Abstract: Increase in the role of computerized machines in our day-to-day life, Human Computer Interaction (HCI) has become an important part of the human life. HCI controls the effective utilization of the available information flow by the interfaces between the humans and computers. It recognizes the users’ body movements and translates them into the machine commands. There is an increasing need for the assistive technology today, to help disabled people to attain some level of autonomy in terms of movement and communication. There are various biomedical signals (bio-signals) that can be used for the neural linkage with the computers, which can be obtained by a specialized tissue, organ, or cellular systems like nervous system. Such as Electroencephalogram (EEG), Electro-oculogram (EOG) and Electromyogram (EMG). Such approaches are extremely valued for specially-abled persons. Many attempts have been made to recognize and use signals from the gestures made, for developing HCI. Signal controller and processing is proceeding in many directions along with the signal development and classification for graphical controller, this enables the especially abled to use word processing program and other personal software and internet. This paper discusses the different types of Bio-medical signals, methodologies and classification for the purpose of interpreting the signals into machine command.
Keywords: HCI, Bio - Medical Signals, Electroencephalogram (EEG), Electro – Oculogram (EOG) and Electromyogram (EMG).
| DOI: 10.17148/IJARCCE.2020.9514