Speculations on time starting back up/google glass

We seem to be on an edge all of a sudden. I am noticing it now with this new fleet of "smart" devices. For instance this new Samsung Galaxy Note II I just got is unfathomably smart, it films in HD, takes pics in HD etc. When I type on it, it basically knows what I am about to type next and it LEARNS from me and it gets better at anticipating what I am about to type. It's already learned I like to use the word "fuck". It captures "3D" audio. Like when a squawking bird flies by and I am filming it, goes by ear to ear with almost too perfect ear to ear fading. It has a built in stylus that say you leave it somewhere, it basically tells you, "hey, you left me behind". When taking a picture at night, just having it in front of your face and filming or shooting a subject is MORE CLEAR than the vision I have with my brand new glasses. It knows when to switch back and forth from network to when it finds a WiFi spot. It always knows where you are. It knows the planets, planes, stars and satellites above. It allows me to take pictures of my debit card and use it for transactions. It can sense when other like devices are nearby. It's light, skinny, display is brilliant, has HD camera on both sides, boots in about 4 seconds and has excellent battery life. You can hold it up to a like device and it will automatically transfer data.
Did I mention I can make phone calls on it?
Anyhow, just read this RE the forthcoming Google Glass:
Google Glass app identifies you by your fashion sense
http://www.newscientist.com/article/mg2 ... sense.html
Did I mention I can make phone calls on it?
Anyhow, just read this RE the forthcoming Google Glass:
Google Glass app identifies you by your fashion sense
07 March 2013 by Paul Marks
Magazine issue 2907. Subscribe and save
CAN'T find a face in the crowd? Not to worry, a human recognition system can spot people for you – even when their faces aren't visible. Designed for Google's forthcoming Glass headset, it recognises people by the clothes they are wearing. Their name is then overlaid on the headset's video.
The system, called InSight, is part-funded by Google and was unveiled at the HotMobile technology conference in Jekyll Island, Georgia, last week. It aims to help users find their friends and be spotted themselves in busy places like shopping centres, sports stadia and airports. Face recognition systems cannot be used for this, says InSight developer Srihari Nelakuditi at the University of South Carolina in Columbia, because it is unlikely someone in a crowd will be looking straight at a headset's camera.
So Nelakuditi joined forces with Romit Roy Choudhury and colleagues at Duke University in Durham, North Carolina, to develop a recognition system based on a "fashion fingerprint" of a person's outfit, from their clothes to their jewellery, badges and glasses.
This fingerprint is constructed by a smartphone app which snaps a series of photos of the user as they read web pages, emails or tweets. It then creates a file – called a spatiogram – that captures the spatial distribution of colours, textures and patterns (vertical or horizontal stripes, say) of the clothes they are wearing. This combination of colour, texture and pattern analysis makes someone easier to identify at odd viewing angles or over long distances.
Usefully, in terms of protecting people's privacy, the fingerprint changes every time you change your clothes, so you can be anonymous again whenever you wish.
"A person's visual fingerprint is only temporary, say for a day or an evening," says Nelakuditi.
In early tests using 15 volunteers, the team identified people 93 per cent of the time, even when they had their backs to the headset user. Matching data from the phone's motion sensor with motion in the Glass field of view will boost accuracy.
"There are a lot of personal characteristics that make us unique," says Mark Nixon, a biometrics specialist at the University of Southampton, UK. "Clothing and movement are highly related to gait – and gait has been shown to be unique."
The system could be used by someone who wants to attract attention to themselves and their CV at a job fair, or outside a stadium where they are selling a spare ticket, the team says.
It could perhaps even help people with a condition known as face blindness – a neurological disorder that makes it impossible to recognise others – by telling them the names of friends nearby.
http://www.newscientist.com/article/mg2 ... sense.html