Columbia University Program on Internet of Things
Columbia University Program on Internet of Things
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  • Spring 2018 Projects
  • Spring 2017 Projects
  • Summer 2016 Projects
  • Spring 2016 Projects
  • Summer 2015 Projects
  • Summer 2015 - Lecture Series
  • IoT Map NYC
  • Home
  • Spring 2019 Projects
  • Spring 2018 Projects
  • Spring 2017 Projects
  • Summer 2016 Projects
  • Spring 2016 Projects
  • Summer 2015 Projects
  • Summer 2015 - Lecture Series
  • IoT Map NYC

Internet Of THings - Engineering Innovations and Commercialization
​EECS E6766 Summer 2016

Student Projects


Embrace - Smart Orthopedic Braces link
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The team developed a smart post-injury knee brace called emBRACE that collects the user's  extension and flexion knee data and then sends it to a web application for review by the patient and his or her doctor.  This prototype device was developed using an off the shelf regular knee brace obtained from a local pharmacy, two Wiced Senses, a custom Android mobile app, as well as back end support from Amazon Web Services.

Beacon on Board - Prevent Hot-Car Tragedies link
In the US on average, a child dies in a hot car every 10 days.  More and more parents want to buy a device for their peace of mind, but so far there are no reliable and affordable solutions in the market.
BeaconOnBoard prevents hot car tragedies by monitoring the interior of your car. If a child is inside and the car is getting too hot, it will send a notification to your phone along with a live picture from inside your car. You can also alert people near the car.
​BeaconOnBoard can provide millions of parents peace of mind by protecting their children with truly reliable and affordable technology. Our goal is to save lives and provide peace of mind for parents and pet owners with a device that is reliable, affordable, portable and easy-to-use.
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 Empower - Breast Milk Pump link (for access contact course instructor)
The introduction of a wireless device for effortless digital recording and analysis of milk pumping volumes would simplify the lives of moms and provide them with quantitative data to assess their pumping schedules, history, and productivity.  Visualization of this data will help our user make data-driven decisions about how to best meet her feeding goals, maximizing her child’s nutrition and long-term health.  This technology aims to automate data collection, storage, and visualization, and is the first of its kind to offer a seamless alternative to manual data entry.  In this work we develop an internet of things (IoT) solution, incorporating a sensor to measure milk volume and breast pumping time and durations.  Specifically, we utilize a liquid volume sensor to measure fluid measurements within a breast pump collection bottle. Fluid volume and time stamp data are broadcast locally via BLE connection to a previously-paired iPhone app (Empower Pump app) which displays the current and average pumping session data. 


Course Instructor: Z Kostic   zk2172 (AT) columbia (DOT) edu
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