WHEELCHAIR-PERSON FALL DETECTION WITH IOT

The number of increasing of population lead increasing number of older people and health issue people. With increasing number of these people, the demand of healthcare service increases rapidly. These people who have health issue or elderly people usually does not have enough strength to walk

Project Title

WHEELCHAIR-PERSON FALL DETECTION WITH IOT

Project Area of Specialization

Artificial Intelligence

Project Summary

The number of increasing of population lead increasing number of older people and health issue people. With increasing number of these people, the demand of healthcare service increases

rapidly. These people who have health issue or elderly people usually does not have enough strength to walk thus, wheelchair will be used. For those who used wheelchair but live independently are exposed to higher risk  of  falls. Besides that,  falling down  frequently may  cause psychological and  physiological

damage that lead to severe injury and even death if medical attention is not provided immediately.

In order  to reduce  the risk  of  these  people getting  harm  from fall,  medical  attention  needs  to  be provided immediately. Therefore, a reliable fall detection system can help to detect fall in elderly people and search for help and support. This research proposed a wheelchair-person fall detection

system with IoT which is cost effective and reliable to detect fall and alert surrounding to call for help.

 Nowadays, there are two type of wheelchair which are commercial and smart or powered wheelchair. Commercial wheelchair is the normally wheelchair which does not have any technology on it, and it is mostly worldwide used. Smart or powered wheelchair consists of controller unit which allows the user to provide input information through joystick, voice command and so on, so

that the wheelchair can automatically move to the destination. Usually smart or powered wheelchair is less used in normal family or medical facilities due to its high price. Thus, new system which can detect fall event need to be designed to be implement in the worldwide used commercial wheelchair with cost efficient.

Elderly people  and the  disability people are the one who mostly use wheelchair in their daily life. 

These people have a high risk of falling and injured themselves. Falling down and become unconscious

can be fatal because nobody is aware of this this happen event themselves. If these people are live alone

or their family not around, it may lead the faller to have more severe injuries. It is important to have a

quick response and rescue time if falling event occurs.

Project Objectives

To design and develop a wheelchair for falling detection by using Internet of Thing (IoT) and a sensor

which can detect the user’s condition on the wheelchair, analysis the situation and update the system with

real time data.

· To develop a wheelchair with the help of sensor to detect the fallen of the user.

· To design and develop a monitoring system to update the situation of the wheelchair user with real

time data.

· To integrate both design system and develop a GUI which can able evaluate the data collected and

give response by visualize it with the help of mobile application.

Project Implementation Method

The smart wheelchair that will be developed consist of a start button. When the start button is pushed, the whole system will start function.

All the  sensors from the  smart wheelchair  will start  its  own program. Each of  the sensors  had set  a threshold value. The sensor that will be used in the system is accelerometer with a gyroscope sensor and FSR402 Round Pressure Force Sensitive Resistor Sensor. When the sensor detected a certain value and

the value exceeds  the  threshold value, fall detection system  will be trigger. When  the detected value

exceeds threshold value, the user can determine whether it is a real fall or false fall. If the fall is false, the user can click the snooze button to turn of the alert system. If the fall is true and the user does not click the snooze button within 5 seconds, the  buzzer will be trigger. The  buzzer  will  alert the surrounding

people to search for help. GPS system of the smart wheelchair will send its location into the IoT platform and the GSM module will call search for help. The registered person can identify the location of  the wheelchair through  the IoT  platform since  the IoT  platform consists the  location information of  the

wheelchair.

Benefits of the Project

The  IoT  system  will  sent  email notification to the registered person to alert them fall event happen and help needed. Moreover, this system requires less implementation cost and provides a quick response. It can install in the existing commercial

wheelchair.

Technical Details of Final Deliverable

This project proposed a wheelchair-person fall detection

system with IoT which is cost effective and reliable to detect fall and alert surrounding to call for help. For fall detection, gyroscope, GPS module, FSR pressure sensor and microcontroller are implemented into the system. The gyroscope is use to detect the position of the wheelchair while the FSR pressure sensor which

placed on the sit pad of the wheelchair will be used to detect and recognized the gesture of the user. Both works together to detect fall event which increase the accuracy of the fall detection.  GPS module used to allocate the location of the wheelchair when fall event occur. When fall event occur, all the data includes the

location  of  the  wheelchair  will  be  sent  to  blynk  mobile  application.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Education , Medical

Core Technology

Internet of Things (IoT)

Other Technologies

Augmented & Virtual Reality

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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