EMPLOYEE HEALTH MONITORING SYSTEM USING SMART INSOLES
DOI:
https://doi.org/10.31618/nas.2413-5291.2021.1.67.430Ключевые слова:
Posture detection; gait detection; employee health; SVM; sensorsАннотация
The article describes an application of an employee health monitoring system that consists of insoles with built-in sensors and a smartphone app. The system controls employees’ static and dynamic load in a vertical position using built-in gyroscopes and accelerometers. It calculates the pressure force and time spent in static and dynamic positions and provides recommendations for changing the posture to reduce the risk of spine, and joint deceases. It is shown that the presented complex increases the safety and productivity of labor and reduces the risks of industrial injuries. Moreover, the employer gets the opportunity to evaluate the working day general pattern, analyze the time spent in a static and dynamic position, track and check worker’s location in complex environments.
Библиографические ссылки
D.A. Winter, “Human balance and control during standing and walking”. J. Gait Posture 3 (4), 1995, pp. 193–214.
P. Gagey, J. Baron and N. Ushio, “Introduction à la posturologie clinique”. Agressologie 21, 1980, pp. 119–124.
R. J. Peterka and P. J. Loughlin, “Dynamic regulation of sensorimotor integration in human postural control”, J. Neurophysiol., vol. 91, 2004, pp. 410-423.
N. Pinsault. and N., “Differential postural effects of plantar-flexor muscles fatigue under normal, altered and improved vestibular and neck somatosensory conditions”, Experimental Brain Research, Vol. 191. 2008, pp. 99-107.
D.A. Saraykin, V.V. Epishev, V.I. Pavlova and Y.G. Kamskova, “Dynamical changes in postural balance of vertical position in elite taekwondo practitioners within a full-year macrocycle”, Human. Sport. Medicine, vol. 17, no. 3, 2017, pp. 25-34.
Light, J.; Cha, S.; Chowdhury, M. Optimizing pressure sensor array data for a smart-shoe fall monitoring system. In Proceedings of the 2015 IEEE Sensors Conference, Busan, Korea, 1–4 November 2015
J. Ramos, R. Anacleto, A. Costa, P. Novais, L. Figueiredo, and A. Almeida, “Orientation system for people with cognitive disabilities,” in Ambient Intelligence - Software and Applications, ser. Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, Jan. 2012, no. 153, pp. 43– 50.
Y.C. Chen; P.Y. Kao; K.Y. Lu et al. “Pressure Sensing Insoles for Learning Tai-Chi Chuan”. In
Proceedings of the Fourth International Conference on
Information Science and Cloud Computing (ISCC2015), Guangzhou, China, 18–19 December 2015.
S. Mawson, N. Nasr, J. Parker at al. “Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation”, JMIR Rehabil. Assistive Technol, 2016, 3 (1) e1.
B. Najafi, E. Ron E, A. Enriquez et al.
“Smarter sole survival: will neuropathic patients at high risk for ulceration use a smart insole-based foot protection system?” J Diabetes Sci Technol, Vol. 11, 2017, pp. 702–713.
J.H. Allum, M.G. Carpenter, B.C. Horslen et al. “Improving impaired balance function: real-time versus carry-over effects of prosthetic feedback”. Conf Proc IEEE Eng Med Biol Soc., 2011, pp. 1314–1318.
Rios-Aguilar, “Intelligent Position Aware Mobile Services for Seamless and Non-Intrusive
Clocking-in”, International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 2, no. 5, pp. 48-50, 2014.
R. Anacleto, L. Figueiredo, A. Almeida, and
P. Novais, “Person localization using sensor information fusion” in Ambient Intelligence – Software and Applications, ser. Advances in Intelligent Systems and Computing. Springer International Publishing, Jan. 2014, no. 291, pp. 53–61.
Ryabina K.E., Epishev V.V., Fyodorov A.V., Smirnov A.S. “Corrective insole”. Utility model patent RUS 159613 21.01.2016.
S.J. Bamberg, A.Y. Benbasat, D.M.
Scarborough, D.E. at al. “Gait analysis using a shoeintegrated wireless sensor system”, Jul;12 (4), 2008, pp. 413-423.
C. Giacomozzi, V. Macellari, A. Leardini et al. “Integrated pressure-force-kinematics measuring system for the characterization of plantar foot loading during locomotion” Med. Biol. Eng. Comput. Vol. 38, 2000, pp. 156-163.
A. Hadi, A. Razak, A. Zayegh, R.K. at al. “Foot Plantar Pressure Measurement System: A Review” Sensors, Vol. 12, 2012, pp. 9884-9912.
Howell, A.M.; Kobayashi, T.; Chou, T.R.; Daly, W.; Orendurff, M.; Bamberg, S.J. A laboratory insole for analysis of sensor placement to determine ground reaction force and ankle moment in patients with stroke. In Proceedings of the 2012 IEEE Annual International Conference on Engineering in Medicine and Biology
Society (EMBC), San Diego, CA, USA, 28 Expert Systems with Applications, vol. 41, no. 5,
August–1 September 2012; pp. 6394–6397.
Загрузки
Опубликован
Выпуск
Раздел
Лицензия
Это произведение доступно по лицензии Creative Commons «Attribution-NoDerivatives» («Атрибуция — Без производных произведений») 4.0 Всемирная.
CC BY-ND
Эта лицензия позволяет свободно распространять произведение, как на коммерческой, так некоммерческой основе, при этом работа должна оставаться неизменной и обязательно должно указываться авторство.
