Wednesday June 26, 2019

Researchers Develop Novel Device to Improve Diagnosis of Dizziness

In this technology, detailed in the journal Medical Devices: Evidence and Research, the sound levels which patients are exposed to can be minimised

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Dizziness
Novel device to improve diagnosis of dizziness.

Researchers have developed a new vibrating device using bone conduction technology, that can identify the causes of dizziness.

Half of older adults over 65 years suffer from dizziness and problems with balance. However, the current tests to identify the causes of such problems are painful and can risk hearing damage.

The novel type of vibrating device, developed by researchers from the Chalmers University of Technology in Sweden, is placed behind the ear of the patient during the test.

According to Bo Hakansson, Professor at Chalmers, the vibrating device is small and compact in size, and optimised to provide an adequate sound level for triggering the reflex at frequencies as low as 250 hertz (Hz).

But in bone conduction transmission, sound waves are transformed into vibrations through the skull, stimulating the cochlea within the ear, in the same way as when sound waves normally go through the ear canal, the eardrum and the middle ear.

Dizziness
Dizziness. Pixabay

In this technology, detailed in the journal Medical Devices: Evidence and Research, the sound levels which patients are exposed to can be minimised.

“The new vibrating device provides a maximum sound level of 75 decibels. The test can be performed at 40 decibels lower than today’s method using air conducted sounds through headphones,” said Karl-Johan Freden Jansson, postdoctoral researcher at Chalmers.

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“This eliminates any risk that the test itself could cause hearing damage,” Jansson added.

The benefits also include safer testing for children, and that patients with impaired hearing function due to chronic ear infections or congenital malformations in the ear canal and middle ear can be diagnosed for the origin of their dizziness, the researchers said. (IANS)

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Researchers Teaching Artificial Intelligence to Connect Senses Like Vision and Touch

The new AI-based system can create realistic tactile signals from visual inputs

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Artificial intelligence, road infrastructure
The fully-automated system is based on AI-powered object detection to identify street signs in the freely available images. Pixabay

A team of researchers at the Massachusetts Institute of Technology (MIT) have come up with a predictive Artificial Intelligence (AI) that can learn to see by touching and to feel by seeing.

While our sense of touch gives us capabilities to feel the physical world, our eyes help us understand the full picture of these tactile signals.

Robots, however, that have been programmed to see or feel can’t use these signals quite as interchangeably.

The new AI-based system can create realistic tactile signals from visual inputs, and predict which object and what part is being touched directly from those tactile inputs.

Teaching, Artificial Intelligence, Researchers
) A team of researchers at the Massachusetts Institute of Technology (MIT) have come up with a predictive Artificial Intelligence (AI). Pixabay

In the future, this could help with a more harmonious relationship between vision and robotics, especially for object recognition, grasping, better scene understanding and helping with seamless human-robot integration in an assistive or manufacturing setting.

“By looking at the scene, our model can imagine the feeling of touching a flat surface or a sharp edge”, said Yunzhu Li, PhD student and lead author from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).

“By blindly touching around, our model can predict the interaction with the environment purely from tactile feelings,” Li added.

The team used a KUKA robot arm with a special tactile sensor called GelSight, designed by another group at MIT.

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Using a simple web camera, the team recorded nearly 200 objects, such as tools, household products, fabrics, and more, being touched more than 12,000 times.

Breaking those 12,000 video clips down into static frames, the team compiled “VisGel,” a dataset of more than three million visual/tactile-paired images.

“Bringing these two senses (vision and touch) together could empower the robot and reduce the data we might need for tasks involving manipulating and grasping objects,” said Li.

The current dataset only has examples of interactions in a controlled environment.

Teaching, Artificial Intelligence, Researchers
While our sense of touch gives us capabilities to feel the physical world, our eyes help us understand the full picture of these tactile signals. Pixabay

The team hopes to improve this by collecting data in more unstructured areas, or by using a new MIT-designed tactile glove, to better increase the size and diversity of the dataset.

“This is the first method that can convincingly translate between visual and touch signals”, said Andrew Owens, a post-doc at the University of California at Berkeley.

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The team is set to present the findings next week at the “Conference on Computer Vision and Pattern Recognition” in Long Beach, California. (IANS)