Human Activity Detection in Coma Patient

Project Code :TCMAAN170

Objective

The main purpose of this project is to develop an android application which helps in detecting human activity in coma patient. The ultimate objective is to reduce manually monitoring of coma patient and to develop computerized system and if any activity found, Patient concerned persons should get notified in their mobiles.

Abstract

This work is based on the coma patient movement and monitoring system in which the system that is used to detect movement changes in the coma patient. This project involves the method of patient movement monitoring system for those patients that are taking medical treatment in both local and foreign hospitals with the help of frames comparison approach. Hospitals have started using the cell instruments for communication intent and for this intent internet of things (IoT) has been used and fused with wi-fi sensor node reminiscent and small sensor nodes.

 In this application novel method to utilize it IoT within the field of scientific and crafty wellness care are presented. The majority of the survey exist about the different health care approaches used in the IoT, similar to, wireless well-being monitoring, U-healthcare, E-healthcare, Age-friendly healthcare techniques. 

Keywords: Coma Patient Tracker, Trace Movements, Activity Detection.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE SPECIFICATIONS

  • Operating System: Windows and Android
  • SDK IDE: Android Studio 3.3
  • Virtual Emulator: Nexus Pixel 2
  • Programming Language: Java
  • Front End: Xml
  • Server scripting Language: PHP
  • Database: MySQL

HARDWARE SPECIFICATIONS

  • CPU type: Intel i7
  • Ram size: 16 GB
  • Hard disk capacity:1TB
  • Monitor type: 15 Inch color monitor
  • Keyboard type: Internet keyboard
  • Mobile: Android

Learning Outcomes

  • About Android Studio.
  • About activities.
  • About Layouts.
  • About XML code.
  • Storing Images.
  • Various type of Image Views.
  • About Views like Recycler view and List view.
  • About Adapters.
  • About HTTP requests.
  • About Volley Library.
  • ML modules.
  • About Python.
  • About CSV.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

Demo Video

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