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Smart Patients Bed With Health Tracker Using IOT And Image Processing

Prof. Najmusehar H, Mehak Taj, Mohammed Tamheed Shariff, Nimra Anjum, Nisarga BS

Abstract


Automation plays an important role in our daily lives. Gesture recognition is an important application in business automation. The project addresses the problem of correcting the position of the bed with the help of gestures and home automation. To perform this task in real time, we need an in- teractive gesture recognition application. This real-time webcam is used to provide guidance for human-computer interaction. It is intended to be displayed in real time using a network camera and simple equipment to change the position of the bed by pointing it. In this society, the number of disabled patients is increasing, but no one cares about them. Patients need constant care from caregivers, but this is not always possible due to social or economic reasons. Therefore, we recommend automatic bed management for disabled patients in order to reduce the need for caregivers and increase patient comfort. The position of the bed is also controlled from different directions. The system also includes continuous patient monitoring, monitoring various parameters such as temperature and pulse. If any of these parameters exceed the minimum safety, the device sends a warning signal to the doctor via text message.


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References


T. Sangeetha , D. Kumutha , M. Divya Bharathi , R. Surendran. ”Smart mattress integrated with pressure sensor and IoT functions for sleep apnea detection ” 2022

Cong Zhao , Dan Liu , Zhihao Cai , Bin Du , Mengqiang Zou, Shuo Tang , Bozhe Li ,Cong Xiong , Peng Ji , Lichao Zhang , Yuan Gong , Gaixia Xu , Changrui Liao and Yiping Wang ”A Wearable Breath Sensor Based on Fiber-Tip Micro- cantilever” MDPI 2022

Prajoona Valsalan, Tariq Ahmed Barham Baomar, Ali Hussain Omar Baabood ”IOT Based Health Monitoring Sys- tem” Journal of Critical Reviews ISSN- 2394-5125 Vol 7, Is- sue 4, 2020

Mohammed A.Tawfeeq, Ayam M. Abbass ”Control of Robot Directions Based on Online Hand Gestures” Iraqi Jour- nal of Electrical and Electronic Engineering Volume 14, No. 1- 2018

Sajida Fayyaz, Sidra Tahir. “Adjustment of Bed for a Patient through Gesture Recognition: An Image Processing Approach”. IEEE 2018.

Ms. Kalpana Lamb,Prof.Mrs. Swati Madhe ”Hand Ges- ture Recognition Based Bed Position Control for Disabled Patients” 2016 Conference on Advances in Signal Process- ing (CASP) Cummins College of Engineering for Women,

Pune. Jun 9-11, 2016

T. Umarani, I. Preethy, N.M. Thennarasi, J.E. Jeyanthi ”Gesture Controlled Bed Movement” IRJET Volume: 06 Issue: 12 December 2019

Hui-Shyong Yeo , Byung-Gook Lee And Hyotaek Lim, “Hand tracking and gesture recognition system for human- computer interaction using low-cost hardware” Springer Sci- ence+Business Media New York 2013

Yuan Yao,Yun Fu ”Contour Model-Based Hand-Gesture Recognition Using the Kinect Sensor” IEEE, Vol. 24, no. 11, November 2014

Chinnu Thomas , S.Pradeepa ”A Comprehensive Re- view On Vision Based Hand Gesture Recognition Technology” International Journal of Research in Advent Technology Vol- ume 2, Issue 1, January 2014


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