This prototype is based on technological advancements and their use. It is the most feasible projects to have implemented since it enhances the standard of living. This model is designed to provide the low cost wheelchair control system which ensures one?s safety too. Moreover, the project is curren
Mobile Controlled Wheel Chair
This prototype is based on technological advancements and their use. It is the most feasible projects to have implemented since it enhances the standard of living. This model is designed to provide the low cost wheelchair control system which ensures one’s safety too. Moreover, the project is currently being implemented all over the world and many other techniques besides this are also being used to achieve similar outcome.
Despite its familiarity around the world, mobile controlled wheelchairs yet have to gain popularity in Pakistan. This project is a step being taken further in bringing improvements into the lives of people. After testing and experimentation it was clear that this motion control mechanism through the interface of Wi-Fi and accelerometer is a rugged design and can be easily implemented.
This project will help people with any physical disabilities as there is no external human involvement. The cost has also been cut down to increase its affordability for people belonging to all classes. This chair can move in multiple directions. This chair also has the ability to sense an obstacle from a distance of few centimeters due to the process of reflection of electromagnetic waves. DC motors are used to operate this chair. Due to this current Turing effect is produced in the coil which generates electric flux. According to law Maxwell laws change in magnetic field produces induced current.
In this particular project, joystick is also supplementary added as this creates the sense of acquaintance because these days many handicaps are aware with its use. If any obstacle is noticed at the front during its movement or while backing out, infrared sensors have been associated to stop the wheelchair dead in its tracks and it will not proceed in that track any more. Wi-Fi has also been added to govern the motion. A mobile application with a basic and easily understandable outlook will be delivered for the ease of user so if the person is not comfortable with other options, they can always use their android devices to move to places they want to.
These multiple methods of controlling the motor not only provide different methods to move around but also can prove to be helpful if any one of these components stops working. The user (handicapped) can operate this wheelchair without the assistance of another person.
Most of the physically disable individual satisfies their movement through wheelchair. The situation is different for the disables of developing countries because of their economic conditions.
The issue with all the current wheelchairs is that whether they are unique and the primary explanation behind them being expensive is the sort of innovation utilized. For tongue controlled wheelchair, the individual needs to experience an appropriate strategy in which various sensors are embedded into the teeth and tongue of the user. The accuracy of these systems is additionally controversial and is incredibly sensitive to any variation. These overly delicate frameworks can demonstrate to be dangerous at the user end. We have attempted to resolve all the referenced issues by applying a less complex framework for the activity of this wheelchair.
The fundamental motivation behind building the wheelchair from scratch was to reduce the weight and the general expenses too. A nominal electronic wheelchair with joystick operation costs around 250000/- rupees. It is valued at this sum because, majority of the wheelchairs are imported from abroad which consequently builds its cost. A wheelchair with this value range isn't reasonable for middle or low class individuals because of which greater part of the physically disabled individuals in our country utilize a normal wheelchair which requires human effort. So the user needs to strive to move it in any direction. Our wheelchair incorporates sensors that won't just distinguish any obstacles, however will likewise stop when it senses if anything is in the way.
The research includes devising possible improvements in the hardware and to make it as cost-efficient as possible and to provide safety mechanism is our top priority. The project includes development of hardware to control wheelchair through Mobile using App (Blynk). We are controlling automated wheelchair back and forth (and at desired angles). The project includes the working of Mode MCU 8266 instead of Wi-Fi module because it has wide ranges of connectivity which the Wi-Fi does not performs. For voice control, we are using Google Assistant interfaced with Node MCU 8266.
The approach followed here was to find a better alternative to all the things being used previously for the development of automated wheelchairs. We have used mobile application (BLYNK) to control the motion of wheel chair. The position where we want to mount the movement will dependent on the choice of the user. All the hardware used is simple to implement which reduces the cost automatically but interfacing them together is the task that is difficult. Addition of joystick and provision of BLYNK mobile application provide alternatives to the user so the total dependability is on the user. The frame of the wheelchair is built from scratch which reduced the cost by half.
The first step in the implementation of this project was the designing of a basic frame that is light in weight but still strong enough to hold the weight of a person with 100 kilograms of weight. The frame was also tested at every step for its durability and stability. The second step which is implemented is the interfacing of the microprocessor used for this purpose which is Node MCU 8266, Arduino. WIFI module sensor which is already placed in MCU will control the movement at any rotation as it has a wide range of WIFI signal which is easily accessible at any place and all the hardware that is needed to be used was interfaced together and then programmed to perform the desired functions.
