Electrooculography (eog) is a technique for measuring the corneo-retinal standing potential that exists between the front and the back of the human eye. the resulting signal is called the electrooculogram. using the concept of eog i conducted a research on eog based applications that utilise the corneo-retinal standing potential that exists between the front and the back of the human eye as the primary source of input method. based on my understanding i developed a wireless wearable human computer interface that can be utilised for various application. i read various published papers and links related to eeg, eog and on the basis of the information available i used an open-source hardware provided by the openbci community and eeg softwares to conduct research and develop the device. the eog device consists of electrodes placed over the forehead that records the corneo-retinal standing potential. an instrumentation amplifier circuit further helps to process the potentials and sends it as an input to the micro-controller processing unit. the micro-controller further interprets the incoming data to be utilised for onboards functions and wireless transmission for software based function using the bluetooth technology. the software platform is an open-source platform known as the assistive context-aware toolkit (acat) to which the interface acts a switching device or as a human computer interface. the user wears the device and with the help of eye movements controls the onboards device functions as well as software based functions with no other means. the device is equipped with all the function that can act as an assistive technology for major disabilities related to motor neuron diseases(mnd’s) or an type of impairment. in addition to the main device, a finger based dataglove have also been implemented that takes care or minor function for users with limited need of assistance.