‘Human/Machine Interfaces’ Archive

Human Eye Camera

Another step towards our inevitable merging with machines, at least in my eyes . George Milde has designed what he is calling the human eye camera. It’ been spcifecally build and tuned to show us exactly what the raw images captures by our eyes look like before our brain processes then into the view we are accustomed. It’s really [...]

Researchers Expand Clinical Study of Neural Interface Brain Implant: Scientific American

This is actually some exciting news! The researchers over at Brown University has been given the go-ahead from the FDA to run a pilot clinical trail to expand it’s work on Neural Interfaces. In 2000, Brown University began a program named BrainGate which includes a baby aspirin–size brain sensor containing 100 electrodes, each thinner than a [...]

pins and tumblers still?? Part 1 – Biometrics

If there is one that bothers me it’s keys. Everyday, everywhere I have to carry around this ring with hunks of metal attached just so I can lock my condo door, start my car, check my mail, etc. Why are metal keys and pin and tumbler locks still the standard? Here are Pros for our [...]

Human Auditory Frequency Range Limitations (Hardware or Software)

It’s known that the human ear can generally hear sounds with frequencies between 20 Hz and 20 kHz and that the range only decrease with age and with hearing damage. Yet, I wonder where in the human machine does this limitation lie?

Is this a limitation of our auditory detecting hardware (cochlea)? or is this a limitation with our processing bandwidth (brain, temporal lobe)?

Optic nerve signal interception, interpretation, manipulation and reintroduction for human/computer interface for use in augmented reality

I have been doing a lot of thinking lately about human/computer interfaces in respect to augmented reality. There seem to be, at least to me, a lack of serious research in the field of true human/computer interfaces.

Sure, we’ve been able to control simple systems by training ourselves to modify our brainwaves or flexing muscles to control an artificial limb. But this is more us adapting to the interface than us truly being one with the machine.

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