In reply to your original question - I believe there are available data
sets for Kemar head measurements - not quite what you asking for but it is
supposed to be an "average" head

http://sound.media.mit.edu/resources/KEMAR.html

On 24 January 2016 at 20:19, Augustine Leudar <augustineleu...@gmail.com>
wrote:

> I have idea of how hrtfs could be individually measured and could work on
> a commercial scale with minimum inconvenience to the public (so they might
> actually use it ). Not sure who to talk to about htis though.
>
> On 24 January 2016 at 19:31, Stefan Schreiber <st...@mail.telepac.pt>
> wrote:
>
>> http://www.blueripplesound.com/hrtf-amber
>>
>> The IRCAM AKG "Listen" HRTF data contains measured HRTFs from about 50
>>> different people - this must have taken a lot of effort and we're very
>>> grateful to the good folk of IRCAM for doing the work and making the
>>> results available to the world! What we've done is analyse this data and
>>> come up with an 'average' HRTF that is a sensible compromise, using some
>>> new work. As it's an average, it wouldn't be perfect for any of the people
>>> actually measured, but hopefully not awful for any of them either! It's
>>> certainly much better than conventional "panning" techniques.
>>>
>>
>>
>> (See also:
>>
>> http://www.blueripplesound.com/personalized-hrtfs
>> )
>>
>> We provide "generic" HRTFs models (for instance, our Amber HRTF <
>>> http://www.blueripplesound.com/hrtf-amber>) which work well for many
>>> people, but even better results can be achieved using personalized HRTF
>>> measurements.
>>>
>>
>>
>> Could any people, companies or institutions on this list provide access
>> to such a practical and < usable > generic HRTF model?
>>
>> If not: I believe that some essential theses and papers should have been
>> done in the academic world, but don't exist anyway.
>>
>> Richard Furse basically states that a "good" generic HRTF is derived from
>> many HRTF measurements (data sets) via some  form of averaging, as a
>> "sensible compromise". I doubt that this is a trivial process, though...
>>
>> Best regards,
>>
>> Stefan
>>
>>
>> P.S.:  VR companies will currently have to look into these issues, and to
>> find solutions which are practical at least < for most > people. If some
>> proposed HRTF data set doesn't fit to an individual listener it should be
>> pretty hard to distinguish between front/back sources, for example. (Even
>> with head-tracking.)
>>
>> Don't tell me that I didn't present a paper to prove my point... Instead,
>> give me the link to a paper which delivers some kind of optimized generic
>> HRTF data set. If such a paper doesn't exist (yet), I don't see any reason
>> why something like "Amber HRTF" can't be re-engineered.
>> (Amber HRTF itself is derived from IRCAM AKG "Listen" HRTF data, a public
>> available list. And even IRCAM should be interested to provide a good
>> universal  HRTF based on its own and public HRTF research!)
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>
>
>
> --
> www.augustineleudar.com
>



-- 
www.augustineleudar.com
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