Attention Makers

CATEGORY: TRANSPORTATION

Smart wheel chair

MAKERS: Rati kumari Jha, Shweta Pathak, Ishant Pachauri, Abhishek Thakur COUNTRY: India

Our project will make a person independent.even it is useful for childrens too who are physically handicapped.it is cost effective.people can easily afford it.useful for childrens,adults ,senior citizens.

 

The Purpose

The project wheelchair motion control using eye gaze and blinks will be very useful for physically challenged persons .Eyes are our windows to this large universe.it is estimated that 150,000 severely disabled person able to control only the muscles of their eyes without any problem.using MATLAB application we are able to make eye controlled wheelchair which is user friendly.our chair is totally eye controlled which means if person is not able to speak this will become an advantage for those also.

The Technology

Since all the wheelchairs upto now are basically voice controlled but this one is unique it's totally eye controlled.We decided to use the web camera to detect the eye movements which will be further processed to drive the motors. For the simplicity and to make a prototype, we are going to design a small, motorized, wooden platform and we will use the web camera of laptop to access the direction of eye which further moves the chair . We will use wireless communication to communicate between the camera and the arduino microcontroller by Bluetooth .

Additional Details

Future scope recommendation involving the web camera would be to include more web cameras. With more resources it would be possible that every block of the control interface be its own web camera stream. This would allow the user to look at the "Backward" control block and the user would actually be able to see behind them as they go. we have to come up with a decision algorithm that will help the controller to drive the motors accordingly: a. Valid Left: The decision to turn left will be considered as valid if the eye turns left and stays there for a cycle. This action will be detected as a left turn request. After that, the patient will turn right to again look forward. Thus, this signal should be considered as void. b. Valid Right: Similarly, the decision to turn right will be considered as valid if the eye turns right and stays there for a cycle. This action will be detected as a right turn request. After that, the patient will turn left to again look forward. Thus, this signal should be considered as void. c. Valid Straight: The signal to go straight is when a person looks left and right or right and then left. This will be detected as to go straight. we have to come up with a decision algorithm that will help the controller to drive the motors accordingly: a. Valid Left: The decision to turn left will be considered as valid if the eye turns left and stays there for a cycle. This action will be detected as a left turn request. After that, the patient will turn right to again look forward. Thus, this signal should be considered as void. b. Valid Right: Similarly, the decision to turn right will be considered as valid if the eye turns right and stays there for a cycle. This action will be detected as a right turn request. After that, the patient will turn left to again look forward. Thus, this signal should be considered as void. c. Valid Straight: The signal to go straight is when a person looks left and right or right and then left. This will be detected as to go straight. To avoid detection errors, we incorporated an error handling mechanism, which specifies a threshold for the height and width of a valid eye, by calibrating it for the user. If the detection results give a height and width value lesser or greater than the threshold, the value is voided and not considered for the decision making.

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