That jawbone blog item is really good on Big data.
So where does Jawbone get their algos anyway....
well they used to get them from a 3rd party; MotionX. But it seems Jawbone split from them
http://www.wareable.com/meet-the-bo...x-too-many-sensors-are-counterproductive-7383
one snip
Take this year's most anticipated fitness tracker, the Jawbone UP3.
"Thank god we have nothing to do with that," Kahn told Wareable. "Zero per cent of the tech on the device is ours, our infrastructure is still on the app of course. It's not the right device and they're also having a hard time getting it out.
So MotionX is out at Jawbone; and they have taken over algos and no matter what Kahn says it is more likely as below.....
a snip
http://www.wareable.com/jawbone/jawbone-still-has-plans-for-a-waterproof-tracker-1182
Donahue also told us that the decision to part company with Fullpower Technologies and its MotionX tech – essentially the brains behind the activity tracking in previous UP wearables – was one that Jawbone made, rather than the other way around.
"We now have the expertise in house, in terms of algorithms, and we wanted to have a bit more freedom to push things we wanted to explore further," he explained. "When you have full control it's much easier to make tweaks on the fly."
They have learned the same lesson as QUIK did with Apical?
I expect that a company like QUIK will overhaul a company like MotionX. Already have,
It pays to think for yourself and I have read those market analysis folks say FItbit/Jawbone
will be flashes in the pan- my own opinion is different. Fitbit may well outsell the Apple device because they are in the sweet spot on price and Apple COSTS TOO MUCH ( my own opinion). There is no magic in a more full fucion device...fitbit CAN make a very nice Smartwatch or added function band.
ALgos are crown jewels if you are in the fitness band so I would do just like Jawbone; loose MotionX and go in house, what would make me change?
A better device, maybe one that had just solid CHRM that is better than in house. Maybe a month charge to get more data to work on.
Maybe someone who could move a FItbit up the food chain-beyond fitness-?
Sunday, July 12, 2015
I really, really like this item. Imagine if data like this starts to impact BIG choices in lives, say where you choose to live in relationship to where you work.
I like it because it allows changes that are good for the device user AND for the use of fossil fuels, etc. SO give it a read.
Nice work Jawbone,
PS this is BIG data getting crunched....
QUIK has an accurate step counter, it has in transport context ( in car) & if used in a device could be a part of this change.
See owning QUIK is a GREEN investment, I kind of like that thought as we wait for the S3.
this link is easier to read...
https://jawbone.com/blog/sleep-deprived-inactive-must-commuter/
same stuff is below for some....
The quantified commute: How longer work journeys impact our lives
Jawbone data shows long commutes equal a less healthy lifestyle
On average we spend a year of our lives just commuting, so there's little surprise that your daily trek to work has some pretty seismic effects on your lifestyle.
A delve into the data from Jawbone's fitness tracker users reveals a host of differences in the lifestyles of commuters; with the effects of longer and shorter journeys to work impacting our sleep, exercise patterns and even weekends. The company has revealed the full data on its blog.
Get your own data: Jawbone UP3 review
With longer commuters averaging lower daily exercise, less sleep and more sedentary weekends, this kind of mass data can help us all make better choices.
Delving into the data
It seems fairly obvious that those with longer commutes end up sleeping less – given most people have to get up earlier to make work on time. Those with 15 mile commutes or more end up going to bed 28 minutes earlier than non-commuters, and waking up 51 minutes earlier, making for a net loss of 24 minutes every night.
However, the effect carries into the weekend – and those with commutes get up 30 minutes before their counterparts on rest days, too.
Long commuters are also less active. Over the working year, those who commute over five miles will lag 100,000 steps behind short distance counterparts – which is likely to be the choice between the car and public transport.
And the weekend again shows the difference between the two distinct working lifestyles. Non-commuters clock up just under 1,000 steps more over a weekend than those who travel over 15-miles to work, and that demographic seems to take sedentary habits from the week into their free time, too.
And finally there's a difference between workout times. The average commuter's peak times for exercise are unsurprisingly 6am, 12pm and 7pm – while the non-commuter tends to run at 9am and 5pm. On the weekends, the two converge to nearly identical patterns again.
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