Assistive Devices to Help Correct Sitting-Posture Based on Posture Analysis Results

Seung-Min Lee - Department of System Semiconductor Engineering, Sangmyung University, 31, Sangmyeongdae-gil, Dongnam-gu, Cheonan-si, South Korea
Hyeon-Ju Kim - Department of System Semiconductor Engineering, Sangmyung University, 31, Sangmyeongdae-gil, Dongnam-gu, Cheonan-si, South Korea
So-Jeong Ham - Department of System Semiconductor Engineering, Sangmyung University, 31, Sangmyeongdae-gil, Dongnam-gu, Cheonan-si, South Korea
Sunhee Kim - Department of System Semiconductor Engineering, Sangmyung University, 31, Sangmyeongdae-gil, Dongnam-gu, Cheonan-si, South Korea


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.5.3.673

Abstract


As many people spend a lot of time sitting on a chair, diseases such as turtle neck, straight neck, caused by incorrect posture have been increasing. Preventing these diseases and treating initial symptoms is helpful just by sitting properly. However, when people sit, their postures become disturbed without their knowledge. In this paper, we propose an assistive device in the form of a chair that helps people to sit properly and helps correct their sitting posture. The assistive device is equipped with pressure sensors capable of measuring the distribution of pressure applied to the floor of the chair, and an ultrasonic sensor capable of measuring the distance between the user's back and the chair back. First, an ultrasonic sensor and pressure sensors are used to determine the user's posture, and if the user's posture is not correct, an alarm is sent to the user to help the user to correct the posture by himself. Second, stretching information is provided according to the degree of distribution of pressure measured by the pressure sensors, and pressures are applied to the user's back with press-type cushions to help the user sit in a correct posture. In addition, even when sitting in a chair for a long time, an alarm is triggered to induce a person to rise from the chair. After implementing the system based on Raspberry Pi, each operation was checked. Furthermore, it was confirmed through the experiment participants that the proposed assistive device can help people correct their sitting posture.

Keywords


Posture correction; posture analysis; press-type cushion; sensing chair; sitting posture.

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References


J. Zhang, H. Zhang, C. Dong, F. Huang, Q. Liu, and A. Song, “Architecture and Design of a Wearable Robotic System for Body Posture Monitoring, Correction, and Rehabilitation Assist,” Int. J. of Soc. Robotics, vol. 11, pp. 423–436, Jan. 2019.

J. H. Park, S. Y. Kang, S. G. Lee, and H. S. Jeon,”The effects of smart phone gaming duration on muscle activation and spinal posture: Pilot study.” Physiother. Theory Pract., vol. 33, pp. 661-669, Jun. 2017.

H. Yeom, J. Lim, S.H. Yoo, and W. Lee, “A new posture-correcting system using a vector angle model for preventing forward head posture,” Biotechnol. Biotechnol. Equip., vol. 28, pp. S6-S13, Jun. 2014.

E. Low, T. H. Sam, K. S. Tee, R. Abdul Rahim., H. Saim, W. N. Wan Zakaria, S. Mohd Khialdin, H. Isa, and C. F. Soon, “Development of a Wireless and Ambulatory Posture Monitoring System,” Int. J. Integr. Eng., vol. 12, pp. 170-176. Mar. 2020.

(2016) Health Insurance Review & Assessment Service homepage. [Online]. Available: http://www.xn--o39aob3rt69c9lez0dj5ib52apde.com/bbsDummy.do?pgmid=HIRAA020041000100&brdScnBltNo=4&brdBltNo=9281#none

C. Bontrup, W. R. Taylor, M. Fliesser, R. Visscher, T. Green, P. M. Wippert, and R. Zemp, “Low back pain and its relationship with sitting behaviour among sedentary office workers,” Applied Ergonomics, vol. 81, 102894, Nov. 2019.

R. Baptista, M. Antunes, A.E.R. Shabayek, D. Aouada, and B. Ottersten, “Flexible feedback system for posture monitoring and correction,” in 2017 Fourth International Conference on Image Information Processing (ICIIP), Shimla, India, 2017, pp. 1-6.

S. Matuska, M. Paralic, and R. Hudec, “A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application," Mobile Information Systems, vol. 2020, pp.1-13. Nov. 2020.

S. Sathyanarayana, R. Satzoda, S. Sathyanarayana, and S. Thambipillai, “Vision-based patient monitoring: a comprehensive review of algorithms and technologies.” Journal of Ambient Intelligence and Humanized Computing, vol. 9, pp. 225–251, Apr. 2018.

C. Ma, W. Li, R. Gravina, and G. Fortino, “Posture Detection Based on Smart Cushion for Wheelchair Users,” Sensors, vol. 17, 719, Mar. 2017.

R. C. Ailneni, K. R. Syamala, I. S. Kim, and J. Hwang, “Influence of the wearable posture correction sensor on head and neck posture: Sitting and standing workstations,” Work, vol. 62, pp. 27-35, Feb. 2019.

CC. Wu, CC. Chiu, and CY. Yeh, “Development of wearable posture monitoring system for dynamic assessment of sitting posture,” Phys. Eng. Sci. Med., vol.43, pp. 187–203, Mar. 2020.

J. Roh, H-j. Park, KJ Lee, J. Hyeong, S. Kim, and B. Lee, “Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning,” Sensors, vol. 18, 208, Jan. 2018.

M. Kim, H. Kim, J. Park, K. Jee, J. A. Lim, and M. Park, “Real-time sitting posture correction system based on highly durable and washable electronic textile pressure sensors,” Sensors and Actuators A: Physical, vol. 269, pp. 394-400, Jan. 2018.

M. Bayattork, MB. Sköld, E. Sundstrup, and LL. Andersen, “Exercise interventions to improve postural malalignments in head, neck, and trunk among adolescents, adults, and older people: systematic review of randomized controlled trials.” J Exerc Rehabil, vol. 16, pp.36-48, Feb. 2020.

S. Park, and W. Yoo, “Effect of EMG‐based Feedback on Posture Correction during Computer Operation,” J. Occup. Health Psychol., vol. 54, pp. 271-227, Jan. 2013.

R. Sheikhhoseini, S. Shahrbanian, P. Sayyadi, and K. O'Sullivan, "Effectiveness of Therapeutic Exercise on Forward Head Posture: A Systematic Review and Meta-analysis,” J. Manipulative Physiol. Ther., vol. 41, pp. 530-539, Aug. 2018.

S. J. Kim. (2018) Health Chosun News website. [Online]. Available: https://m.health.chosun.com/svc/news_view.html?contid=2018041700144

N. Akkarakittichoke, and P. Janwantanakul, “Seat Pressure Distribution Characteristics During 1 Hour Sitting in Office Workers with and Without Chronic Low Back Pain,” Safety and Health at Work, vol. 8, pp. 212-219, Jun. 2017.

P. Waongenngarm, A. J. van der Beek, N. Akkarakittichoke, and P. Janwantanakul, “Perceived musculoskeletal discomfort and its association with postural shifts during 4-h prolonged sitting in office workers,” Applied Ergonomics, vol. 89, 103225, Nov. 2020.




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