In Tesla's first fatal traffic accident, Tesla once said that he was not mistaken. He has made it clear that his auto-pilot function is not yet mature. Drivers still need to maintain a high degree of vigilance when they are in use. They are drivers. Excessively.
For this reason, some people refuted it. Others accepted it. The people who said they accept that after all, technology is not wrong, and new technologies need to undergo some trials. People with refutation thought that you simply stated that the driver could not leave the steering wheel with both hands and did not do actual supervision. After all, mankind is not a machine and walking is the human condition. How to supervise the behavior of drivers is really a problem.
A Japanese start-up, Little Software, which develops algorithms for inferring human emotions through brainwaves, has recently received widespread attention in the automotive industry. Little Software has developed an algorithm that classifies emotions in real time into six types based on data measured by commercially available brainwave sensors. These emotions are "calm", "drowdiness", "fear", "embarrassment", "comfort", and "fatigue." Little Software has 56 emotional guessing algorithms. The above six are the main emotions in the car driving process.
Brainwaves have been studied for more than a hundred years, but apart from being used in medical applications, such as helping the deaf to move limbs, it has been in the research phase. To measure one's emotions in real time, the person to be measured needs to wear the brainwave sensor. Little Software uses brainwave sensors produced by NeuroSky in the US to conduct research. Data collected by brainwave sensors is sent to smart phones via wireless communication. After monitoring the emotions of the driver, the system will adjust the car according to its emotional state. For example, when the driver is restless, he can play music that helps relieve emotions. If the driver is inferred to be tired, you can switch to "Automatic driving mode".
Using NeuroSky's Brainwave Sensors to Estimate Emotions and Displaying Results on Smartphones
However, wanting the driver to wear the sensor all the time is like keeping him constantly focused on. Therefore, Little Software is currently working hard to develop a technique that uses car sensors to guess emotions without using brainwave sensors. This technique can compare emotional results that are inferred through brainwaves with measurements from other on-board sensors. For example, six directions of emotion based on the brainwave sensor are associated with the direction of the line of sight measured by the in-vehicle camera, the expression, the body motion of the driver using a pressure sensor, and the like. If the relationship between the driver's line-of-sight direction, expression, and emotions measured by brain waves can be ascertained, the driver's emotions can also be inferred in real time without using an electroencephalogram sensor.
The use of brain wave emotion estimation algorithms is also expected to be used in the design and development phase of automobiles. For example, when determining the interior design, you can choose from a variety of programs to a high degree of comfort. It is also possible to use dampers and suspension spring designs that improve ride comfort when designing suspensions.
Little Software was founded for three years, but currently there are only five employees. One of the company's co-founders and CTO, Kawahara Duff, said that most of Japan’s auto makers have already given them an olive branch.†The company seems to be conducting joint research with several of these vendors.
Little SoftwareCTO Kawahara Duff
According to the industry, driverless driving will only be possible after 2020. During this period, the automatic driving function is only used as an aid. Drivers are still the main driver and decision maker before driverless drivers actually arrive. It is foreseeable that in the future there will be more companies like Little Software that monitor the emotions or behaviors of drivers and are concerned.
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