Dr. Rana El Kaliouby, co -founder and general director of AFFPPHPLEIVA, claimed:
“In recent years, Augthtiva has constantly continued new patents, because in fact a pioneer and we have developed areas of emotions (artificial intelligence), as well as human perception.
The width, as well as the depth of our patent portfolio reflects our involvement in crossing the limits of the vision of the computer system, machine learning, deep discovery, as well as AI from the side; And it is a testimony to our management in determining many imagination and various applications of human artificial intelligence of perception that shape sectors today and the future. “
The main advantage of this data is, of course, security. Finding drowsiness or dispersion can help save lives.
According to the Royal Society for preventing accidents (ROSPA), the main causes of the failure are human errors and/or ecological problems. Human error transfers the control list, noticed as a cause of 95 percent of the failure.
Nevertheless, this is not simply the safety of affective technology. In the case of other truck owners, an overview of their emotions, as well as existing perception, can provide better experience using points such as information and entertainment systems.
The current 6 licenses are:
1 These details can be used to manipulate a truck, including recommending a break, changes in the atmosphere in the cabin or triggering braking, as well as control.
2. Cognitive state of vehicle navigation (USA Patent No. 10922566): It affects the control of the vehicle through the multi -modal detection of the cognitive states of the owners. This is particularly helpful for semi -automatic cars to make sure that the safe transfer of control between cars and the truck and the driver. The analysis is carried out using signals such as speech vocalization and not speaking – such as yawning, as well as snoring – and physiological information consisting of a heart, as well as breathing speed. It also considers environmental problems such as temperature, lighting, time of day, climate, as well as entertainment status.
3. Manipulation of a cognitive vehicle by means of image processing in close infrared (Patent of the United States No. 10922567): processes of images of close infrared (NIR) from electronic cameras in vehicles, using deep neural networks that operate on rooted systems. The use of NIR cameras allows clear photos in darker lighting conditions, such as driving in the evening or through the passage.
4. Recommendation of the content of the car through affect (United States patent No. 10911829): Internet content is recommended using elements such as the emotional state of the vehicle residents. Personalized internet content improves transport impressions and provides completely new possibilities of moneting to producers and advertisers.
5. Recommendation of the content of the car using cognitive states (Patent of the United States No. 10897650): comparable to the above, but is based on understanding of cognitive countries drawn from several sensors in a truck. Directions to adapted content can help passengers focus, relax or calm down while traveling.
6. Image analysis to the evaluation of emotional metric (Patent of the United States No. 10869626): accumulates the psychological reactions of the individual to material and electronic experiences consumed on smartphones, as well as in cars. This helps a private song and measures their feelings over time, all with OPT and consent – acting as a physical tracking of efficiency for emotional health and well -being.
