Like big data, big context will be in our vocabulary in the future. Information like location data, social media sharing, and physical activity will create context for ambient intelligence around us. Big Context will also be outsourced and computed away from the home and in the cloud. Though big context is inevitable, how can we control devices in the near future.
Without Context - Let's say you come home from work and you have programmed your smart lights to turn on when you come home from work. The beacon in your home receives the signal from your phone that you have pulled your car into the driveway. The lights turn on and your wife Lynda is woken up from her nap on the couch.
With Context - You pull your car into the driveway, signaling your home system to turn the lights on. But the system recognizes that Lynda's heart rate is going at a pace that signifies she is sleeping. By using this data as well as her location in the home, the lights don't turn on.
This is a very simple example of how context from data could change the decisions can be made by an in home system. This type of scenario is technologically capable now, but research is not to the point where visual and habitual data can be detected instantly.
Context in the works
Quividi has developed a system that tracks audience sizes within retail spaces. The system recognizes faces to predict age and gender of the audience. Though this technology is moving in a progressive direction towards context, it takes about 2 years to gather enough data for market analysis.
Power over ethernet or POE is a system that passes data as well as electricity over a single line. This technology can enable a device such as a camera to be connected through one single connection. We will use this to keep all parts of the building electrically and data connected on one single line.