The game was first revealed via a teaser trailer under the working title Project Eve on Apfor PlayStation 4, Xbox One, and Microsoft Windows to be developed on Unreal Engine 4 by Shift Up, a company founded by Blade & Soul illustrator Kim Hyung-tae. Eve then makes contact with the elder Orcal and establishes relationships with the residents of Xion in order to further her mission to save Earth. Eventually, Eve meets a survivor named Adam, who leads her to Xion, the last surviving human city on Earth. To reclaim the Earth, the protagonist Eve and her squad are deployed from the Colony to fight the NA:tives and take back Earth. In the near future, humanity is driven from the Earth after a losing a war against alien invaders called NA:tives. Exploration around the game world features wall scaling and swinging on ropes in order to traverse the environment and find hidden secrets, such as extra costumes. The game also utilizes the PlayStation 5 DualSense controller's haptic feedback in order to deliver feedback on enemy attacks and weapon accuracy. A Burst Gauge meter is also filled up by parrying enemy attacks and executing combos, which can then be activated to grant buffs or use powerful attacks against enemies. BG is gained after successfully parrying and evading in battle. Skills are acquired after spending Beta Gauge (BG). Combat focuses on countering enemy attacks and proceeding to use combo skills and items to defeat enemies. The gameplay is split into two parts: combat and exploration. Stellar Blade is played from a third-person perspective. “To make communication possible for those who don’t speak ASL but would love to understand would mean so much,” Salgian said.Stellar Blade is an upcoming action-adventure game developed by Korean studio Shift Up and set to be released by publisher Sony Interactive Entertainment in 2023 for the PlayStation 5. “ASL is a fascinating application, especially looking at the accessibility aspect of it,” Salgian said. This project is part of Salgian’s on-going interest and research into visual gesture recognition that also includes applications to musical conducting and exercising. ![]() “We get to incrementally develop algorithms that have super fascinating real-time results.” “It’s such a hands-on thing for me to do,” he said of his contribution to the project, which consists of researching and developing the translator algorithms. The program tracks the user’s movements, provides the coordinates of every single joint in the hand, and uses the coordinates to extract gestures that are matched to ASL signs.Ĭomputer science major Ben Guerrieri ’26 discovered Salgian’s project shortly after arriving at TCNJ and is now working alongside her in this AI research. Salgian’s research utilizes a free machine-learning framework called Mediapipe, which is developed by Google and uses a camera to detect joint locations in real time. The pair will then develop the automated translation, she explained. The program will act more like a dictionary at first. ![]() “Right now, we’re looking at recognizing letters and words that have static gestures,” Salgian said, referring to letters in the ASL alphabet with no hand movement. Using computer vision and machine learning, the researchers are setting out to create a program to serve as a Google Translate tool for ASL speakers to sign to the camera and receive a direct translation. Andrea Salgian and Ben Guerrieri ’26 at work in the lab. Now, computer science professor Andrea Salgian and Ben Guerrieri ’26 are working to add one more language to the list: American Sign Language. Users can type or speak words to be translated, or even translate text in photos and videos using augmented reality. Services like Google Translate can help millions of people communicate in over 100 languages.
0 Comments
Leave a Reply. |