Welcome to Scholar Publishing Group

International Journal of Sports Technology, 2021, 2(4); doi: 10.38007/IJST.2021.020404.

Tennis Practice on the Control Ability of the Intelligent Sensor System of the Elderly Posture

Author(s)

Hanya Abdullanh and Craige Pearsal

Corresponding Author:
Hanya Abdullanh
Affiliation(s)

University of Sulaimani, Iraq

Abstract

In today's society, the rate of population aging is getting faster and faster, and the health of the elderly has attracted much attention. It has been found that many elderly physical diseases are caused by the long-term bad habits and lack of exercise in the elderly. More and more studies have shown that proper exercise can prevent and reduce the occurrence of these diseases. With the development of smart sensor technology and the application of artificial intelligence technology, smart sensors have been used to monitor various body information data of the elderly, and play an important role in studying the influence of various sports exercises on the ability of the elderly to control their body posture. This article uses the intelligent sensor system to study the influence of tennis practice on the control ability of the elderly's body posture. This article first analyzes the knowledge of sports mechanics in tennis practice through literature research, formulates correct and comfortable tennis practice methods suitable for the elderly, and uses smart sensors to track and monitor the body posture data of the elderly. Then this paper uses a particle filter-based sensor target tracking model to monitor the elderly's fall, and uses a fourth-order Butterworth filter to evaluate the elderly's body posture control ability. Then this paper uses BP neural network to recognize and analyze the body posture of the elderly and predict the posture control ability. Finally, a comparative analysis of the effect of tennis exercises on the body control ability of the elderly is carried out through the control experiment of the elderly body posture test. Experiments show that tennis exercises can significantly improve the body control ability of the elderly, especially the lateral posture control.

Keywords

Tennis Practice, Smart Sensor System, Posture Control for the Elderly, Neural Network

Cite This Paper

Hanya Abdullanh and Craige Pearsal. Tennis Practice on the Control Ability of the Intelligent Sensor System of the Elderly Posture. International Journal of Sports Technology (2021), Vol. 2, Issue 4: 45-59. https://doi.org/10.38007/IJST.2021.020404.

References

[1] Zheng L , Lu L , Jiang X , et al. Laparoscopy-assisted versus open distal gastrectomy for gastric cancer in elderly patients: a retrospective comparative study. Surgical Endoscopy, 2016, 30(9):4069-4077. https://doi.org/10.1007/s00464-015-4722-8

[2] Chen C C , Hong D J , Chen S C , et al. Study of Multimedia Technology in Posture Training for the Elderly. Engineering, 2016, 05(10):47-52. https://doi.org/10.4236/eng.2013.510B010

[3] Yan Y , Liu X , Li J , et al. Walking Posture Control of Transmission Line Single Arm Inspection Robot. IOP Conference Series Materials ence and Engineering, 2017, 224(1):012-019.

[4] Muhla F , Clanché, F, Rose C , et al. Biomechanical and human behavior assessment using virtual reality to challenge balance and posture for the elderly and patients with Parkinson's disease. Comput Methods Biomech Biomed Engin, 2017, 20(1):141-142.

[5] Seo J W , Kim D H , Yang S T , et al. Comparison of joint kinematics and pedaling force in the young and the elderly. Journal of Physical Therapy ence, 2016, 28(8):2245-2248. https://doi.org/10.1589/jpts.28.2245

[6] Cheng K , Chen D , Zhang Z , et al. Jumping Robot With Initial Body Posture Adjustment and a Self-righting Mechanism. International Journal of Advanced Robotic Systems, 2016, 13(3):127-132. https://doi.org/10.5772/64200

[7] Ji P , Huang Y , Zhou Q . Mechanisms of using knee bolster to control kinematical motion of occupant in reclined posture for lowering injury risk. International journal of crashworthiness, 2017, 22(3-4):415-424.

[8] Feng S S M , Chung L M Y , Bae Y H , et al. Neuromuscular Processes in the Control of Posture in Children with Developmental Coordination Disorder: Current Evidence and Future Research Directions. Current Developmental Disorders Reports, 2018, 5(1):43-48. https://doi.org/10.1007/s40474-018-0130-9

[9] Zhang H F , Lino J , Ji M , et al. [Effect of simulating leg length inequality on spinal and pelvic posture in the elderly]. Zhonghua Yi Xue Za Zhi, 2017, 97(39):3062-3067.

