Scientists from the University of California have developed a new device that uses an armband equipped with sensors and artificial intelligence (AI) program to recognize hand gestures.
This new device recognizes hand gestures based on the electrical signal sequences that can be found in the forearm.
This would translate to mean that one can type on a computer without a keyboard, play a video game with no controller or drive a car having no wheel.
Biosensors and AI improve prosthetic control
Ians of businessinsider said that according to the engineers from the University of California, this technological development can someday be used to further improve the prosthetic control or the interaction with any kinds of electronic devices.
Ali Moin, who helped in designing the device as a doctoral student in the Department of Electrical Engineering and Computer Sciences at UC Berkeley’s, said that this development will not just provide an important improvement in the prosthetics but this will further improve interaction between human and computer.
With the advancement of technology now, human-computer interaction can be further improved. Using biosensors that can pick up electrical signals from the forearm and process the information through the artificial intelligence program, there will be much improved human-computer interaction.
With the help of Ana Arias, a professor of Electrical Engineering at UC Berkeley, the team was able to invent the device which is a flexible armband that is able to read 64 different points of electrical signals from the forearm.
The electrical signals of the new device are then supplied into an electrical chip which will be processed by the Artificial Intelligence Program using an algorithm that is capable of associating these sequences of signals in the forearm with certain hand gestures.
Hand gesture recognition
The hand gesture recognition system, which the team have developed, recognizes 21 different hand gestures like a thumbs-up, a fist, counting numbers and several more.
When one wants to contract the hand muscles, electrical signals will be sent by the brain through the nerve cells in the neck, shoulders, to the muscle fibers in the arms and hands. In effect, the electrical field is being sensed by the electrical conductors in the armband. Although, it is not that accurate yet since the new device still can not locate the triggered exact muscle fibers. But with higher density of electrical conductors, it can still recognize certain patterns.
Like any other Artificial Intelligence Software, the algorithm has to be programmed to learn how electrical signals in the forearm correspond with different hand gestures.
Moin further said that in the recognition of hand gestures though, over time there will be changes in the signals that pose a challenge in the performance of the device. Thus, this device needs to be updated.
With the newly developed device, many studies and experiments are made possible. Although, this new device would not have been invented without good research. If anything, good research is not possible without a very decent computer such as the Skytech Prism II PC Desktop and the ASUS ExpertCenter D500SA Desktop PC.