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#26 | |
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If the uncontrollable operator's response time is 200+/-50 ms is there really any point in getting the hardware to operate in sub ms? B
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#27 | |
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Here's two rimshot samples separated by 200ms: http://f.cl.ly/items/1g3q0j2u1I2m3b2n173I/200ms.mp3 I get your point and it seems like it would be more important to achieve consistency than sub ms accuracy, but it's interesting to see how it can be solved and meeting flutillie's supervisors demands. |
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#28 | |
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Reaction time is the latency from the presentation of a stimulus to the output that is considered recognition of the stimulus (perception time + movement time). A rimshot or repeated finger-tap has no external stimulus to be perceived. The drummer or finger-tapper is using an internal rhythmic generator to produce output, not the perception of a randomly occurring external event. In digital circuit terms, it's the difference between an input-to-output latency vs. a signal-generator latency. If the software reads the input and flips the output after a calculation, it's completely different than if the software simply outputs a regular series of internally generated data. |
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#29 | ||
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If the latency of the system is consistently, say 10ms, then it can be subtracted from the result. If on the other hand it varies between say 10 to 25ms you can not do that, and get an error margin of 15ms. Last edited by subsonix; Oct 20, 2012 at 11:38 AM. |
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#30 | ||
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http://forums.macrumors.com/showpost...7&postcount=15 AFAICT, the infant reaction time along is the measured quantity. Everything else that adds latency is an error term. From the description provided, operator latency (reaction time) could easily be the largest error term, with a variability that exceeds all other latencies combined. Yet somehow, this error term does not seem to be accounted for, unless I'm missing something about the experimental setup. If "I" is the infant reaction time to be measured, K is the sum of all electronics and computer latencies, and O is the operator reaction time, then the total time T is: T = I + K + OIf we know T (the measured result) and K (measured before starting) but not O, how is it possible to determine the unknown value I with any accuracy, considering that O and I are of approximately similar magnitudes. If O were much less than I, one could characterize a range for O and maybe accept with the resulting error. Given that they're similar in magnitude, and arise from the same cause (human reaction time), it seems misguided to not take O into account. It seems even more misguided to worry about variations in K that are at least an order of magnitude less than variations in O. |
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