An application of LSTM neural networks to improve the efficiency of monitoring and warning the health status of office workers
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https://doi.org/10.54939/1859-1043.j.mst.81.2022.3-13Abstract
This article proposes a solution to improve office chairs (referred to as IoT chairs) based on IoT technology and LSTM (Long Short – Term Memory) neural networks to monitor and promptly warn via the Internet about questions of abnormal health status of office staff. An IoT circuit with the MCU-ESP8266 module is used to collect weight and an accelerometer sensor embedded in the chair, which can communicate with a computer to monitor the searing time of the user and warn by sound for prolonged sitting. LSTM neural networks built on MATLAB is trained by deep learning techniques to track inappropriate postures of people sitting in chairs, through analyzing signals from sensors. Experiment results on many different scenarios show that the accuracy of capacity of reminding about the status of prolonged sitting is 100% and reliability of the capacity of detecting and warning abnormal health conditions is 94%. Experiments also show that the ability to complete IoT chairs for a popular application is completely feasible.
References
[1]. M. A. Huysmans, H. P. van der Ploeg, K. I. Proper, E. M. Speklé, and A. J. van der Beek, "Is Sitting Too Much Bad for Your Health?," Ergonomics in Design, vol. 23, no. 3, pp. 4-8, (2015), doi: 10.1177/1064804615585410. DOI: https://doi.org/10.1177/1064804615585410
[2]. N. Pronk, "The Problem With Too Much Sitting: A Workplace Conundrum," ACSM's Health & Fitness Journal, vol. 15, no. 1, pp. 41-43, (2011), doi: 10.1249/FIT.0b013e318201d199. DOI: https://doi.org/10.1249/FIT.0b013e318201d199
[3]. S. M. Sheikh and I. Ngebani, "A Personal Health Care Office Chair," in 2019 2nd Inter. Conf. on Computer Applications & Information Security (ICCAIS), pp. 1-4, 1-3 May, (2019), doi: 10.1109/CAIS.2019.8769548. DOI: https://doi.org/10.1109/CAIS.2019.8769548
[4]. R. Lavanya, M. Nivetha, K. Revasree, and K. Sandhiya, "Smart Chair-A Telemedicine Based Health Monitoring System," in 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 459-463, 29-31 March, (2018), doi: 10.1109/ICECA.2018.8474628. DOI: https://doi.org/10.1109/ICECA.2018.8474628
[5]. R. J. Darwood and F. C. T. Smith, "Deep vein thrombosis," Surgery - Oxford International Edition, vol. 31, no. 5, pp. 206-210, (2013), doi: 10.1016/j.mpsur.2013.02.001. DOI: https://doi.org/10.1016/j.mpsur.2013.02.001
[6]. O. World Health, "The atlas of heart disease and stroke / Judith Mackay and George Mensah; with Shanthi Mendis and Kurt Greenland," ed. Geneva: World Health Organization, (2004).
[7]. R. Advani, H. Naess, and M. W. Kurz, "The golden hour of acute ischemic stroke," (in eng), Scand J Trauma Resusc Emerg Med, vol. 25, no. 1, pp. 54-54, (2017), doi: 10.1186/s13049-017-0398-5. DOI: https://doi.org/10.1186/s13049-017-0398-5
[8]. N. B. G. V. P. Rahul, "Implementation of an IOT Based Smart Chair," Inter. J. for Research in Applied Science and Engineering Tech. (IJRASET), vol. 5, no. VI, pp. 1317-1317, (2017).
[9]. R. Febriani, A. I. Wuryandari, and T. Mardiono, "Design interaction of smart health chair approach the usability aspect on SHESOP health care," in 2015 4th International Conference on Interactive Digital Media (ICIDM), pp. 1-6, 1-5 Dec., (2015), doi: 10.1109/IDM.2015.7516356. DOI: https://doi.org/10.1109/IDM.2015.7516356
[10]. G. R. D. Ganesh, K. Jaidurgamohan, V. Srinu, C. R. Kancharla, and S. V. S. Suresh, "Design of a low cost smart chair for telemedicine and IoT based health monitoring: An open source technology to facilitate better healthcare," in 2016 11th International Conference on Industrial and Information Systems (ICIIS), pp. 89-94, 3-4 Dec., (2016), doi: 10.1109/ICIINFS.2016.8262913. DOI: https://doi.org/10.1109/ICIINFS.2016.8262913
[11]. G. Jia et al., "A Sensing Chair design for home based physiological signs monitoring," in 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 261-264, 4-5 May, (2013), doi: 10.1109/MeMeA.2013.6549748. DOI: https://doi.org/10.1109/MeMeA.2013.6549748
[12]. Y. Liu, N. Wang, C. Lv, and J. Cui, "Human body fall detection based on the Kinect sensor," in 2015 8th International Congress on Image and Signal Processing (CISP), pp. 367-371, 14-16 Oct., (2015), doi: 10.1109/CISP.2015.7407906. DOI: https://doi.org/10.1109/CISP.2015.7407906
[13]. E. E. Stone and M. Skubic, "Fall Detection in Homes of Older Adults Using the Microsoft Kinect," IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 290-301, (2015). DOI: https://doi.org/10.1109/JBHI.2014.2312180
[14]. P. M. Hien and N. C. Ngon, "Một giải pháp phát hiện sớm tình trạng đột quỵ của người cao tuổi," (in Vietnamese), Kỷ yếu Hội nghị toàn quốc lần thứ 3 về Điều khiển và Tự động hoá - VCCA-2015, pp. 35-39, 28-29 Nov, (2015), (in Vietnamese). DOI: https://doi.org/10.15625/vap.2015.0025
[15]. H. T. Tâm, "Ứng dụng IOT để theo dõi và cảnh báo tình trạng sức khỏe bất thường của cán bộ văn phòng," Thạc sĩ, Bộ môn Tự động hóa, Trường Đại học Cần Thơ, Cần Thơ, (2021), (in Vietnamese).
