Brain Computer Interface Challenges

Brain computer interface (BCI) allows users to control computers and other devices with their thoughts. BCIs record the user’s brain activity, translate it into commands that can be used to operate the device, and present feedback to the user so that it can allow him or her to correct the inputs that generated errors.

The most commonly used method for developing BCIs is through the use of electrodes that are connected to the body or head to capture brain signals. The digital signals are then analyzed to extract the relevant features of the signal that match the user’s intention. The features that are extracted can include EEG or ECoG response magnitudes and latencies, as well as power within specific EEG or ECoG frequency bands as well as firing rates of individual cortical neurons.

Based on our survey people are enthusiastic about the possibility of using BCI technology for a variety of purposes. It is clear however that BCI researchers must address the numerous concerns voiced by the public and their own experts in order to ensure the responsible development of this new technology.

One of the biggest issues that remain one of the most important is the improvement of BCI reliability. A BCI must be as reliable in real life as muscles-based actions. This requires an CNS that is sufficiently flexible to let the BCI to recognize and execute the intended commands. Another issue is the cost of invasive BCIs, which require ongoing and initial implantation as well as technical support costs. If these costs can’t be decreased significantly the commercial viability of a BCI will be limited to patients with severe disabilities.

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