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Virtual Multi-controller is a virtual game controlling gesture. This can control each and every PC game virtually using a single device. We
Virtual Multi-controller is a virtual game controlling gesture. This can control each and every PC game virtually using a single device. We can calibrate this device according to user’s choices that he /she wants to play. Most of us want to play video games virtually because it looks so fascinating, but can’t play because these type of devices are so expensive and even cannot be afforded. But with the help of this controller we can play virtually. Construction Idea: We are going to use some basic sensors like orientation sensor, heart beat sensor etc. These sensors can give us position and behavior of player which we need during playing the game.
Analista de Suporte
Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.
One click everything is ready.
Emotions are the essence of what makes us human. They impact our daily routines, our social interactions, our attention, perception, and memory. One of the strongest indicators for emotions is our face. As we laugh or cry we’re putting our emotions on display, allowing others to glimpse into our minds as they "read" our face based on changes in key face features.
Facial expressions refer to movements of the mimetic musculature of the face. The vast majority of these muscles are innervated by the cranial nerve, emanating from the brainstem between the pons and medulla. The nerve includes a motor root that supplies somatic muscle fibers to the muscles of the face, scalp, and outer ear, enabling the muscle movements that comprise facial expressions.
Computer-based facial expression recognition is a challenging task in computer vision as it captures raw, unfiltered emotional responses towards any type of emotionally engaging content.
Here we are going to determine (successfully) your mood and play music based on your determined emotion.
I am a student
I am a student
This is Huxley. We both lived in the small city in Canada called Victoria. His father, Matt, is in college to be a lawyer and his mother, Clarissa teaches yoga. His mother and my wife had almost the same due date. In fact my daughter, Nova, was born on his due date. My daughter, even though she had a rough start spending 3 days in NICU, lives a normal life but Huxley is different. While my daughter aspirated requiring medical attention Huxley's outcome was a bit more extreme. Huxley has cerebral palsy.
There are several solutions out there to help him but the costs are quite high. Most are out of pocket or on loan from the companies that produce them. This puts the technology out of reach of most people.
The major overhead of creating worlds that are capable for people like Huxley is the cost of tracking objects and computer vision. The Movidius Neural Compute Stick allows the object tracking and identification of real world objects on low end devices. Our application would provide assistance with individuals who have limited mobility by providing a lower cost solution in an attempt to democratize mobility and communication. It would be tune-able and customization to fit the individual's needs. There is no reason that a person with a disability can't be helped. With the Neural Compute Stick and a little innovation we can make the world just that much better.
Student at computer science engineering
A major problem today for car owners is that they are in constant fear of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In his project, a low-cost extendable framework for smart car security system is proposed, which consists of a FDS (Face Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global system for Mobile Communications) module and a control platform. The system described in this project automatically take photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. The face detection subsystem bases on optimized PCA (Principle Component Analysis) algorithm and can detect faces in cars. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. This system prototype is built on Android Board, controls all the processes. The owner is made able to perform car stopping through the message from his mobile. The GPS module in the car detects the location of the car. So by this system, the identification of the thief and the location of the car are simply smarter and cheaper than traditional one.
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