Abstract
Currently, the number of elderly is continuously increasing and by 2020 in Thailand, the population of 60 years is one in six of the total population. Therefore, encouraging the elderly to take care of themselves will help make them live longer and have a good quality of life. Physical therapy is a method of treating the abnormal movement of the body and it must be performed regularly in order for the body to be continuously refreshed. Often, the elderly do not receive proper physical therapy due to travel difficulties and high cost of treatment. Hence, this research studied the possibility of using Kinect technology in the physical therapy program to help the physiotherapist properly. This study was quasi-experimental research using simple random sampling. All participants were interviewed for their demographic information and examined according to the five-arm muscle exercises. The results of the motion detection experiment using the Kinect camera and the experimental physical therapy program using the Kinect device show that Kinect can detect the movement very well and physiotherapy programs with Kinect devices help users perform more accurate physiotherapy compared to doing physical therapy. The data were analyzed by the mean, standard deviation. The results meant that physical therapy Application based on Kinect for Elderly could improve physical fitness and they have a positive effect on balance and thus on the quality of life.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kinect, Wikipedia. https://en.wikipedia.org/wiki/Kinect. Accessed 22 Nov 2019
Berger, K., Ruhl, K., Brummer, C., Schroder, Y., Scholz, A., Magnor, M.: Markerless motion capture using multiple color-depth sensors. In: 16th International Workshop on Vision, Modeling and Visualization, Berlin, Germany, 4–6 October 2011 (2011)
Saenz-de Urturi, Z., Garcia-Zapirain Soto, B.: Kinect-based virtual game for the elderly that detects incorrect body postures in real time. Sensors 16(5), 704 (2016)
Liu, Y., Stoll, C., Gall, J., Seidel, H., Theobalt, C.: Markerless motion capture of lnteracting characters using multi-view image segmentation. In: 24th IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, 20–25 June 2011, pp. 1249–1256 (2011)
Tachapetpatboon, N., Kularbphettong, K.: Ontology based knowledge management for cultural tourism. J. Theor. Appl. Inf. Technol. 75(3), 384–388 (2015)
Acknowledgments
Our thanks to Suan Sunandha Rajabhat University to support the scholarship for this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kularbphettong, K., Katesiri, S., Raksuntorn, N. (2020). Effects of the Physical Therapy Application for Elderly. In: Ahram, T., Taiar, R., Gremeaux-Bader, V., Aminian, K. (eds) Human Interaction, Emerging Technologies and Future Applications II. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1152. Springer, Cham. https://doi.org/10.1007/978-3-030-44267-5_70
Download citation
DOI: https://doi.org/10.1007/978-3-030-44267-5_70
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-44266-8
Online ISBN: 978-3-030-44267-5
eBook Packages: EngineeringEngineering (R0)