Neural signals: the natural human-to-computer interface, a demonstrated talk

BioControl Systems (BCS) has created a novel human computer interface (HCI) using state of the art real time biosignal processing. This technology enables an individual to control a computer using eye movement, muscle tension and gestures, and even thought patterns. Currently, BCS has three issued patents on eye controller technology and three patents pending on various other biocontroller technologies. In 1992, BCS released its first product, the BioMuse, which is a biocontroller development platform. The heart of a biocontroller is a three state process involving: bioelectric signal acquisition; signal processing for pattern recognition or extraction of desired elements of the biosignal; and mapping of the results of the signal processing algorithm to some desired output code which controls external electronic devices. This configuration allows flexibility in mapping biosignal inputs to output code and also allows for specific applications to be created in software without the need for specialized transducers on the body. The device has eight input channels with programmable gains and filters that can be configured to process virtually any bioelectric signal. Currently, BCS is directing its development efforts toward utilization of four main types of bioelectric signals: electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG),and Electrocardiogram (EKG). To date, BCS has implemented various signal processing algorithms which enable those biosignals for use as biocontrollers