Aloa !
A nice video for IBM experiment of smart cities in Honolulu in Hawai USA.
Clement Charles
Clement Charles 's thoughts
March 3rd, 2014
Smart Cities: the example of honolulu
May 13th, 2013
Comprehensive meta platform for QS and personal data
The world of Qs, data gathering and life logging is still very, very, fragmented to say the least. This fragmentation is also one of the current issues that normal user have that stops them of tracking their behaviors and habits. Indeed, correlation and therefore knowledge, is only possible were multiple data sets are in the same system, and can be correlated and produce information.
In that sense, I had the pleasure to discover three current project at the QS EU conference last week end. Fluxtream (captions above), ZenoBase and Sympho.Me . Fluxtream seems the most advanced and the most “exhaustive one” but ZenoBase is also great, smartly done and seems to work very well. Sympho.Me is still in early stage with no much source of data that can be integrated into the account. I will test them a bit more extensively and provide you a more detailed feedbacks in the coming weeks.
May 12th, 2013
David Andre, BodyMedia, presentation at QS EU 13
David Andre, from BodyMedia, gave a really interesting talk today at the QSEU13. Here is the key elements with my comments and some copies of slides.
There is a lack of meta-datas, of common standard, of “universal coding language” in the field of quantified self and self tracking. (slides).
There are Ia lot if issues with API. Indeed, you don’t access the firmware (raw data), a data is provided to you after being processed. An other way to say it it that you can access two very different types of information: information collected via API form serveurs / cloud OR information gathered directly from the devices (firmware) .
The way forward that is proposed by BodyMedia is based on the idea of meta data (common structure) and deviation tree (path of transformation of data). (slide). To remember: even if the media (= the most appropriate industry to have great index / meta-data), it’s hard to agree a common format and structure of data.
