Implementation of Gesture Alert and Health Assistance System for Physically Disabled Using Internet of Things (Iot)

  • Authors

    • Dr Neha Mangla Vidyavarshini H J
    • . .
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.17902
  • Physically Disabled, Health Assistance, Gesture Alert, Internet of Things (Iot), Patient Monitoring System (PMS)

  • Gesture based monitoring for assisted living is gaining importance and attention, especially to facilitate physically disabled and the elderly citizens[2],[3] by examining their health and movements, which otherwise could lead to a collapse or a fall. It is quite a challenge for the nursing and care taker staff to constantly monitor the patients and assist them at all times. This can be overcome by the help of a device that is multi-functional and portable enough to place it on any piece of furniture. An integration of health assistance [13] and gesture alert is a very comprehensive approach to increase the potential future of health monitoring. An application context for health monitoring and gesture alert can be therefore developed with lower costs, a system that is robudt and also reduces the number of devices to be worn by a patient. A Patient Monitoring System (PMS) and various wearable devices [23] act as pioneers to establish a safer and a healthier world.

     

     

  • References

    1. [1] Shalom Greene, Himanshu Thapliyal, and David Carpenter, “IoT-Based Fall Detection for Smart Home Environmentsâ€, 2016 IEEE International Symposium on Nanoelectronic and Information Systems, 978-1-5090-6170-9/16, 2016 IEEE DOI 10.1109/iNIS.2016.62

      [2] Korhonen, N., Kannus, P., Niemi, S., Palvanen, M., &Parkkari, J. (2013).Fall-induced deaths among older adults: nationwide statistics in Finland between 1971 and 2009 and prediction for the future. Injury, 44(6), 867871.

      [3] Personal Health Assistance Service Expert System (PHASES);

      [4] ChakkritSnae, and Michael Brueckner; World Academy of Science, Engineering and Technology 32 2007

      [5] http://www.cdc.gov/HomeandRecreationalSafety/Falls /adultfalls.html.

      [6] Jay Chen∗, Karric Kwong†, Dennis Chang‡, Jerry Luk§, Ruzena Bajcsy¶, “Wearable Sensors for Reliable Fall Detectionâ€, Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005

      [7] Alicia Y.C. Tang, Chin-Hao Ong, Azhana Ahmad, “Fall Detection Sensor System for the Elderlyâ€, International Journal of Advanced Computer Research · June 2015

      [8] SHILPA R. KAWALE, G.M.MALWATKAR, “FALL DETECTION SYSTEM FOR ELDERLY PERSON USING EMBEDDED SYSTEMâ€, International Journal of Advances in Science Engineering and Technology, ISSN: 2321-9009, Vol-4, Iss-3, Spl. Issue-2 Sep.-2016 Fall Detection System For Elderly Person Using Embedded System 93

      [9] Falin Wu,1 Hengyang Zhao,1 Yan Zhao,1 and Haibo Zhong, “Development of a Wearable-Sensor-Based Fall Detection Systemâ€, Hindawi Publishing Corporation International Journal of Telemedicine and Applications Volume 2015, Article ID 576364

      [10]Neha mangla “A Comprehensive Review: Internet of Things (IOT)†, IOSR Journal of Computer Engineering (IOSR-JCE) ,e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 19, Issue 4, Ver. III (Jul.-Aug. 2017), PP 62-72

      [11]Neha Mangla, Tripti Mehta,†A Survey Paper on Big Data Analytics using Map Reduce and Hive on Hadoop Frameworkâ€, International Journal of Recent Advances in Engineering & Technology (IJRAET),Volume 4,Issue2,Pages 112-118

      [12]Neha Mangla,â€A GPS-GSM Predicated Vehicle Tracking System, Monitored in a Mobile App based on Google Mapsâ€,International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017)

      [13]Ahmed Abdelgawad, Kumar Yelamarthi, and Ahmed Khattab, “IoT-Based Health Monitoring System for Active and Assisted Livingâ€, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017 O. Gaggi et al. (Eds.): GOODTECHS 2016, LNICST 195, pp. 11–20, 2017. DOI: 10.1007/978-3-319-61949-1_2

      [14]Zaid A. Mundher and Jiaofei Zhong, “A Real-Time Fall Detection System in Elderly Care Using Mobile Robot and Kinect Sensorâ€, International Journal of Materials, Mechanics and Manufacturing, Vol. 2, No. 2, May 2014

      [15]K.C. Kavitha, A.Bazila Banu, “Wireless Health Care Monitoringâ€, International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2014

      [16]Veysel Aslantas, Rifat Kurban, Tuba Caglikantar, “A Low-Cost Wireless Healthcare Monitoring System And Communication To A Clinical Alarm Stationâ€

      [17]http://www.handsontec.com/pdf_learn/esp8266-V10.pdf

      [18]https://store.fut-electronics.com/products/nodemcu-esp8266-programming-and-development-kit

      [19]https://learn.sparkfun.com/tutorials/ad8232-heart-rate-monitor-hookup-guide

      [20]https://www.sparkfun.com/datasheets/Components/SMD/adxl335.pdf

      [21]Neha Mangla, Sushma K,†EPH-Enhancement of Parallel Mining using Hadoopâ€, International Journal of Engineering Research , ISSN: 2319- 6890) (online), 2347-5013 (print) Volume No.5 Issue: Special 4, pp: 790-991 20 May 2016

      [22]Neha Mangla,â€Analysis of Diabetic Datase and Developing Prediction Model by using Hive and R “,International Journal of Science and Technologyâ€, Vol 9(45), DOI: 10.17485/ijst/2016/v9i45/ 106497, December 2016

      [23]Manisha Shelar, Jaykaran Singh, Mukesh Tiwari, “Wireless Patient Health Monitoring Systemâ€, International Journal of Computer Applications (0975 – 8887) Volume 62– No.6, January 2013

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  • How to Cite

    Neha Mangla Vidyavarshini H J, D., & ., . (2018). Implementation of Gesture Alert and Health Assistance System for Physically Disabled Using Internet of Things (Iot). International Journal of Engineering & Technology, 7(2.33), 1031-1035. https://doi.org/10.14419/ijet.v7i2.33.17902