Smart exercise application to improve leg function and short-term memory through game-like lunge exercises: development and evaluation
Abstract
The purpose of this study was to evaluate the functionality, accuracy, and usability of a novel smart exercise application (SEA). The functionality such as counting lunges, providing task-related auditory feedback, and testing short-term memory was examined while thirteen young adults (6 men, age 25.4 ± 8.3 years) performed the lunge exercise with the SEA. The accuracy of logged motion data including angles and accelerations were also tested. Another twenty-five participants (11 men, age 23.2 ± 5.7 years) evaluated the usability of the SEA interest, motivation, convenience, and strength/cognitive benefit via a questionnaire. The SEA assessed the lunge motion correctly, provided auditory feedback, and tested users’ short-term memory as required. High correlations (r = 0.90 to 0.99) with low RMSE (4.85˚ for direction angle, 0.13 to 0.22 m/s2 for acceleration) were observed between the sensor output and the reference output. Bland-Altman plot also showed a low discrepancy between each of the two measures. Most participants positively answered all questions about interest (60%), motivation (40%), convenience (80%), strength benefits (92%), and cognitive benefits (88%) of the SEA. The SEA demonstrated accurate kinematic assessment of accelerations and directions, assessed the lunge motion correctly, and created the appropriate auditory feedback on the short-term memory task. The high rate of positive responses suggested the potential of the application in future use.References
Alkjær, T., Henriksen, M., Dyhre-Poulsen, P., & Simonsen, E. B. (2009). Forward lunge as a functional performance test in ACL deficient subjects: Test–retest reliability. The Knee, 16(3), 176-182.
Atkinson, R. C., & Shiffrin, R. M. (1971). The control processes of short-term memory: Citeseer.
Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability evaluation in industry, 189(194), 4-7.
Chen, C., Jafari, R., & Kehtarnavaz, N. (2016). A real-time human action recognition system using depth and inertial sensor fusion. IEEE Sensors Journal, 16(3), 773-781.
Farrokhi, S., Pollard, C. D., Souza, R. B., Chen, Y. J., Reischl, S., &
Powers, C. M. (2008). Trunk position influences the kinematics, kinetics, and muscle activity of the lead lower extremity during the forward lunge exercise. J Orthop Sports Phys Ther, 38(7), 403-409. doi:10.2519/jospt.2008.2634
Fitzgerald, D., Foody, J., Kelly, D., Ward, T., Markham, C., McDonald, J., & Caulfield, B. (2007). Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises. Paper presented at the Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE.
Gowing, M., Ahmadi, A., Destelle, F., Monaghan, D. S., O’Connor, N. E., & Moran, K. (2014). Kinect vs. low-cost inertial sensing for gesture recognition. Paper presented at the International Conference on Multimedia Modeling.
Heijne, A., Fleming, B. C., Renstrom, P. A., Peura, G. D., Beynnon, B. D., & Werner, S. (2004). Strain on the anterior cruciate ligament during closed kinetic chain exercises. Medicine and Science in Sports and Exercise, 36(6), 935-941.
Henriksen, M., Alkjær, T., Simonsen, E. B., & Bliddal, H. (2009). Experimental muscle pain during a forward lunge—the effects on knee joint dynamics and electromyographic activity. British journal of sports medicine, 43(7), 503-507.
Institute of Electronic Music and Acoustics. (2016). Pure Data. Retrieved from https://puredata.info/
Jönhagen, S., Halvorsen, K., & Benoit, D. L. (2009). Muscle activation and length changes during two lunge exercises: implications for rehabilitation. Scandinavian journal of medicine & science in sports, 19(4), 561-568.
Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Journal of basic Engineering, 82(1), 35-45.
Kitazawa, K., Showa, S., Hiraoka, A., Fushiki, Y., Sakauchi, H., &
Mori, M. (2015). Effect of a dual-task net-step exercise on cognitive and gait function in older adults. Journal of geriatric physical therapy, 38(3), 133-140.
Leardini, A., Lullini, G., Giannini, S., Berti, L., Ortolani, M., & Caravaggi, P. (2014). Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis. Journal of NeuroEngineering and Rehabilitation, 11(1), 136.
Lee, J. B., Sutter, K. J., Askew, C. D., & Burkett, B. J. (2010). Identifying symmetry in running gait using a single inertial sensor. Journal of Science and Medicine in Sport, 13(5), 559-563.
O'Reilly, M., Duffin, J., Ward, T., & Caulfield, B. (2017). Mobile App to Streamline the Development of Wearable Sensor-Based Exercise Biofeedback Systems: System Development and Evaluation. JMIR rehabilitation and assistive technologies, 4(2), e9.
O’Reilly, M. A., Whelan, D. F., Ward, T. E., Delahunt, E., & Caulfield, B. (2017). Classification of lunge biomechanics with multiple and individual inertial measurement units. Sports biomechanics, 16(3), 342-360. doi:10.1080/14763141.2017.1314544
Picerno, P. (2017). 25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches. Gait & Posture, 51, 239-246.
Rosati, G., Oscari, F., Spagnol, S., Avanzini, F., & Masiero, S. (2012). Effect of task-related continuous auditory feedback during learning of tracking motion exercises. Journal of neuroengineering and rehabilitation, 9(1), 79.
Sale, D., Jacobs, I., MacDougall, J., & Garner, S. (1990). Comparison of two regimens of concurrent strength and endurance training. Medicine and Science in Sports and Exercise, 22(3), 348-356.
Seizova-Cajic, T., & Azzi, R. (2010). A visual distracter task during adaptation reduces the proprioceptive movement aftereffect. Experimental brain research, 203(1), 213-219.
Sourceforge. (2016). JKalman. Retrieved from https://sourceforge.net/projects/jkalman/
Stone, W. J., & Coulter, S. P. (1994). Strength/Endurance Effects From Three Resistance Training Protocols With Women. The Journal of Strength & Conditioning Research, 8(4), 231-234.
Tang, Z., Sekine, M., Tamura, T., Tanaka, N., Yoshida, M., & Chen, W. (2015). Measurement and estimation of 3d orientation using magnetic and inertial sensors. Advanced Biomedical Engineering, 4, 135-143.
Teixeira, C. V. L., Gobbi, S., Pereira, J. R., Vital, T. M., Hernandéz, S. S. S., Shigematsu, R., & Gobbi, L. T. B. (2013). Effects of square‐stepping exercise on cognitive functions of older people. Psychogeriatrics, 13(3), 148-156.
Whelan, D., O'Reilly, M., Ward, T., Delahunt, E., & Caulfield, B. (2016). Evaluating Performance of the Lunge Exercise with Multiple and Individual Inertial Measurement Units. Paper presented at the Pervasive Health 2016: 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, Cancun, Mexico, 16-19 May 2016.
Winter, S. C., Lee, J. B., Leadbetter, R. I., & Gordon, S. J. (2016). Validation of a single inertial sensor for measuring running kinematics overground during a prolonged run. Journal of Fitness Research.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Kinesiology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
At Faculty of Kinesiology we recognize that access to quality research is vital to the scientific community and beyond. Kinesiology is non-profit journal and all costs of publishing and peer review process are covered by the publisher itself or other funding sources like Ministry of Science and Education of the Republic of Croatia. Full text papers are also available free of charge at http://hrcak.srce.hr/kineziologija. There are no restrictions on self archiving of any form of paper (preprint, postprint and publisher's version).
Articles are distributed under the terms of the CC BY - NC 4.0
Kinesiology does not charge any fees to authors to submit or publish articles in our journal.