Hand Recognise Gestures Using Wearable Biosensors

 

This gestures algorithm has been taught to recognise 21 unique hand gestures,

including thumbs-up , fist , flat hand , holding up individual fingers and counting numbers

This device uses wearable biosensors and artificial intelligence (AI) to recognise 

hand gestures from electrical signals in the persons forearm

This device was developed by team of international researchers,

the device can potentially help control prosthetic limbs using electrical signal.

The team detailed their work in a paper titled ' A wearable bio sensing system with in-sensor adaptive machine learning  for hand gestures recognition'

The bio sensing device has a flexible armband to detect electrical signals 

from 64 points on the forearm .Its also has an AI- powered electrical chip correlate  with signal patterns detected in the forearm with specific hand gestures

"When you want your hand muscles to contract , your brain sends electrical signals 

through neurons in your neck and shoulders to muscles fibres in your arms and hands ,Essentially ,what the electrodes in the cuff are sensing is this electrical field," Ali Moin ,a doctoroal student at UC Berkeley , explained in a release.

The training process innvolves wearing the cuff and performing specific hand 

gestures , one at a time , to help AI learn. According to the researchers, a new 

type of advanced AI used in the device , can also update itself with new information

"Reading hand gestures is one way of improving human-computing interaction.

And, while there are other ways to doing that , by, for instance , using cameras 

and computer vision , this is a good solution that also maintains an individual's privacy," Moin noted.

As the electronic chip does all the processing locally , it reduces the computing 

times, and also does not transmit a user's transmit a user's personal data to other 

other devices in close proximity , the release stated.

"Most of these technologies already exist elsewhere , but what's unique about this device is that it integrates the bio sensing, signal processing and interpretation , and artificial intelligence into one system that is relatively small and flexible and has a low power budget," Jan Rabaey , professor of Electrical Engineering at UC Berkeley and lead author of the paper , said.

The device still needs too developed for use in commercial products.