Posts Tagged ‘data’

Mimo | Helping Parents Rest Better

September 6th, 2013 by NearInteraction

There appear to be very few limits where the “quantified self” movement can go, especially if this piece of baby monitoring equipment designed to give parents peace of mind is anything to go by.

Mimo is a connected onesie that monitors a baby’s sleep and feeds the information back to parents using an integrated smartphone app.

For some it may seem like technology gone too far, but it could address the very real problem of 4,000 infants who die suddenly every year in the US, often with no obvious cause. Many of these deaths occur during sleep, so Mimo alleviates any fears parents might have by letting them know everything is alright, and setting off an alarm when things are not.

Available on a crowdfunding site this Thursday, the kit will cost $200. It comes with three organic cotton onesies that act as respiration sensors, a toy turtle clip that monitors movement, and a Wi-Fi base station shaped like a lily pad – fully equipped with a microphone.

The app that goes along with the equipment is available for Android and iPhone, collecting important information displaying events such as how many times your baby has rolled over in the night, longest nap, and other changes over time.

The company that made the device also had to deal with concerns over choking hazards, and making sure their wearable technology is still appealing to mothers, making them confident enough to put their infants in such a device.


Porthole, an augmented reality application, to provide a view into data environments

May 27th, 2010 by NearInteraction
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Porthole is an augmented reality (AR) application that provides a view into the data environments hosted by Pachube. Released initially for Mac OSX, it overlays realtime sensor data on your camera view and enables you to query the current status of sensor environments – to view quickly what types of sensor datastreams are present (e.g. light, humidity, electricity, air quality, etc.); what their current values are in relation to historical maxima and minima; how much they have varied over the last 24 hours; and graph the values of each datastream in 15 minute intervals over the last 24 hours.