Though there’s some distance to go before wearable computing breaks into the mainstream, the first wave of Apps on Google Glass has put things squarely into perspective.
While Path and New York Times adopted early, closing ranks now are the likes of CNN, Evernote, Elle, Facebook, Twitter and Tumblr.
In some ways, Glass is reminiscent of how smartphones miniaturized computers into pocket sized avatars. In the early days, the smartphone was billed as anything from being an overhyped fad to a geek’s game. A decade later, it has embedded indispensably into our daily lives.
Similarly, wearable computing isn’t too far ahead into its inception as of now. But make no mistake: it is the technology of the future. In due time, wearable computing apps will bridge information sharing and cutting edge technology like never before.
To begin with, apps for Google Glass built around consumer applications like social networking and e-commerce are already being conceived for unbelievable data digitization. In days to come, a casual glance is all it would take to map your surroundings digitally. It goes from parsing the social credentials of those around you, to picking up the tiniest detail on a product you just happened to pass by (or glance by)
Fitbit has already given a glimpse of what connected sensors tied to wearable computing apps can mean in the future. Their fitness device, no more than the size of USB stick, is equipped with embedded gyroscope and altimeter which picks up every step walked on a given day. The information passes on to a connected iPhone through Bluetooth for storage.
In a moment, physio-metabolic metrics, like how many calories lost in a day, the overall distance made on foot etc., are computed and ready to be shared with across your physician, friends, and family.
In a similar way, iPhone app Strivv links your iPhone wirelessly to its inconspicuous pedometer attached to any wearable accessory like a belt or a purse. Your activities are fed to its wearable iPhone app which keeps track of movement.
As technology veers towards embedded apps and connected sensors, starting off early is one way to align with and adopt the changing scenario, especially from a data aggregation standpoint. Wearable computing apps mean more data processing and storage
, and having that covered is the key to adoption.
SDI’s expertise and vision for data analytics is a great launching pad for stepping into the highly stimulating potential of possibilities that lie ahead.
This was a guest article from Raj Srivastav.
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