Time sensitivity improves performance when it comes controlling robotics and remote controlled vehicles, a new study reports.
Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
A new project dubbed Brainternet can turn the brain into an Internet of Things node online.
Researchers have developed software capable of measuring writing speed and the pressure of a pen on a page. Asking volunteers to draw spirals, and using the new technology to analyse both speed and pen pressure, researchers were able to detect who had Parkinson's, as well as the severity of the disease.
McGill University researchers have developed a deep learning algorithm capable of detecting signatures of dementia in patients two years before the onset of symptoms by reviewing a single PET brain scan.
Researchers have developed a new algorithm that uses deep learning techniques to automatically detect and recognizes soccer formations.
As technology is improving and becoming more accurate at deciphering whether a person is lying or telling the truth, researchers debate whether such technology should be used in legal cases.
A newly developed cognitive hearing aid can monitor brain activity to determine who a person is listening to and amplifies that voice to assist the listener. The technology can help a hearing impaired person follow a conversation in a noisy environment far more easily.
As social robotics is becoming more popular, researchers explore how people react to the technology. They report people show significantly stronger liking to faulty robots than those that interact perfectly.
A new artificial neural network can assess a viewer's reaction to movies based on patterns of facial expressions. With enough information, researchers say the ANN will be able to assess how an audience is reacting to a movie and predict an individual's response based on a few minutes of observation.
A new computer system is able to see hand poses and track multiple people in real time. Researchers say that being able to detect nuances of non-verbal communication, robots will be better able to perceive what humans around them are doing.
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Researchers at UCSD have developed a new gesture recognition glove that can wirelessly translate the ASL alphabet into text. The glove can also communicate back by controlling a virtual hand and mimicking gestures.