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Portable Fall Detection and Alerting System based on K-NN Algorithm and Remote Medicine is a healthcare support project work. The main aim of this project is ensuring 100% health safety for elderly people at home. Healthcare is a rapidly growing field with advance technologies to provide patients with complete care under comfortness. Every elderly person is likely to hospital free and get rid of medicinal environment.

So a portable device is design to assist 24*7 cares in the daily activity of particular person.

The design Portable Fall Detection and Alerting System based on K-NN Algorithm and Remote Medicine is a wearable sensor based devices that are connect with an embedded kit to monitor patient.

K-NN is a popular algorithm that is used to execute smart phone, which receives an alert messages if the person fall is detect.

The sensors are responsible to detect patient fall and the information is sent to microcontroller for generating an emergency alarming message. The smart phone receives emergency message immediately by using the GSM module in the embedded kit. Once the message is receive, then corresponding actions are take by the care taker.

Electronic Devices used in Portable Fall Detection Kit Model

  • Body Sensors
  • Microcontroller
  • Accelerometer
  • Gyroscope
  • GSM Module
  • LCD Monitor

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