogeli, P.: A digital goniometer based on encoders for measuring knee-joint position in an orthosis. In: 2013 World Congress on Nature and Biologically Inspired Computing (NaBIC), Fargo, pp. 1–4. IEEE (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Buele, J., Pilatásig, M., Angueta, H., Ruales, B., Varela-Aldás, J. (2020). Virtual Goniometer Using 3 Space Mocap Sensors for Lower Limbs Evaluation. In: Rocha, Á., Ferrás, C., Montenegro Marin, C., Medina García, V. (eds) Information Technology and Systems. ICITS 2020. Advances in Intelligent Systems and Computing, vol 1137. Springer, Cham. https://doi.org/10.1007/978-3-030-40690-5_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-40690-5_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40689-9
Online ISBN: 978-3-030-40690-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)