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December 14th, 2015 
Awake Goy 
Susanne Posel ,Chief Editor Occupy Corporatism | Co-Founder, Legacy Bio-Naturals
December 14, 2015
At team at the Nankai University (NU) spent 2 years developing a mind-controlled car inspired by disabled drivers unable to steer their cars, and now their hard work has paid off.
This technology was developed with the financial assistance of Great Wall Motor.
Zhang Zhao, lead researcher, explained that by combining a device that can read brain signals by using 16 sensors in order to capture EEG impressions while the driver is operating the vehicle. The team took data from the apparatus and created a computer program that determines which signals are relevant to driving a car, translates them to the vehicle, thereby allowing the driver to control the car with his or her mind.
Zhao said the “EEG signals are picked up by this equipment and transmitted wirelessly to the computer. The computer processes the signals to categorize and recognize people’s intention, then translates them into control command to the car. The core of the whole flow is to process the EEG signals, which is done on the computer.”
The team used the mind-reading device produced by Emotiv to control the cars. This corporation is funded by the Engineering and Physical Sciences Research Council (EPSRC) and the Defense Science and Technology Laboratory (DSTL).
Admittedly, Emotiv will analyze “sensitive words and phrases which may be of concern to the military and national security agencies” with the use of the Natural Language Processing technique (NLPT).
This software program “monitors the traffic of sensitive words and phrases filtered through the ontology when applied to specific incidents, individuals and groups. Increased activity is indicated by frequency of occurrence or severity, which can be presented through a concept cloud which uses the size of words as a metaphor for frequency and hence importance, with a color-coded indication of the strength of emotion attached to the language-based terms.”
Then the “location of the emotionally-charged traffic” is confirmed through geolocating metadata which identifies “sensitive hot spots of communication and activities.”
The implications of this technology have financial consequences to a particular industry that survives solely because of human drivers.
Last year Robert Hartwing, president of Insurance Information Institute (III) warned that car insurance is so high possibly because “of the liability” of the driver and if this was alleviated, insurance premium costs would come down because “the driver [would be] more and more passive.”
Media was reporting that because of the pending release of self-driving cars (SDCs) into the mainstream consumer’s option base experts “estimate that hundreds of billions of dollars (if not trillions) will be lost by automakers, suppliers, dealers, insurers, parking companies, and many other car-related enterprises” including “the lost revenue for governments via licensing fees, taxes and tolls, and by personal injury lawyers and health insurers.”
Under a car sharing service (CSS), auto insurance could be drastically reduced possibly reinstating the widespread resurgence of no-fault coverage.
In densely populated urban centers, CSS would make more sense as riders could use the service to commute to work, go on a road-trip or run errands. Uber Technologies currently offers a service that allows the customer to order an SDC from any location that will take the rider where they want to go.
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