The researchers at Dartmouth University are working supposedly the next big thing for wearable smartwatches. The object recognition and manipulation technology are still in its infancy, however, when done right, it has a lot of potential for wearable devices. Because the smartwatches have the smaller screen, it is generally difficult to make sensible inputs. When precise object recognition and hand lateral movement( slide, hinge, and rotation) is made available, the wearables would get smarter than they are now.
Researchers from Dartmouth College and the University of Calgary (USA) in collaboration with Chinese People’s University have developed the Indutivo smart sensors with the use of electromagnetic inductive technology. The system currently recognized the objects and movements with the 95.6% of accuracy. This is a huge leap in object recognition technology.
How does it work?
If you want to pair the object and the device together with each other, you need to come up with a single standard of communication and the objects should also be equipped with electronic chips so that they could make themselves seen by devices. Electromagnetic induction is the possible geeky solution.
It is hard to understand technology but in simple terms, it can be explained in the following way. The sensors on the sides of smartwatches will be equipped with 5 inductive coils. During the operations, those coils generate low electromagnetic current to the nearby objects. The objects emit a certain pattern of waves which are then recognized by the sensors.
The system also detects the fingerprints and motion. Currently, the sensors can recognize common household items, gadgets and plastic items such as bottles. As you can see the objects that do not conduct the electric current were also identified. How was the watch capable to detect them? Everything is very simple. For each non-conductive item, a unique sticker was cut from aluminum foil.
During a series of tests, the developers checked their gadget on 23 items and the recognition accuracy was 95.8%. Although the technology is still in its early stage, paired with AI, it will make a great impact on our everyday lives.