Attention Makers

CATEGORY: ROBOTICS

Brain Computer Interface for Physically Challenged

MAKERS: Maha

The aim of the project is to provide simple, economic yet innovative solutions for empowering the physically impaired to stand on equal footings with others by reducing their dependence on others. The project is based on brain waves perception and interpretation for its application in robotic arm motion. The arm (prosthetic arm) is controlled just by inference of signals from brain via EEG sensors. In our work with brain?actuated robotic arm, we target a population who are unable to use conventional interfaces; due to severe motor?disabilities these involve people with muscular dystrophy, spinal cord injuries, Amyotrophic lateral sclerosis ALS, and cerebral paralysis. Noninvasive brain computer interfaces (BCIs) offer a promising new interaction modality that does not rely upon a fully functional peripheral nervous system to mechanically interact with the world and instead uses the brain activity directly. For the disabled, the ability to move about using the power of their minds could be life changing. And thus this could be useful for people who are paralyzed, and are unable to control parts of their body enough and can activate it just by using their thoughts. The signals are taken from left and right motor cortex area into the MATLAB for training the classifier by collecting data for known examples. Say this can be achieved by asking the user to think of lifting up his arm many times and label the received data as that for raising his arm and likewise data can be obtained for various other motor actions and labeled for use in the supervised learning techniques. The data is classified using support vector machine algorithm in MATLAB for controlling robotic arm motion via Arduino. Team members Maha Shafiq Muhammad Haris Bukhari Muhammad Saad Muhammad Saad Muhammad Zia ul Qamar

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