[16]. N. C. Ngon, H. T. Tam, N. T. Hieu, N. D. Hoa, and N. C. Nghiem, "Implementation of office chair with warning function on abnormal health using IoT technology," Journal of Technical Education Science, no. 69, pp. 17-25, 10/28, (2022), doi: https://doi.org/10.54644/jte.69.2022.1082. DOI: https://doi.org/10.54644/jte.69.2022.1082
[17]. T. M. Inc., "Long Short-Term Memory Networks," in Documentations, ed, (2021).
[18]. B. Lim and S. Zohren, "Time-series forecasting with deep learning: A survey," Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 379, no. 2194, (2020), doi: 10.1098/rsta.2020.0209. DOI: https://doi.org/10.1098/rsta.2020.0209
[19]. N. Thai-Nghe, T. T. Hung, and N. C. Ngon, "A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems," in 2020 International Conference on Advanced Computing and Applications (ACOMP), pp. 165-169, 25-27 Nov., (2020), doi: 10.1109/ACOMP50827.2020.00033. DOI: https://doi.org/10.1109/ACOMP50827.2020.00033
[20]. N. Thai-Nghe, N. Thanh-Hai, and N. Chi Ngon, "Deep Learning Approach for Forecasting Water Quality in IoT Systems," International Journal of Advanced Computer Science and Applications, vol. 11, no. 8, pp. 686-693, (2020). DOI: https://doi.org/10.14569/IJACSA.2020.0110883
[21]. N. Duong-Trung, L.-D. Quach, M.-H. Nguyen, and C.-N. Nguyen, "A Combination of Transfer Learning and Deep Learning for Medicinal Plant Classification," presented at the Proceedings of the 2019 4th International Conference on Intelligent Information Technology, Da, Nang, Viet Nam, (2019). doi: https://doi.org/10.1145/3321454.3321464. DOI: https://doi.org/10.1145/3321454.3321464
[22]. J. Höller, V. Tsiatsis, C. E. A. Mulligan, S. Avesand, and D. Boyle, "From Machine-to-Machine to the Internet of Things - Introduction to a New Age of Intelligence," (2014).
[23]. F. Xia, L. T. Yang, L. Wang, and A. Vinel, "Internet of Things," International Journal of Communication Systems, vol. 25, no. 9, pp. 1101-1102, (2012), doi: https://doi.org/10.1002/dac.2417. DOI: https://doi.org/10.1002/dac.2417
[24]. HTElectronics, "Hướng dẫn sử dụng ESP8266 trong các ứng dụng internet," ed, (2020), (in Vietnamese).
[25]. InvenSense, "PU-6000 and MPU-6050 Product Specification," in Revision 3.3, ed, (2012).
[26]. Intelligent Digital Load Cell, NTS Instrument Co. Ltd. [Online]. Available: https://www.mavin.cn/uploadfile/downloads/Mavin%20catalog.pdf.
[27]. S. Patel, P. Talati, and S. Gandhi, "Design of I2C Protocol," Inter. J. of Technical Innovation in Modern Engineering & Science (IJTIMES), vol. 5, no. 3, pp. 741-744, (2019).
[28]. L. Gagliano, E. Bou Assi, D.K. Nguyen, and M. Sawan, “Bispectrum and Recurrent Neural Networks: Improved Classification of Interictal and Preictal States,” Scientific Reports 9, 15649, (2019). https://doi.org/10.1038/s41598-019-52152-2. DOI: https://doi.org/10.1038/s41598-019-52152-2
[29]. S. Hochreiter and J. Schmidhuber, "Long Short-Term Memory," Neural Computation, vol. 9, no. 8, pp. 1735-1780, (1997), doi: 10.1162/neco.1997.9.8.1735. DOI: https://doi.org/10.1162/neco.1997.9.8.1735
