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www.expresscomputeronline.com WEEKLY INSIGHT FOR TECHNOLOGY PROFESSIONALS
11 December 2006  
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Home - Technology - Article

World News

  • Artificial eyesight
  • TIDC 2006 to showcase the Boston Digital Arm from Liberating Technologies



Artificial eyesight

Forehead Retina System (FRS) is a high-tech solution to what was formerly an insoluble problem. It literally enables the blind to see. The goal is to improve the quality of life for visually handicapped people.

The prototype is being developed with a form-factor that resembles sunglasses. The system converts visual information into tactile sensations using a small camera and 512 electrodes embedded inside a headband and mounted on the forehead.

According to a WHO report in 2003, approximately 45 million people are completely blind and about 135 million have low vision. FRS will give them a 2D representation of an object. The image is captured by the camera then converted to tactile sensations by electrical stimuli. An appropriate training module is necessary for using this device successfully.

Several technologies are used for FRS.

Nerve selective stimulation. Says Dr Hiroyuki Kajimoto, Research faculty at the University of Electro-communications in Japan, “There are several mechano-receptors in our skin. These are a kind of sensor that is activated by mechanical deformation of the skin. This activity is transmitted to our brain through nerve fibres, generating the sense of touch. Each type of mechano-receptor is responsible for a different type of mechanical deformation.” Independently stimulating each type of mechano-receptor’s nerves in our skin, complex tactile sensations can be reconstructed by combining them. This process is similar to the visual colour construction method using RGB. It is called the ‘Tactile Primary Colour Approach.’ By appropriately designing electrical potential distribution using multiple surface electrodes, each type of receptor can be selectively stimulated. In FRS, the Meissner corpuscle, which responds to low frequency vibration (of about 30 Hz), is selectively stimulated; this gives a vibratory sensation to the person wearing the instrument. “Our electrical stimulation mainly stimulates the Meissner corpuscle, therefore it induces a vibratory sensation which is quite easy to perceive,” adds Kajimoto.

High speed switching. In FRS, unlike conventional co-axial electrodes, a matrix of electrodes is used. Each electrode alternates between anode and ground to form a virtual co-axial electrode, enabling denser alignment.

Forehead stimulation. Sensory substitution through electrical stimulation is old, but using the forehead as a stimulation area is a new approach. However, forehead stimulation is quite reasonable. It is easy to put on and take off, while coordinate system transformation in our brain is easier than would be the case with other parts of the body.

Image processing. An image is captured by the camera and then converted to tactile information through two processes. Firstly, to enhance the edges, spatial outline extraction is performed. Then to enhance time-varying information, temporal band-pass filtering is done. These are actually what the retina does. FRS imitates the pre-processing done by the real visual system to facilitate image recognition.

A CCD camera attached to a pair of sunglasses captures the view in front of the subject. After extracting the edges, the data is converted to a tactile stimulation pattern and transmitted to the driver circuit via a standard serial port. 512 electrodes are driven sequentially to create the tactile pattern. The entire process is triggered by the image capture event, which occurs every 33 ms (30 fps).

The basic electrical stimulation technology is inherited from ‘Smart-Touch’ [Kajimoto et al. 2003] which is a visual-to-tactile conversion system for the skin on the finger. Edge extraction is done using luminance information followed by extraction of specific colours using a colour key. Extraction of the outline edge is done using an ordinary Laplacian of Gaussian (LOG) filter. After that, the image is scaled down to a resolution of 32×16, and using threshold a black-and-white binary pattern is obtained.

Research on FRS is being conducted by Tachi Laboratory in the University of Tokyo and EyePlusPlus Inc. According to them, FRS should be widely available by 2007.

Kushal Shah

TIDC 2006 to showcase the Boston Digital Arm from Liberating Technologies

Texas Instruments will showcase the world’s first thought-controlled bionic arm at the Texas Instruments Developers Conference India to be held on November 30 and December 1, 2006 at Bangalore.

The Boston Digital Arm from Liberating Technologies (Massachusetts, US) is driven using electrical or myoelectric signals that are sent from the brain, allowing amputees to rotate the wrist and arm, bend the elbow, and grip with the hand just as someone with a fully-functioning arm would. To date, artificial arms have been mechanically controlled, requiring users to physically control artificial arms by flexing their shoulders to actuate a pulley system. The bionic arm was the grand winner in the Personal Health category in the Best Of What’s New Awards organised annually by Popular Science magazine. The arm is more flexible and capable than most prosthetic devices due to the control optimised performance and integration offered by TI’s TMS320C2000 DSP-based digital signal controllers.

“When Liberating developed their system, they considered both MCUs and digital signal controllers,” said Andrew Soukup, C2000 marketing manager, TI. “They selected TI’s C2000 controllers because of their abilities to generate pulse width modulated (PWM) signals for the most efficient method of driving the DC motors that are used in prostheses. One TI digital signal controller gave Liberating the ability to drive five motors, expandable to nine with an add-on module. In contrast, some competing solutions require two MCUs to drive only three motors.”

TI’s C2000 controllers provide the world’s first bionic arm with the performance and integration to process signals from myoelectric sensors to control up to five motors, allowing users to accomplish tasks like reaching for and grabbing an object at the same time.

Traditional artificial limbs are limited to controlling only three joints one at a time—the elbow, wrist and hand. Liberating identified control system inflexibility as the primary limiting factor in upper limb prosthetic performance, and was determined to leverage the latest advancements in control technology when developing the Boston Digital Arm.

 


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