[10] Wang L , Feng W , Jia L , et al. Emotional processing of winning and losing facial expression and body posture. Acta Psychologica Sinica, 2018, 50(8):892-904.

[11] Zelai S D U , Begonya G Z S . Kinect-Based Virtual Game for the Elderly that Detects Incorrect Body Postures in Real Time. Sensors, 2016, 16(5):704-712. https://doi.org/10.3390/s16050704

[12] Vitale C , Falco F , Trojano L , et al. Neuropsychological correlates of Pisa syndrome in patients with Parkinson's disease. Acta Neurologica Scandinavica, 2016, 134(2):101-107. https://doi.org/10.1111/ane.12514

[13] Yasuto I , Mitsuhiro M , Naofumi O , et al. Effect of noisy galvanic vestibular stimulation in community-dwelling elderly people: a randomised controlled trial. Journal of NeuroEngineering and Rehabilitation, 2018, 15(1):63-74. https://doi.org/10.1186/s12984-018-0407-6

[14] Doulah A , Shen X , Sazonov E . Early Detection of the Initiation of Sit-to-Stand Posture Transitions Using Orthosis-Mounted Sensors. Sensors, 2017, 17(12):3301-3316. https://doi.org/10.3390/s17122712

[15] Andrea B , Marcello C , Paolo L , et al. Effects of Osteopathic Treatment on Postural Equilibrium Evaluated through a Stabilometric Platform: A Randomized and Controlled Study. Journal of Functional Morphology & Kinesiology, 2017, 2(2):18-22. https://doi.org/10.3390/jfmk2020018

[16] Park E , Reimann H , Sch?Ner G . Coordination of muscle torques stabilizes upright standing posture: an UCM analysis. Experimental Brain Research, 2016, 234(6):1757-1767.

[17] Verrusio W , Gianturco V , Cacciafesta M , et al. Fall prevention in the young old using an exoskeleton human body posturizer: a randomized controlled trial. Aging Clinical & Experimental Research, 2016, 29(2):1-8.

[18] Avelar I S , Soares V , Barbosa R C , et al. The influence of a protocol of aquatic exercises in postural control of obese elderly. Revista Andaluza de Medicina del Deporte, 2018, 11( 2):69.

[19] Suzuki Y , Kawai H , Kojima M , et al. Construct validity of posture as a measure of physical function in elderly individuals: Use of a digitalized inclinometer to assess trunk inclination. Geriatrics & Gerontology International, 2016, 16(9):1068-1073. https://doi.org/10.1111/ggi.12600

[20] Tseng H W , Wu R Y , Wu Y Z . An Efficient Cross-Layer Reliable Retransmission Scheme for the Human Body Shadowing in IEEE 802.15.6-Based Wireless Body Area Networks. IEEE Sensors Journal, 2016, 16(9):1-1. https://doi.org/10.1109/JSEN.2016.2523461

[21] Gabel C P , Rando N , Melloh M . Slacklining and stroke: A rehabilitation case study considering balance and lower limb weakness.. World Journal of Orthopedics, 2016, 7(8):513-518. https://doi.org/10.5312/wjo.v7.i8.513

[22] Scholes C J , Lynch J T , Ebrahimi M , et al. Gait adaptations following multiple-ligament knee reconstruction occur with altered knee kinematics during level walking. Knee Surg Sports Traumatol Arthrosc, 2016, 25(5):1-11. https://doi.org/10.1007/s00167-016-4104-3

[23] Baig M M , Gholamhosseini H , Connolly M J . Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs. Aging Clinical & Experimental Research, 2016, 28(6):1-10. https://doi.org/10.1007/s40520-015-0510-5

[24] Reif K . Nuclear Arms Control Choices for the Next Administration. Arms Control Today, 2016, 46(10):7-9.

[25] Upton S , Renshaw T L . Immediate Effects of the Mindful Body Scan Practice on Risk-Taking Behavior. Mindfulness, 2019, 10(1):78-88. https://doi.org/10.1007/s12671-018-0948-6