Beyond Text and Voice: What is AI Gesture Control?

How Gesture Control Could Transform the World

In some ways, the rise of Artificial Intelligence is all about making the world a more convenient and intuitive place. With the right machine learning algorithms and AI solutions, businesses can become more efficient, devices can be more productive, and end results can be more compelling.

One of the focus areas for AI has been the growth of the “Natural User Interface” or NUI. This allows users to quickly immerse themselves within applications and master the control over common computer components with minimal typing, clicking, or learning. NUI control is crucial for VR and AI applications that are designed for the gaming industry, but also has astronomical potential in other areas too.

One of the most important contributes to NUI is a touch-free gesture control system which allows individuals to manipulate virtual objects and computer components just as they would a physical item. This process completely removes dependencies on mechanical devices like mice and keyboards.

The History of Gesture Control Devices

One of the first steps that the world made into the AI gesture control devices was recorded in the gaming world. During the 1970s, gloves were designed to capture motions and hand gestures, using tactile switches and resistance sensors to measure the way joints bent and moved. Unfortunately, these gloves were clumsy and difficult to use, and didn’t exactly embrace the intuitive nature of AI.

As machine learning algorithms continue to evolve, and companies began to realise that they could teach computers how to respond to visual input more effectively, the technology in the gesture control world evolved. In 2010, Microsoft released their Kinect motion controller, which users motion capture capabilities to free players from the physical input devices of the past.

Combined with basic elements of AI, gesture control devices can become gradually more efficient as they learn the individual quirks and characterises of the people that use them. For instance, a device like the Kinect could learn what running looks like in the context of the players that use a specific system. This means that it would be able to record activity more accurately.

Gesture Control Outside of the Gaming World

While gesture control obviously has a fun entertainment component to it, the platform could also support a range of other applications too. For instance, in the sports world, companies have begun to develop practical coaching applications that help athletes to get better at things like baseball and golfing. Alternatively:

  • In retail: Digital signage points and display points could be controlled more easily and without hygiene issues by using gesture control instead of touchscreens. This enables customers to engage with information during their shopping experiences in a more fast-paced and convenient way.
  • In transportation: Gesture control could be a way to minimize distractions behind the wheel. As automobile manufacturers come up with more natural ways for drivers to control infotainment systems, gesture control enhanced by AI could keep eyes on the road.
  • In technology: Drone manufacturers are already creating drones that can fly without the need for a remote control.

As new IoT solutions emerge and the digital world becomes more advanced, a natural touch-free interface could be a great way to help users engage with intelligent environments and devices.

 

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