Next Generation Assistive System for Paralysis Patients
Mr. Swaroop N S1, Mrs. Thanuja K2, Dhanyashree S3, Preethi N4, Sneha A5, Sonu N6
1Assistant Professor, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
2Assistant Professor, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
3Student, Dept. of Electrical and Electronics Engineering, G MadeGowda Institute of Technology
4Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
5Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
6Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
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Abstract - Paralytic people in most cases are not able to convey their needs as they are neither able to speak properly nor do they convey through sign language due to loss in control by their brain. To solve such issues, simple, transportable, and accurate assistive technology will probably be developed. Stroke is the major cause of paralysis, which affects almost 33.7% of the population with paralysis. But there is no system to monitor the patient’s health and daily needs. In this high-speed world, it is not possible to constantly take care of their near ones who need their help. In this way the Automated Paralysis Patient Care System truly automates the care taking ability of the patient which ensures a timely attention to the patient and thus for a good health of the patient. The glove with sensors and microcontroller is the major focus. The micro-controller identifies certain finger bending using sensors attached to gloves and converts sensor output data into text and audio It has the capacity to assess biological indicators like heart rate and temperature as a patient monitoring device. The system will be put into place with the intention of enhancing the quality of life for people with disabilities and providing additional assistance in bridging the communication gap.
Key Words: Paralysis patient, Care taker, Microcontroller, Flex Sensor, Temperature, Heart rate, Real time monitoring