Next, this project targets controlling wheelchair for handicaps using the human voice. The speech acknowledgment framework is a helpful method for usage. Different voice commands are used to control movement of wheelchair at certain different angles. Voice control sensor chips are placed in wheel chairs which receive voice signals and then the motion is controlled accordingly. Different projects are being implemented where voice sensors are placed that are then interfaced with hardware to control the motion at certain various positions. For this purpose we have interfaced ESP-8266, io.adafruit, IFTT and Google Assistant.
Lastly, there is the proposed framework for helped versatility utilizing eye developments dependent on Electrooculography. EWC is constrained by eye development which is obtained utilizing Electrooculography. Additionally, there is the proposed coordinated answer for movement arranging and control with contribution from sources.
According to all these advancements and progressions especially in the assistance of the disabled, our project is considered an innovative idea that will aid the life of the disabled. This modest invention is built on the premises of creating a well-known connection between communication and hardware to help the disable become independent; they will exert less effort as the wheelchair will be controlled via a specific android application.
The project which is going to be implemented is mobile control wheel chair. The movement of this chair is controlled by an application named as BLYNK interfaced with Arduino UNO and node MCU 8266. The objective is to create a system that helps the incapacitated to locate their wheelchair’s position and to move it via specific application to the desired destination.
STEP 1
Basic Framework
The base of this project is wheel chair that is made from raw steel pipes to make it more cost efficient. Our main target to make this wheel chair is its low cost and to make it more reliable and efficient.
Figure 1 WHEEL CHAIR
STEP 2
Motor Selection
The DC motors that were used in our project were wiper motors. Two motors are being used one operate using 11.98 V DC with a rated current of 9.98 A and the other at 12.0 V DC with a rated current of 9.7 A.
STEP 3
Battery Selection
The battery which we have selected is 12 V dry battery which bears the current and RPM drawn from the wheel chair
Figure 3 BATTERY
STEP 4
System Control
In order to control the system’s inputs and outputs, programming codes are used to facilitate the process through the use of an node MCU 8266 and Arduino board. These both boards are interfaced with the wheel chair that connects the hardware to these two boards;
It is an open source IOT platform. Its works as a Wi-Fi module and has a capacity of different vast ranges. In our project we used NODE MCU in place of Wi-Fi module because MCU has more chip capacity and it performs many functions at a time instead of WI-FI module that only performs single task per time.
After interfacing the node MCU we moved towards Arduino connections. Arduino is used to develop interactive objects, taking inputs from a variety of switches or sensors, and controlling a variety of lights, motors, and other physical outputs.
Figure 5 ARDUINO
STEP 5
Sensor Details
Different voice commands are used to control movement of wheelchair at certain different angles. Voice control sensor chips are placed in wheel chairs which receive voice signals and then the motion is controlled accordingly.
The wheel chair will turn on and off, once the person blink the eyes
B-Spline is a technique that allows the motion control of any moving vehicle to be controlled gracefully, special type of mechanism that has been used to control the motion of a wheelchair as this is an automated path.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino Uno | Equipment | 1 | 450 | 450 |
| Chair | Equipment | 1 | 4000 | 4000 |
| Welding Labour | Equipment | 1 | 8000 | 8000 |
| Material | Equipment | 1 | 15000 | 15000 |
| Wire Bundle | Equipment | 3 | 2100 | 6300 |
| Viper Motor | Equipment | 2 | 6000 | 12000 |
| Wheels (Back) | Equipment | 2 | 3000 | 6000 |
| Wheels (Front) | Equipment | 2 | 1500 | 3000 |
| Node MCU | Equipment | 1 | 800 | 800 |
| Relay | Equipment | 8 | 60 | 480 |
| Joystick | Equipment | 1 | 400 | 400 |
| Battery | Equipment | 1 | 4700 | 4700 |
| Gyroscope Sensor | Equipment | 1 | 500 | 500 |
| Ultra-Sonic Sensor | Equipment | 1 | 600 | 600 |
| Cable Ties | Equipment | 3 | 1000 | 3000 |
| Switch | Equipment | 2 | 400 | 800 |
| Stationary | Miscellaneous | 1 | 4000 | 4000 |
| Printing | Miscellaneous | 1 | 2000 | 2000 |
| Board , motors (For Demo) | Miscellaneous | 2 | 1512 | 3024 |
| Total in (Rs) | 75054 |
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